id	sid	tid	token	lemma	pos
cana-1086	1	1	communications	communication	NOUN
cana-1086	1	2	on	on	ADP
cana-1086	1	3	applied	apply	VERB
cana-1086	1	4	nonlinear	nonlinear	ADJ
cana-1086	1	5	analysis	analysis	NOUN
cana-1086	1	6	issn	issn	NOUN
cana-1086	1	7	:	:	PUNCT
cana-1086	1	8	1074	1074	NUM
cana-1086	1	9	-	-	PUNCT
cana-1086	1	10	133x	133x	NUM
cana-1086	1	11	vol	vol	NOUN
cana-1086	1	12	31	31	NUM
cana-1086	1	13	no	no	NOUN
cana-1086	1	14	.	.	PUNCT
cana-1086	2	1	5s	5s	NUM
cana-1086	2	2	(	(	PUNCT
cana-1086	2	3	2024	2024	NUM
cana-1086	2	4	)	)	PUNCT
cana-1086	2	5	507	507	NUM
cana-1086	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1086	2	7	promoting	promote	VERB
cana-1086	2	8	fairness	fairness	NOUN
cana-1086	2	9	in	in	ADP
cana-1086	2	10	recommender	recommender	NOUN
cana-1086	2	11	systems	system	NOUN
cana-1086	2	12	:	:	PUNCT
cana-1086	2	13	a	a	DET
cana-1086	2	14	multifaceted	multifaceted	ADJ
cana-1086	2	15	approach	approach	NOUN
cana-1086	2	16	harshali	harshali	VERB
cana-1086	2	17	bhuwad1	bhuwad1	PROPN
cana-1086	2	18	,	,	PUNCT
cana-1086	2	19	dr.jagdish.w.bakal2	dr.jagdish.w.bakal2	PROPN
cana-1086	2	20	1research	1research	NUM
cana-1086	2	21	scholar	scholar	NOUN
cana-1086	2	22	,	,	PUNCT
cana-1086	2	23	thadomal	thadomal	ADJ
cana-1086	2	24	shahani	shahani	NOUN
cana-1086	2	25	engineering	engineering	PROPN
cana-1086	2	26	college	college	PROPN
cana-1086	2	27	,	,	PUNCT
cana-1086	2	28	mumbai	mumbai	PROPN
cana-1086	2	29	,	,	PUNCT
cana-1086	2	30	400050	400050	NUM
cana-1086	2	31	,	,	PUNCT
cana-1086	2	32	maharashtra	maharashtra	PROPN
cana-1086	2	33	,	,	PUNCT
cana-1086	2	34	india	india	PROPN
cana-1086	2	35	2principal	2principal	NUM
cana-1086	2	36	,	,	PUNCT
cana-1086	2	37	pillai	pillai	PROPN
cana-1086	2	38	hoc	hoc	PROPN
cana-1086	2	39	college	college	PROPN
cana-1086	2	40	of	of	ADP
cana-1086	2	41	engineering	engineering	NOUN
cana-1086	2	42	technology	technology	NOUN
cana-1086	2	43	,	,	PUNCT
cana-1086	2	44	navi	navi	NOUN
cana-1086	2	45	-	-	PUNCT
cana-1086	2	46	mumbai	mumbai	PROPN
cana-1086	2	47	,	,	PUNCT
cana-1086	2	48	410207	410207	NUM
cana-1086	2	49	,	,	PUNCT
cana-1086	2	50	maharashtra	maharashtra	PROPN
cana-1086	2	51	,	,	PUNCT
cana-1086	2	52	india	india	PROPN
cana-1086	2	53	article	article	PROPN
cana-1086	2	54	history	history	NOUN
cana-1086	2	55	:	:	PUNCT
cana-1086	2	56	received	receive	VERB
cana-1086	2	57	:	:	PUNCT
cana-1086	2	58	16	16	NUM
cana-1086	2	59	-	-	SYM
cana-1086	2	60	05	05	NUM
cana-1086	2	61	-	-	PUNCT
cana-1086	2	62	2024	2024	NUM
cana-1086	2	63	revised	revise	VERB
cana-1086	2	64	:	:	PUNCT
cana-1086	2	65	24	24	NUM
cana-1086	2	66	-	-	PUNCT
cana-1086	2	67	06	06	NUM
cana-1086	2	68	-	-	PUNCT
cana-1086	2	69	2024	2024	NUM
cana-1086	2	70	accepted	accept	VERB
cana-1086	2	71	:	:	PUNCT
cana-1086	2	72	09	09	NUM
cana-1086	2	73	-	-	SYM
cana-1086	2	74	07	07	NUM
cana-1086	2	75	-	-	PUNCT
cana-1086	2	76	2024	2024	NUM
cana-1086	2	77	abstract	abstract	NOUN
cana-1086	2	78	:	:	PUNCT
cana-1086	2	79	the	the	DET
cana-1086	2	80	increasing	increase	VERB
cana-1086	2	81	prevalence	prevalence	NOUN
cana-1086	2	82	of	of	ADP
cana-1086	2	83	recommender	recommender	NOUN
cana-1086	2	84	systems	system	NOUN
cana-1086	2	85	necessitates	necessitate	VERB
cana-1086	2	86	a	a	DET
cana-1086	2	87	critical	critical	ADJ
cana-1086	2	88	examination	examination	NOUN
cana-1086	2	89	of	of	ADP
cana-1086	2	90	fairness	fairness	NOUN
cana-1086	2	91	concerns	concern	NOUN
cana-1086	2	92	.	.	PUNCT
cana-1086	3	1	biases	bias	NOUN
cana-1086	3	2	within	within	ADP
cana-1086	3	3	data	datum	NOUN
cana-1086	3	4	or	or	CCONJ
cana-1086	3	5	algorithms	algorithm	NOUN
cana-1086	3	6	can	can	AUX
cana-1086	3	7	lead	lead	VERB
cana-1086	3	8	to	to	ADP
cana-1086	3	9	discriminatory	discriminatory	ADJ
cana-1086	3	10	recommendations	recommendation	NOUN
cana-1086	3	11	,	,	PUNCT
cana-1086	3	12	hindering	hinder	VERB
cana-1086	3	13	user	user	NOUN
cana-1086	3	14	experience	experience	NOUN
cana-1086	3	15	and	and	CCONJ
cana-1086	3	16	potentially	potentially	ADV
cana-1086	3	17	causing	cause	VERB
cana-1086	3	18	societal	societal	ADJ
cana-1086	3	19	harm	harm	NOUN
cana-1086	3	20	.	.	PUNCT
cana-1086	4	1	this	this	DET
cana-1086	4	2	review	review	NOUN
cana-1086	4	3	paper	paper	NOUN
cana-1086	4	4	delves	delf	NOUN
cana-1086	4	5	into	into	ADP
cana-1086	4	6	the	the	DET
cana-1086	4	7	multifaceted	multifaceted	ADJ
cana-1086	4	8	landscape	landscape	NOUN
cana-1086	4	9	of	of	ADP
cana-1086	4	10	promoting	promote	VERB
cana-1086	4	11	fairness	fairness	NOUN
cana-1086	4	12	in	in	ADP
cana-1086	4	13	recommender	recommender	NOUN
cana-1086	4	14	systems	system	NOUN
cana-1086	4	15	.	.	PUNCT
cana-1086	5	1	we	we	PRON
cana-1086	5	2	explore	explore	VERB
cana-1086	5	3	various	various	ADJ
cana-1086	5	4	debiasing	debiase	VERB
cana-1086	5	5	techniques	technique	NOUN
cana-1086	5	6	,	,	PUNCT
cana-1086	5	7	including	include	VERB
cana-1086	5	8	data	datum	NOUN
cana-1086	5	9	preprocessing	preprocessing	NOUN
cana-1086	5	10	(	(	PUNCT
cana-1086	5	11	e.g.	e.g.	ADV
cana-1086	5	12	,	,	PUNCT
cana-1086	5	13	cleaning	cleaning	NOUN
cana-1086	5	14	and	and	CCONJ
cana-1086	5	15	filtering	filtering	NOUN
cana-1086	5	16	)	)	PUNCT
cana-1086	5	17	to	to	PART
cana-1086	5	18	address	address	VERB
cana-1086	5	19	biased	biased	ADJ
cana-1086	5	20	data	datum	NOUN
cana-1086	5	21	,	,	PUNCT
cana-1086	5	22	fairness	fairness	NOUN
cana-1086	5	23	-	-	PUNCT
cana-1086	5	24	aware	aware	ADJ
cana-1086	5	25	data	datum	NOUN
cana-1086	5	26	augmentation	augmentation	NOUN
cana-1086	5	27	to	to	ADP
cana-1086	5	28	counter	counter	NOUN
cana-1086	5	29	representation	representation	NOUN
cana-1086	5	30	imbalances	imbalance	NOUN
cana-1086	5	31	and	and	CCONJ
cana-1086	5	32	algorithmic	algorithmic	ADJ
cana-1086	5	33	debiasing	debiasing	NOUN
cana-1086	5	34	approaches	approach	NOUN
cana-1086	5	35	that	that	PRON
cana-1086	5	36	promote	promote	VERB
cana-1086	5	37	equitable	equitable	ADJ
cana-1086	5	38	treatment	treatment	NOUN
cana-1086	5	39	across	across	ADP
cana-1086	5	40	user	user	NOUN
cana-1086	5	41	groups	group	NOUN
cana-1086	5	42	.	.	PUNCT
cana-1086	6	1	we	we	PRON
cana-1086	6	2	further	far	ADV
cana-1086	6	3	examine	examine	VERB
cana-1086	6	4	fairness	fairness	NOUN
cana-1086	6	5	aware	aware	ADJ
cana-1086	6	6	metrics	metric	NOUN
cana-1086	6	7	that	that	PRON
cana-1086	6	8	go	go	VERB
cana-1086	6	9	beyond	beyond	ADP
cana-1086	6	10	traditional	traditional	ADJ
cana-1086	6	11	measures	measure	NOUN
cana-1086	6	12	like	like	ADP
cana-1086	6	13	click	click	VERB
cana-1086	6	14	-	-	PUNCT
cana-1086	6	15	through	through	ADP
cana-1086	6	16	rates	rate	NOUN
cana-1086	6	17	,	,	PUNCT
cana-1086	6	18	such	such	ADJ
cana-1086	6	19	as	as	ADP
cana-1086	6	20	parity	parity	NOUN
cana-1086	6	21	metrics	metric	NOUN
cana-1086	6	22	(	(	PUNCT
cana-1086	6	23	e.g.	e.g.	ADV
cana-1086	6	24	,	,	PUNCT
cana-1086	6	25	statistical	statistical	ADJ
cana-1086	6	26	parity	parity	NOUN
cana-1086	6	27	,	,	PUNCT
cana-1086	6	28	equality	equality	NOUN
cana-1086	6	29	of	of	ADP
cana-1086	6	30	opportunity	opportunity	NOUN
cana-1086	6	31	)	)	PUNCT
cana-1086	6	32	and	and	CCONJ
cana-1086	6	33	diversity	diversity	NOUN
cana-1086	6	34	metrics	metric	NOUN
cana-1086	6	35	(	(	PUNCT
cana-1086	6	36	e.g.	e.g.	ADV
cana-1086	6	37	,	,	PUNCT
cana-1086	6	38	coverage	coverage	NOUN
cana-1086	6	39	,	,	PUNCT
cana-1086	6	40	novelty	novelty	NOUN
cana-1086	6	41	)	)	PUNCT
cana-1086	6	42	to	to	PART
cana-1086	6	43	ensure	ensure	VERB
cana-1086	6	44	fair	fair	ADJ
cana-1086	6	45	distribution	distribution	NOUN
cana-1086	6	46	and	and	CCONJ
cana-1086	6	47	recommendation	recommendation	NOUN
cana-1086	6	48	variety	variety	NOUN
cana-1086	6	49	for	for	ADP
cana-1086	6	50	different	different	ADJ
cana-1086	6	51	users	user	NOUN
cana-1086	6	52	.	.	PUNCT
cana-1086	7	1	finally	finally	ADV
cana-1086	7	2	,	,	PUNCT
cana-1086	7	3	we	we	PRON
cana-1086	7	4	emphasize	emphasize	VERB
cana-1086	7	5	the	the	DET
cana-1086	7	6	significance	significance	NOUN
cana-1086	7	7	of	of	ADP
cana-1086	7	8	transparency	transparency	NOUN
cana-1086	7	9	and	and	CCONJ
cana-1086	7	10	user	user	NOUN
cana-1086	7	11	control	control	NOUN
cana-1086	7	12	.	.	PUNCT
cana-1086	8	1	by	by	ADP
cana-1086	8	2	providing	provide	VERB
cana-1086	8	3	users	user	NOUN
cana-1086	8	4	with	with	ADP
cana-1086	8	5	insights	insight	NOUN
cana-1086	8	6	into	into	ADP
cana-1086	8	7	recommendation	recommendation	NOUN
cana-1086	8	8	rationale	rationale	NOUN
cana-1086	8	9	and	and	CCONJ
cana-1086	8	10	empowering	empower	VERB
cana-1086	8	11	them	they	PRON
cana-1086	8	12	to	to	PART
cana-1086	8	13	manage	manage	VERB
cana-1086	8	14	their	their	PRON
cana-1086	8	15	data	datum	NOUN
cana-1086	8	16	and	and	CCONJ
cana-1086	8	17	preferences	preference	NOUN
cana-1086	8	18	,	,	PUNCT
cana-1086	8	19	we	we	PRON
cana-1086	8	20	can	can	AUX
cana-1086	8	21	build	build	VERB
cana-1086	8	22	trust	trust	NOUN
cana-1086	8	23	and	and	CCONJ
cana-1086	8	24	foster	foster	VERB
cana-1086	8	25	a	a	DET
cana-1086	8	26	more	more	ADV
cana-1086	8	27	equitable	equitable	ADJ
cana-1086	8	28	recommendation	recommendation	NOUN
cana-1086	8	29	ecosystem	ecosystem	NOUN
cana-1086	8	30	.	.	PUNCT
cana-1086	9	1	this	this	DET
cana-1086	9	2	review	review	NOUN
cana-1086	9	3	paper	paper	NOUN
cana-1086	9	4	sheds	shed	VERB
cana-1086	9	5	light	light	NOUN
cana-1086	9	6	on	on	ADP
cana-1086	9	7	the	the	DET
cana-1086	9	8	current	current	ADJ
cana-1086	9	9	state	state	NOUN
cana-1086	9	10	-	-	PUNCT
cana-1086	9	11	of	of	ADP
cana-1086	9	12	-	-	PUNCT
cana-1086	9	13	the	the	DET
cana-1086	9	14	-	-	PUNCT
cana-1086	9	15	art	art	NOUN
cana-1086	9	16	approaches	approach	NOUN
cana-1086	9	17	to	to	ADP
cana-1086	9	18	fair	fair	ADJ
cana-1086	9	19	recommender	recommender	NOUN
cana-1086	9	20	systems	system	NOUN
cana-1086	9	21	,	,	PUNCT
cana-1086	9	22	paving	pave	VERB
cana-1086	9	23	the	the	DET
cana-1086	9	24	way	way	NOUN
cana-1086	9	25	for	for	ADP
cana-1086	9	26	future	future	ADJ
cana-1086	9	27	research	research	NOUN
cana-1086	9	28	and	and	CCONJ
cana-1086	9	29	development	development	NOUN
cana-1086	9	30	in	in	ADP
cana-1086	9	31	this	this	DET
cana-1086	9	32	crucial	crucial	ADJ
cana-1086	9	33	area	area	NOUN
cana-1086	9	34	.	.	PUNCT
cana-1086	10	1	keywords	keyword	NOUN
cana-1086	10	2	:	:	PUNCT
cana-1086	10	3	recommender	recommender	NOUN
cana-1086	10	4	systems	system	NOUN
cana-1086	10	5	,	,	PUNCT
cana-1086	10	6	fairness	fairness	NOUN
cana-1086	10	7	,	,	PUNCT
cana-1086	10	8	debiasing	debiase	VERB
cana-1086	10	9	techniques	technique	NOUN
cana-1086	10	10	,	,	PUNCT
cana-1086	10	11	data	datum	NOUN
cana-1086	10	12	cleaning	cleaning	NOUN
cana-1086	10	13	,	,	PUNCT
cana-1086	10	14	data	datum	NOUN
cana-1086	10	15	augmentation	augmentation	NOUN
cana-1086	10	16	,	,	PUNCT
cana-1086	10	17	algorithmic	algorithmic	ADJ
cana-1086	10	18	debiasing	debiasing	NOUN
cana-1086	10	19	,	,	PUNCT
cana-1086	10	20	fairness	fairness	NOUN
cana-1086	10	21	-	-	PUNCT
cana-1086	10	22	aware	aware	ADJ
cana-1086	10	23	metrics	metric	NOUN
cana-1086	10	24	,	,	PUNCT
cana-1086	10	25	parity	parity	NOUN
cana-1086	10	26	metrics	metric	NOUN
cana-1086	10	27	,	,	PUNCT
cana-1086	10	28	diversity	diversity	NOUN
cana-1086	10	29	metrics	metric	NOUN
cana-1086	10	30	,	,	PUNCT
cana-1086	10	31	transparency	transparency	NOUN
cana-1086	10	32	,	,	PUNCT
cana-1086	10	33	user	user	NOUN
cana-1086	10	34	control	control	NOUN
cana-1086	10	35	.	.	PUNCT
cana-1086	11	1	1	1	X
cana-1086	11	2	.	.	X
cana-1086	11	3	introduction	introduction	NOUN
cana-1086	11	4	recommender	recommender	NOUN
cana-1086	11	5	systems	system	NOUN
cana-1086	11	6	have	have	AUX
cana-1086	11	7	become	become	VERB
cana-1086	11	8	an	an	DET
cana-1086	11	9	essential	essential	ADJ
cana-1086	11	10	part	part	NOUN
cana-1086	11	11	of	of	ADP
cana-1086	11	12	our	our	PRON
cana-1086	11	13	daily	daily	ADJ
cana-1086	11	14	lives	life	NOUN
cana-1086	11	15	,	,	PUNCT
cana-1086	11	16	assisting	assist	VERB
cana-1086	11	17	us	we	PRON
cana-1086	11	18	in	in	ADP
cana-1086	11	19	navigating	navigate	VERB
cana-1086	11	20	the	the	DET
cana-1086	11	21	ever	ever	ADV
cana-1086	11	22	-	-	PUNCT
cana-1086	11	23	growing	grow	VERB
cana-1086	11	24	sea	sea	NOUN
cana-1086	11	25	of	of	ADP
cana-1086	11	26	information	information	NOUN
cana-1086	11	27	online	online	ADV
cana-1086	11	28	.	.	PUNCT
cana-1086	12	1	these	these	DET
cana-1086	12	2	intelligent	intelligent	ADJ
cana-1086	12	3	algorithms	algorithm	NOUN
cana-1086	12	4	personalize	personalize	VERB
cana-1086	12	5	user	user	NOUN
cana-1086	12	6	experiences	experience	NOUN
cana-1086	12	7	by	by	ADP
cana-1086	12	8	suggesting	suggest	VERB
cana-1086	12	9	relevant	relevant	ADJ
cana-1086	12	10	items	item	NOUN
cana-1086	12	11	,	,	PUNCT
cana-1086	12	12	ranging	range	VERB
cana-1086	12	13	from	from	ADP
cana-1086	12	14	products	product	NOUN
cana-1086	12	15	and	and	CCONJ
cana-1086	12	16	movies	movie	NOUN
cana-1086	12	17	to	to	ADP
cana-1086	12	18	music	music	NOUN
cana-1086	12	19	and	and	CCONJ
cana-1086	12	20	news	news	NOUN
cana-1086	12	21	,	,	PUNCT
cana-1086	12	22	based	base	VERB
cana-1086	12	23	on	on	ADP
cana-1086	12	24	individual	individual	ADJ
cana-1086	12	25	preferences	preference	NOUN
cana-1086	12	26	and	and	CCONJ
cana-1086	12	27	past	past	ADJ
cana-1086	12	28	interactions	interaction	NOUN
cana-1086	12	29	[	[	X
cana-1086	12	30	1	1	NUM
cana-1086	12	31	]	]	PUNCT
cana-1086	12	32	.	.	PUNCT
cana-1086	13	1	by	by	ADP
cana-1086	13	2	filtering	filter	VERB
cana-1086	13	3	the	the	DET
cana-1086	13	4	vast	vast	ADJ
cana-1086	13	5	amount	amount	NOUN
cana-1086	13	6	of	of	ADP
cana-1086	13	7	data	datum	NOUN
cana-1086	13	8	available	available	ADJ
cana-1086	13	9	,	,	PUNCT
cana-1086	13	10	recommender	recommender	NOUN
cana-1086	13	11	systems	system	NOUN
cana-1086	13	12	empower	empower	NOUN
cana-1086	13	13	users	user	NOUN
cana-1086	13	14	to	to	PART
cana-1086	13	15	make	make	VERB
cana-1086	13	16	informed	informed	ADJ
cana-1086	13	17	choices	choice	NOUN
cana-1086	13	18	aligned	align	VERB
cana-1086	13	19	with	with	ADP
cana-1086	13	20	their	their	PRON
cana-1086	13	21	interests	interest	NOUN
cana-1086	13	22	[	[	X
cana-1086	13	23	2	2	NUM
cana-1086	13	24	]	]	PUNCT
cana-1086	13	25	.	.	PUNCT
cana-1086	14	1	however	however	ADV
cana-1086	14	2	,	,	PUNCT
cana-1086	14	3	while	while	SCONJ
cana-1086	14	4	undeniably	undeniably	ADV
cana-1086	14	5	beneficial	beneficial	ADJ
cana-1086	14	6	,	,	PUNCT
cana-1086	14	7	there	there	PRON
cana-1086	14	8	is	be	VERB
cana-1086	14	9	a	a	DET
cana-1086	14	10	growing	grow	VERB
cana-1086	14	11	concern	concern	NOUN
cana-1086	14	12	regarding	regard	VERB
cana-1086	14	13	fairness	fairness	NOUN
cana-1086	14	14	and	and	CCONJ
cana-1086	14	15	bias	bias	NOUN
cana-1086	14	16	within	within	ADP
cana-1086	14	17	these	these	DET
cana-1086	14	18	powerful	powerful	ADJ
cana-1086	14	19	algorithms	algorithm	NOUN
cana-1086	14	20	.	.	PUNCT
cana-1086	15	1	traditionally	traditionally	ADV
cana-1086	15	2	,	,	PUNCT
cana-1086	15	3	research	research	NOUN
cana-1086	15	4	focused	focus	VERB
cana-1086	15	5	primarily	primarily	ADV
cana-1086	15	6	on	on	ADP
cana-1086	15	7	the	the	DET
cana-1086	15	8	value	value	NOUN
cana-1086	15	9	recommender	recommender	NOUN
cana-1086	15	10	systems	system	NOUN
cana-1086	15	11	deliver	deliver	VERB
cana-1086	15	12	to	to	ADP
cana-1086	15	13	consumers	consumer	NOUN
cana-1086	15	14	.	.	PUNCT
cana-1086	16	1	however	however	ADV
cana-1086	16	2	,	,	PUNCT
cana-1086	16	3	recent	recent	ADJ
cana-1086	16	4	years	year	NOUN
cana-1086	16	5	have	have	AUX
cana-1086	16	6	shed	shed	VERB
cana-1086	16	7	light	light	NOUN
cana-1086	16	8	on	on	ADP
cana-1086	16	9	the	the	DET
cana-1086	16	10	potential	potential	NOUN
cana-1086	16	11	for	for	SCONJ
cana-1086	16	12	these	these	DET
cana-1086	16	13	systems	system	NOUN
cana-1086	16	14	to	to	PART
cana-1086	16	15	perpetuate	perpetuate	VERB
cana-1086	16	16	biases	bias	NOUN
cana-1086	16	17	and	and	CCONJ
cana-1086	16	18	have	have	VERB
cana-1086	16	19	unintended	unintended	ADJ
cana-1086	16	20	consequences	consequence	NOUN
cana-1086	16	21	[	[	X
cana-1086	16	22	3	3	NUM
cana-1086	16	23	]	]	PUNCT
cana-1086	16	24	.	.	PUNCT
cana-1086	17	1	these	these	DET
cana-1086	17	2	biases	bias	NOUN
cana-1086	17	3	can	can	AUX
cana-1086	17	4	stem	stem	VERB
cana-1086	17	5	from	from	ADP
cana-1086	17	6	various	various	ADJ
cana-1086	17	7	factors	factor	NOUN
cana-1086	17	8	,	,	PUNCT
cana-1086	17	9	such	such	ADJ
cana-1086	17	10	as	as	ADP
cana-1086	17	11	demographics	demographic	NOUN
cana-1086	17	12	,	,	PUNCT
cana-1086	17	13	user	user	NOUN
cana-1086	17	14	behaviour	behaviour	NOUN
cana-1086	17	15	,	,	PUNCT
cana-1086	17	16	and	and	CCONJ
cana-1086	17	17	even	even	ADV
cana-1086	17	18	the	the	DET
cana-1086	17	19	inherent	inherent	ADJ
cana-1086	17	20	popularity	popularity	NOUN
cana-1086	17	21	of	of	ADP
cana-1086	17	22	certain	certain	ADJ
cana-1086	17	23	items	item	NOUN
cana-1086	17	24	.	.	PUNCT
cana-1086	18	1	one	one	NUM
cana-1086	18	2	well	well	ADV
cana-1086	18	3	-	-	PUNCT
cana-1086	18	4	known	know	VERB
cana-1086	18	5	issue	issue	NOUN
cana-1086	18	6	is	be	AUX
cana-1086	18	7	bias	bias	NOUN
cana-1086	18	8	towards	towards	ADP
cana-1086	18	9	popular	popular	ADJ
cana-1086	18	10	items	item	NOUN
cana-1086	18	11	.	.	PUNCT
cana-1086	19	1	popular	popular	ADJ
cana-1086	19	2	items	item	NOUN
cana-1086	19	3	tend	tend	VERB
cana-1086	19	4	to	to	PART
cana-1086	19	5	receive	receive	VERB
cana-1086	19	6	more	more	ADJ
cana-1086	19	7	exposure	exposure	NOUN
cana-1086	19	8	and	and	CCONJ
cana-1086	19	9	engagement	engagement	NOUN
cana-1086	19	10	from	from	ADP
cana-1086	19	11	users	user	NOUN
cana-1086	19	12	,	,	PUNCT
cana-1086	19	13	leading	lead	VERB
cana-1086	19	14	recommender	recommender	NOUN
cana-1086	19	15	systems	system	NOUN
cana-1086	19	16	to	to	PART
cana-1086	19	17	prioritize	prioritize	VERB
cana-1086	19	18	them	they	PRON
cana-1086	19	19	over	over	ADP
cana-1086	19	20	potentially	potentially	ADV
cana-1086	19	21	relevant	relevant	ADJ
cana-1086	19	22	but	but	CCONJ
cana-1086	19	23	less	less	ADV
cana-1086	19	24	popular	popular	ADJ
cana-1086	19	25	recommendations	recommendation	NOUN
cana-1086	19	26	.	.	PUNCT
cana-1086	20	1	while	while	SCONJ
cana-1086	20	2	this	this	PRON
cana-1086	20	3	is	be	AUX
cana-1086	20	4	a	a	DET
cana-1086	20	5	significant	significant	ADJ
cana-1086	20	6	concern	concern	NOUN
cana-1086	20	7	,	,	PUNCT
cana-1086	20	8	it	it	PRON
cana-1086	20	9	is	be	AUX
cana-1086	20	10	just	just	ADV
cana-1086	20	11	one	one	NUM
cana-1086	20	12	facet	facet	NOUN
cana-1086	20	13	of	of	ADP
cana-1086	20	14	the	the	DET
cana-1086	20	15	broader	broad	ADJ
cana-1086	20	16	and	and	CCONJ
cana-1086	20	17	more	more	ADV
cana-1086	20	18	complex	complex	ADJ
cana-1086	20	19	issue	issue	NOUN
cana-1086	20	20	of	of	ADP
cana-1086	20	21	fairness	fairness	NOUN
cana-1086	20	22	and	and	CCONJ
cana-1086	20	23	bias	bias	NOUN
cana-1086	20	24	in	in	ADP
cana-1086	20	25	recommender	recommender	NOUN
cana-1086	20	26	systems	system	NOUN
cana-1086	20	27	.	.	PUNCT
cana-1086	21	1	communications	communication	NOUN
cana-1086	21	2	on	on	ADP
cana-1086	21	3	applied	apply	VERB
cana-1086	21	4	nonlinear	nonlinear	ADJ
cana-1086	21	5	analysis	analysis	NOUN
cana-1086	21	6	issn	issn	NOUN
cana-1086	21	7	:	:	PUNCT
cana-1086	21	8	1074	1074	NUM
cana-1086	21	9	-	-	PUNCT
cana-1086	21	10	133x	133x	NUM
cana-1086	21	11	vol	vol	NOUN
cana-1086	21	12	31	31	NUM
cana-1086	21	13	no	no	NOUN
cana-1086	21	14	.	.	PUNCT
cana-1086	22	1	5s	5s	NUM
cana-1086	22	2	(	(	PUNCT
cana-1086	22	3	2024	2024	NUM
cana-1086	22	4	)	)	PUNCT
cana-1086	22	5	508	508	NUM
cana-1086	22	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1086	22	7	one	one	NUM
cana-1086	22	8	under	under	ADV
cana-1086	22	9	-	-	PUNCT
cana-1086	22	10	explored	explore	VERB
cana-1086	22	11	challenge	challenge	NOUN
cana-1086	22	12	in	in	ADP
cana-1086	22	13	achieving	achieve	VERB
cana-1086	22	14	fairness	fairness	NOUN
cana-1086	22	15	is	be	AUX
cana-1086	22	16	the	the	DET
cana-1086	22	17	dynamic	dynamic	ADJ
cana-1086	22	18	nature	nature	NOUN
cana-1086	22	19	of	of	ADP
cana-1086	22	20	user	user	NOUN
cana-1086	22	21	preferences	preference	NOUN
cana-1086	22	22	.	.	PUNCT
cana-1086	23	1	as	as	ADP
cana-1086	23	2	yoo	yoo	PROPN
cana-1086	23	3	et	et	PROPN
cana-1086	23	4	al	al	PROPN
cana-1086	23	5	.	.	PROPN
cana-1086	24	1	(	(	PUNCT
cana-1086	24	2	2023	2023	NUM
cana-1086	24	3	)	)	PUNCT
cana-1086	24	4	point	point	VERB
cana-1086	24	5	out	out	ADP
cana-1086	24	6	,	,	PUNCT
cana-1086	24	7	recommender	recommender	NOUN
cana-1086	24	8	systems	system	NOUN
cana-1086	24	9	that	that	PRON
cana-1086	24	10	adapt	adapt	VERB
cana-1086	24	11	to	to	ADP
cana-1086	24	12	new	new	ADJ
cana-1086	24	13	user	user	NOUN
cana-1086	24	14	data	datum	NOUN
cana-1086	24	15	can	can	AUX
cana-1086	24	16	experience	experience	VERB
cana-1086	24	17	degradation	degradation	NOUN
cana-1086	24	18	in	in	ADP
cana-1086	24	19	fairness	fairness	NOUN
cana-1086	24	20	over	over	ADP
cana-1086	24	21	time	time	NOUN
cana-1086	24	22	,	,	PUNCT
cana-1086	24	23	despite	despite	SCONJ
cana-1086	24	24	improvements	improvement	NOUN
cana-1086	24	25	in	in	ADP
cana-1086	24	26	overall	overall	ADJ
cana-1086	24	27	recommendation	recommendation	NOUN
cana-1086	24	28	performance	performance	NOUN
cana-1086	24	29	[	[	X
cana-1086	24	30	4	4	NUM
cana-1086	24	31	]	]	PUNCT
cana-1086	24	32	.	.	PUNCT
cana-1086	25	1	this	this	DET
cana-1086	25	2	highlights	highlight	VERB
cana-1086	25	3	the	the	DET
cana-1086	25	4	need	need	NOUN
cana-1086	25	5	for	for	ADP
cana-1086	25	6	novel	novel	ADJ
cana-1086	25	7	approaches	approach	NOUN
cana-1086	25	8	that	that	PRON
cana-1086	25	9	can	can	AUX
cana-1086	25	10	maintain	maintain	VERB
cana-1086	25	11	fairness	fairness	NOUN
cana-1086	25	12	while	while	SCONJ
cana-1086	25	13	adapting	adapt	VERB
cana-1086	25	14	to	to	ADP
cana-1086	25	15	evolving	evolve	VERB
cana-1086	25	16	user	user	NOUN
cana-1086	25	17	preferences	preference	NOUN
cana-1086	25	18	.	.	PUNCT
cana-1086	26	1	this	this	DET
cana-1086	26	2	review	review	NOUN
cana-1086	26	3	paper	paper	NOUN
cana-1086	26	4	delves	delf	NOUN
cana-1086	26	5	into	into	ADP
cana-1086	26	6	this	this	DET
cana-1086	26	7	critical	critical	ADJ
cana-1086	26	8	issue	issue	NOUN
cana-1086	26	9	,	,	PUNCT
cana-1086	26	10	exploring	explore	VERB
cana-1086	26	11	how	how	SCONJ
cana-1086	26	12	recommender	recommender	NOUN
cana-1086	26	13	systems	system	NOUN
cana-1086	26	14	can	can	AUX
cana-1086	26	15	unintentionally	unintentionally	ADV
cana-1086	26	16	perpetuate	perpetuate	VERB
cana-1086	26	17	biases	bias	NOUN
cana-1086	26	18	.	.	PUNCT
cana-1086	27	1	we	we	PRON
cana-1086	27	2	will	will	AUX
cana-1086	27	3	analyse	analyse	VERB
cana-1086	27	4	the	the	DET
cana-1086	27	5	various	various	ADJ
cana-1086	27	6	sources	source	NOUN
cana-1086	27	7	of	of	ADP
cana-1086	27	8	bias	bias	NOUN
cana-1086	27	9	within	within	ADP
cana-1086	27	10	these	these	DET
cana-1086	27	11	systems	system	NOUN
cana-1086	27	12	and	and	CCONJ
cana-1086	27	13	their	their	PRON
cana-1086	27	14	impact	impact	NOUN
cana-1086	27	15	on	on	ADP
cana-1086	27	16	users	user	NOUN
cana-1086	27	17	and	and	CCONJ
cana-1086	27	18	society	society	NOUN
cana-1086	27	19	.	.	PUNCT
cana-1086	28	1	additionally	additionally	ADV
cana-1086	28	2	,	,	PUNCT
cana-1086	28	3	we	we	PRON
cana-1086	28	4	will	will	AUX
cana-1086	28	5	examine	examine	VERB
cana-1086	28	6	promising	promising	ADJ
cana-1086	28	7	approaches	approach	NOUN
cana-1086	28	8	and	and	CCONJ
cana-1086	28	9	ongoing	ongoing	ADJ
cana-1086	28	10	research	research	NOUN
cana-1086	28	11	efforts	effort	NOUN
cana-1086	28	12	focused	focus	VERB
cana-1086	28	13	on	on	ADP
cana-1086	28	14	promoting	promote	VERB
cana-1086	28	15	fair	fair	ADJ
cana-1086	28	16	and	and	CCONJ
cana-1086	28	17	unbiased	unbiased	ADJ
cana-1086	28	18	recommendations	recommendation	NOUN
cana-1086	28	19	.	.	PUNCT
cana-1086	29	1	by	by	ADP
cana-1086	29	2	comprehensively	comprehensively	ADV
cana-1086	29	3	reviewing	review	VERB
cana-1086	29	4	existing	exist	VERB
cana-1086	29	5	research	research	NOUN
cana-1086	29	6	,	,	PUNCT
cana-1086	29	7	this	this	DET
cana-1086	29	8	paper	paper	NOUN
cana-1086	29	9	aims	aim	VERB
cana-1086	29	10	to	to	PART
cana-1086	29	11	illuminate	illuminate	VERB
cana-1086	29	12	the	the	DET
cana-1086	29	13	complexities	complexity	NOUN
cana-1086	29	14	of	of	ADP
cana-1086	29	15	fairness	fairness	NOUN
cana-1086	29	16	in	in	ADP
cana-1086	29	17	recommender	recommender	NOUN
cana-1086	29	18	systems	system	NOUN
cana-1086	29	19	.	.	PUNCT
cana-1086	30	1	we	we	PRON
cana-1086	30	2	hope	hope	VERB
cana-1086	30	3	to	to	PART
cana-1086	30	4	highlight	highlight	VERB
cana-1086	30	5	the	the	DET
cana-1086	30	6	importance	importance	NOUN
cana-1086	30	7	of	of	ADP
cana-1086	30	8	addressing	address	VERB
cana-1086	30	9	bias	bias	NOUN
cana-1086	30	10	in	in	ADP
cana-1086	30	11	this	this	DET
cana-1086	30	12	rapidly	rapidly	ADV
cana-1086	30	13	evolving	evolve	VERB
cana-1086	30	14	field	field	NOUN
cana-1086	30	15	and	and	CCONJ
cana-1086	30	16	pave	pave	VERB
cana-1086	30	17	the	the	DET
cana-1086	30	18	way	way	NOUN
cana-1086	30	19	for	for	ADP
cana-1086	30	20	developing	develop	VERB
cana-1086	30	21	more	more	ADV
cana-1086	30	22	equitable	equitable	ADJ
cana-1086	30	23	and	and	CCONJ
cana-1086	30	24	responsible	responsible	ADJ
cana-1086	30	25	recommendation	recommendation	NOUN
cana-1086	30	26	algorithms	algorithm	NOUN
cana-1086	30	27	.	.	PUNCT
cana-1086	31	1	2	2	X
cana-1086	31	2	.	.	X
cana-1086	31	3	background	background	NOUN
cana-1086	31	4	on	on	ADP
cana-1086	31	5	fairness	fairness	NOUN
cana-1086	31	6	and	and	CCONJ
cana-1086	31	7	bias	bias	NOUN
cana-1086	31	8	in	in	ADP
cana-1086	31	9	machine	machine	NOUN
cana-1086	31	10	learning	learn	VERB
cana-1086	31	11	fairness	fairness	NOUN
cana-1086	31	12	in	in	ADP
cana-1086	31	13	machine	machine	NOUN
cana-1086	31	14	learning	learning	NOUN
cana-1086	31	15	(	(	PUNCT
cana-1086	31	16	ml	ml	NOUN
cana-1086	31	17	)	)	PUNCT
cana-1086	31	18	algorithms	algorithm	NOUN
cana-1086	31	19	refers	refer	VERB
cana-1086	31	20	to	to	ADP
cana-1086	31	21	the	the	DET
cana-1086	31	22	absence	absence	NOUN
cana-1086	31	23	of	of	ADP
cana-1086	31	24	prejudice	prejudice	NOUN
cana-1086	31	25	or	or	CCONJ
cana-1086	31	26	discriminatory	discriminatory	ADJ
cana-1086	31	27	outcomes	outcome	NOUN
cana-1086	31	28	based	base	VERB
cana-1086	31	29	on	on	ADP
cana-1086	31	30	irrelevant	irrelevant	ADJ
cana-1086	31	31	characteristics	characteristic	NOUN
cana-1086	31	32	[	[	X
cana-1086	31	33	5	5	NUM
cana-1086	31	34	]	]	PUNCT
cana-1086	31	35	.	.	PUNCT
cana-1086	32	1	ideally	ideally	ADV
cana-1086	32	2	,	,	PUNCT
cana-1086	32	3	ml	ml	ADP
cana-1086	32	4	models	model	NOUN
cana-1086	32	5	should	should	AUX
cana-1086	32	6	make	make	VERB
cana-1086	32	7	predictions	prediction	NOUN
cana-1086	32	8	or	or	CCONJ
cana-1086	32	9	recommendations	recommendation	NOUN
cana-1086	32	10	solely	solely	ADV
cana-1086	32	11	based	base	VERB
cana-1086	32	12	on	on	ADP
cana-1086	32	13	the	the	DET
cana-1086	32	14	relevant	relevant	ADJ
cana-1086	32	15	features	feature	NOUN
cana-1086	32	16	used	use	VERB
cana-1086	32	17	for	for	ADP
cana-1086	32	18	training	training	NOUN
cana-1086	32	19	,	,	PUNCT
cana-1086	32	20	without	without	ADP
cana-1086	32	21	favouring	favour	VERB
cana-1086	32	22	or	or	CCONJ
cana-1086	32	23	disfavouring	disfavour	VERB
cana-1086	32	24	specific	specific	ADJ
cana-1086	32	25	groups	group	NOUN
cana-1086	32	26	or	or	CCONJ
cana-1086	32	27	individuals	individual	NOUN
cana-1086	32	28	.	.	PUNCT
cana-1086	33	1	however	however	ADV
cana-1086	33	2	,	,	PUNCT
cana-1086	33	3	bias	bias	NOUN
cana-1086	33	4	can	can	AUX
cana-1086	33	5	creep	creep	VERB
cana-1086	33	6	into	into	ADP
cana-1086	33	7	ml	ml	NOUN
cana-1086	33	8	models	model	NOUN
cana-1086	33	9	in	in	ADP
cana-1086	33	10	various	various	ADJ
cana-1086	33	11	ways	way	NOUN
cana-1086	33	12	,	,	PUNCT
cana-1086	33	13	leading	lead	VERB
cana-1086	33	14	to	to	ADP
cana-1086	33	15	unfair	unfair	ADJ
cana-1086	33	16	outcomes	outcome	NOUN
cana-1086	33	17	.	.	PUNCT
cana-1086	34	1	bias	bias	NOUN
cana-1086	34	2	,	,	PUNCT
cana-1086	34	3	in	in	ADP
cana-1086	34	4	this	this	DET
cana-1086	34	5	context	context	NOUN
cana-1086	34	6	,	,	PUNCT
cana-1086	34	7	refers	refer	VERB
cana-1086	34	8	to	to	ADP
cana-1086	34	9	a	a	DET
cana-1086	34	10	systematic	systematic	ADJ
cana-1086	34	11	preference	preference	NOUN
cana-1086	34	12	or	or	CCONJ
cana-1086	34	13	prejudice	prejudice	NOUN
cana-1086	34	14	within	within	ADP
cana-1086	34	15	the	the	DET
cana-1086	34	16	algorithm	algorithm	NOUN
cana-1086	34	17	that	that	PRON
cana-1086	34	18	can	can	AUX
cana-1086	34	19	skew	skew	VERB
cana-1086	34	20	its	its	PRON
cana-1086	34	21	outputs	output	NOUN
cana-1086	34	22	[	[	X
cana-1086	34	23	6	6	NUM
cana-1086	34	24	]	]	PUNCT
cana-1086	34	25	.	.	PUNCT
cana-1086	35	1	this	this	DET
cana-1086	35	2	bias	bias	NOUN
cana-1086	35	3	can	can	AUX
cana-1086	35	4	originate	originate	VERB
cana-1086	35	5	from	from	ADP
cana-1086	35	6	different	different	ADJ
cana-1086	35	7	sources	source	NOUN
cana-1086	35	8	,	,	PUNCT
cana-1086	35	9	affecting	affect	VERB
cana-1086	35	10	fairness	fairness	NOUN
cana-1086	35	11	in	in	ADP
cana-1086	35	12	various	various	ADJ
cana-1086	35	13	ways	way	NOUN
cana-1086	35	14	.	.	PUNCT
cana-1086	36	1	here	here	ADV
cana-1086	36	2	is	be	AUX
cana-1086	36	3	a	a	DET
cana-1086	36	4	breakdown	breakdown	NOUN
cana-1086	36	5	of	of	ADP
cana-1086	36	6	some	some	DET
cana-1086	36	7	key	key	ADJ
cana-1086	36	8	types	type	NOUN
cana-1086	36	9	of	of	ADP
cana-1086	36	10	fairness	fairness	NOUN
cana-1086	36	11	concerns	concern	NOUN
cana-1086	36	12	in	in	ADP
cana-1086	36	13	ml	ml	ADP
cana-1086	36	14	algorithms	algorithm	NOUN
cana-1086	36	15	:	:	PUNCT
cana-1086	36	16	2.1	2.1	NUM
cana-1086	36	17	types	type	NOUN
cana-1086	36	18	of	of	ADP
cana-1086	36	19	fairness	fairness	NOUN
cana-1086	36	20	concerns	concern	NOUN
cana-1086	36	21	in	in	ADP
cana-1086	36	22	machine	machine	NOUN
cana-1086	36	23	learning	learning	NOUN
cana-1086	36	24	table	table	NOUN
cana-1086	36	25	1	1	NUM
cana-1086	36	26	summarizes	summarize	NOUN
cana-1086	36	27	the	the	DET
cana-1086	36	28	different	different	ADJ
cana-1086	36	29	types	type	NOUN
cana-1086	36	30	of	of	ADP
cana-1086	36	31	fairness	fairness	NOUN
cana-1086	36	32	concerns	concern	NOUN
cana-1086	36	33	,	,	PUNCT
cana-1086	36	34	their	their	PRON
cana-1086	36	35	descriptions	description	NOUN
cana-1086	36	36	,	,	PUNCT
cana-1086	36	37	focus	focus	NOUN
cana-1086	36	38	areas	area	NOUN
cana-1086	36	39	,	,	PUNCT
cana-1086	36	40	and	and	CCONJ
cana-1086	36	41	examples	example	NOUN
cana-1086	36	42	relevant	relevant	ADJ
cana-1086	36	43	to	to	ADP
cana-1086	36	44	recommender	recommender	NOUN
cana-1086	36	45	systems	system	NOUN
cana-1086	36	46	table	table	NOUN
cana-1086	36	47	1	1	NUM
cana-1086	36	48	:	:	PUNCT
cana-1086	36	49	types	type	NOUN
cana-1086	36	50	of	of	ADP
cana-1086	36	51	fairness	fairness	NOUN
cana-1086	36	52	concerns	concern	NOUN
cana-1086	36	53	in	in	ADP
cana-1086	36	54	machine	machine	NOUN
cana-1086	36	55	learning	learn	VERB
cana-1086	36	56	2.2	2.2	NUM
cana-1086	36	57	methodologies	methodology	NOUN
cana-1086	36	58	to	to	PART
cana-1086	36	59	address	address	VERB
cana-1086	36	60	fairness	fairness	NOUN
cana-1086	36	61	concerns	concern	NOUN
cana-1086	36	62	beyond	beyond	ADP
cana-1086	36	63	understanding	understand	VERB
cana-1086	36	64	the	the	DET
cana-1086	36	65	different	different	ADJ
cana-1086	36	66	types	type	NOUN
cana-1086	36	67	of	of	ADP
cana-1086	36	68	fairness	fairness	NOUN
cana-1086	36	69	concerns	concern	NOUN
cana-1086	36	70	,	,	PUNCT
cana-1086	36	71	it	it	PRON
cana-1086	36	72	’s	’	VERB
cana-1086	36	73	crucial	crucial	ADJ
cana-1086	36	74	to	to	PART
cana-1086	36	75	explore	explore	VERB
cana-1086	36	76	the	the	DET
cana-1086	36	77	methodologies	methodology	NOUN
cana-1086	36	78	used	use	VERB
cana-1086	36	79	to	to	PART
cana-1086	36	80	address	address	VERB
cana-1086	36	81	them	they	PRON
cana-1086	36	82	.	.	PUNCT
cana-1086	37	1	these	these	DET
cana-1086	37	2	methodologies	methodology	NOUN
cana-1086	37	3	can	can	AUX
cana-1086	37	4	be	be	AUX
cana-1086	37	5	applied	apply	VERB
cana-1086	37	6	at	at	ADP
cana-1086	37	7	various	various	ADJ
cana-1086	37	8	stages	stage	NOUN
cana-1086	37	9	of	of	ADP
cana-1086	37	10	the	the	DET
cana-1086	37	11	ml	ml	PROPN
cana-1086	37	12	pipeline	pipeline	NOUN
cana-1086	37	13	,	,	PUNCT
cana-1086	37	14	from	from	ADP
cana-1086	37	15	data	data	NOUN
cana-1086	37	16	collection	collection	NOUN
cana-1086	37	17	and	and	CCONJ
cana-1086	37	18	training	training	NOUN
cana-1086	37	19	to	to	ADP
cana-1086	37	20	model	model	NOUN
cana-1086	37	21	evaluation	evaluation	NOUN
cana-1086	37	22	and	and	CCONJ
cana-1086	37	23	deployment	deployment	NOUN
cana-1086	37	24	.	.	PUNCT
cana-1086	38	1	specific	specific	ADJ
cana-1086	38	2	approaches	approach	NOUN
cana-1086	38	3	will	will	AUX
cana-1086	38	4	vary	vary	VERB
cana-1086	38	5	depending	depend	VERB
cana-1086	38	6	on	on	ADP
cana-1086	38	7	the	the	DET
cana-1086	38	8	type	type	NOUN
cana-1086	38	9	of	of	ADP
cana-1086	38	10	fairness	fairness	NOUN
cana-1086	38	11	concern	concern	NOUN
cana-1086	38	12	being	be	AUX
cana-1086	38	13	addressed	address	VERB
cana-1086	38	14	.	.	PUNCT
cana-1086	39	1	here	here	ADV
cana-1086	39	2	is	be	AUX
cana-1086	39	3	a	a	DET
cana-1086	39	4	breakdown	breakdown	NOUN
cana-1086	39	5	of	of	ADP
cana-1086	39	6	some	some	DET
cana-1086	39	7	common	common	ADJ
cana-1086	39	8	methodologies	methodology	NOUN
cana-1086	39	9	used	use	VERB
cana-1086	39	10	to	to	PART
cana-1086	39	11	address	address	VERB
cana-1086	39	12	fairness	fairness	NOUN
cana-1086	39	13	in	in	ADP
cana-1086	39	14	recommender	recommender	NOUN
cana-1086	39	15	systems	system	NOUN
cana-1086	39	16	:	:	PUNCT
cana-1086	40	1	1	1	X
cana-1086	40	2	.	.	X
cana-1086	40	3	individual	individual	ADJ
cana-1086	40	4	fairness	fairness	NOUN
cana-1086	40	5	:	:	PUNCT
cana-1086	40	6	this	this	DET
cana-1086	40	7	principle	principle	NOUN
cana-1086	40	8	focuses	focus	VERB
cana-1086	40	9	on	on	ADP
cana-1086	40	10	ensuring	ensure	VERB
cana-1086	40	11	similar	similar	ADJ
cana-1086	40	12	treatment	treatment	NOUN
cana-1086	40	13	for	for	ADP
cana-1086	40	14	individuals	individual	NOUN
cana-1086	40	15	with	with	ADP
cana-1086	40	16	similar	similar	ADJ
cana-1086	40	17	characteristics	characteristic	NOUN
cana-1086	40	18	.	.	PUNCT
cana-1086	41	1	in	in	ADP
cana-1086	41	2	recommender	recommender	NOUN
cana-1086	41	3	systems	system	NOUN
cana-1086	41	4	,	,	PUNCT
cana-1086	41	5	for	for	ADP
cana-1086	41	6	example	example	NOUN
cana-1086	41	7	,	,	PUNCT
cana-1086	41	8	individual	individual	ADJ
cana-1086	41	9	fairness	fairness	NOUN
cana-1086	41	10	would	would	AUX
cana-1086	41	11	mean	mean	VERB
cana-1086	41	12	that	that	SCONJ
cana-1086	41	13	communications	communication	NOUN
cana-1086	41	14	on	on	ADP
cana-1086	41	15	applied	apply	VERB
cana-1086	41	16	nonlinear	nonlinear	ADJ
cana-1086	41	17	analysis	analysis	NOUN
cana-1086	41	18	issn	issn	NOUN
cana-1086	41	19	:	:	PUNCT
cana-1086	41	20	1074	1074	NUM
cana-1086	41	21	-	-	PUNCT
cana-1086	41	22	133x	133x	NUM
cana-1086	41	23	vol	vol	NOUN
cana-1086	41	24	31	31	NUM
cana-1086	41	25	no	no	NOUN
cana-1086	41	26	.	.	PUNCT
cana-1086	42	1	5s	5s	NUM
cana-1086	42	2	(	(	PUNCT
cana-1086	42	3	2024	2024	NUM
cana-1086	42	4	)	)	PUNCT
cana-1086	42	5	509	509	NUM
cana-1086	42	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1086	42	7	users	user	NOUN
cana-1086	42	8	with	with	ADP
cana-1086	42	9	similar	similar	ADJ
cana-1086	42	10	past	past	ADJ
cana-1086	42	11	interactions	interaction	NOUN
cana-1086	42	12	or	or	CCONJ
cana-1086	42	13	preferences	preference	NOUN
cana-1086	42	14	receive	receive	VERB
cana-1086	42	15	similar	similar	ADJ
cana-1086	42	16	recommendations	recommendation	NOUN
cana-1086	42	17	,	,	PUNCT
cana-1086	42	18	regardless	regardless	ADV
cana-1086	42	19	of	of	ADP
cana-1086	42	20	irrelevant	irrelevant	ADJ
cana-1086	42	21	factors	factor	NOUN
cana-1086	42	22	like	like	ADP
cana-1086	42	23	race	race	NOUN
cana-1086	42	24	,	,	PUNCT
cana-1086	42	25	gender	gender	NOUN
cana-1086	42	26	,	,	PUNCT
cana-1086	42	27	or	or	CCONJ
cana-1086	42	28	age	age	NOUN
cana-1086	42	29	[	[	X
cana-1086	42	30	7	7	NUM
cana-1086	42	31	]	]	PUNCT
cana-1086	42	32	.	.	PUNCT
cana-1086	43	1	•	•	NUM
cana-1086	43	2	methodologies	methodology	NOUN
cana-1086	43	3	:	:	PUNCT
cana-1086	43	4	–	–	PUNCT
cana-1086	43	5	counterfactual	counterfactual	ADJ
cana-1086	43	6	fairness	fairness	NOUN
cana-1086	43	7	:	:	PUNCT
cana-1086	43	8	this	this	DET
cana-1086	43	9	approach	approach	NOUN
cana-1086	43	10	compares	compare	VERB
cana-1086	43	11	the	the	DET
cana-1086	43	12	predicted	predict	VERB
cana-1086	43	13	outcome	outcome	NOUN
cana-1086	43	14	for	for	ADP
cana-1086	43	15	an	an	DET
cana-1086	43	16	individual	individual	NOUN
cana-1086	43	17	with	with	ADP
cana-1086	43	18	a	a	DET
cana-1086	43	19	hypothetical	hypothetical	ADJ
cana-1086	43	20	scenario	scenario	NOUN
cana-1086	43	21	where	where	SCONJ
cana-1086	43	22	their	their	PRON
cana-1086	43	23	sensitive	sensitive	ADJ
cana-1086	43	24	attribute	attribute	NOUN
cana-1086	43	25	(	(	PUNCT
cana-1086	43	26	e.g.	e.g.	ADV
cana-1086	43	27	,	,	PUNCT
cana-1086	43	28	race	race	NOUN
cana-1086	43	29	)	)	PUNCT
cana-1086	43	30	is	be	AUX
cana-1086	43	31	changed	change	VERB
cana-1086	43	32	.	.	PUNCT
cana-1086	44	1	the	the	DET
cana-1086	44	2	model	model	NOUN
cana-1086	44	3	is	be	AUX
cana-1086	44	4	considered	consider	VERB
cana-1086	44	5	fair	fair	ADJ
cana-1086	44	6	if	if	SCONJ
cana-1086	44	7	the	the	DET
cana-1086	44	8	predictions	prediction	NOUN
cana-1086	44	9	remain	remain	VERB
cana-1086	44	10	similar	similar	ADJ
cana-1086	44	11	across	across	ADP
cana-1086	44	12	these	these	DET
cana-1086	44	13	scenarios	scenario	NOUN
cana-1086	44	14	[	[	X
cana-1086	44	15	5	5	NUM
cana-1086	44	16	]	]	PUNCT
cana-1086	44	17	.	.	PUNCT
cana-1086	45	1	–	–	PUNCT
cana-1086	45	2	fairness	fairness	NOUN
cana-1086	45	3	-	-	PUNCT
cana-1086	45	4	aware	aware	ADJ
cana-1086	45	5	metrics	metric	NOUN
cana-1086	45	6	:	:	PUNCT
cana-1086	45	7	beyond	beyond	ADP
cana-1086	45	8	accuracy	accuracy	NOUN
cana-1086	45	9	,	,	PUNCT
cana-1086	45	10	metrics	metric	NOUN
cana-1086	45	11	like	like	VERB
cana-1086	45	12	fairness	fairness	NOUN
cana-1086	45	13	aware	aware	ADJ
cana-1086	45	14	ranking	ranking	ADJ
cana-1086	45	15	(	(	PUNCT
cana-1086	45	16	fair	fair	ADJ
cana-1086	45	17	rank	rank	NOUN
cana-1086	45	18	)	)	PUNCT
cana-1086	45	19	can	can	AUX
cana-1086	45	20	be	be	AUX
cana-1086	45	21	used	use	VERB
cana-1086	45	22	to	to	PART
cana-1086	45	23	evaluate	evaluate	VERB
cana-1086	45	24	how	how	SCONJ
cana-1086	45	25	similar	similar	ADJ
cana-1086	45	26	individuals	individual	NOUN
cana-1086	45	27	with	with	ADP
cana-1086	45	28	similar	similar	ADJ
cana-1086	45	29	features	feature	NOUN
cana-1086	45	30	are	be	AUX
cana-1086	45	31	treated	treat	VERB
cana-1086	45	32	by	by	ADP
cana-1086	45	33	the	the	DET
cana-1086	45	34	model[7	model[7	PROPN
cana-1086	45	35	]	]	X
cana-1086	45	36	.	.	PUNCT
cana-1086	46	1	2	2	X
cana-1086	46	2	.	.	X
cana-1086	46	3	group	group	NOUN
cana-1086	46	4	fairness	fairness	NOUN
cana-1086	46	5	:	:	PUNCT
cana-1086	46	6	this	this	DET
cana-1086	46	7	concept	concept	NOUN
cana-1086	46	8	emphasizes	emphasize	VERB
cana-1086	46	9	avoiding	avoid	VERB
cana-1086	46	10	discrimination	discrimination	NOUN
cana-1086	46	11	against	against	ADP
cana-1086	46	12	specific	specific	ADJ
cana-1086	46	13	demographic	demographic	ADJ
cana-1086	46	14	groups	group	NOUN
cana-1086	46	15	.	.	PUNCT
cana-1086	47	1	when	when	SCONJ
cana-1086	47	2	applied	apply	VERB
cana-1086	47	3	to	to	ADP
cana-1086	47	4	recommender	recommender	NOUN
cana-1086	47	5	systems	system	NOUN
cana-1086	47	6	,	,	PUNCT
cana-1086	47	7	group	group	NOUN
cana-1086	47	8	fairness	fairness	NOUN
cana-1086	47	9	would	would	AUX
cana-1086	47	10	ensure	ensure	VERB
cana-1086	47	11	that	that	SCONJ
cana-1086	47	12	different	different	ADJ
cana-1086	47	13	demographic	demographic	ADJ
cana-1086	47	14	groups	group	NOUN
cana-1086	47	15	(	(	PUNCT
cana-1086	47	16	e.g.	e.g.	ADV
cana-1086	47	17	,	,	PUNCT
cana-1086	47	18	young	young	ADJ
cana-1086	47	19	vs.	vs.	ADP
cana-1086	47	20	older	old	ADJ
cana-1086	47	21	users	user	NOUN
cana-1086	47	22	)	)	PUNCT
cana-1086	47	23	have	have	VERB
cana-1086	47	24	equal	equal	ADJ
cana-1086	47	25	access	access	NOUN
cana-1086	47	26	to	to	ADP
cana-1086	47	27	a	a	DET
cana-1086	47	28	diverse	diverse	ADJ
cana-1086	47	29	range	range	NOUN
cana-1086	47	30	of	of	ADP
cana-1086	47	31	recommendations	recommendation	NOUN
cana-1086	47	32	and	and	CCONJ
cana-1086	47	33	are	be	AUX
cana-1086	47	34	not	not	PART
cana-1086	47	35	limited	limit	VERB
cana-1086	47	36	by	by	ADP
cana-1086	47	37	the	the	DET
cana-1086	47	38	algorithm	algorithm	NOUN
cana-1086	47	39	’s	’s	PART
cana-1086	47	40	biases	bias	NOUN
cana-1086	47	41	[	[	X
cana-1086	47	42	8	8	NUM
cana-1086	47	43	]	]	PUNCT
cana-1086	47	44	.	.	PUNCT
cana-1086	48	1	•	•	NUM
cana-1086	48	2	methodologies	methodology	NOUN
cana-1086	48	3	:	:	PUNCT
cana-1086	48	4	–	–	PUNCT
cana-1086	48	5	disparate	disparate	ADJ
cana-1086	48	6	impact	impact	NOUN
cana-1086	48	7	analysis	analysis	NOUN
cana-1086	48	8	:	:	PUNCT
cana-1086	48	9	this	this	DET
cana-1086	48	10	method	method	NOUN
cana-1086	48	11	evaluates	evaluate	VERB
cana-1086	48	12	whether	whether	SCONJ
cana-1086	48	13	the	the	DET
cana-1086	48	14	model	model	NOUN
cana-1086	48	15	’s	’s	PART
cana-1086	48	16	predictions	prediction	NOUN
cana-1086	48	17	have	have	VERB
cana-1086	48	18	a	a	DET
cana-1086	48	19	disproportionately	disproportionately	ADV
cana-1086	48	20	negative	negative	ADJ
cana-1086	48	21	impact	impact	NOUN
cana-1086	48	22	on	on	ADP
cana-1086	48	23	certain	certain	ADJ
cana-1086	48	24	demographic	demographic	ADJ
cana-1086	48	25	groups	group	NOUN
cana-1086	48	26	.	.	PUNCT
cana-1086	49	1	for	for	ADP
cana-1086	49	2	recommender	recommender	NOUN
cana-1086	49	3	systems	system	NOUN
cana-1086	49	4	,	,	PUNCT
cana-1086	49	5	this	this	PRON
cana-1086	49	6	could	could	AUX
cana-1086	49	7	involve	involve	VERB
cana-1086	49	8	analysing	analyse	VERB
cana-1086	49	9	whether	whether	SCONJ
cana-1086	49	10	specific	specific	ADJ
cana-1086	49	11	groups	group	NOUN
cana-1086	49	12	consistently	consistently	ADV
cana-1086	49	13	receive	receive	VERB
cana-1086	49	14	lower	lower	ADV
cana-1086	49	15	-	-	PUNCT
cana-1086	49	16	rated	rate	VERB
cana-1086	49	17	recommendations	recommendation	NOUN
cana-1086	49	18	[	[	X
cana-1086	49	19	8	8	NUM
cana-1086	49	20	]	]	PUNCT
cana-1086	49	21	.	.	PUNCT
cana-1086	50	1	–	–	PUNCT
cana-1086	50	2	equality	equality	NOUN
cana-1086	50	3	of	of	ADP
cana-1086	50	4	opportunity	opportunity	NOUN
cana-1086	50	5	/	/	SYM
cana-1086	50	6	outcomes	outcome	NOUN
cana-1086	50	7	:	:	PUNCT
cana-1086	50	8	these	these	DET
cana-1086	50	9	principles	principle	NOUN
cana-1086	50	10	aim	aim	VERB
cana-1086	50	11	to	to	PART
cana-1086	50	12	ensure	ensure	VERB
cana-1086	50	13	that	that	SCONJ
cana-1086	50	14	different	different	ADJ
cana-1086	50	15	groups	group	NOUN
cana-1086	50	16	have	have	VERB
cana-1086	50	17	similar	similar	ADJ
cana-1086	50	18	opportunities	opportunity	NOUN
cana-1086	50	19	to	to	PART
cana-1086	50	20	achieve	achieve	VERB
cana-1086	50	21	positive	positive	ADJ
cana-1086	50	22	outcomes	outcome	NOUN
cana-1086	50	23	based	base	VERB
cana-1086	50	24	on	on	ADP
cana-1086	50	25	the	the	DET
cana-1086	50	26	model	model	NOUN
cana-1086	50	27	’s	’s	PART
cana-1086	50	28	recommendations	recommendation	NOUN
cana-1086	50	29	[	[	X
cana-1086	50	30	9	9	NUM
cana-1086	50	31	]	]	PUNCT
cana-1086	50	32	.	.	PUNCT
cana-1086	51	1	3	3	X
cana-1086	51	2	.	.	X
cana-1086	51	3	algorithmic	algorithmic	ADJ
cana-1086	51	4	fairness	fairness	NOUN
cana-1086	51	5	:	:	PUNCT
cana-1086	51	6	this	this	DET
cana-1086	51	7	type	type	NOUN
cana-1086	51	8	of	of	ADP
cana-1086	51	9	fairness	fairness	NOUN
cana-1086	51	10	focuses	focus	VERB
cana-1086	51	11	on	on	ADP
cana-1086	51	12	the	the	DET
cana-1086	51	13	design	design	NOUN
cana-1086	51	14	and	and	CCONJ
cana-1086	51	15	training	training	NOUN
cana-1086	51	16	process	process	NOUN
cana-1086	51	17	of	of	ADP
cana-1086	51	18	the	the	DET
cana-1086	51	19	ml	ml	PROPN
cana-1086	51	20	model	model	NOUN
cana-1086	51	21	itself	itself	PRON
cana-1086	51	22	[	[	X
cana-1086	51	23	10	10	NUM
cana-1086	51	24	]	]	PUNCT
cana-1086	51	25	.	.	PUNCT
cana-1086	52	1	algorithmic	algorithmic	ADJ
cana-1086	52	2	fairness	fairness	NOUN
cana-1086	52	3	aims	aim	VERB
cana-1086	52	4	to	to	PART
cana-1086	52	5	identify	identify	VERB
cana-1086	52	6	and	and	CCONJ
cana-1086	52	7	mitigate	mitigate	VERB
cana-1086	52	8	biases	bias	NOUN
cana-1086	52	9	within	within	ADP
cana-1086	52	10	the	the	DET
cana-1086	52	11	algorithm	algorithm	NOUN
cana-1086	52	12	’s	’s	PART
cana-1086	52	13	design	design	NOUN
cana-1086	52	14	choices	choice	NOUN
cana-1086	52	15	or	or	CCONJ
cana-1086	52	16	the	the	DET
cana-1086	52	17	data	datum	NOUN
cana-1086	52	18	used	use	VERB
cana-1086	52	19	to	to	PART
cana-1086	52	20	train	train	VERB
cana-1086	52	21	it	it	PRON
cana-1086	52	22	.	.	PUNCT
cana-1086	53	1	for	for	ADP
cana-1086	53	2	recommender	recommender	NOUN
cana-1086	53	3	systems	system	NOUN
cana-1086	53	4	,	,	PUNCT
cana-1086	53	5	this	this	PRON
cana-1086	53	6	might	might	AUX
cana-1086	53	7	involve	involve	VERB
cana-1086	53	8	examining	examine	VERB
cana-1086	53	9	potential	potential	ADJ
cana-1086	53	10	biases	bias	NOUN
cana-1086	53	11	in	in	ADP
cana-1086	53	12	the	the	DET
cana-1086	53	13	training	training	NOUN
cana-1086	53	14	data	datum	NOUN
cana-1086	53	15	used	use	VERB
cana-1086	53	16	(	(	PUNCT
cana-1086	53	17	e.g.	e.g.	ADV
cana-1086	53	18	,	,	PUNCT
cana-1086	53	19	historical	historical	ADJ
cana-1086	53	20	user	user	NOUN
cana-1086	53	21	data	datum	NOUN
cana-1086	53	22	reflecting	reflect	VERB
cana-1086	53	23	existing	exist	VERB
cana-1086	53	24	societal	societal	ADJ
cana-1086	53	25	biases	bias	NOUN
cana-1086	53	26	)	)	PUNCT
cana-1086	53	27	or	or	CCONJ
cana-1086	53	28	scrutinizing	scrutinize	VERB
cana-1086	53	29	the	the	DET
cana-1086	53	30	algorithm	algorithm	NOUN
cana-1086	53	31	’s	’s	PART
cana-1086	53	32	design	design	NOUN
cana-1086	53	33	to	to	PART
cana-1086	53	34	ensure	ensure	VERB
cana-1086	53	35	it	it	PRON
cana-1086	53	36	does	do	AUX
cana-1086	53	37	not	not	PART
cana-1086	53	38	inherently	inherently	ADV
cana-1086	53	39	favour	favour	VERB
cana-1086	53	40	certain	certain	ADJ
cana-1086	53	41	types	type	NOUN
cana-1086	53	42	of	of	ADP
cana-1086	53	43	items	item	NOUN
cana-1086	53	44	[	[	X
cana-1086	53	45	11	11	NUM
cana-1086	53	46	]	]	PUNCT
cana-1086	53	47	.	.	PUNCT
cana-1086	54	1	•	•	NUM
cana-1086	54	2	methodologies	methodology	NOUN
cana-1086	54	3	:	:	PUNCT
cana-1086	54	4	–	–	PUNCT
cana-1086	54	5	debiasing	debiase	VERB
cana-1086	54	6	techniques	technique	NOUN
cana-1086	54	7	:	:	PUNCT
cana-1086	54	8	these	these	DET
cana-1086	54	9	techniques	technique	NOUN
cana-1086	54	10	aim	aim	VERB
cana-1086	54	11	to	to	PART
cana-1086	54	12	remove	remove	VERB
cana-1086	54	13	or	or	CCONJ
cana-1086	54	14	mitigate	mitigate	VERB
cana-1086	54	15	biases	bias	NOUN
cana-1086	54	16	within	within	ADP
cana-1086	54	17	the	the	DET
cana-1086	54	18	training	training	NOUN
cana-1086	54	19	data	datum	NOUN
cana-1086	54	20	itself	itself	PRON
cana-1086	54	21	.	.	PUNCT
cana-1086	55	1	this	this	PRON
cana-1086	55	2	could	could	AUX
cana-1086	55	3	involve	involve	VERB
cana-1086	55	4	data	data	NOUN
cana-1086	55	5	augmentation	augmentation	NOUN
cana-1086	55	6	(	(	PUNCT
cana-1086	55	7	adding	add	VERB
cana-1086	55	8	data	datum	NOUN
cana-1086	55	9	to	to	PART
cana-1086	55	10	represent	represent	VERB
cana-1086	55	11	underrepresented	underrepresented	ADJ
cana-1086	55	12	groups	group	NOUN
cana-1086	55	13	)	)	PUNCT
cana-1086	55	14	or	or	CCONJ
cana-1086	55	15	data	datum	NOUN
cana-1086	55	16	balancing	balance	VERB
cana-1086	55	17	(	(	PUNCT
cana-1086	55	18	adjusting	adjust	VERB
cana-1086	55	19	the	the	DET
cana-1086	55	20	weights	weight	NOUN
cana-1086	55	21	of	of	ADP
cana-1086	55	22	data	datum	NOUN
cana-1086	55	23	points	point	NOUN
cana-1086	55	24	to	to	PART
cana-1086	55	25	ensure	ensure	VERB
cana-1086	55	26	equal	equal	ADJ
cana-1086	55	27	representation	representation	NOUN
cana-1086	55	28	)	)	PUNCT
cana-1086	56	1	[	[	X
cana-1086	56	2	10	10	NUM
cana-1086	56	3	]	]	PUNCT
cana-1086	56	4	.	.	PUNCT
cana-1086	57	1	–	–	PUNCT
cana-1086	57	2	fairness	fairness	NOUN
cana-1086	57	3	-	-	PUNCT
cana-1086	57	4	aware	aware	ADJ
cana-1086	57	5	model	model	NOUN
cana-1086	57	6	architectures	architecture	NOUN
cana-1086	57	7	:	:	PUNCT
cana-1086	57	8	to	to	PART
cana-1086	57	9	reduce	reduce	VERB
cana-1086	57	10	bias	bias	NOUN
cana-1086	57	11	,	,	PUNCT
cana-1086	57	12	algorithms	algorithm	NOUN
cana-1086	57	13	should	should	AUX
cana-1086	57	14	be	be	AUX
cana-1086	57	15	designed	design	VERB
cana-1086	57	16	with	with	ADP
cana-1086	57	17	fairness	fairness	NOUN
cana-1086	57	18	requirements	requirement	NOUN
cana-1086	57	19	integrated	integrate	VERB
cana-1086	57	20	into	into	ADP
cana-1086	57	21	the	the	DET
cana-1086	57	22	learning	learning	NOUN
cana-1086	57	23	process	process	NOUN
cana-1086	57	24	.	.	PUNCT
cana-1086	58	1	research	research	NOUN
cana-1086	58	2	in	in	ADP
cana-1086	58	3	this	this	DET
cana-1086	58	4	field	field	NOUN
cana-1086	58	5	is	be	AUX
cana-1086	58	6	ongoing	ongoing	ADJ
cana-1086	58	7	,	,	PUNCT
cana-1086	58	8	and	and	CCONJ
cana-1086	58	9	several	several	ADJ
cana-1086	58	10	strategies	strategy	NOUN
cana-1086	58	11	are	be	AUX
cana-1086	58	12	being	be	AUX
cana-1086	58	13	investigated	investigate	VERB
cana-1086	58	14	[	[	X
cana-1086	58	15	10	10	NUM
cana-1086	58	16	]	]	PUNCT
cana-1086	58	17	.	.	PUNCT
cana-1086	59	1	when	when	SCONJ
cana-1086	59	2	assessing	assess	VERB
cana-1086	59	3	and	and	CCONJ
cana-1086	59	4	reducing	reduce	VERB
cana-1086	59	5	bias	bias	NOUN
cana-1086	59	6	in	in	ADP
cana-1086	59	7	recommender	recommender	NOUN
cana-1086	59	8	systems	system	NOUN
cana-1086	59	9	,	,	PUNCT
cana-1086	59	10	it	it	PRON
cana-1086	59	11	is	be	AUX
cana-1086	59	12	essential	essential	ADJ
cana-1086	59	13	to	to	PART
cana-1086	59	14	comprehend	comprehend	VERB
cana-1086	59	15	these	these	DET
cana-1086	59	16	various	various	ADJ
cana-1086	59	17	fairness	fairness	NOUN
cana-1086	59	18	concerns	concern	NOUN
cana-1086	59	19	and	and	CCONJ
cana-1086	59	20	the	the	DET
cana-1086	59	21	approaches	approach	NOUN
cana-1086	59	22	taken	take	VERB
cana-1086	59	23	to	to	PART
cana-1086	59	24	address	address	VERB
cana-1086	59	25	them	they	PRON
cana-1086	59	26	.	.	PUNCT
cana-1086	60	1	we	we	PRON
cana-1086	60	2	may	may	AUX
cana-1086	60	3	work	work	VERB
cana-1086	60	4	towards	towards	ADP
cana-1086	60	5	more	more	ADV
cana-1086	60	6	responsible	responsible	ADJ
cana-1086	60	7	and	and	CCONJ
cana-1086	60	8	equitable	equitable	ADJ
cana-1086	60	9	ai	ai	VERB
cana-1086	60	10	applications	application	NOUN
cana-1086	60	11	by	by	ADP
cana-1086	60	12	guaranteeing	guarantee	VERB
cana-1086	60	13	fairness	fairness	NOUN
cana-1086	60	14	at	at	ADP
cana-1086	60	15	the	the	DET
cana-1086	60	16	individual	individual	ADJ
cana-1086	60	17	,	,	PUNCT
cana-1086	60	18	group	group	NOUN
cana-1086	60	19	,	,	PUNCT
cana-1086	60	20	and	and	CCONJ
cana-1086	60	21	algorithmic	algorithmic	ADJ
cana-1086	60	22	levels	level	NOUN
cana-1086	60	23	[	[	X
cana-1086	60	24	12	12	NUM
cana-1086	60	25	]	]	PUNCT
cana-1086	60	26	.	.	PUNCT
cana-1086	61	1	3	3	X
cana-1086	61	2	.	.	X
cana-1086	61	3	sources	source	NOUN
cana-1086	61	4	of	of	ADP
cana-1086	61	5	bias	bias	NOUN
cana-1086	61	6	in	in	ADP
cana-1086	61	7	recommender	recommender	NOUN
cana-1086	61	8	systems	system	NOUN
cana-1086	61	9	recommender	recommender	NOUN
cana-1086	61	10	systems	system	NOUN
cana-1086	61	11	undoubtedly	undoubtedly	ADV
cana-1086	61	12	help	help	VERB
cana-1086	61	13	to	to	PART
cana-1086	61	14	personalise	personalise	VERB
cana-1086	61	15	user	user	NOUN
cana-1086	61	16	experiences	experience	NOUN
cana-1086	61	17	,	,	PUNCT
cana-1086	61	18	but	but	CCONJ
cana-1086	61	19	they	they	PRON
cana-1086	61	20	can	can	AUX
cana-1086	61	21	also	also	ADV
cana-1086	61	22	reinforce	reinforce	VERB
cana-1086	61	23	prejudices	prejudice	NOUN
cana-1086	61	24	in	in	ADP
cana-1086	61	25	several	several	ADJ
cana-1086	61	26	ways	way	NOUN
cana-1086	61	27	.	.	PUNCT
cana-1086	62	1	to	to	PART
cana-1086	62	2	create	create	VERB
cana-1086	62	3	algorithms	algorithm	NOUN
cana-1086	62	4	that	that	PRON
cana-1086	62	5	are	be	AUX
cana-1086	62	6	fairer	fair	ADJ
cana-1086	62	7	and	and	CCONJ
cana-1086	62	8	more	more	ADV
cana-1086	62	9	egalitarian	egalitarian	ADJ
cana-1086	62	10	,	,	PUNCT
cana-1086	62	11	it	it	PRON
cana-1086	62	12	is	be	AUX
cana-1086	62	13	essential	essential	ADJ
cana-1086	62	14	to	to	PART
cana-1086	62	15	comprehend	comprehend	VERB
cana-1086	62	16	these	these	DET
cana-1086	62	17	causes	cause	NOUN
cana-1086	62	18	of	of	ADP
cana-1086	62	19	bias	bias	NOUN
cana-1086	62	20	.	.	PUNCT
cana-1086	63	1	we	we	PRON
cana-1086	63	2	examine	examine	VERB
cana-1086	63	3	the	the	DET
cana-1086	63	4	main	main	ADJ
cana-1086	63	5	offenders	offender	NOUN
cana-1086	63	6	that	that	PRON
cana-1086	63	7	can	can	AUX
cana-1086	63	8	compromise	compromise	VERB
cana-1086	63	9	recommender	recommender	NOUN
cana-1086	63	10	systems	system	NOUN
cana-1086	63	11	here	here	ADV
cana-1086	63	12	:	:	PUNCT
cana-1086	63	13	communications	communication	NOUN
cana-1086	63	14	on	on	ADP
cana-1086	63	15	applied	apply	VERB
cana-1086	63	16	nonlinear	nonlinear	ADJ
cana-1086	63	17	analysis	analysis	NOUN
cana-1086	63	18	issn	issn	NOUN
cana-1086	63	19	:	:	PUNCT
cana-1086	63	20	1074	1074	NUM
cana-1086	63	21	-	-	PUNCT
cana-1086	63	22	133x	133x	NUM
cana-1086	63	23	vol	vol	NOUN
cana-1086	63	24	31	31	NUM
cana-1086	63	25	no	no	NOUN
cana-1086	63	26	.	.	PUNCT
cana-1086	64	1	5s	5s	NUM
cana-1086	64	2	(	(	PUNCT
cana-1086	64	3	2024	2024	NUM
cana-1086	64	4	)	)	PUNCT
cana-1086	64	5	510	510	NUM
cana-1086	64	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1086	64	7	1	1	NUM
cana-1086	64	8	.	.	PUNCT
cana-1086	64	9	data	datum	NOUN
cana-1086	64	10	bias	bias	PROPN
cana-1086	64	11	:	:	PUNCT
cana-1086	64	12	the	the	DET
cana-1086	64	13	term	term	NOUN
cana-1086	64	14	“	"	PUNCT
cana-1086	64	15	data	data	NOUN
cana-1086	64	16	bias	bias	NOUN
cana-1086	64	17	”	"	PUNCT
cana-1086	64	18	describes	describe	VERB
cana-1086	64	19	the	the	DET
cana-1086	64	20	existence	existence	NOUN
cana-1086	64	21	of	of	ADP
cana-1086	64	22	bias	bias	NOUN
cana-1086	64	23	or	or	CCONJ
cana-1086	64	24	uneven	uneven	ADJ
cana-1086	64	25	representation	representation	NOUN
cana-1086	64	26	in	in	ADP
cana-1086	64	27	the	the	DET
cana-1086	64	28	training	training	NOUN
cana-1086	64	29	set	set	NOUN
cana-1086	64	30	of	of	ADP
cana-1086	64	31	data	datum	NOUN
cana-1086	64	32	that	that	PRON
cana-1086	64	33	was	be	AUX
cana-1086	64	34	used	use	VERB
cana-1086	64	35	to	to	PART
cana-1086	64	36	create	create	VERB
cana-1086	64	37	the	the	DET
cana-1086	64	38	recommender	recommender	NOUN
cana-1086	64	39	system	system	NOUN
cana-1086	64	40	.	.	PUNCT
cana-1086	65	1	a	a	DET
cana-1086	65	2	feedback	feedback	NOUN
cana-1086	65	3	loop	loop	NOUN
cana-1086	65	4	that	that	PRON
cana-1086	65	5	intensifies	intensify	VERB
cana-1086	65	6	already	already	ADV
cana-1086	65	7	existing	exist	VERB
cana-1086	65	8	societal	societal	ADJ
cana-1086	65	9	inequities	inequity	NOUN
cana-1086	65	10	can	can	AUX
cana-1086	65	11	be	be	AUX
cana-1086	65	12	caused	cause	VERB
cana-1086	65	13	by	by	ADP
cana-1086	65	14	several	several	ADJ
cana-1086	65	15	variables	variable	NOUN
cana-1086	65	16	,	,	PUNCT
cana-1086	65	17	including	include	VERB
cana-1086	65	18	bias	bias	NOUN
cana-1086	65	19	:	:	PUNCT
cana-1086	65	20	•	•	NUM
cana-1086	65	21	historical	historical	ADJ
cana-1086	65	22	biases	bias	NOUN
cana-1086	65	23	:	:	PUNCT
cana-1086	65	24	historical	historical	ADJ
cana-1086	65	25	user	user	NOUN
cana-1086	65	26	data	datum	NOUN
cana-1086	65	27	frequently	frequently	ADV
cana-1086	65	28	reflects	reflect	VERB
cana-1086	65	29	biases	bias	NOUN
cana-1086	65	30	from	from	ADP
cana-1086	65	31	the	the	DET
cana-1086	65	32	real	real	ADJ
cana-1086	65	33	world	world	NOUN
cana-1086	65	34	.	.	PUNCT
cana-1086	66	1	in	in	ADP
cana-1086	66	2	an	an	DET
cana-1086	66	3	investigation	investigation	NOUN
cana-1086	66	4	of	of	ADP
cana-1086	66	5	gender	gender	NOUN
cana-1086	66	6	bias	bias	NOUN
cana-1086	66	7	in	in	ADP
cana-1086	66	8	movie	movie	NOUN
cana-1086	66	9	recommendations	recommendation	NOUN
cana-1086	66	10	,	,	PUNCT
cana-1086	66	11	for	for	ADP
cana-1086	66	12	example	example	NOUN
cana-1086	66	13	,	,	PUNCT
cana-1086	66	14	[	[	X
cana-1086	66	15	13	13	NUM
cana-1086	66	16	]	]	PUNCT
cana-1086	66	17	discovered	discover	VERB
cana-1086	66	18	that	that	SCONJ
cana-1086	66	19	recommender	recommender	NOUN
cana-1086	66	20	systems	system	NOUN
cana-1086	66	21	trained	train	VERB
cana-1086	66	22	on	on	ADP
cana-1086	66	23	historical	historical	ADJ
cana-1086	66	24	data	datum	NOUN
cana-1086	66	25	tended	tend	VERB
cana-1086	66	26	to	to	PART
cana-1086	66	27	favour	favour	VERB
cana-1086	66	28	films	film	NOUN
cana-1086	66	29	directed	direct	VERB
cana-1086	66	30	by	by	ADP
cana-1086	66	31	men	man	NOUN
cana-1086	66	32	,	,	PUNCT
cana-1086	66	33	even	even	ADV
cana-1086	66	34	for	for	ADP
cana-1086	66	35	users	user	NOUN
cana-1086	66	36	who	who	PRON
cana-1086	66	37	did	do	AUX
cana-1086	66	38	not	not	PART
cana-1086	66	39	express	express	VERB
cana-1086	66	40	a	a	DET
cana-1086	66	41	preference	preference	NOUN
cana-1086	66	42	for	for	ADP
cana-1086	66	43	such	such	ADJ
cana-1086	66	44	films	film	NOUN
cana-1086	66	45	.	.	PUNCT
cana-1086	67	1	this	this	PRON
cana-1086	67	2	restricts	restrict	VERB
cana-1086	67	3	users	user	NOUN
cana-1086	67	4	’	'	PUNCT
cana-1086	67	5	access	access	NOUN
cana-1086	67	6	to	to	ADP
cana-1086	67	7	a	a	DET
cana-1086	67	8	variety	variety	NOUN
cana-1086	67	9	of	of	ADP
cana-1086	67	10	content	content	NOUN
cana-1086	67	11	and	and	CCONJ
cana-1086	67	12	perpetuates	perpetuate	NOUN
cana-1086	67	13	preexisting	preexist	VERB
cana-1086	67	14	gender	gender	NOUN
cana-1086	67	15	prejudices	prejudice	NOUN
cana-1086	67	16	.	.	PUNCT
cana-1086	68	1	•	•	NUM
cana-1086	68	2	limited	limited	ADJ
cana-1086	68	3	data	datum	NOUN
cana-1086	68	4	:	:	PUNCT
cana-1086	68	5	bias	bias	NOUN
cana-1086	68	6	amplification	amplification	NOUN
cana-1086	68	7	is	be	AUX
cana-1086	68	8	more	more	ADV
cana-1086	68	9	common	common	ADJ
cana-1086	68	10	in	in	ADP
cana-1086	68	11	recommender	recommender	NOUN
cana-1086	68	12	systems	system	NOUN
cana-1086	68	13	with	with	ADP
cana-1086	68	14	sparse	sparse	ADJ
cana-1086	68	15	data	datum	NOUN
cana-1086	68	16	.	.	PUNCT
cana-1086	69	1	it	it	PRON
cana-1086	69	2	is	be	AUX
cana-1086	69	3	important	important	ADJ
cana-1086	69	4	to	to	PART
cana-1086	69	5	note	note	VERB
cana-1086	69	6	that	that	SCONJ
cana-1086	69	7	recommendations	recommendation	NOUN
cana-1086	69	8	may	may	AUX
cana-1086	69	9	not	not	PART
cana-1086	69	10	generalise	generalise	VERB
cana-1086	69	11	adequately	adequately	ADV
cana-1086	69	12	to	to	ADP
cana-1086	69	13	users	user	NOUN
cana-1086	69	14	from	from	ADP
cana-1086	69	15	varied	varied	ADJ
cana-1086	69	16	backgrounds	background	NOUN
cana-1086	69	17	when	when	SCONJ
cana-1086	69	18	training	training	NOUN
cana-1086	69	19	data	datum	NOUN
cana-1086	69	20	predominantly	predominantly	ADV
cana-1086	69	21	represents	represent	VERB
cana-1086	69	22	a	a	DET
cana-1086	69	23	certain	certain	ADJ
cana-1086	69	24	demographic	demographic	ADJ
cana-1086	69	25	group	group	NOUN
cana-1086	69	26	[	[	X
cana-1086	69	27	7	7	NUM
cana-1086	69	28	]	]	PUNCT
cana-1086	69	29	.	.	PUNCT
cana-1086	70	1	when	when	SCONJ
cana-1086	70	2	users	user	NOUN
cana-1086	70	3	from	from	ADP
cana-1086	70	4	underrepresented	underrepresented	ADJ
cana-1086	70	5	groups	group	NOUN
cana-1086	70	6	are	be	AUX
cana-1086	70	7	excluded	exclude	VERB
cana-1086	70	8	from	from	ADP
cana-1086	70	9	relevant	relevant	ADJ
cana-1086	70	10	recommendations	recommendation	NOUN
cana-1086	70	11	,	,	PUNCT
cana-1086	70	12	it	it	PRON
cana-1086	70	13	can	can	AUX
cana-1086	70	14	result	result	VERB
cana-1086	70	15	in	in	ADP
cana-1086	70	16	an	an	DET
cana-1086	70	17	issue	issue	NOUN
cana-1086	70	18	called	call	VERB
cana-1086	70	19	exclusion	exclusion	NOUN
cana-1086	70	20	bias	bias	NOUN
cana-1086	70	21	.	.	PUNCT
cana-1086	71	1	•	•	NUM
cana-1086	71	2	data	datum	NOUN
cana-1086	71	3	collection	collection	NOUN
cana-1086	71	4	methods	method	NOUN
cana-1086	71	5	:	:	PUNCT
cana-1086	71	6	bias	bias	NOUN
cana-1086	71	7	may	may	AUX
cana-1086	71	8	be	be	AUX
cana-1086	71	9	introduced	introduce	VERB
cana-1086	71	10	by	by	ADP
cana-1086	71	11	the	the	DET
cana-1086	71	12	methods	method	NOUN
cana-1086	71	13	used	use	VERB
cana-1086	71	14	to	to	PART
cana-1086	71	15	acquire	acquire	VERB
cana-1086	71	16	the	the	DET
cana-1086	71	17	data	datum	NOUN
cana-1086	71	18	.	.	PUNCT
cana-1086	72	1	users	user	NOUN
cana-1086	72	2	who	who	PRON
cana-1086	72	3	are	be	AUX
cana-1086	72	4	less	less	ADJ
cana-1086	72	5	at	at	ADP
cana-1086	72	6	ease	ease	NOUN
cana-1086	72	7	expressing	express	VERB
cana-1086	72	8	their	their	PRON
cana-1086	72	9	preferences	preference	NOUN
cana-1086	72	10	may	may	AUX
cana-1086	72	11	be	be	AUX
cana-1086	72	12	underrepresented	underrepresente	VERB
cana-1086	72	13	in	in	ADP
cana-1086	72	14	a	a	DET
cana-1086	72	15	recommender	recommender	NOUN
cana-1086	72	16	system	system	NOUN
cana-1086	72	17	,	,	PUNCT
cana-1086	72	18	for	for	ADP
cana-1086	72	19	example	example	NOUN
cana-1086	72	20	,	,	PUNCT
cana-1086	72	21	if	if	SCONJ
cana-1086	72	22	it	it	PRON
cana-1086	72	23	only	only	ADV
cana-1086	72	24	uses	use	VERB
cana-1086	72	25	explicit	explicit	ADJ
cana-1086	72	26	user	user	NOUN
cana-1086	72	27	evaluations	evaluation	NOUN
cana-1086	72	28	(	(	PUNCT
cana-1086	72	29	such	such	ADJ
cana-1086	72	30	as	as	ADP
cana-1086	72	31	thumbs	thumb	NOUN
cana-1086	72	32	up	up	ADP
cana-1086	72	33	/	/	SYM
cana-1086	72	34	down	down	ADV
cana-1086	72	35	)	)	PUNCT
cana-1086	72	36	.	.	PUNCT
cana-1086	73	1	in	in	ADP
cana-1086	73	2	their	their	PRON
cana-1086	73	3	investigation	investigation	NOUN
cana-1086	73	4	of	of	ADP
cana-1086	73	5	algorithmic	algorithmic	ADJ
cana-1086	73	6	bias	bias	NOUN
cana-1086	73	7	in	in	ADP
cana-1086	73	8	social	social	ADJ
cana-1086	73	9	news	news	NOUN
cana-1086	73	10	recommenders	recommender	NOUN
cana-1086	73	11	,	,	PUNCT
cana-1086	73	12	[	[	X
cana-1086	73	13	14	14	NUM
cana-1086	73	14	]	]	PUNCT
cana-1086	73	15	pointed	point	VERB
cana-1086	73	16	out	out	ADP
cana-1086	73	17	that	that	SCONJ
cana-1086	73	18	this	this	PRON
cana-1086	73	19	can	can	AUX
cana-1086	73	20	result	result	VERB
cana-1086	73	21	in	in	ADP
cana-1086	73	22	biassed	biassed	ADJ
cana-1086	73	23	recommendations	recommendation	NOUN
cana-1086	73	24	that	that	PRON
cana-1086	73	25	do	do	AUX
cana-1086	73	26	n’t	not	PART
cana-1086	73	27	accurately	accurately	ADV
cana-1086	73	28	represent	represent	VERB
cana-1086	73	29	the	the	DET
cana-1086	73	30	whole	whole	ADJ
cana-1086	73	31	spectrum	spectrum	NOUN
cana-1086	73	32	of	of	ADP
cana-1086	73	33	user	user	NOUN
cana-1086	73	34	interests	interest	NOUN
cana-1086	73	35	.	.	PUNCT
cana-1086	74	1	consider	consider	VERB
cana-1086	74	2	the	the	DET
cana-1086	74	3	following	follow	VERB
cana-1086	74	4	pie	pie	NOUN
cana-1086	74	5	chart	chart	NOUN
cana-1086	74	6	in	in	ADP
cana-1086	74	7	figure	figure	NOUN
cana-1086	74	8	1	1	NUM
cana-1086	74	9	depicting	depict	VERB
cana-1086	74	10	a	a	DET
cana-1086	74	11	scenario	scenario	NOUN
cana-1086	74	12	with	with	ADP
cana-1086	74	13	significant	significant	ADJ
cana-1086	74	14	gender	gender	NOUN
cana-1086	74	15	bias	bias	NOUN
cana-1086	74	16	in	in	ADP
cana-1086	74	17	user	user	NOUN
cana-1086	74	18	data	datum	NOUN
cana-1086	74	19	for	for	ADP
cana-1086	74	20	a	a	DET
cana-1086	74	21	movie	movie	NOUN
cana-1086	74	22	recommender	recommender	NOUN
cana-1086	74	23	system	system	NOUN
cana-1086	74	24	.	.	PUNCT
cana-1086	75	1	as	as	SCONJ
cana-1086	75	2	seen	see	VERB
cana-1086	75	3	,	,	PUNCT
cana-1086	75	4	the	the	DET
cana-1086	75	5	data	datum	NOUN
cana-1086	75	6	primarily	primarily	ADV
cana-1086	75	7	represents	represent	VERB
cana-1086	75	8	the	the	DET
cana-1086	75	9	preferences	preference	NOUN
cana-1086	75	10	of	of	ADP
cana-1086	75	11	a	a	DET
cana-1086	75	12	single	single	ADJ
cana-1086	75	13	gender	gender	NOUN
cana-1086	75	14	group	group	NOUN
cana-1086	75	15	(	(	PUNCT
cana-1086	75	16	e.g.	e.g.	ADV
cana-1086	75	17	,	,	PUNCT
cana-1086	75	18	80	80	NUM
cana-1086	75	19	%	%	NOUN
cana-1086	75	20	male	male	NOUN
cana-1086	75	21	)	)	PUNCT
cana-1086	75	22	.	.	PUNCT
cana-1086	76	1	this	this	PRON
cana-1086	76	2	may	may	AUX
cana-1086	76	3	result	result	VERB
cana-1086	76	4	in	in	ADP
cana-1086	76	5	suggestions	suggestion	NOUN
cana-1086	76	6	that	that	PRON
cana-1086	76	7	are	be	AUX
cana-1086	76	8	biassed	bias	VERB
cana-1086	76	9	in	in	ADP
cana-1086	76	10	favour	favour	NOUN
cana-1086	76	11	of	of	ADP
cana-1086	76	12	directors	director	NOUN
cana-1086	76	13	or	or	CCONJ
cana-1086	76	14	genres	genre	NOUN
cana-1086	76	15	that	that	PRON
cana-1086	76	16	are	be	AUX
cana-1086	76	17	generally	generally	ADV
cana-1086	76	18	enjoyed	enjoy	VERB
cana-1086	76	19	by	by	ADP
cana-1086	76	20	that	that	DET
cana-1086	76	21	group	group	NOUN
cana-1086	76	22	,	,	PUNCT
cana-1086	76	23	disregarding	disregard	VERB
cana-1086	76	24	the	the	DET
cana-1086	76	25	needs	need	NOUN
cana-1086	76	26	of	of	ADP
cana-1086	76	27	the	the	DET
cana-1086	76	28	underrepresented	underrepresented	ADJ
cana-1086	76	29	group	group	NOUN
cana-1086	76	30	(	(	PUNCT
cana-1086	76	31	e.g.	e.g.	ADV
cana-1086	76	32	,	,	PUNCT
cana-1086	76	33	20	20	NUM
cana-1086	76	34	%	%	NOUN
cana-1086	76	35	female	female	NOUN
cana-1086	76	36	)	)	PUNCT
cana-1086	76	37	.	.	PUNCT
cana-1086	77	1	figure	figure	NOUN
cana-1086	77	2	2	2	NUM
cana-1086	77	3	showcases	showcase	VERB
cana-1086	77	4	an	an	DET
cana-1086	77	5	age	age	NOUN
cana-1086	77	6	bias	bias	NOUN
cana-1086	77	7	within	within	ADP
cana-1086	77	8	user	user	NOUN
cana-1086	77	9	data	datum	NOUN
cana-1086	77	10	for	for	ADP
cana-1086	77	11	a	a	DET
cana-1086	77	12	music	music	NOUN
cana-1086	77	13	recommender	recommender	NOUN
cana-1086	77	14	system	system	NOUN
cana-1086	77	15	.	.	PUNCT
cana-1086	78	1	most	most	ADJ
cana-1086	78	2	data	datum	NOUN
cana-1086	78	3	points	point	NOUN
cana-1086	78	4	belong	belong	VERB
cana-1086	78	5	to	to	ADP
cana-1086	78	6	younger	young	ADJ
cana-1086	78	7	users	user	NOUN
cana-1086	78	8	(	(	PUNCT
cana-1086	78	9	e.g.	e.g.	ADV
cana-1086	78	10	,	,	PUNCT
cana-1086	78	11	70	70	NUM
cana-1086	78	12	%	%	NOUN
cana-1086	78	13	under	under	ADP
cana-1086	78	14	35	35	NUM
cana-1086	78	15	)	)	PUNCT
cana-1086	78	16	,	,	PUNCT
cana-1086	78	17	potentially	potentially	ADV
cana-1086	78	18	leading	lead	VERB
cana-1086	78	19	to	to	ADP
cana-1086	78	20	a	a	DET
cana-1086	78	21	bias	bias	NOUN
cana-1086	78	22	towards	towards	ADP
cana-1086	78	23	music	music	NOUN
cana-1086	78	24	genres	genre	NOUN
cana-1086	78	25	and	and	CCONJ
cana-1086	78	26	artists	artist	NOUN
cana-1086	78	27	popular	popular	ADJ
cana-1086	78	28	with	with	ADP
cana-1086	78	29	younger	young	ADJ
cana-1086	78	30	audiences	audience	NOUN
cana-1086	78	31	.	.	PUNCT
cana-1086	79	1	figure	figure	VERB
cana-1086	79	2	1	1	NUM
cana-1086	79	3	:	:	PUNCT
cana-1086	79	4	gender	gender	NOUN
cana-1086	79	5	bias	bias	NOUN
cana-1086	79	6	in	in	ADP
cana-1086	79	7	movie	movie	NOUN
cana-1086	79	8	recommender	recommender	NOUN
cana-1086	79	9	system	system	NOUN
cana-1086	79	10	data	datum	NOUN
cana-1086	79	11	figure	figure	NOUN
cana-1086	79	12	2	2	NUM
cana-1086	79	13	:	:	PUNCT
cana-1086	79	14	age	age	NOUN
cana-1086	79	15	bias	bias	NOUN
cana-1086	79	16	in	in	ADP
cana-1086	79	17	music	music	NOUN
cana-1086	79	18	recommender	recommender	NOUN
cana-1086	79	19	system	system	NOUN
cana-1086	79	20	data	datum	NOUN
cana-1086	79	21	2	2	NUM
cana-1086	79	22	.	.	PUNCT
cana-1086	79	23	algorithmic	algorithmic	ADJ
cana-1086	79	24	bias	bias	NOUN
cana-1086	79	25	:	:	PUNCT
cana-1086	79	26	algorithmic	algorithmic	ADJ
cana-1086	79	27	bias	bias	NOUN
cana-1086	79	28	refers	refer	VERB
cana-1086	79	29	to	to	ADP
cana-1086	79	30	inherent	inherent	ADJ
cana-1086	79	31	biases	bias	NOUN
cana-1086	79	32	within	within	ADP
cana-1086	79	33	the	the	DET
cana-1086	79	34	design	design	NOUN
cana-1086	79	35	of	of	ADP
cana-1086	79	36	the	the	DET
cana-1086	79	37	recommender	recommender	NOUN
cana-1086	79	38	system	system	NOUN
cana-1086	79	39	itself	itself	PRON
cana-1086	79	40	.	.	PUNCT
cana-1086	80	1	these	these	DET
cana-1086	80	2	biases	bias	NOUN
cana-1086	80	3	can	can	AUX
cana-1086	80	4	arise	arise	VERB
cana-1086	80	5	from	from	ADP
cana-1086	80	6	the	the	DET
cana-1086	80	7	very	very	ADJ
cana-1086	80	8	choices	choice	NOUN
cana-1086	80	9	made	make	VERB
cana-1086	80	10	during	during	ADP
cana-1086	80	11	the	the	DET
cana-1086	80	12	development	development	NOUN
cana-1086	80	13	process	process	NOUN
cana-1086	80	14	:	:	PUNCT
cana-1086	80	15	communications	communication	NOUN
cana-1086	80	16	on	on	ADP
cana-1086	80	17	applied	apply	VERB
cana-1086	80	18	nonlinear	nonlinear	ADJ
cana-1086	80	19	analysis	analysis	NOUN
cana-1086	80	20	issn	issn	NOUN
cana-1086	80	21	:	:	PUNCT
cana-1086	80	22	1074	1074	NUM
cana-1086	80	23	-	-	PUNCT
cana-1086	80	24	133x	133x	NUM
cana-1086	80	25	vol	vol	NOUN
cana-1086	80	26	31	31	NUM
cana-1086	80	27	no	no	NOUN
cana-1086	80	28	.	.	PUNCT
cana-1086	81	1	5s	5s	NUM
cana-1086	81	2	(	(	PUNCT
cana-1086	81	3	2024	2024	NUM
cana-1086	81	4	)	)	PUNCT
cana-1086	81	5	511	511	NUM
cana-1086	81	6	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-1086	81	7	•	•	ADP
cana-1086	81	8	algorithmic	algorithmic	ADJ
cana-1086	81	9	choices	choice	NOUN
cana-1086	81	10	:	:	PUNCT
cana-1086	81	11	one	one	NUM
cana-1086	81	12	potential	potential	ADJ
cana-1086	81	13	source	source	NOUN
cana-1086	81	14	of	of	ADP
cana-1086	81	15	bias	bias	NOUN
cana-1086	81	16	is	be	AUX
cana-1086	81	17	the	the	DET
cana-1086	81	18	recommendation	recommendation	NOUN
cana-1086	81	19	algorithm	algorithm	NOUN
cana-1086	81	20	’s	’s	PART
cana-1086	81	21	choice	choice	NOUN
cana-1086	81	22	.	.	PUNCT
cana-1086	82	1	algorithms	algorithm	NOUN
cana-1086	82	2	that	that	PRON
cana-1086	82	3	favour	favour	VERB
cana-1086	82	4	items	item	NOUN
cana-1086	82	5	with	with	ADP
cana-1086	82	6	more	more	ADJ
cana-1086	82	7	user	user	NOUN
cana-1086	82	8	interactions	interaction	NOUN
cana-1086	82	9	,	,	PUNCT
cana-1086	82	10	such	such	ADJ
cana-1086	82	11	as	as	ADP
cana-1086	82	12	collaborative	collaborative	ADJ
cana-1086	82	13	filtering	filtering	NOUN
cana-1086	82	14	(	(	PUNCT
cana-1086	82	15	cf	cf	NOUN
cana-1086	82	16	)	)	PUNCT
cana-1086	82	17	algorithms	algorithm	NOUN
cana-1086	82	18	,	,	PUNCT
cana-1086	82	19	have	have	AUX
cana-1086	82	20	been	be	AUX
cana-1086	82	21	shown	show	VERB
cana-1086	82	22	to	to	PART
cana-1086	82	23	magnify	magnify	VERB
cana-1086	82	24	popularity	popularity	NOUN
cana-1086	82	25	bias	bias	NOUN
cana-1086	82	26	.	.	PUNCT
cana-1086	83	1	in	in	ADP
cana-1086	83	2	their	their	PRON
cana-1086	83	3	work	work	NOUN
cana-1086	83	4	on	on	ADP
cana-1086	83	5	fairness	fairness	NOUN
cana-1086	83	6	-	-	PUNCT
cana-1086	83	7	aware	aware	ADJ
cana-1086	83	8	matrix	matrix	NOUN
cana-1086	83	9	factorization	factorization	NOUN
cana-1086	83	10	for	for	ADP
cana-1086	83	11	recommender	recommender	NOUN
cana-1086	83	12	systems	system	NOUN
cana-1086	83	13	,	,	PUNCT
cana-1086	83	14	[	[	X
cana-1086	83	15	3	3	NUM
cana-1086	83	16	]	]	PUNCT
cana-1086	83	17	draw	draw	VERB
cana-1086	83	18	attention	attention	NOUN
cana-1086	83	19	to	to	ADP
cana-1086	83	20	the	the	DET
cana-1086	83	21	possibility	possibility	NOUN
cana-1086	83	22	of	of	ADP
cana-1086	83	23	a	a	DET
cana-1086	83	24	long	long	ADJ
cana-1086	83	25	-	-	PUNCT
cana-1086	83	26	tail	tail	NOUN
cana-1086	83	27	problem	problem	NOUN
cana-1086	83	28	,	,	PUNCT
cana-1086	83	29	in	in	ADP
cana-1086	83	30	which	which	PRON
cana-1086	83	31	less	less	ADV
cana-1086	83	32	popular	popular	ADJ
cana-1086	83	33	but	but	CCONJ
cana-1086	83	34	potentially	potentially	ADV
cana-1086	83	35	important	important	ADJ
cana-1086	83	36	options	option	NOUN
cana-1086	83	37	are	be	AUX
cana-1086	83	38	ignored	ignore	VERB
cana-1086	83	39	.	.	PUNCT
cana-1086	84	1	figure	figure	VERB
cana-1086	84	2	3	3	NUM
cana-1086	84	3	:	:	PUNCT
cana-1086	84	4	long	long	ADJ
cana-1086	84	5	-	-	PUNCT
cana-1086	84	6	tail	tail	NOUN
cana-1086	84	7	distribution	distribution	NOUN
cana-1086	84	8	in	in	ADP
cana-1086	84	9	recommender	recommender	NOUN
cana-1086	84	10	systems	system	NOUN
cana-1086	84	11	the	the	DET
cana-1086	84	12	long	long	ADJ
cana-1086	84	13	-	-	PUNCT
cana-1086	84	14	tail	tail	NOUN
cana-1086	84	15	issue	issue	NOUN
cana-1086	84	16	in	in	ADP
cana-1086	84	17	recommender	recommender	NOUN
cana-1086	84	18	systems	system	NOUN
cana-1086	84	19	is	be	AUX
cana-1086	84	20	highlighted	highlight	VERB
cana-1086	84	21	in	in	ADP
cana-1086	84	22	figure	figure	NOUN
cana-1086	84	23	3	3	NUM
cana-1086	84	24	,	,	PUNCT
cana-1086	84	25	which	which	PRON
cana-1086	84	26	uses	use	VERB
cana-1086	84	27	a	a	DET
cana-1086	84	28	power	power	NOUN
cana-1086	84	29	law	law	NOUN
cana-1086	84	30	curve	curve	NOUN
cana-1086	84	31	to	to	PART
cana-1086	84	32	illustrate	illustrate	VERB
cana-1086	84	33	the	the	DET
cana-1086	84	34	idea	idea	NOUN
cana-1086	84	35	of	of	ADP
cana-1086	84	36	algorithmic	algorithmic	ADJ
cana-1086	84	37	bias	bias	NOUN
cana-1086	84	38	.	.	PUNCT
cana-1086	85	1	the	the	DET
cana-1086	85	2	power	power	NOUN
cana-1086	85	3	law	law	NOUN
cana-1086	85	4	curve	curve	NOUN
cana-1086	85	5	displays	display	VERB
cana-1086	85	6	a	a	DET
cana-1086	85	7	steep	steep	ADJ
cana-1086	85	8	drop	drop	NOUN
cana-1086	85	9	in	in	ADP
cana-1086	85	10	popularity	popularity	NOUN
cana-1086	85	11	along	along	ADP
cana-1086	85	12	the	the	DET
cana-1086	85	13	sorted	sorted	ADJ
cana-1086	85	14	list	list	NOUN
cana-1086	85	15	’s	’s	PART
cana-1086	85	16	(	(	PUNCT
cana-1086	85	17	x	x	NOUN
cana-1086	85	18	-	-	NOUN
cana-1086	85	19	axis	axis	ADJ
cana-1086	85	20	)	)	PUNCT
cana-1086	85	21	downward	downward	ADJ
cana-1086	85	22	direction	direction	NOUN
cana-1086	85	23	.	.	PUNCT
cana-1086	86	1	this	this	PRON
cana-1086	86	2	indicates	indicate	VERB
cana-1086	86	3	that	that	SCONJ
cana-1086	86	4	the	the	DET
cana-1086	86	5	recommender	recommender	NOUN
cana-1086	86	6	system	system	NOUN
cana-1086	86	7	tends	tend	VERB
cana-1086	86	8	to	to	PART
cana-1086	86	9	prioritise	prioritise	VERB
cana-1086	86	10	popular	popular	ADJ
cana-1086	86	11	things	thing	NOUN
cana-1086	86	12	(	(	PUNCT
cana-1086	86	13	left	leave	VERB
cana-1086	86	14	side	side	NOUN
cana-1086	86	15	of	of	ADP
cana-1086	86	16	the	the	DET
cana-1086	86	17	curve	curve	NOUN
cana-1086	86	18	)	)	PUNCT
cana-1086	86	19	with	with	ADP
cana-1086	86	20	higher	high	ADJ
cana-1086	86	21	user	user	NOUN
cana-1086	86	22	interactions	interaction	NOUN
cana-1086	86	23	,	,	PUNCT
cana-1086	86	24	meaning	mean	VERB
cana-1086	86	25	that	that	SCONJ
cana-1086	86	26	many	many	ADJ
cana-1086	86	27	niche	niche	NOUN
cana-1086	86	28	products	product	NOUN
cana-1086	86	29	(	(	PUNCT
cana-1086	86	30	long	long	ADJ
cana-1086	86	31	tail	tail	NOUN
cana-1086	86	32	)	)	PUNCT
cana-1086	86	33	receive	receive	VERB
cana-1086	86	34	less	less	ADJ
cana-1086	86	35	attention	attention	NOUN
cana-1086	86	36	.	.	PUNCT
cana-1086	87	1	•	•	NUM
cana-1086	87	2	similarity	similarity	NOUN
cana-1086	87	3	metrics	metric	NOUN
cana-1086	87	4	:	:	PUNCT
cana-1086	87	5	there	there	PRON
cana-1086	87	6	is	be	VERB
cana-1086	87	7	potential	potential	ADJ
cana-1086	87	8	for	for	ADP
cana-1086	87	9	bias	bias	NOUN
cana-1086	87	10	in	in	ADP
cana-1086	87	11	the	the	DET
cana-1086	87	12	metrics	metric	NOUN
cana-1086	87	13	employed	employ	VERB
cana-1086	87	14	to	to	PART
cana-1086	87	15	assess	assess	VERB
cana-1086	87	16	item	item	NOUN
cana-1086	87	17	similarity	similarity	NOUN
cana-1086	87	18	.	.	PUNCT
cana-1086	88	1	a	a	DET
cana-1086	88	2	measure	measure	NOUN
cana-1086	88	3	that	that	PRON
cana-1086	88	4	favours	favour	VERB
cana-1086	88	5	item	item	NOUN
cana-1086	88	6	attributes	attribute	NOUN
cana-1086	88	7	that	that	PRON
cana-1086	88	8	are	be	AUX
cana-1086	88	9	regularly	regularly	ADV
cana-1086	88	10	purchased	purchase	VERB
cana-1086	88	11	together	together	ADV
cana-1086	88	12	,	,	PUNCT
cana-1086	88	13	for	for	ADP
cana-1086	88	14	example	example	NOUN
cana-1086	88	15	,	,	PUNCT
cana-1086	88	16	may	may	AUX
cana-1086	88	17	penalise	penalise	VERB
cana-1086	88	18	niche	niche	NOUN
cana-1086	88	19	items	item	NOUN
cana-1086	88	20	that	that	PRON
cana-1086	88	21	are	be	AUX
cana-1086	88	22	not	not	PART
cana-1086	88	23	frequently	frequently	ADV
cana-1086	88	24	purchased	purchase	VERB
cana-1086	88	25	in	in	ADP
cana-1086	88	26	conjunction	conjunction	NOUN
cana-1086	88	27	with	with	ADP
cana-1086	88	28	other	other	ADJ
cana-1086	88	29	popular	popular	ADJ
cana-1086	88	30	items	item	NOUN
cana-1086	88	31	.	.	PUNCT
cana-1086	89	1	in	in	ADP
cana-1086	89	2	their	their	PRON
cana-1086	89	3	investigation	investigation	NOUN
cana-1086	89	4	of	of	ADP
cana-1086	89	5	fairness	fairness	NOUN
cana-1086	89	6	in	in	ADP
cana-1086	89	7	recommender	recommender	NOUN
cana-1086	89	8	systems	system	NOUN
cana-1086	89	9	,	,	PUNCT
cana-1086	89	10	[	[	X
cana-1086	89	11	15	15	NUM
cana-1086	89	12	]	]	PUNCT
cana-1086	89	13	address	address	NOUN
cana-1086	89	14	how	how	SCONJ
cana-1086	89	15	this	this	PRON
cana-1086	89	16	may	may	AUX
cana-1086	89	17	prevent	prevent	VERB
cana-1086	89	18	recommendations	recommendation	NOUN
cana-1086	89	19	from	from	ADP
cana-1086	89	20	being	be	AUX
cana-1086	89	21	serendipitous	serendipitous	ADJ
cana-1086	89	22	and	and	CCONJ
cana-1086	89	23	restrict	restrict	VERB
cana-1086	89	24	user	user	NOUN
cana-1086	89	25	exposure	exposure	NOUN
cana-1086	89	26	to	to	ADP
cana-1086	89	27	a	a	DET
cana-1086	89	28	range	range	NOUN
cana-1086	89	29	of	of	ADP
cana-1086	89	30	possibilities	possibility	NOUN
cana-1086	89	31	.	.	PUNCT
cana-1086	90	1	•	•	NUM
cana-1086	90	2	exposure	exposure	NOUN
cana-1086	90	3	bias	bias	NOUN
cana-1086	90	4	:	:	PUNCT
cana-1086	90	5	bias	bias	NOUN
cana-1086	90	6	may	may	AUX
cana-1086	90	7	be	be	AUX
cana-1086	90	8	introduced	introduce	VERB
cana-1086	90	9	into	into	ADP
cana-1086	90	10	recommendations	recommendation	NOUN
cana-1086	90	11	by	by	ADP
cana-1086	90	12	the	the	DET
cana-1086	90	13	recommender	recommender	NOUN
cana-1086	90	14	system	system	NOUN
cana-1086	90	15	’s	’s	PART
cana-1086	90	16	presentation	presentation	NOUN
cana-1086	90	17	.	.	PUNCT
cana-1086	91	1	the	the	DET
cana-1086	91	2	echo	echo	PROPN
cana-1086	91	3	chamber	chamber	NOUN
cana-1086	91	4	effect	effect	NOUN
cana-1086	91	5	,	,	PUNCT
cana-1086	91	6	which	which	PRON
cana-1086	91	7	limits	limit	VERB
cana-1086	91	8	a	a	DET
cana-1086	91	9	user	user	NOUN
cana-1086	91	10	’s	’s	PART
cana-1086	91	11	exposure	exposure	NOUN
cana-1086	91	12	to	to	ADP
cana-1086	91	13	a	a	DET
cana-1086	91	14	variety	variety	NOUN
cana-1086	91	15	of	of	ADP
cana-1086	91	16	possibilities	possibility	NOUN
cana-1086	91	17	and	and	CCONJ
cana-1086	91	18	reinforces	reinforce	VERB
cana-1086	91	19	their	their	PRON
cana-1086	91	20	preexisting	preexist	VERB
cana-1086	91	21	preferences	preference	NOUN
cana-1086	91	22	,	,	PUNCT
cana-1086	91	23	may	may	AUX
cana-1086	91	24	be	be	AUX
cana-1086	91	25	caused	cause	VERB
cana-1086	91	26	by	by	ADP
cana-1086	91	27	algorithms	algorithm	NOUN
cana-1086	91	28	that	that	PRON
cana-1086	91	29	give	give	VERB
cana-1086	91	30	priority	priority	NOUN
cana-1086	91	31	to	to	ADP
cana-1086	91	32	highly	highly	ADV
cana-1086	91	33	-	-	PUNCT
cana-1086	91	34	rated	rate	VERB
cana-1086	91	35	goods	good	NOUN
cana-1086	91	36	.	.	PUNCT
cana-1086	92	1	in	in	ADP
cana-1086	92	2	his	his	PRON
cana-1086	92	3	research	research	NOUN
cana-1086	92	4	on	on	ADP
cana-1086	92	5	the	the	DET
cana-1086	92	6	drawbacks	drawback	NOUN
cana-1086	92	7	of	of	ADP
cana-1086	92	8	personalisation	personalisation	NOUN
cana-1086	92	9	algorithms	algorithm	NOUN
cana-1086	92	10	,	,	PUNCT
cana-1086	92	11	[	[	X
cana-1086	92	12	16	16	NUM
cana-1086	92	13	]	]	PUNCT
cana-1086	92	14	examined	examine	VERB
cana-1086	92	15	these	these	DET
cana-1086	92	16	phenomena	phenomenon	NOUN
cana-1086	92	17	,	,	PUNCT
cana-1086	92	18	also	also	ADV
cana-1086	92	19	referred	refer	VERB
cana-1086	92	20	to	to	ADP
cana-1086	92	21	as	as	ADP
cana-1086	92	22	filter	filter	NOUN
cana-1086	92	23	bubble	bubble	NOUN
cana-1086	92	24	bias	bias	NOUN
cana-1086	92	25	.	.	PUNCT
cana-1086	93	1	3	3	X
cana-1086	93	2	.	.	X
cana-1086	93	3	interaction	interaction	NOUN
cana-1086	93	4	bias	bias	NOUN
cana-1086	93	5	:	:	PUNCT
cana-1086	93	6	interaction	interaction	NOUN
cana-1086	93	7	bias	bias	NOUN
cana-1086	93	8	refers	refer	VERB
cana-1086	93	9	to	to	ADP
cana-1086	93	10	biases	bias	NOUN
cana-1086	93	11	introduced	introduce	VERB
cana-1086	93	12	through	through	ADP
cana-1086	93	13	user	user	NOUN
cana-1086	93	14	interactions	interaction	NOUN
cana-1086	93	15	with	with	ADP
cana-1086	93	16	the	the	DET
cana-1086	93	17	recommender	recommender	NOUN
cana-1086	93	18	system	system	NOUN
cana-1086	93	19	.	.	PUNCT
cana-1086	94	1	these	these	DET
cana-1086	94	2	biases	bias	NOUN
cana-1086	94	3	create	create	VERB
cana-1086	94	4	a	a	DET
cana-1086	94	5	feedback	feedback	NOUN
cana-1086	94	6	loop	loop	NOUN
cana-1086	94	7	where	where	SCONJ
cana-1086	94	8	user	user	NOUN
cana-1086	94	9	behaviour	behaviour	NOUN
cana-1086	94	10	unwittingly	unwittingly	ADV
cana-1086	94	11	reinforces	reinforce	VERB
cana-1086	94	12	existing	exist	VERB
cana-1086	94	13	biases	bias	NOUN
cana-1086	94	14	within	within	ADP
cana-1086	94	15	the	the	DET
cana-1086	94	16	system	system	NOUN
cana-1086	94	17	:	:	PUNCT
cana-1086	94	18	•	•	NUM
cana-1086	94	19	confirmation	confirmation	NOUN
cana-1086	94	20	bias	bias	NOUN
cana-1086	94	21	:	:	PUNCT
cana-1086	94	22	users	user	NOUN
cana-1086	94	23	tend	tend	VERB
cana-1086	94	24	to	to	PART
cana-1086	94	25	click	click	VERB
cana-1086	94	26	on	on	ADP
cana-1086	94	27	and	and	CCONJ
cana-1086	94	28	interact	interact	VERB
cana-1086	94	29	with	with	ADP
cana-1086	94	30	recommendations	recommendation	NOUN
cana-1086	94	31	that	that	PRON
cana-1086	94	32	align	align	VERB
cana-1086	94	33	with	with	ADP
cana-1086	94	34	their	their	PRON
cana-1086	94	35	existing	exist	VERB
cana-1086	94	36	preferences	preference	NOUN
cana-1086	94	37	.	.	PUNCT
cana-1086	95	1	this	this	PRON
cana-1086	95	2	reinforces	reinforce	VERB
cana-1086	95	3	the	the	DET
cana-1086	95	4	bias	bias	NOUN
cana-1086	95	5	within	within	ADP
cana-1086	95	6	the	the	DET
cana-1086	95	7	system	system	NOUN
cana-1086	95	8	as	as	SCONJ
cana-1086	95	9	the	the	DET
cana-1086	95	10	algorithm	algorithm	NOUN
cana-1086	95	11	prioritizes	prioritize	VERB
cana-1086	95	12	items	item	NOUN
cana-1086	95	13	like	like	ADP
cana-1086	95	14	those	those	PRON
cana-1086	95	15	the	the	DET
cana-1086	95	16	user	user	NOUN
cana-1086	95	17	has	have	AUX
cana-1086	95	18	already	already	ADV
cana-1086	95	19	interacted	interact	VERB
cana-1086	95	20	with	with	ADP
cana-1086	95	21	.	.	PUNCT
cana-1086	96	1	this	this	DET
cana-1086	96	2	phenomenon	phenomenon	NOUN
cana-1086	96	3	,	,	PUNCT
cana-1086	96	4	explored	explore	VERB
cana-1086	96	5	by	by	ADP
cana-1086	96	6	[	[	X
cana-1086	96	7	17	17	NUM
cana-1086	96	8	]	]	PUNCT
cana-1086	96	9	,	,	PUNCT
cana-1086	96	10	can	can	AUX
cana-1086	96	11	lead	lead	VERB
cana-1086	96	12	to	to	ADP
cana-1086	96	13	a	a	DET
cana-1086	96	14	cycle	cycle	NOUN
cana-1086	96	15	where	where	SCONJ
cana-1086	96	16	users	user	NOUN
cana-1086	96	17	are	be	AUX
cana-1086	96	18	continuously	continuously	ADV
cana-1086	96	19	exposed	expose	VERB
cana-1086	96	20	to	to	ADP
cana-1086	96	21	content	content	NOUN
cana-1086	96	22	that	that	PRON
cana-1086	96	23	confirms	confirm	VERB
cana-1086	96	24	their	their	PRON
cana-1086	96	25	existing	exist	VERB
cana-1086	96	26	beliefs	belief	NOUN
cana-1086	96	27	and	and	CCONJ
cana-1086	96	28	limits	limit	VERB
cana-1086	96	29	their	their	PRON
cana-1086	96	30	exploration	exploration	NOUN
cana-1086	96	31	of	of	ADP
cana-1086	96	32	new	new	ADJ
cana-1086	96	33	and	and	CCONJ
cana-1086	96	34	diverse	diverse	ADJ
cana-1086	96	35	viewpoints	viewpoint	NOUN
cana-1086	96	36	.	.	PUNCT
cana-1086	97	1	•	•	NUM
cana-1086	97	2	clickstream	clickstream	NOUN
cana-1086	97	3	bias	bias	NOUN
cana-1086	97	4	:	:	PUNCT
cana-1086	97	5	to	to	PART
cana-1086	97	6	improve	improve	VERB
cana-1086	97	7	their	their	PRON
cana-1086	97	8	suggestions	suggestion	NOUN
cana-1086	97	9	,	,	PUNCT
cana-1086	97	10	recommender	recommender	NOUN
cana-1086	97	11	systems	system	NOUN
cana-1086	97	12	frequently	frequently	ADV
cana-1086	97	13	rely	rely	VERB
cana-1086	97	14	on	on	ADP
cana-1086	97	15	user	user	NOUN
cana-1086	97	16	clicks	click	NOUN
cana-1086	97	17	and	and	CCONJ
cana-1086	97	18	interactions	interaction	NOUN
cana-1086	97	19	.	.	PUNCT
cana-1086	98	1	but	but	CCONJ
cana-1086	98	2	if	if	SCONJ
cana-1086	98	3	consumers	consumer	NOUN
cana-1086	98	4	are	be	AUX
cana-1086	98	5	more	more	ADV
cana-1086	98	6	likely	likely	ADJ
cana-1086	98	7	to	to	PART
cana-1086	98	8	click	click	VERB
cana-1086	98	9	on	on	ADP
cana-1086	98	10	recommendations	recommendation	NOUN
cana-1086	98	11	that	that	PRON
cana-1086	98	12	catch	catch	VERB
cana-1086	98	13	their	their	PRON
cana-1086	98	14	attention	attention	NOUN
cana-1086	98	15	than	than	ADP
cana-1086	98	16	on	on	ADP
cana-1086	98	17	ones	one	NOUN
cana-1086	98	18	that	that	PRON
cana-1086	98	19	truly	truly	ADV
cana-1086	98	20	suit	suit	VERB
cana-1086	98	21	them	they	PRON
cana-1086	98	22	,	,	PUNCT
cana-1086	98	23	this	this	PRON
cana-1086	98	24	could	could	AUX
cana-1086	98	25	result	result	VERB
cana-1086	98	26	in	in	ADP
cana-1086	98	27	bias	bias	NOUN
cana-1086	98	28	.	.	PUNCT
cana-1086	99	1	this	this	DET
cana-1086	99	2	clickstream	clickstream	NOUN
cana-1086	99	3	bias	bias	NOUN
cana-1086	99	4	might	might	AUX
cana-1086	99	5	cause	cause	VERB
cana-1086	99	6	communications	communication	NOUN
cana-1086	99	7	on	on	ADP
cana-1086	99	8	applied	apply	VERB
cana-1086	99	9	nonlinear	nonlinear	ADJ
cana-1086	99	10	analysis	analysis	NOUN
cana-1086	99	11	issn	issn	NOUN
cana-1086	99	12	:	:	PUNCT
cana-1086	99	13	1074	1074	NUM
cana-1086	99	14	-	-	PUNCT
cana-1086	99	15	133x	133x	NUM
cana-1086	99	16	vol	vol	NOUN
cana-1086	99	17	31	31	NUM
cana-1086	99	18	no	no	NOUN
cana-1086	99	19	.	.	PUNCT
cana-1086	100	1	5s	5s	NUM
cana-1086	100	2	(	(	PUNCT
cana-1086	100	3	2024	2024	NUM
cana-1086	100	4	)	)	PUNCT
cana-1086	100	5	512	512	NUM
cana-1086	100	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1086	100	7	the	the	DET
cana-1086	100	8	algorithm	algorithm	NOUN
cana-1086	100	9	to	to	PART
cana-1086	100	10	choose	choose	VERB
cana-1086	100	11	sensationalised	sensationalised	ADJ
cana-1086	100	12	information	information	NOUN
cana-1086	100	13	over	over	ADP
cana-1086	100	14	more	more	ADV
cana-1086	100	15	insightful	insightful	ADJ
cana-1086	100	16	recommendations	recommendation	NOUN
cana-1086	100	17	,	,	PUNCT
cana-1086	100	18	as	as	SCONJ
cana-1086	100	19	[	[	X
cana-1086	100	20	1	1	NUM
cana-1086	100	21	]	]	PUNCT
cana-1086	100	22	pointed	point	VERB
cana-1086	100	23	out	out	ADP
cana-1086	100	24	in	in	ADP
cana-1086	100	25	their	their	PRON
cana-1086	100	26	research	research	NOUN
cana-1086	100	27	on	on	ADP
cana-1086	100	28	recommender	recommender	NOUN
cana-1086	100	29	system	system	NOUN
cana-1086	100	30	biases	bias	NOUN
cana-1086	100	31	.	.	PUNCT
cana-1086	101	1	•	•	NUM
cana-1086	101	2	feedback	feedback	NOUN
cana-1086	101	3	loop	loop	NOUN
cana-1086	101	4	:	:	PUNCT
cana-1086	101	5	the	the	DET
cana-1086	101	6	system	system	NOUN
cana-1086	101	7	’s	’s	PART
cana-1086	101	8	prejudice	prejudice	NOUN
cana-1086	101	9	is	be	AUX
cana-1086	101	10	further	far	ADV
cana-1086	101	11	reinforced	reinforce	VERB
cana-1086	101	12	by	by	ADP
cana-1086	101	13	positive	positive	ADJ
cana-1086	101	14	user	user	NOUN
cana-1086	101	15	feedback	feedback	NOUN
cana-1086	101	16	on	on	ADP
cana-1086	101	17	biassed	biassed	ADJ
cana-1086	101	18	suggestions	suggestion	NOUN
cana-1086	101	19	.	.	PUNCT
cana-1086	102	1	this	this	PRON
cana-1086	102	2	leads	lead	VERB
cana-1086	102	3	to	to	ADP
cana-1086	102	4	a	a	DET
cana-1086	102	5	feedback	feedback	NOUN
cana-1086	102	6	cycle	cycle	NOUN
cana-1086	102	7	,	,	PUNCT
cana-1086	102	8	as	as	SCONJ
cana-1086	102	9	[	[	X
cana-1086	102	10	18	18	NUM
cana-1086	102	11	]	]	SYM
cana-1086	102	12	highlight	highlight	NOUN
cana-1086	102	13	,	,	PUNCT
cana-1086	102	14	wherein	wherein	SCONJ
cana-1086	102	15	initially	initially	ADV
cana-1086	102	16	biassed	biassed	ADJ
cana-1086	102	17	recommendations	recommendation	NOUN
cana-1086	102	18	gradually	gradually	ADV
cana-1086	102	19	grow	grow	VERB
cana-1086	102	20	even	even	ADV
cana-1086	102	21	more	more	ADV
cana-1086	102	22	pronounced	pronounced	ADJ
cana-1086	102	23	.	.	PUNCT
cana-1086	103	1	this	this	PRON
cana-1086	103	2	may	may	AUX
cana-1086	103	3	cause	cause	VERB
cana-1086	103	4	consumers	consumer	NOUN
cana-1086	103	5	to	to	PART
cana-1086	103	6	be	be	AUX
cana-1086	103	7	exposed	expose	VERB
cana-1086	103	8	to	to	ADP
cana-1086	103	9	biassed	biassed	ADJ
cana-1086	103	10	content	content	NOUN
cana-1086	103	11	more	more	ADV
cana-1086	103	12	frequently	frequently	ADV
cana-1086	103	13	,	,	PUNCT
cana-1086	103	14	which	which	PRON
cana-1086	103	15	would	would	AUX
cana-1086	103	16	reinforce	reinforce	VERB
cana-1086	103	17	the	the	DET
cana-1086	103	18	system	system	NOUN
cana-1086	103	19	’s	’s	PART
cana-1086	103	20	inherent	inherent	ADJ
cana-1086	103	21	prejudices	prejudice	NOUN
cana-1086	103	22	.	.	PUNCT
cana-1086	104	1	by	by	ADP
cana-1086	104	2	recognising	recognise	VERB
cana-1086	104	3	these	these	DET
cana-1086	104	4	diverse	diverse	ADJ
cana-1086	104	5	origins	origin	NOUN
cana-1086	104	6	of	of	ADP
cana-1086	104	7	prejudice	prejudice	NOUN
cana-1086	104	8	,	,	PUNCT
cana-1086	104	9	scholars	scholar	NOUN
cana-1086	104	10	and	and	CCONJ
cana-1086	104	11	programmers	programmer	NOUN
cana-1086	104	12	can	can	AUX
cana-1086	104	13	endeavour	endeavour	VERB
cana-1086	104	14	to	to	PART
cana-1086	104	15	establish	establish	VERB
cana-1086	104	16	more	more	ADV
cana-1086	104	17	just	just	ADV
cana-1086	104	18	and	and	CCONJ
cana-1086	104	19	equitable	equitable	ADJ
cana-1086	104	20	recommender	recommender	NOUN
cana-1086	104	21	systems	system	NOUN
cana-1086	104	22	with	with	ADP
cana-1086	104	23	great	great	ADJ
cana-1086	104	24	thought	thought	NOUN
cana-1086	104	25	.	.	PUNCT
cana-1086	105	1	4	4	X
cana-1086	105	2	.	.	X
cana-1086	105	3	impact	impact	NOUN
cana-1086	105	4	of	of	ADP
cana-1086	105	5	bias	bias	NOUN
cana-1086	105	6	in	in	ADP
cana-1086	105	7	recommender	recommender	NOUN
cana-1086	105	8	systems	system	NOUN
cana-1086	105	9	although	although	SCONJ
cana-1086	105	10	recommender	recommender	NOUN
cana-1086	105	11	systems	system	NOUN
cana-1086	105	12	provide	provide	VERB
cana-1086	105	13	unquestionably	unquestionably	ADV
cana-1086	105	14	valuable	valuable	ADJ
cana-1086	105	15	personalisation	personalisation	NOUN
cana-1086	105	16	,	,	PUNCT
cana-1086	105	17	users	user	NOUN
cana-1086	105	18	and	and	CCONJ
cana-1086	105	19	society	society	NOUN
cana-1086	105	20	may	may	AUX
cana-1086	105	21	suffer	suffer	VERB
cana-1086	105	22	greatly	greatly	ADV
cana-1086	105	23	from	from	ADP
cana-1086	105	24	biassed	biassed	ADJ
cana-1086	105	25	recommendations	recommendation	NOUN
cana-1086	105	26	.	.	PUNCT
cana-1086	106	1	here	here	ADV
cana-1086	106	2	,	,	PUNCT
cana-1086	106	3	we	we	PRON
cana-1086	106	4	examine	examine	VERB
cana-1086	106	5	these	these	DET
cana-1086	106	6	possible	possible	ADJ
cana-1086	106	7	effects	effect	NOUN
cana-1086	106	8	in	in	ADP
cana-1086	106	9	more	more	ADJ
cana-1086	106	10	detail	detail	NOUN
cana-1086	106	11	,	,	PUNCT
cana-1086	106	12	using	use	VERB
cana-1086	106	13	knowledge	knowledge	NOUN
cana-1086	106	14	from	from	ADP
cana-1086	106	15	pertinent	pertinent	ADJ
cana-1086	106	16	studies	study	NOUN
cana-1086	106	17	:	:	PUNCT
cana-1086	106	18	1	1	X
cana-1086	106	19	.	.	PUNCT
cana-1086	106	20	reduced	reduce	VERB
cana-1086	106	21	user	user	NOUN
cana-1086	106	22	satisfaction	satisfaction	NOUN
cana-1086	106	23	and	and	CCONJ
cana-1086	106	24	trust	trust	NOUN
cana-1086	106	25	in	in	ADP
cana-1086	106	26	the	the	DET
cana-1086	106	27	system	system	NOUN
cana-1086	106	28	:	:	PUNCT
cana-1086	106	29	•	•	NUM
cana-1086	106	30	irrelevance	irrelevance	NOUN
cana-1086	106	31	and	and	CCONJ
cana-1086	106	32	frustration	frustration	NOUN
cana-1086	106	33	:	:	PUNCT
cana-1086	106	34	biased	biased	ADJ
cana-1086	106	35	recommendations	recommendation	NOUN
cana-1086	106	36	frequently	frequently	ADV
cana-1086	106	37	fall	fall	VERB
cana-1086	106	38	short	short	ADV
cana-1086	106	39	of	of	ADP
cana-1086	106	40	expectations	expectation	NOUN
cana-1086	106	41	and	and	CCONJ
cana-1086	106	42	offer	offer	VERB
cana-1086	106	43	unrelated	unrelated	ADJ
cana-1086	106	44	products	product	NOUN
cana-1086	106	45	or	or	CCONJ
cana-1086	106	46	information	information	NOUN
cana-1086	106	47	[	[	X
cana-1086	106	48	14	14	NUM
cana-1086	106	49	]	]	PUNCT
cana-1086	106	50	.	.	PUNCT
cana-1086	107	1	reduced	reduce	VERB
cana-1086	107	2	pleasure	pleasure	NOUN
cana-1086	107	3	and	and	CCONJ
cana-1086	107	4	a	a	DET
cana-1086	107	5	feeling	feeling	NOUN
cana-1086	107	6	of	of	ADP
cana-1086	107	7	being	be	AUX
cana-1086	107	8	neglected	neglect	VERB
cana-1086	107	9	can	can	AUX
cana-1086	107	10	result	result	VERB
cana-1086	107	11	from	from	ADP
cana-1086	107	12	this	this	DET
cana-1086	107	13	frustration	frustration	NOUN
cana-1086	107	14	with	with	ADP
cana-1086	107	15	the	the	DET
cana-1086	107	16	system	system	NOUN
cana-1086	107	17	’s	’s	PART
cana-1086	107	18	incapacity	incapacity	NOUN
cana-1086	107	19	to	to	PART
cana-1086	107	20	comprehend	comprehend	VERB
cana-1086	107	21	user	user	NOUN
cana-1086	107	22	choices	choice	NOUN
cana-1086	107	23	[	[	X
cana-1086	107	24	1	1	NUM
cana-1086	107	25	]	]	PUNCT
cana-1086	107	26	.	.	PUNCT
cana-1086	108	1	•	•	NUM
cana-1086	108	2	lack	lack	NOUN
cana-1086	108	3	of	of	ADP
cana-1086	108	4	discovery	discovery	NOUN
cana-1086	108	5	and	and	CCONJ
cana-1086	108	6	serendipity	serendipity	NOUN
cana-1086	108	7	:	:	PUNCT
cana-1086	108	8	excessive	excessive	ADJ
cana-1086	108	9	exposure	exposure	NOUN
cana-1086	108	10	to	to	ADP
cana-1086	108	11	a	a	DET
cana-1086	108	12	variety	variety	NOUN
cana-1086	108	13	of	of	ADP
cana-1086	108	14	potentially	potentially	ADV
cana-1086	108	15	fascinating	fascinating	ADJ
cana-1086	108	16	stuff	stuff	NOUN
cana-1086	108	17	can	can	AUX
cana-1086	108	18	result	result	VERB
cana-1086	108	19	from	from	ADP
cana-1086	108	20	biased	biased	ADJ
cana-1086	108	21	algorithms	algorithm	NOUN
cana-1086	108	22	that	that	PRON
cana-1086	108	23	favour	favour	VERB
cana-1086	108	24	popular	popular	ADJ
cana-1086	108	25	things	thing	NOUN
cana-1086	108	26	or	or	CCONJ
cana-1086	108	27	reinforce	reinforce	VERB
cana-1086	108	28	preexisting	preexist	VERB
cana-1086	108	29	preferences	preference	NOUN
cana-1086	108	30	[	[	X
cana-1086	108	31	17	17	NUM
cana-1086	108	32	]	]	PUNCT
cana-1086	108	33	.	.	PUNCT
cana-1086	109	1	it	it	PRON
cana-1086	109	2	can	can	AUX
cana-1086	109	3	also	also	ADV
cana-1086	109	4	make	make	VERB
cana-1086	109	5	user	user	NOUN
cana-1086	109	6	experiences	experience	NOUN
cana-1086	109	7	monotonous	monotonous	ADJ
cana-1086	109	8	and	and	CCONJ
cana-1086	109	9	predictable	predictable	ADJ
cana-1086	109	10	.	.	PUNCT
cana-1086	110	1	serendipity	serendipity	NOUN
cana-1086	110	2	is	be	AUX
cana-1086	110	3	the	the	DET
cana-1086	110	4	process	process	NOUN
cana-1086	110	5	by	by	ADP
cana-1086	110	6	which	which	PRON
cana-1086	110	7	wonderful	wonderful	ADJ
cana-1086	110	8	things	thing	NOUN
cana-1086	110	9	happen	happen	VERB
cana-1086	110	10	by	by	ADP
cana-1086	110	11	accident	accident	NOUN
cana-1086	110	12	.	.	PUNCT
cana-1086	111	1	•	•	NUM
cana-1086	111	2	loss	loss	NOUN
cana-1086	111	3	of	of	ADP
cana-1086	111	4	trust	trust	NOUN
cana-1086	111	5	and	and	CCONJ
cana-1086	111	6	disengagement	disengagement	NOUN
cana-1086	111	7	:	:	PUNCT
cana-1086	111	8	user	user	NOUN
cana-1086	111	9	confidence	confidence	NOUN
cana-1086	111	10	in	in	ADP
cana-1086	111	11	the	the	DET
cana-1086	111	12	system	system	NOUN
cana-1086	111	13	may	may	AUX
cana-1086	111	14	be	be	AUX
cana-1086	111	15	damaged	damage	VERB
cana-1086	111	16	by	by	ADP
cana-1086	111	17	frequently	frequently	ADV
cana-1086	111	18	receiving	receive	VERB
cana-1086	111	19	discriminating	discriminating	NOUN
cana-1086	111	20	or	or	CCONJ
cana-1086	111	21	irrelevant	irrelevant	ADJ
cana-1086	111	22	recommendations	recommendation	NOUN
cana-1086	111	23	[	[	X
cana-1086	111	24	15	15	NUM
cana-1086	111	25	]	]	PUNCT
cana-1086	111	26	.	.	PUNCT
cana-1086	112	1	consumers	consumer	NOUN
cana-1086	112	2	may	may	AUX
cana-1086	112	3	completely	completely	ADV
cana-1086	112	4	stop	stop	VERB
cana-1086	112	5	using	use	VERB
cana-1086	112	6	the	the	DET
cana-1086	112	7	platform	platform	NOUN
cana-1086	112	8	or	or	CCONJ
cana-1086	112	9	go	go	VERB
cana-1086	112	10	to	to	ADP
cana-1086	112	11	another	another	DET
cana-1086	112	12	one	one	NOUN
cana-1086	112	13	they	they	PRON
cana-1086	112	14	believe	believe	VERB
cana-1086	112	15	to	to	PART
cana-1086	112	16	be	be	AUX
cana-1086	112	17	more	more	ADV
cana-1086	112	18	objective[19	objective[19	NOUN
cana-1086	112	19	]	]	X
cana-1086	112	20	.	.	PUNCT
cana-1086	113	1	2	2	X
cana-1086	113	2	.	.	X
cana-1086	113	3	perpetuation	perpetuation	NOUN
cana-1086	113	4	of	of	ADP
cana-1086	113	5	social	social	ADJ
cana-1086	113	6	inequalities	inequality	NOUN
cana-1086	113	7	and	and	CCONJ
cana-1086	113	8	discrimination	discrimination	NOUN
cana-1086	113	9	:	:	PUNCT
cana-1086	113	10	•	•	NUM
cana-1086	113	11	amplification	amplification	NOUN
cana-1086	113	12	of	of	ADP
cana-1086	113	13	existing	exist	VERB
cana-1086	113	14	biases	bias	NOUN
cana-1086	113	15	:	:	PUNCT
cana-1086	113	16	social	social	ADJ
cana-1086	113	17	prejudices	prejudice	NOUN
cana-1086	113	18	in	in	ADP
cana-1086	113	19	the	the	DET
cana-1086	113	20	training	training	NOUN
cana-1086	113	21	data	data	NOUN
cana-1086	113	22	sets	set	NOUN
cana-1086	113	23	of	of	ADP
cana-1086	113	24	recommender	recommender	NOUN
cana-1086	113	25	systems	system	NOUN
cana-1086	113	26	have	have	VERB
cana-1086	113	27	the	the	DET
cana-1086	113	28	potential	potential	NOUN
cana-1086	113	29	to	to	PART
cana-1086	113	30	be	be	AUX
cana-1086	113	31	amplified	amplify	VERB
cana-1086	113	32	.	.	PUNCT
cana-1086	114	1	for	for	ADP
cana-1086	114	2	example	example	NOUN
cana-1086	114	3	,	,	PUNCT
cana-1086	114	4	racial	racial	ADJ
cana-1086	114	5	or	or	CCONJ
cana-1086	114	6	gender	gender	NOUN
cana-1086	114	7	biases	bias	NOUN
cana-1086	114	8	may	may	AUX
cana-1086	114	9	result	result	VERB
cana-1086	114	10	in	in	ADP
cana-1086	114	11	recommendations	recommendation	NOUN
cana-1086	114	12	that	that	PRON
cana-1086	114	13	limit	limit	VERB
cana-1086	114	14	opportunities	opportunity	NOUN
cana-1086	114	15	for	for	ADP
cana-1086	114	16	specific	specific	ADJ
cana-1086	114	17	user	user	NOUN
cana-1086	114	18	groups	group	NOUN
cana-1086	114	19	or	or	CCONJ
cana-1086	114	20	perpetuate	perpetuate	VERB
cana-1086	114	21	preconceptions	preconception	NOUN
cana-1086	114	22	[	[	X
cana-1086	114	23	13	13	NUM
cana-1086	114	24	]	]	PUNCT
cana-1086	114	25	.	.	PUNCT
cana-1086	115	1	this	this	PRON
cana-1086	115	2	may	may	AUX
cana-1086	115	3	make	make	VERB
cana-1086	115	4	already	already	ADV
cana-1086	115	5	-	-	PUNCT
cana-1086	115	6	existing	exist	VERB
cana-1086	115	7	socioeconomic	socioeconomic	ADJ
cana-1086	115	8	injustices	injustice	NOUN
cana-1086	115	9	worse	bad	ADJ
cana-1086	115	10	.	.	PUNCT
cana-1086	116	1	•	•	NUM
cana-1086	116	2	exclusion	exclusion	NOUN
cana-1086	116	3	and	and	CCONJ
cana-1086	116	4	filter	filter	NOUN
cana-1086	116	5	bubbles	bubble	NOUN
cana-1086	116	6	:	:	PUNCT
cana-1086	116	7	users	user	NOUN
cana-1086	116	8	may	may	AUX
cana-1086	116	9	be	be	AUX
cana-1086	116	10	excluded	exclude	VERB
cana-1086	116	11	from	from	ADP
cana-1086	116	12	pertinent	pertinent	ADJ
cana-1086	116	13	recommendations	recommendation	NOUN
cana-1086	116	14	due	due	ADP
cana-1086	116	15	to	to	ADP
cana-1086	116	16	biassed	biassed	ADJ
cana-1086	116	17	algorithms	algorithm	NOUN
cana-1086	116	18	,	,	PUNCT
cana-1086	116	19	or	or	CCONJ
cana-1086	116	20	they	they	PRON
cana-1086	116	21	may	may	AUX
cana-1086	116	22	be	be	AUX
cana-1086	116	23	kept	keep	VERB
cana-1086	116	24	in	in	ADP
cana-1086	116	25	“	"	PUNCT
cana-1086	116	26	filter	filter	NOUN
cana-1086	116	27	bubbles	bubble	NOUN
cana-1086	116	28	”	"	PUNCT
cana-1086	116	29	where	where	SCONJ
cana-1086	116	30	they	they	PRON
cana-1086	116	31	are	be	AUX
cana-1086	116	32	only	only	ADV
cana-1086	116	33	exposed	expose	VERB
cana-1086	116	34	to	to	ADP
cana-1086	116	35	information	information	NOUN
cana-1086	116	36	that	that	PRON
cana-1086	116	37	confirms	confirm	VERB
cana-1086	116	38	their	their	PRON
cana-1086	116	39	preexisting	preexist	VERB
cana-1086	116	40	opinions	opinion	NOUN
cana-1086	116	41	[	[	X
cana-1086	116	42	16	16	NUM
cana-1086	116	43	]	]	PUNCT
cana-1086	116	44	.	.	PUNCT
cana-1086	117	1	this	this	PRON
cana-1086	117	2	may	may	AUX
cana-1086	117	3	impede	impede	VERB
cana-1086	117	4	social	social	ADJ
cana-1086	117	5	mobility	mobility	NOUN
cana-1086	117	6	and	and	CCONJ
cana-1086	117	7	restrict	restrict	VERB
cana-1086	117	8	exposure	exposure	NOUN
cana-1086	117	9	to	to	ADP
cana-1086	117	10	a	a	DET
cana-1086	117	11	range	range	NOUN
cana-1086	117	12	of	of	ADP
cana-1086	117	13	viewpoints	viewpoint	NOUN
cana-1086	117	14	,	,	PUNCT
cana-1086	117	15	which	which	PRON
cana-1086	117	16	could	could	AUX
cana-1086	117	17	result	result	VERB
cana-1086	117	18	in	in	ADP
cana-1086	117	19	social	social	ADJ
cana-1086	117	20	polarisation	polarisation	NOUN
cana-1086	117	21	.	.	PUNCT
cana-1086	118	1	•	•	NUM
cana-1086	118	2	unfair	unfair	ADJ
cana-1086	118	3	access	access	NOUN
cana-1086	118	4	to	to	ADP
cana-1086	118	5	resources	resource	NOUN
cana-1086	118	6	and	and	CCONJ
cana-1086	118	7	opportunities	opportunity	NOUN
cana-1086	118	8	:	:	PUNCT
cana-1086	118	9	biased	biased	ADJ
cana-1086	118	10	algorithms	algorithm	NOUN
cana-1086	118	11	can	can	AUX
cana-1086	118	12	maintain	maintain	VERB
cana-1086	118	13	prejudice	prejudice	NOUN
cana-1086	118	14	and	and	CCONJ
cana-1086	118	15	restrict	restrict	VERB
cana-1086	118	16	access	access	NOUN
cana-1086	118	17	to	to	ADP
cana-1086	118	18	resources	resource	NOUN
cana-1086	118	19	for	for	ADP
cana-1086	118	20	specific	specific	ADJ
cana-1086	118	21	groups	group	NOUN
cana-1086	118	22	in	in	ADP
cana-1086	118	23	crucial	crucial	ADJ
cana-1086	118	24	domains	domain	NOUN
cana-1086	118	25	such	such	ADJ
cana-1086	118	26	as	as	ADP
cana-1086	118	27	loan	loan	NOUN
cana-1086	118	28	approvals	approval	NOUN
cana-1086	118	29	or	or	CCONJ
cana-1086	118	30	employment	employment	NOUN
cana-1086	118	31	recommendations	recommendation	NOUN
cana-1086	118	32	[	[	X
cana-1086	118	33	7	7	NUM
cana-1086	118	34	]	]	PUNCT
cana-1086	118	35	.	.	PUNCT
cana-1086	119	1	this	this	PRON
cana-1086	119	2	can	can	AUX
cana-1086	119	3	impede	impede	VERB
cana-1086	119	4	equal	equal	ADJ
cana-1086	119	5	opportunity	opportunity	NOUN
cana-1086	119	6	and	and	CCONJ
cana-1086	119	7	have	have	VERB
cana-1086	119	8	a	a	DET
cana-1086	119	9	major	major	ADJ
cana-1086	119	10	detrimental	detrimental	ADJ
cana-1086	119	11	effect	effect	NOUN
cana-1086	119	12	on	on	ADP
cana-1086	119	13	people	people	NOUN
cana-1086	119	14	.	.	PUNCT
cana-1086	120	1	3	3	X
cana-1086	120	2	.	.	NUM
cana-1086	120	3	limited	limited	ADJ
cana-1086	120	4	exposure	exposure	NOUN
cana-1086	120	5	to	to	ADP
cana-1086	120	6	diverse	diverse	ADJ
cana-1086	120	7	content	content	NOUN
cana-1086	120	8	and	and	CCONJ
cana-1086	120	9	viewpoints	viewpoint	NOUN
cana-1086	120	10	:	:	PUNCT
cana-1086	120	11	•	•	NUM
cana-1086	120	12	echo	echo	NOUN
cana-1086	120	13	chambers	chamber	NOUN
cana-1086	120	14	and	and	CCONJ
cana-1086	120	15	confirmation	confirmation	NOUN
cana-1086	120	16	bias	bias	NOUN
cana-1086	120	17	:	:	PUNCT
cana-1086	120	18	users	user	NOUN
cana-1086	120	19	who	who	PRON
cana-1086	120	20	are	be	AUX
cana-1086	120	21	largely	largely	ADV
cana-1086	120	22	exposed	expose	VERB
cana-1086	120	23	to	to	ADP
cana-1086	120	24	content	content	NOUN
cana-1086	120	25	that	that	PRON
cana-1086	120	26	supports	support	VERB
cana-1086	120	27	their	their	PRON
cana-1086	120	28	preexisting	preexist	VERB
cana-1086	120	29	ideas	idea	NOUN
cana-1086	120	30	may	may	AUX
cana-1086	120	31	find	find	VERB
cana-1086	120	32	themselves	themselves	PRON
cana-1086	120	33	in	in	ADP
cana-1086	120	34	“	"	PUNCT
cana-1086	120	35	echo	echo	NOUN
cana-1086	120	36	chambers	chamber	NOUN
cana-1086	120	37	”	"	PUNCT
cana-1086	120	38	caused	cause	VERB
cana-1086	120	39	by	by	ADP
cana-1086	120	40	biased	biased	ADJ
cana-1086	120	41	recommender	recommender	NOUN
cana-1086	120	42	systems	system	NOUN
cana-1086	120	43	[	[	X
cana-1086	120	44	17	17	NUM
cana-1086	120	45	]	]	PUNCT
cana-1086	120	46	.	.	PUNCT
cana-1086	121	1	this	this	PRON
cana-1086	121	2	may	may	AUX
cana-1086	121	3	restrict	restrict	VERB
cana-1086	121	4	their	their	PRON
cana-1086	121	5	exposure	exposure	NOUN
cana-1086	121	6	to	to	ADP
cana-1086	121	7	contrasting	contrast	VERB
cana-1086	121	8	ideas	idea	NOUN
cana-1086	121	9	and	and	CCONJ
cana-1086	121	10	impede	impede	VERB
cana-1086	121	11	their	their	PRON
cana-1086	121	12	ability	ability	NOUN
cana-1086	121	13	to	to	PART
cana-1086	121	14	critically	critically	ADV
cana-1086	121	15	analyse	analyse	VERB
cana-1086	121	16	and	and	CCONJ
cana-1086	121	17	make	make	VERB
cana-1086	121	18	well	well	ADV
cana-1086	121	19	informed	inform	VERB
cana-1086	121	20	decisions	decision	NOUN
cana-1086	121	21	.	.	PUNCT
cana-1086	122	1	communications	communication	NOUN
cana-1086	122	2	on	on	ADP
cana-1086	122	3	applied	apply	VERB
cana-1086	122	4	nonlinear	nonlinear	ADJ
cana-1086	122	5	analysis	analysis	NOUN
cana-1086	122	6	issn	issn	NOUN
cana-1086	122	7	:	:	PUNCT
cana-1086	122	8	1074	1074	NUM
cana-1086	122	9	-	-	PUNCT
cana-1086	122	10	133x	133x	NUM
cana-1086	122	11	vol	vol	NOUN
cana-1086	122	12	31	31	NUM
cana-1086	122	13	no	no	NOUN
cana-1086	122	14	.	.	PUNCT
cana-1086	123	1	5s	5s	NUM
cana-1086	123	2	(	(	PUNCT
cana-1086	123	3	2024	2024	NUM
cana-1086	123	4	)	)	PUNCT
cana-1086	123	5	513	513	NUM
cana-1086	123	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1086	123	7	•	•	NUM
cana-1086	123	8	reduced	reduce	VERB
cana-1086	123	9	knowledge	knowledge	NOUN
cana-1086	123	10	and	and	CCONJ
cana-1086	123	11	understanding	understanding	NOUN
cana-1086	123	12	:	:	PUNCT
cana-1086	123	13	a	a	DET
cana-1086	123	14	user	user	NOUN
cana-1086	123	15	’s	’s	PART
cana-1086	123	16	capacity	capacity	NOUN
cana-1086	123	17	to	to	PART
cana-1086	123	18	learn	learn	VERB
cana-1086	123	19	about	about	ADP
cana-1086	123	20	new	new	ADJ
cana-1086	123	21	subjects	subject	NOUN
cana-1086	123	22	and	and	CCONJ
cana-1086	123	23	comprehend	comprehend	VERB
cana-1086	123	24	various	various	ADJ
cana-1086	123	25	points	point	NOUN
cana-1086	123	26	of	of	ADP
cana-1086	123	27	view	view	NOUN
cana-1086	123	28	may	may	AUX
cana-1086	123	29	be	be	AUX
cana-1086	123	30	hampered	hamper	VERB
cana-1086	123	31	by	by	ADP
cana-1086	123	32	limited	limited	ADJ
cana-1086	123	33	exposure	exposure	NOUN
cana-1086	123	34	to	to	PART
cana-1086	123	35	diverse	diverse	ADJ
cana-1086	123	36	content	content	NOUN
cana-1086	123	37	[	[	X
cana-1086	123	38	18	18	NUM
cana-1086	123	39	]	]	PUNCT
cana-1086	123	40	.	.	PUNCT
cana-1086	124	1	this	this	PRON
cana-1086	124	2	may	may	AUX
cana-1086	124	3	impede	impede	VERB
cana-1086	124	4	intellectual	intellectual	ADJ
cana-1086	124	5	development	development	NOUN
cana-1086	124	6	and	and	CCONJ
cana-1086	124	7	result	result	VERB
cana-1086	124	8	in	in	ADP
cana-1086	124	9	a	a	DET
cana-1086	124	10	lack	lack	NOUN
cana-1086	124	11	of	of	ADP
cana-1086	124	12	well	well	ADV
cana-1086	124	13	-	-	PUNCT
cana-1086	124	14	rounded	rounded	ADJ
cana-1086	124	15	knowledge	knowledge	NOUN
cana-1086	124	16	.	.	PUNCT
cana-1086	125	1	•	•	NUM
cana-1086	125	2	reduced	reduce	VERB
cana-1086	125	3	openness	openness	NOUN
cana-1086	125	4	and	and	CCONJ
cana-1086	125	5	tolerance	tolerance	NOUN
cana-1086	125	6	:	:	PUNCT
cana-1086	125	7	reduced	reduce	VERB
cana-1086	125	8	tolerance	tolerance	NOUN
cana-1086	125	9	for	for	ADP
cana-1086	125	10	opposing	oppose	VERB
cana-1086	125	11	ideas	idea	NOUN
cana-1086	125	12	and	and	CCONJ
cana-1086	125	13	openness	openness	NOUN
cana-1086	125	14	to	to	ADP
cana-1086	125	15	new	new	ADJ
cana-1086	125	16	ones	one	NOUN
cana-1086	125	17	can	can	AUX
cana-1086	125	18	result	result	VERB
cana-1086	125	19	from	from	ADP
cana-1086	125	20	a	a	DET
cana-1086	125	21	continual	continual	ADJ
cana-1086	125	22	barrage	barrage	NOUN
cana-1086	125	23	of	of	ADP
cana-1086	125	24	information	information	NOUN
cana-1086	125	25	that	that	PRON
cana-1086	125	26	supports	support	VERB
cana-1086	125	27	preexisting	preexist	VERB
cana-1086	125	28	beliefs	belief	NOUN
cana-1086	126	1	[	[	X
cana-1086	126	2	20	20	NUM
cana-1086	126	3	]	]	PUNCT
cana-1086	126	4	.	.	PUNCT
cana-1086	127	1	this	this	PRON
cana-1086	127	2	could	could	AUX
cana-1086	127	3	stifle	stifle	VERB
cana-1086	127	4	fruitful	fruitful	ADJ
cana-1086	127	5	discussion	discussion	NOUN
cana-1086	127	6	and	and	CCONJ
cana-1086	127	7	deepen	deepen	VERB
cana-1086	127	8	social	social	ADJ
cana-1086	127	9	division	division	NOUN
cana-1086	127	10	.	.	PUNCT
cana-1086	128	1	figure	figure	VERB
cana-1086	128	2	4	4	NUM
cana-1086	128	3	:	:	PUNCT
cana-1086	128	4	impact	impact	NOUN
cana-1086	128	5	of	of	ADP
cana-1086	128	6	bias	bias	NOUN
cana-1086	128	7	in	in	ADP
cana-1086	128	8	recommender	recommender	NOUN
cana-1086	128	9	systems	system	NOUN
cana-1086	128	10	the	the	DET
cana-1086	128	11	figure	figure	NOUN
cana-1086	128	12	4	4	NUM
cana-1086	128	13	illustrates	illustrate	VERB
cana-1086	128	14	the	the	DET
cana-1086	128	15	key	key	ADJ
cana-1086	128	16	factors	factor	NOUN
cana-1086	128	17	that	that	PRON
cana-1086	128	18	contribute	contribute	VERB
cana-1086	128	19	to	to	PART
cana-1086	128	20	bias	bias	VERB
cana-1086	128	21	in	in	ADP
cana-1086	128	22	recommender	recommender	NOUN
cana-1086	128	23	systems	system	NOUN
cana-1086	128	24	(	(	PUNCT
cana-1086	128	25	data	datum	NOUN
cana-1086	128	26	source	source	NOUN
cana-1086	128	27	,	,	PUNCT
cana-1086	128	28	algorithmic	algorithmic	ADJ
cana-1086	128	29	choices	choice	NOUN
cana-1086	128	30	)	)	PUNCT
cana-1086	128	31	and	and	CCONJ
cana-1086	128	32	their	their	PRON
cana-1086	128	33	potential	potential	ADJ
cana-1086	128	34	consequences	consequence	NOUN
cana-1086	128	35	on	on	ADP
cana-1086	128	36	user	user	NOUN
cana-1086	128	37	experience	experience	NOUN
cana-1086	128	38	(	(	PUNCT
cana-1086	128	39	reduced	reduced	ADJ
cana-1086	128	40	satisfaction	satisfaction	NOUN
cana-1086	128	41	)	)	PUNCT
cana-1086	128	42	and	and	CCONJ
cana-1086	128	43	social	social	ADJ
cana-1086	128	44	aspects	aspect	NOUN
cana-1086	128	45	(	(	PUNCT
cana-1086	128	46	inequalities	inequality	NOUN
cana-1086	128	47	,	,	PUNCT
cana-1086	128	48	discrimination	discrimination	NOUN
cana-1086	128	49	,	,	PUNCT
cana-1086	128	50	and	and	CCONJ
cana-1086	128	51	limited	limited	ADJ
cana-1086	128	52	exposure	exposure	NOUN
cana-1086	128	53	to	to	ADP
cana-1086	128	54	diversity	diversity	NOUN
cana-1086	128	55	)	)	PUNCT
cana-1086	128	56	.	.	PUNCT
cana-1086	129	1	these	these	DET
cana-1086	129	2	potential	potential	ADJ
cana-1086	129	3	consequences	consequence	NOUN
cana-1086	129	4	highlight	highlight	VERB
cana-1086	129	5	the	the	DET
cana-1086	129	6	importance	importance	NOUN
cana-1086	129	7	of	of	ADP
cana-1086	129	8	mitigating	mitigate	VERB
cana-1086	129	9	bias	bias	NOUN
cana-1086	129	10	in	in	ADP
cana-1086	129	11	recommender	recommender	NOUN
cana-1086	129	12	systems	system	NOUN
cana-1086	129	13	.	.	PUNCT
cana-1086	130	1	by	by	ADP
cana-1086	130	2	promoting	promote	VERB
cana-1086	130	3	fairness	fairness	NOUN
cana-1086	130	4	and	and	CCONJ
cana-1086	130	5	inclusivity	inclusivity	NOUN
cana-1086	130	6	,	,	PUNCT
cana-1086	130	7	we	we	PRON
cana-1086	130	8	can	can	AUX
cana-1086	130	9	ensure	ensure	VERB
cana-1086	130	10	these	these	DET
cana-1086	130	11	powerful	powerful	ADJ
cana-1086	130	12	tools	tool	NOUN
cana-1086	130	13	enhance	enhance	VERB
cana-1086	130	14	user	user	NOUN
cana-1086	130	15	experience	experience	NOUN
cana-1086	130	16	,	,	PUNCT
cana-1086	130	17	contribute	contribute	VERB
cana-1086	130	18	to	to	ADP
cana-1086	130	19	a	a	DET
cana-1086	130	20	more	more	ADV
cana-1086	130	21	equitable	equitable	ADJ
cana-1086	130	22	and	and	CCONJ
cana-1086	130	23	informed	informed	ADJ
cana-1086	130	24	society	society	NOUN
cana-1086	130	25	,	,	PUNCT
cana-1086	130	26	and	and	CCONJ
cana-1086	130	27	avoid	avoid	VERB
cana-1086	130	28	the	the	DET
cana-1086	130	29	pitfalls	pitfall	NOUN
cana-1086	130	30	outlined	outline	VERB
cana-1086	130	31	by	by	ADP
cana-1086	130	32	researchers	researcher	NOUN
cana-1086	130	33	like	like	ADP
cana-1086	130	34	[	[	X
cana-1086	130	35	14],[1	14],[1	NUM
cana-1086	130	36	]	]	PUNCT
cana-1086	130	37	,	,	PUNCT
cana-1086	130	38	[	[	X
cana-1086	130	39	17	17	NUM
cana-1086	130	40	]	]	PUNCT
cana-1086	130	41	,	,	PUNCT
cana-1086	130	42	and	and	CCONJ
cana-1086	130	43	[	[	X
cana-1086	130	44	15	15	NUM
cana-1086	130	45	]	]	SYM
cana-1086	130	46	.	.	PUNCT
cana-1086	131	1	5	5	X
cana-1086	131	2	.	.	NOUN
cana-1086	131	3	approaches	approach	NOUN
cana-1086	131	4	to	to	ADP
cana-1086	131	5	fair	fair	ADJ
cana-1086	131	6	recommendation	recommendation	NOUN
cana-1086	131	7	systems	system	NOUN
cana-1086	131	8	the	the	DET
cana-1086	131	9	potential	potential	ADJ
cana-1086	131	10	pitfalls	pitfall	NOUN
cana-1086	131	11	of	of	ADP
cana-1086	131	12	bias	bias	NOUN
cana-1086	131	13	in	in	ADP
cana-1086	131	14	recommender	recommender	NOUN
cana-1086	131	15	systems	system	NOUN
cana-1086	131	16	necessitate	necessitate	ADJ
cana-1086	131	17	the	the	DET
cana-1086	131	18	development	development	NOUN
cana-1086	131	19	of	of	ADP
cana-1086	131	20	fair	fair	ADJ
cana-1086	131	21	and	and	CCONJ
cana-1086	131	22	inclusive	inclusive	ADJ
cana-1086	131	23	algorithms	algorithm	NOUN
cana-1086	131	24	.	.	PUNCT
cana-1086	132	1	researchers	researcher	NOUN
cana-1086	132	2	have	have	AUX
cana-1086	132	3	explored	explore	VERB
cana-1086	132	4	various	various	ADJ
cana-1086	132	5	approaches	approach	NOUN
cana-1086	132	6	to	to	PART
cana-1086	132	7	mitigate	mitigate	VERB
cana-1086	132	8	bias	bias	NOUN
cana-1086	132	9	and	and	CCONJ
cana-1086	132	10	promote	promote	VERB
cana-1086	132	11	fairness	fairness	NOUN
cana-1086	132	12	in	in	ADP
cana-1086	132	13	recommendations	recommendation	NOUN
cana-1086	132	14	.	.	PUNCT
cana-1086	133	1	here	here	ADV
cana-1086	133	2	,	,	PUNCT
cana-1086	133	3	we	we	PRON
cana-1086	133	4	delve	delve	VERB
cana-1086	133	5	into	into	ADP
cana-1086	133	6	some	some	DET
cana-1086	133	7	key	key	ADJ
cana-1086	133	8	strategies	strategy	NOUN
cana-1086	133	9	,	,	PUNCT
cana-1086	133	10	drawing	draw	VERB
cana-1086	133	11	insights	insight	NOUN
cana-1086	133	12	from	from	ADP
cana-1086	133	13	relevant	relevant	ADJ
cana-1086	133	14	research	research	NOUN
cana-1086	133	15	:	:	PUNCT
cana-1086	133	16	1	1	X
cana-1086	133	17	.	.	X
cana-1086	133	18	debiasing	debiase	VERB
cana-1086	133	19	techniques	technique	NOUN
cana-1086	133	20	:	:	PUNCT
cana-1086	133	21	this	this	DET
cana-1086	133	22	approach	approach	NOUN
cana-1086	133	23	focuses	focus	VERB
cana-1086	133	24	on	on	ADP
cana-1086	133	25	identifying	identify	VERB
cana-1086	133	26	and	and	CCONJ
cana-1086	133	27	removing	remove	VERB
cana-1086	133	28	biases	bias	NOUN
cana-1086	133	29	from	from	ADP
cana-1086	133	30	the	the	DET
cana-1086	133	31	data	datum	NOUN
cana-1086	133	32	or	or	CCONJ
cana-1086	133	33	within	within	ADP
cana-1086	133	34	the	the	DET
cana-1086	133	35	algorithm	algorithm	NOUN
cana-1086	133	36	itself	itself	PRON
cana-1086	133	37	.	.	PUNCT
cana-1086	134	1	here	here	ADV
cana-1086	134	2	are	be	AUX
cana-1086	134	3	some	some	DET
cana-1086	134	4	key	key	ADJ
cana-1086	134	5	techniques	technique	NOUN
cana-1086	134	6	:	:	PUNCT
cana-1086	134	7	•	•	NUM
cana-1086	134	8	data	datum	NOUN
cana-1086	134	9	preprocessing	preprocessing	NOUN
cana-1086	134	10	:	:	PUNCT
cana-1086	134	11	biased	biased	ADJ
cana-1086	134	12	entries	entry	NOUN
cana-1086	134	13	can	can	AUX
cana-1086	134	14	be	be	AUX
cana-1086	134	15	found	find	VERB
cana-1086	134	16	and	and	CCONJ
cana-1086	134	17	eliminated	eliminate	VERB
cana-1086	134	18	from	from	ADP
cana-1086	134	19	the	the	DET
cana-1086	134	20	training	training	NOUN
cana-1086	134	21	data	datum	NOUN
cana-1086	134	22	using	use	VERB
cana-1086	134	23	methods	method	NOUN
cana-1086	134	24	like	like	ADP
cana-1086	134	25	data	datum	NOUN
cana-1086	134	26	cleaning	cleaning	NOUN
cana-1086	134	27	and	and	CCONJ
cana-1086	134	28	filtering	filtering	NOUN
cana-1086	134	29	.	.	PUNCT
cana-1086	135	1	if	if	SCONJ
cana-1086	135	2	a	a	DET
cana-1086	135	3	user	user	NOUN
cana-1086	135	4	’s	’s	PART
cana-1086	135	5	gender	gender	NOUN
cana-1086	135	6	or	or	CCONJ
cana-1086	135	7	race	race	NOUN
cana-1086	135	8	is	be	AUX
cana-1086	135	9	not	not	PART
cana-1086	135	10	directly	directly	ADV
cana-1086	135	11	related	relate	VERB
cana-1086	135	12	to	to	ADP
cana-1086	135	13	the	the	DET
cana-1086	135	14	recommendation	recommendation	NOUN
cana-1086	135	15	task	task	NOUN
cana-1086	135	16	,	,	PUNCT
cana-1086	135	17	this	this	PRON
cana-1086	135	18	could	could	AUX
cana-1086	135	19	entail	entail	VERB
cana-1086	135	20	removing	remove	VERB
cana-1086	135	21	user	user	NOUN
cana-1086	135	22	attributes	attribute	NOUN
cana-1086	135	23	that	that	PRON
cana-1086	135	24	are	be	AUX
cana-1086	135	25	known	know	VERB
cana-1086	135	26	to	to	PART
cana-1086	135	27	be	be	AUX
cana-1086	135	28	associated	associate	VERB
cana-1086	135	29	with	with	ADP
cana-1086	135	30	bias	bias	NOUN
cana-1086	135	31	[	[	X
cana-1086	135	32	7	7	NUM
cana-1086	135	33	]	]	PUNCT
cana-1086	135	34	.	.	PUNCT
cana-1086	136	1	to	to	PART
cana-1086	136	2	prevent	prevent	VERB
cana-1086	136	3	overcorrection	overcorrection	NOUN
cana-1086	136	4	and	and	CCONJ
cana-1086	136	5	unexpected	unexpected	ADJ
cana-1086	136	6	outcomes	outcome	NOUN
cana-1086	136	7	,	,	PUNCT
cana-1086	136	8	however	however	ADV
cana-1086	136	9	,	,	PUNCT
cana-1086	136	10	prudence	prudence	NOUN
cana-1086	136	11	is	be	AUX
cana-1086	136	12	required	require	VERB
cana-1086	136	13	[	[	X
cana-1086	136	14	21	21	NUM
cana-1086	136	15	]	]	PUNCT
cana-1086	136	16	.	.	PUNCT
cana-1086	137	1	•	•	NUM
cana-1086	137	2	fairness	fairness	NOUN
cana-1086	137	3	-	-	PUNCT
cana-1086	137	4	aware	aware	ADJ
cana-1086	137	5	data	datum	NOUN
cana-1086	137	6	augmentation	augmentation	NOUN
cana-1086	137	7	:	:	PUNCT
cana-1086	137	8	fairness	fairness	NOUN
cana-1086	137	9	can	can	AUX
cana-1086	137	10	be	be	AUX
cana-1086	137	11	increased	increase	VERB
cana-1086	137	12	by	by	ADP
cana-1086	137	13	creating	create	VERB
cana-1086	137	14	data	datum	NOUN
cana-1086	137	15	points	point	NOUN
cana-1086	137	16	artificially	artificially	ADV
cana-1086	137	17	to	to	PART
cana-1086	137	18	offset	offset	VERB
cana-1086	137	19	imbalances	imbalance	NOUN
cana-1086	137	20	or	or	CCONJ
cana-1086	137	21	underrepresentation	underrepresentation	NOUN
cana-1086	137	22	in	in	ADP
cana-1086	137	23	the	the	DET
cana-1086	137	24	training	training	NOUN
cana-1086	137	25	set	set	NOUN
cana-1086	137	26	.	.	PUNCT
cana-1086	138	1	this	this	PRON
cana-1086	138	2	can	can	AUX
cana-1086	138	3	be	be	AUX
cana-1086	138	4	accomplished	accomplish	VERB
cana-1086	138	5	by	by	ADP
cana-1086	138	6	using	use	VERB
cana-1086	138	7	methods	method	NOUN
cana-1086	138	8	such	such	ADJ
cana-1086	138	9	as	as	ADP
cana-1086	138	10	creating	create	VERB
cana-1086	138	11	artificial	artificial	ADJ
cana-1086	138	12	users	user	NOUN
cana-1086	138	13	with	with	ADP
cana-1086	138	14	demographic	demographic	ADJ
cana-1086	138	15	profiles	profile	NOUN
cana-1086	138	16	that	that	PRON
cana-1086	138	17	are	be	AUX
cana-1086	138	18	balanced	balance	VERB
cana-1086	138	19	[	[	X
cana-1086	138	20	1	1	NUM
cana-1086	138	21	]	]	PUNCT
cana-1086	138	22	.	.	PUNCT
cana-1086	139	1	•	•	NUM
cana-1086	139	2	algorithmic	algorithmic	ADJ
cana-1086	139	3	debiasing	debiasing	NOUN
cana-1086	139	4	:	:	PUNCT
cana-1086	139	5	modifying	modify	VERB
cana-1086	139	6	the	the	DET
cana-1086	139	7	recommendation	recommendation	NOUN
cana-1086	139	8	algorithms	algorithm	NOUN
cana-1086	139	9	themselves	themselves	PRON
cana-1086	139	10	to	to	PART
cana-1086	139	11	be	be	AUX
cana-1086	139	12	less	less	ADV
cana-1086	139	13	susceptible	susceptible	ADJ
cana-1086	139	14	to	to	ADP
cana-1086	139	15	bias	bias	NOUN
cana-1086	139	16	.	.	PUNCT
cana-1086	140	1	this	this	PRON
cana-1086	140	2	could	could	AUX
cana-1086	140	3	involve	involve	VERB
cana-1086	140	4	techniques	technique	NOUN
cana-1086	140	5	like	like	ADP
cana-1086	140	6	counterfactual	counterfactual	ADJ
cana-1086	140	7	fairness	fairness	NOUN
cana-1086	140	8	,	,	PUNCT
cana-1086	140	9	where	where	SCONJ
cana-1086	140	10	the	the	DET
cana-1086	140	11	algorithm	algorithm	NOUN
cana-1086	140	12	considers	consider	VERB
cana-1086	140	13	how	how	SCONJ
cana-1086	140	14	a	a	DET
cana-1086	140	15	recommendation	recommendation	NOUN
cana-1086	140	16	for	for	ADP
cana-1086	140	17	a	a	DET
cana-1086	140	18	similar	similar	ADJ
cana-1086	140	19	user	user	NOUN
cana-1086	140	20	from	from	ADP
cana-1086	140	21	a	a	DET
cana-1086	140	22	different	different	ADJ
cana-1086	140	23	demographic	demographic	ADJ
cana-1086	140	24	group	group	NOUN
cana-1086	140	25	might	might	AUX
cana-1086	140	26	differ	differ	VERB
cana-1086	140	27	[	[	X
cana-1086	140	28	22	22	NUM
cana-1086	140	29	]	]	PUNCT
cana-1086	140	30	.	.	PUNCT
cana-1086	141	1	for	for	SCONJ
cana-1086	141	2	communications	communication	NOUN
cana-1086	141	3	on	on	ADP
cana-1086	141	4	applied	apply	VERB
cana-1086	141	5	nonlinear	nonlinear	ADJ
cana-1086	141	6	analysis	analysis	NOUN
cana-1086	141	7	issn	issn	NOUN
cana-1086	141	8	:	:	PUNCT
cana-1086	141	9	1074	1074	NUM
cana-1086	141	10	-	-	PUNCT
cana-1086	141	11	133x	133x	NUM
cana-1086	141	12	vol	vol	NOUN
cana-1086	141	13	31	31	NUM
cana-1086	141	14	no	no	NOUN
cana-1086	141	15	.	.	PUNCT
cana-1086	142	1	5s	5s	NUM
cana-1086	142	2	(	(	PUNCT
cana-1086	142	3	2024	2024	NUM
cana-1086	142	4	)	)	PUNCT
cana-1086	142	5	514	514	NUM
cana-1086	142	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1086	142	7	instance	instance	NOUN
cana-1086	142	8	,	,	PUNCT
cana-1086	142	9	in	in	ADP
cana-1086	142	10	a	a	DET
cana-1086	142	11	job	job	NOUN
cana-1086	142	12	recommendation	recommendation	NOUN
cana-1086	142	13	system	system	NOUN
cana-1086	142	14	,	,	PUNCT
cana-1086	142	15	a	a	DET
cana-1086	142	16	debiased	debiase	VERB
cana-1086	142	17	algorithm	algorithm	NOUN
cana-1086	142	18	might	might	AUX
cana-1086	142	19	prioritize	prioritize	VERB
cana-1086	142	20	skills	skill	NOUN
cana-1086	142	21	and	and	CCONJ
cana-1086	142	22	experience	experience	NOUN
cana-1086	142	23	over	over	ADP
cana-1086	142	24	gender	gender	NOUN
cana-1086	142	25	when	when	SCONJ
cana-1086	142	26	suggesting	suggest	VERB
cana-1086	142	27	suitable	suitable	ADJ
cana-1086	142	28	candidates	candidate	NOUN
cana-1086	142	29	.	.	PUNCT
cana-1086	143	1	•	•	NOUN
cana-1086	143	2	debiasing	debiase	VERB
cana-1086	143	3	with	with	ADP
cana-1086	143	4	counterfactual	counterfactual	ADJ
cana-1086	143	5	:	:	PUNCT
cana-1086	143	6	a	a	DET
cana-1086	143	7	recent	recent	ADJ
cana-1086	143	8	approach	approach	NOUN
cana-1086	143	9	[	[	X
cana-1086	143	10	23	23	NUM
cana-1086	143	11	]	]	PUNCT
cana-1086	143	12	introduces	introduce	VERB
cana-1086	143	13	counterfactual	counterfactual	ADJ
cana-1086	143	14	explanations	explanation	NOUN
cana-1086	143	15	for	for	ADP
cana-1086	143	16	fairness	fairness	NOUN
cana-1086	143	17	in	in	ADP
cana-1086	143	18	recommender	recommender	NOUN
cana-1086	143	19	systems	system	NOUN
cana-1086	143	20	.	.	PUNCT
cana-1086	144	1	this	this	DET
cana-1086	144	2	method	method	NOUN
cana-1086	144	3	focuses	focus	VERB
cana-1086	144	4	on	on	ADP
cana-1086	144	5	identifying	identify	VERB
cana-1086	144	6	attribute	attribute	NOUN
cana-1086	144	7	-	-	PUNCT
cana-1086	144	8	level	level	NOUN
cana-1086	144	9	explanations	explanation	NOUN
cana-1086	144	10	for	for	ADP
cana-1086	144	11	potential	potential	ADJ
cana-1086	144	12	bias	bias	NOUN
cana-1086	144	13	in	in	ADP
cana-1086	144	14	recommendations	recommendation	NOUN
cana-1086	144	15	.	.	PUNCT
cana-1086	145	1	it	it	PRON
cana-1086	145	2	utilizes	utilize	VERB
cana-1086	145	3	heterogeneous	heterogeneous	ADJ
cana-1086	145	4	information	information	NOUN
cana-1086	145	5	networks	network	NOUN
cana-1086	145	6	(	(	PUNCT
cana-1086	145	7	hins	hin	NOUN
cana-1086	145	8	)	)	PUNCT
cana-1086	145	9	to	to	PART
cana-1086	145	10	represent	represent	VERB
cana-1086	145	11	user	user	NOUN
cana-1086	145	12	attributes	attribute	NOUN
cana-1086	145	13	and	and	CCONJ
cana-1086	145	14	their	their	PRON
cana-1086	145	15	relationships	relationship	NOUN
cana-1086	145	16	,	,	PUNCT
cana-1086	145	17	enabling	enable	VERB
cana-1086	145	18	the	the	DET
cana-1086	145	19	consideration	consideration	NOUN
cana-1086	145	20	of	of	ADP
cana-1086	145	21	discrete	discrete	ADJ
cana-1086	145	22	attributes	attribute	NOUN
cana-1086	145	23	like	like	ADP
cana-1086	145	24	gender	gender	NOUN
cana-1086	145	25	or	or	CCONJ
cana-1086	145	26	location	location	NOUN
cana-1086	145	27	.	.	PUNCT
cana-1086	146	1	the	the	DET
cana-1086	146	2	paper	paper	NOUN
cana-1086	146	3	leverages	leverage	VERB
cana-1086	146	4	off	off	ADP
cana-1086	146	5	-	-	PUNCT
cana-1086	146	6	policy	policy	NOUN
cana-1086	146	7	reinforcement	reinforcement	NOUN
cana-1086	146	8	learning	learning	NOUN
cana-1086	146	9	to	to	PART
cana-1086	146	10	identify	identify	VERB
cana-1086	146	11	the	the	DET
cana-1086	146	12	most	most	ADV
cana-1086	146	13	impactful	impactful	ADJ
cana-1086	146	14	attribute	attribute	NOUN
cana-1086	146	15	changes	change	NOUN
cana-1086	146	16	for	for	ADP
cana-1086	146	17	improving	improve	VERB
cana-1086	146	18	fairness	fairness	NOUN
cana-1086	146	19	.	.	PUNCT
cana-1086	147	1	by	by	ADP
cana-1086	147	2	explaining	explain	VERB
cana-1086	147	3	how	how	SCONJ
cana-1086	147	4	a	a	DET
cana-1086	147	5	recommendation	recommendation	NOUN
cana-1086	147	6	might	might	AUX
cana-1086	147	7	differ	differ	VERB
cana-1086	147	8	if	if	SCONJ
cana-1086	147	9	a	a	DET
cana-1086	147	10	user	user	NOUN
cana-1086	147	11	belonged	belong	VERB
cana-1086	147	12	to	to	ADP
cana-1086	147	13	a	a	DET
cana-1086	147	14	different	different	ADJ
cana-1086	147	15	demographic	demographic	ADJ
cana-1086	147	16	group	group	NOUN
cana-1086	147	17	,	,	PUNCT
cana-1086	147	18	this	this	DET
cana-1086	147	19	approach	approach	NOUN
cana-1086	147	20	enhances	enhance	VERB
cana-1086	147	21	transparency	transparency	NOUN
cana-1086	147	22	and	and	CCONJ
cana-1086	147	23	facilitates	facilitate	VERB
cana-1086	147	24	human	human	ADJ
cana-1086	147	25	oversight	oversight	NOUN
cana-1086	147	26	.	.	PUNCT
cana-1086	148	1	2	2	X
cana-1086	148	2	.	.	X
cana-1086	148	3	fairness	fairness	NOUN
cana-1086	148	4	-	-	PUNCT
cana-1086	148	5	aware	aware	ADJ
cana-1086	148	6	metrics	metric	NOUN
cana-1086	148	7	:	:	PUNCT
cana-1086	148	8	traditional	traditional	ADJ
cana-1086	148	9	recommender	recommender	NOUN
cana-1086	148	10	system	system	NOUN
cana-1086	148	11	evaluation	evaluation	NOUN
cana-1086	148	12	relies	rely	VERB
cana-1086	148	13	heavily	heavily	ADV
cana-1086	148	14	on	on	ADP
cana-1086	148	15	accuracy	accuracy	NOUN
cana-1086	148	16	metrics	metric	NOUN
cana-1086	148	17	like	like	ADP
cana-1086	148	18	click	click	VERB
cana-1086	148	19	-	-	PUNCT
cana-1086	148	20	through	through	ADP
cana-1086	148	21	rate	rate	NOUN
cana-1086	148	22	(	(	PUNCT
cana-1086	148	23	ctr	ctr	PROPN
cana-1086	148	24	)	)	PUNCT
cana-1086	148	25	.	.	PUNCT
cana-1086	149	1	however	however	ADV
cana-1086	149	2	,	,	PUNCT
cana-1086	149	3	these	these	DET
cana-1086	149	4	metrics	metric	NOUN
cana-1086	149	5	can	can	AUX
cana-1086	149	6	overlook	overlook	VERB
cana-1086	149	7	issues	issue	NOUN
cana-1086	149	8	of	of	ADP
cana-1086	149	9	fairness	fairness	NOUN
cana-1086	149	10	.	.	PUNCT
cana-1086	150	1	fairness	fairness	NOUN
cana-1086	150	2	-	-	PUNCT
cana-1086	150	3	aware	aware	ADJ
cana-1086	150	4	metrics	metric	NOUN
cana-1086	150	5	go	go	VERB
cana-1086	150	6	beyond	beyond	ADP
cana-1086	150	7	accuracy	accuracy	NOUN
cana-1086	150	8	to	to	PART
cana-1086	150	9	consider	consider	VERB
cana-1086	150	10	how	how	SCONJ
cana-1086	150	11	recommendations	recommendation	NOUN
cana-1086	150	12	are	be	AUX
cana-1086	150	13	distributed	distribute	VERB
cana-1086	150	14	across	across	ADP
cana-1086	150	15	different	different	ADJ
cana-1086	150	16	user	user	NOUN
cana-1086	150	17	groups	group	NOUN
cana-1086	150	18	.	.	PUNCT
cana-1086	151	1	as	as	ADP
cana-1086	151	2	examples	example	NOUN
cana-1086	151	3	,	,	PUNCT
cana-1086	151	4	consider	consider	VERB
cana-1086	151	5	:	:	PUNCT
cana-1086	151	6	•	•	NOUN
cana-1086	151	7	parity	parity	NOUN
cana-1086	151	8	metrics	metric	NOUN
cana-1086	151	9	:	:	PUNCT
cana-1086	151	10	these	these	DET
cana-1086	151	11	metrics	metric	NOUN
cana-1086	151	12	ensure	ensure	VERB
cana-1086	151	13	that	that	SCONJ
cana-1086	151	14	similar	similar	ADJ
cana-1086	151	15	recommendations	recommendation	NOUN
cana-1086	151	16	are	be	AUX
cana-1086	151	17	offered	offer	VERB
cana-1086	151	18	to	to	ADP
cana-1086	151	19	users	user	NOUN
cana-1086	151	20	from	from	ADP
cana-1086	151	21	different	different	ADJ
cana-1086	151	22	demographic	demographic	ADJ
cana-1086	151	23	groups	group	NOUN
cana-1086	151	24	.	.	PUNCT
cana-1086	152	1	examples	example	NOUN
cana-1086	152	2	include	include	VERB
cana-1086	152	3	statistical	statistical	ADJ
cana-1086	152	4	parity	parity	NOUN
cana-1086	152	5	(	(	PUNCT
cana-1086	152	6	equal	equal	ADJ
cana-1086	152	7	recommendation	recommendation	NOUN
cana-1086	152	8	rates	rate	NOUN
cana-1086	152	9	)	)	PUNCT
cana-1086	152	10	and	and	CCONJ
cana-1086	152	11	equality	equality	NOUN
cana-1086	152	12	of	of	ADP
cana-1086	152	13	opportunity	opportunity	NOUN
cana-1086	152	14	(	(	PUNCT
cana-1086	152	15	equal	equal	ADJ
cana-1086	152	16	chances	chance	NOUN
cana-1086	152	17	of	of	ADP
cana-1086	152	18	receiving	receive	VERB
cana-1086	152	19	a	a	DET
cana-1086	152	20	top	top	ADJ
cana-1086	152	21	recommendation	recommendation	NOUN
cana-1086	152	22	)	)	PUNCT
cana-1086	153	1	[	[	X
cana-1086	153	2	13	13	NUM
cana-1086	153	3	]	]	PUNCT
cana-1086	153	4	.	.	PUNCT
cana-1086	154	1	•	•	NOUN
cana-1086	154	2	diversity	diversity	NOUN
cana-1086	154	3	metrics	metric	NOUN
cana-1086	154	4	:	:	PUNCT
cana-1086	154	5	these	these	DET
cana-1086	154	6	metrics	metric	NOUN
cana-1086	154	7	measure	measure	VERB
cana-1086	154	8	the	the	DET
cana-1086	154	9	variety	variety	NOUN
cana-1086	154	10	of	of	ADP
cana-1086	154	11	recommendations	recommendation	NOUN
cana-1086	154	12	offered	offer	VERB
cana-1086	154	13	to	to	ADP
cana-1086	154	14	users	user	NOUN
cana-1086	154	15	,	,	PUNCT
cana-1086	154	16	preventing	prevent	VERB
cana-1086	154	17	the	the	DET
cana-1086	154	18	system	system	NOUN
cana-1086	154	19	from	from	ADP
cana-1086	154	20	getting	get	VERB
cana-1086	154	21	stuck	stick	VERB
cana-1086	154	22	in	in	ADP
cana-1086	154	23	“	"	PUNCT
cana-1086	154	24	filter	filter	NOUN
cana-1086	154	25	bubbles	bubble	NOUN
cana-1086	154	26	”	"	PUNCT
cana-1086	154	27	and	and	CCONJ
cana-1086	154	28	promoting	promote	VERB
cana-1086	154	29	exposure	exposure	NOUN
cana-1086	154	30	to	to	ADP
cana-1086	154	31	diverse	diverse	ADJ
cana-1086	154	32	content	content	NOUN
cana-1086	154	33	.	.	PUNCT
cana-1086	155	1	examples	example	NOUN
cana-1086	155	2	include	include	VERB
cana-1086	155	3	coverage	coverage	NOUN
cana-1086	155	4	(	(	PUNCT
cana-1086	155	5	the	the	DET
cana-1086	155	6	range	range	NOUN
cana-1086	155	7	of	of	ADP
cana-1086	155	8	items	item	NOUN
cana-1086	155	9	recommended	recommend	VERB
cana-1086	155	10	)	)	PUNCT
cana-1086	155	11	and	and	CCONJ
cana-1086	155	12	novelty	novelty	NOUN
cana-1086	155	13	(	(	PUNCT
cana-1086	155	14	the	the	DET
cana-1086	155	15	proportion	proportion	NOUN
cana-1086	155	16	of	of	ADP
cana-1086	155	17	recommendations	recommendation	NOUN
cana-1086	155	18	unseen	unseen	ADJ
cana-1086	155	19	by	by	ADP
cana-1086	155	20	the	the	DET
cana-1086	155	21	user	user	NOUN
cana-1086	155	22	before)[15	before)[15	PROPN
cana-1086	155	23	]	]	PUNCT
cana-1086	155	24	.	.	PUNCT
cana-1086	156	1	it	it	PRON
cana-1086	156	2	’s	’	VERB
cana-1086	156	3	crucial	crucial	ADJ
cana-1086	156	4	to	to	PART
cana-1086	156	5	remember	remember	VERB
cana-1086	156	6	that	that	DET
cana-1086	156	7	accuracy	accuracy	NOUN
cana-1086	156	8	and	and	CCONJ
cana-1086	156	9	fairness	fairness	NOUN
cana-1086	156	10	frequently	frequently	ADV
cana-1086	156	11	have	have	VERB
cana-1086	156	12	to	to	PART
cana-1086	156	13	be	be	AUX
cana-1086	156	14	traded	trade	VERB
cana-1086	156	15	off	off	ADP
cana-1086	156	16	.	.	PUNCT
cana-1086	157	1	scholars	scholar	NOUN
cana-1086	157	2	are	be	AUX
cana-1086	157	3	currently	currently	ADV
cana-1086	157	4	devising	devise	VERB
cana-1086	157	5	techniques	technique	NOUN
cana-1086	157	6	that	that	PRON
cana-1086	157	7	strike	strike	VERB
cana-1086	157	8	a	a	DET
cana-1086	157	9	compromise	compromise	NOUN
cana-1086	157	10	between	between	ADP
cana-1086	157	11	these	these	DET
cana-1086	157	12	conflicting	conflict	VERB
cana-1086	157	13	objectives	objective	NOUN
cana-1086	157	14	[	[	X
cana-1086	157	15	24	24	NUM
cana-1086	157	16	]	]	PUNCT
cana-1086	157	17	and	and	CCONJ
cana-1086	157	18	employ	employ	VERB
cana-1086	157	19	a	a	DET
cana-1086	157	20	range	range	NOUN
cana-1086	157	21	of	of	ADP
cana-1086	157	22	indicators	indicator	NOUN
cana-1086	157	23	to	to	PART
cana-1086	157	24	obtain	obtain	VERB
cana-1086	157	25	a	a	DET
cana-1086	157	26	comprehensive	comprehensive	ADJ
cana-1086	157	27	understanding	understanding	NOUN
cana-1086	157	28	of	of	ADP
cana-1086	157	29	the	the	DET
cana-1086	157	30	system	system	NOUN
cana-1086	157	31	’s	’s	PART
cana-1086	157	32	functioning	functioning	NOUN
cana-1086	157	33	.	.	PUNCT
cana-1086	158	1	3	3	X
cana-1086	158	2	.	.	X
cana-1086	158	3	transparency	transparency	NOUN
cana-1086	158	4	and	and	CCONJ
cana-1086	158	5	user	user	NOUN
cana-1086	158	6	control	control	NOUN
cana-1086	158	7	:	:	PUNCT
cana-1086	158	8	•	•	NUM
cana-1086	158	9	transparency	transparency	NOUN
cana-1086	158	10	:	:	PUNCT
cana-1086	158	11	providing	provide	VERB
cana-1086	158	12	users	user	NOUN
cana-1086	158	13	with	with	ADP
cana-1086	158	14	insights	insight	NOUN
cana-1086	158	15	into	into	ADP
cana-1086	158	16	how	how	SCONJ
cana-1086	158	17	recommender	recommender	NOUN
cana-1086	158	18	systems	system	NOUN
cana-1086	158	19	work	work	NOUN
cana-1086	158	20	and	and	CCONJ
cana-1086	158	21	the	the	DET
cana-1086	158	22	factors	factor	NOUN
cana-1086	158	23	influencing	influence	VERB
cana-1086	158	24	their	their	PRON
cana-1086	158	25	recommendations	recommendation	NOUN
cana-1086	158	26	can	can	AUX
cana-1086	158	27	help	help	VERB
cana-1086	158	28	build	build	VERB
cana-1086	158	29	trust	trust	NOUN
cana-1086	158	30	.	.	PUNCT
cana-1086	159	1	this	this	PRON
cana-1086	159	2	could	could	AUX
cana-1086	159	3	involve	involve	VERB
cana-1086	159	4	explanations	explanation	NOUN
cana-1086	159	5	for	for	ADP
cana-1086	159	6	why	why	SCONJ
cana-1086	159	7	specific	specific	ADJ
cana-1086	159	8	items	item	NOUN
cana-1086	159	9	are	be	AUX
cana-1086	159	10	recommended	recommend	VERB
cana-1086	159	11	and	and	CCONJ
cana-1086	159	12	the	the	DET
cana-1086	159	13	ability	ability	NOUN
cana-1086	159	14	to	to	PART
cana-1086	159	15	understand	understand	VERB
cana-1086	159	16	the	the	DET
cana-1086	159	17	system	system	NOUN
cana-1086	159	18	’s	’s	PART
cana-1086	159	19	reasoning	reasoning	NOUN
cana-1086	159	20	[	[	X
cana-1086	159	21	25	25	NUM
cana-1086	159	22	]	]	PUNCT
cana-1086	159	23	.	.	PUNCT
cana-1086	160	1	•	•	NUM
cana-1086	160	2	user	user	NOUN
cana-1086	160	3	control	control	NOUN
cana-1086	160	4	:	:	PUNCT
cana-1086	160	5	empowering	empower	VERB
cana-1086	160	6	users	user	NOUN
cana-1086	160	7	to	to	PART
cana-1086	160	8	control	control	VERB
cana-1086	160	9	the	the	DET
cana-1086	160	10	data	datum	NOUN
cana-1086	160	11	used	use	VERB
cana-1086	160	12	for	for	ADP
cana-1086	160	13	personalization	personalization	NOUN
cana-1086	160	14	offers	offer	VERB
cana-1086	160	15	them	they	PRON
cana-1086	160	16	more	more	ADJ
cana-1086	160	17	agency	agency	NOUN
cana-1086	160	18	.	.	PUNCT
cana-1086	161	1	this	this	PRON
cana-1086	161	2	could	could	AUX
cana-1086	161	3	include	include	VERB
cana-1086	161	4	mechanisms	mechanism	NOUN
cana-1086	161	5	to	to	PART
cana-1086	161	6	allow	allow	VERB
cana-1086	161	7	users	user	NOUN
cana-1086	161	8	to	to	PART
cana-1086	161	9	adjust	adjust	VERB
cana-1086	161	10	their	their	PRON
cana-1086	161	11	recommendation	recommendation	NOUN
cana-1086	161	12	profiles	profile	NOUN
cana-1086	161	13	,	,	PUNCT
cana-1086	161	14	remove	remove	VERB
cana-1086	161	15	irrelevant	irrelevant	ADJ
cana-1086	161	16	data	datum	NOUN
cana-1086	161	17	points	point	NOUN
cana-1086	161	18	,	,	PUNCT
cana-1086	161	19	or	or	CCONJ
cana-1086	161	20	opt	opt	NOUN
cana-1086	161	21	-	-	PUNCT
cana-1086	161	22	out	out	NOUN
cana-1086	161	23	of	of	ADP
cana-1086	161	24	certain	certain	ADJ
cana-1086	161	25	features	feature	NOUN
cana-1086	161	26	[	[	X
cana-1086	161	27	26	26	NUM
cana-1086	161	28	]	]	PUNCT
cana-1086	161	29	.	.	PUNCT
cana-1086	162	1	these	these	DET
cana-1086	162	2	methods	method	NOUN
cana-1086	162	3	present	present	VERB
cana-1086	162	4	encouraging	encourage	VERB
cana-1086	162	5	paths	path	NOUN
cana-1086	162	6	for	for	ADP
cana-1086	162	7	reducing	reduce	VERB
cana-1086	162	8	bias	bias	NOUN
cana-1086	162	9	and	and	CCONJ
cana-1086	162	10	advancing	advance	VERB
cana-1086	162	11	equity	equity	NOUN
cana-1086	162	12	in	in	ADP
cana-1086	162	13	recommender	recommender	NOUN
cana-1086	162	14	systems	system	NOUN
cana-1086	162	15	.	.	PUNCT
cana-1086	163	1	we	we	PRON
cana-1086	163	2	can	can	AUX
cana-1086	163	3	guarantee	guarantee	VERB
cana-1086	163	4	that	that	SCONJ
cana-1086	163	5	these	these	DET
cana-1086	163	6	recommender	recommender	NOUN
cana-1086	163	7	systems	system	NOUN
cana-1086	163	8	provide	provide	VERB
cana-1086	163	9	a	a	DET
cana-1086	163	10	satisfying	satisfy	VERB
cana-1086	163	11	user	user	NOUN
cana-1086	163	12	experience	experience	NOUN
cana-1086	163	13	that	that	PRON
cana-1086	163	14	is	be	AUX
cana-1086	163	15	both	both	CCONJ
cana-1086	163	16	individualised	individualised	ADJ
cana-1086	163	17	and	and	CCONJ
cana-1086	163	18	equitable	equitable	ADJ
cana-1086	163	19	by	by	ADP
cana-1086	163	20	utilising	utilise	VERB
cana-1086	163	21	a	a	DET
cana-1086	163	22	blend	blend	NOUN
cana-1086	163	23	of	of	ADP
cana-1086	163	24	debiasing	debiase	VERB
cana-1086	163	25	strategies	strategy	NOUN
cana-1086	163	26	,	,	PUNCT
cana-1086	163	27	fairness	fairness	NOUN
cana-1086	163	28	-	-	PUNCT
cana-1086	163	29	aware	aware	ADJ
cana-1086	163	30	metrics	metric	NOUN
cana-1086	163	31	,	,	PUNCT
cana-1086	163	32	and	and	CCONJ
cana-1086	163	33	transparency	transparency	NOUN
cana-1086	163	34	with	with	ADP
cana-1086	163	35	user	user	NOUN
cana-1086	163	36	control	control	NOUN
cana-1086	163	37	.	.	PUNCT
cana-1086	164	1	6	6	X
cana-1086	164	2	.	.	X
cana-1086	164	3	challenges	challenge	NOUN
cana-1086	164	4	and	and	CCONJ
cana-1086	164	5	future	future	ADJ
cana-1086	164	6	directions	direction	NOUN
cana-1086	164	7	in	in	ADP
cana-1086	164	8	fair	fair	ADJ
cana-1086	164	9	recommendation	recommendation	NOUN
cana-1086	164	10	systems	system	NOUN
cana-1086	164	11	while	while	SCONJ
cana-1086	164	12	significant	significant	ADJ
cana-1086	164	13	progress	progress	NOUN
cana-1086	164	14	has	have	AUX
cana-1086	164	15	been	be	AUX
cana-1086	164	16	made	make	VERB
cana-1086	164	17	in	in	ADP
cana-1086	164	18	developing	develop	VERB
cana-1086	164	19	fair	fair	ADJ
cana-1086	164	20	recommender	recommender	NOUN
cana-1086	164	21	systems	system	NOUN
cana-1086	164	22	,	,	PUNCT
cana-1086	164	23	there	there	PRON
cana-1086	164	24	are	be	VERB
cana-1086	164	25	still	still	ADV
cana-1086	164	26	substantial	substantial	ADJ
cana-1086	164	27	challenges	challenge	NOUN
cana-1086	164	28	to	to	PART
cana-1086	164	29	overcome	overcome	VERB
cana-1086	164	30	.	.	PUNCT
cana-1086	165	1	here	here	ADV
cana-1086	165	2	,	,	PUNCT
cana-1086	165	3	we	we	PRON
cana-1086	165	4	delve	delve	VERB
cana-1086	165	5	into	into	ADP
cana-1086	165	6	some	some	DET
cana-1086	165	7	key	key	ADJ
cana-1086	165	8	hurdles	hurdle	NOUN
cana-1086	165	9	and	and	CCONJ
cana-1086	165	10	promising	promise	VERB
cana-1086	165	11	future	future	ADJ
cana-1086	165	12	research	research	NOUN
cana-1086	165	13	directions	direction	NOUN
cana-1086	165	14	,	,	PUNCT
cana-1086	165	15	drawing	draw	VERB
cana-1086	165	16	insights	insight	NOUN
cana-1086	165	17	from	from	ADP
cana-1086	165	18	recent	recent	ADJ
cana-1086	165	19	research	research	NOUN
cana-1086	165	20	:	:	PUNCT
cana-1086	165	21	•	•	ADP
cana-1086	165	22	defining	define	VERB
cana-1086	165	23	and	and	CCONJ
cana-1086	165	24	measuring	measure	VERB
cana-1086	165	25	fairness	fairness	NOUN
cana-1086	165	26	:	:	PUNCT
cana-1086	165	27	fairness	fairness	NOUN
cana-1086	165	28	is	be	AUX
cana-1086	165	29	a	a	DET
cana-1086	165	30	multifaceted	multifaceted	ADJ
cana-1086	165	31	concept	concept	NOUN
cana-1086	165	32	,	,	PUNCT
cana-1086	165	33	and	and	CCONJ
cana-1086	165	34	there	there	PRON
cana-1086	165	35	is	be	VERB
cana-1086	165	36	no	no	DET
cana-1086	165	37	single	single	ADJ
cana-1086	165	38	universally	universally	ADV
cana-1086	165	39	accepted	accept	VERB
cana-1086	165	40	definition	definition	NOUN
cana-1086	165	41	.	.	PUNCT
cana-1086	166	1	different	different	ADJ
cana-1086	166	2	stakeholders	stakeholder	NOUN
cana-1086	166	3	(	(	PUNCT
cana-1086	166	4	users	user	NOUN
cana-1086	166	5	,	,	PUNCT
cana-1086	166	6	developers	developer	NOUN
cana-1086	166	7	,	,	PUNCT
cana-1086	166	8	policymakers	policymaker	NOUN
cana-1086	166	9	)	)	PUNCT
cana-1086	166	10	may	may	AUX
cana-1086	166	11	prioritize	prioritize	VERB
cana-1086	166	12	different	different	ADJ
cana-1086	166	13	aspects	aspect	NOUN
cana-1086	166	14	of	of	ADP
cana-1086	166	15	fairness	fairness	NOUN
cana-1086	166	16	.	.	PUNCT
cana-1086	167	1	metrics	metric	NOUN
cana-1086	167	2	like	like	ADP
cana-1086	167	3	parity	parity	NOUN
cana-1086	167	4	and	and	CCONJ
cana-1086	167	5	diversity	diversity	NOUN
cana-1086	167	6	offer	offer	VERB
cana-1086	167	7	valuable	valuable	ADJ
cana-1086	167	8	insights	insight	NOUN
cana-1086	167	9	,	,	PUNCT
cana-1086	167	10	but	but	CCONJ
cana-1086	167	11	they	they	PRON
cana-1086	167	12	might	might	AUX
cana-1086	167	13	not	not	PART
cana-1086	167	14	capture	capture	VERB
cana-1086	167	15	communications	communication	NOUN
cana-1086	167	16	on	on	ADP
cana-1086	167	17	applied	apply	VERB
cana-1086	167	18	nonlinear	nonlinear	ADJ
cana-1086	167	19	analysis	analysis	NOUN
cana-1086	167	20	issn	issn	NOUN
cana-1086	167	21	:	:	PUNCT
cana-1086	167	22	1074	1074	NUM
cana-1086	167	23	-	-	PUNCT
cana-1086	167	24	133x	133x	NUM
cana-1086	167	25	vol	vol	NOUN
cana-1086	167	26	31	31	NUM
cana-1086	167	27	no	no	NOUN
cana-1086	167	28	.	.	PUNCT
cana-1086	168	1	5s	5s	NUM
cana-1086	168	2	(	(	PUNCT
cana-1086	168	3	2024	2024	NUM
cana-1086	168	4	)	)	PUNCT
cana-1086	168	5	515	515	NUM
cana-1086	168	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1086	168	7	the	the	DET
cana-1086	168	8	full	full	ADJ
cana-1086	168	9	picture	picture	NOUN
cana-1086	168	10	.	.	PUNCT
cana-1086	169	1	future	future	ADJ
cana-1086	169	2	research	research	NOUN
cana-1086	169	3	should	should	AUX
cana-1086	169	4	explore	explore	VERB
cana-1086	169	5	comprehensive	comprehensive	ADJ
cana-1086	169	6	frameworks	framework	NOUN
cana-1086	169	7	to	to	PART
cana-1086	169	8	define	define	VERB
cana-1086	169	9	and	and	CCONJ
cana-1086	169	10	measure	measure	VERB
cana-1086	169	11	fairness	fairness	NOUN
cana-1086	169	12	that	that	PRON
cana-1086	169	13	consider	consider	VERB
cana-1086	169	14	various	various	ADJ
cana-1086	169	15	stakeholders	stakeholder	NOUN
cana-1086	169	16	’	’	PART
cana-1086	169	17	perspectives	perspective	NOUN
cana-1086	169	18	and	and	CCONJ
cana-1086	169	19	the	the	DET
cana-1086	169	20	potential	potential	NOUN
cana-1086	169	21	for	for	ADP
cana-1086	169	22	unintended	unintended	ADJ
cana-1086	169	23	consequences	consequence	NOUN
cana-1086	169	24	[	[	X
cana-1086	169	25	27	27	NUM
cana-1086	169	26	]	]	PUNCT
cana-1086	169	27	.	.	PUNCT
cana-1086	170	1	for	for	ADP
cana-1086	170	2	instance	instance	NOUN
cana-1086	170	3	,	,	PUNCT
cana-1086	170	4	a	a	DET
cana-1086	170	5	fairness	fairness	NOUN
cana-1086	170	6	metric	metric	NOUN
cana-1086	170	7	might	might	AUX
cana-1086	170	8	account	account	VERB
cana-1086	170	9	for	for	ADP
cana-1086	170	10	not	not	PART
cana-1086	170	11	only	only	ADV
cana-1086	170	12	equal	equal	ADJ
cana-1086	170	13	opportunity	opportunity	NOUN
cana-1086	170	14	for	for	ADP
cana-1086	170	15	all	all	DET
cana-1086	170	16	groups	group	NOUN
cana-1086	170	17	but	but	CCONJ
cana-1086	170	18	also	also	ADV
cana-1086	170	19	the	the	DET
cana-1086	170	20	quality	quality	NOUN
cana-1086	170	21	of	of	ADP
cana-1086	170	22	recommendations	recommendation	NOUN
cana-1086	170	23	received	receive	VERB
cana-1086	170	24	[	[	X
cana-1086	170	25	28	28	NUM
cana-1086	170	26	]	]	PUNCT
cana-1086	170	27	.	.	PUNCT
cana-1086	171	1	•	•	PUNCT
cana-1086	171	2	balancing	balance	VERB
cana-1086	171	3	fairness	fairness	NOUN
cana-1086	171	4	with	with	ADP
cana-1086	171	5	other	other	ADJ
cana-1086	171	6	goals	goal	NOUN
cana-1086	171	7	:	:	PUNCT
cana-1086	171	8	in	in	ADP
cana-1086	171	9	recommender	recommender	NOUN
cana-1086	171	10	systems	system	NOUN
cana-1086	171	11	,	,	PUNCT
cana-1086	171	12	achieving	achieve	VERB
cana-1086	171	13	justice	justice	NOUN
cana-1086	171	14	frequently	frequently	ADV
cana-1086	171	15	means	mean	VERB
cana-1086	171	16	sacrificing	sacrifice	VERB
cana-1086	171	17	other	other	ADJ
cana-1086	171	18	desirable	desirable	ADJ
cana-1086	171	19	characteristics	characteristic	NOUN
cana-1086	171	20	like	like	ADP
cana-1086	171	21	accuracy	accuracy	NOUN
cana-1086	171	22	and	and	CCONJ
cana-1086	171	23	personalisation	personalisation	NOUN
cana-1086	171	24	.	.	PUNCT
cana-1086	172	1	debiasing	debiase	VERB
cana-1086	172	2	algorithms	algorithm	NOUN
cana-1086	172	3	,	,	PUNCT
cana-1086	172	4	for	for	ADP
cana-1086	172	5	example	example	NOUN
cana-1086	172	6	,	,	PUNCT
cana-1086	172	7	may	may	AUX
cana-1086	172	8	initially	initially	ADV
cana-1086	172	9	result	result	VERB
cana-1086	172	10	in	in	ADP
cana-1086	172	11	suggestions	suggestion	NOUN
cana-1086	172	12	that	that	PRON
cana-1086	172	13	are	be	AUX
cana-1086	172	14	less	less	ADV
cana-1086	172	15	accurate	accurate	ADJ
cana-1086	172	16	.	.	PUNCT
cana-1086	173	1	subsequent	subsequent	ADJ
cana-1086	173	2	investigations	investigation	NOUN
cana-1086	173	3	ought	ought	AUX
cana-1086	173	4	to	to	PART
cana-1086	173	5	delve	delve	VERB
cana-1086	173	6	into	into	ADP
cana-1086	173	7	strategies	strategy	NOUN
cana-1086	173	8	that	that	PRON
cana-1086	173	9	reconcile	reconcile	VERB
cana-1086	173	10	these	these	DET
cana-1086	173	11	conflicting	conflicting	ADJ
cana-1086	173	12	objectives	objective	NOUN
cana-1086	173	13	,	,	PUNCT
cana-1086	173	14	possibly	possibly	ADV
cana-1086	173	15	using	use	VERB
cana-1086	173	16	approaches	approach	NOUN
cana-1086	173	17	such	such	ADJ
cana-1086	173	18	as	as	ADP
cana-1086	173	19	context	context	NOUN
cana-1086	173	20	-	-	PUNCT
cana-1086	173	21	aware	aware	ADJ
cana-1086	173	22	fairness	fairness	NOUN
cana-1086	173	23	considerations	consideration	NOUN
cana-1086	173	24	or	or	CCONJ
cana-1086	173	25	multi	multi	ADJ
cana-1086	173	26	-	-	ADJ
cana-1086	173	27	objective	objective	ADJ
cana-1086	173	28	optimisation	optimisation	NOUN
cana-1086	173	29	[	[	X
cana-1086	173	30	29	29	NUM
cana-1086	173	31	]	]	PUNCT
cana-1086	173	32	.	.	PUNCT
cana-1086	174	1	depending	depend	VERB
cana-1086	174	2	on	on	ADP
cana-1086	174	3	the	the	DET
cana-1086	174	4	recommendation	recommendation	NOUN
cana-1086	174	5	task	task	NOUN
cana-1086	174	6	and	and	CCONJ
cana-1086	174	7	user	user	NOUN
cana-1086	174	8	circumstance	circumstance	NOUN
cana-1086	174	9	,	,	PUNCT
cana-1086	174	10	this	this	PRON
cana-1086	174	11	may	may	AUX
cana-1086	174	12	include	include	VERB
cana-1086	174	13	dynamically	dynamically	ADV
cana-1086	174	14	modifying	modify	VERB
cana-1086	174	15	the	the	DET
cana-1086	174	16	fairness	fairness	NOUN
cana-1086	174	17	constraints	constraint	NOUN
cana-1086	174	18	.	.	PUNCT
cana-1086	175	1	•	•	NUM
cana-1086	175	2	mitigating	mitigate	VERB
cana-1086	175	3	bias	bias	NOUN
cana-1086	175	4	while	while	SCONJ
cana-1086	175	5	ensuring	ensure	VERB
cana-1086	175	6	user	user	NOUN
cana-1086	175	7	privacy	privacy	NOUN
cana-1086	175	8	:	:	PUNCT
cana-1086	175	9	concerns	concern	NOUN
cana-1086	175	10	about	about	ADP
cana-1086	175	11	privacy	privacy	NOUN
cana-1086	175	12	arise	arise	NOUN
cana-1086	175	13	because	because	SCONJ
cana-1086	175	14	many	many	ADJ
cana-1086	175	15	debiasing	debiasing	ADJ
cana-1086	175	16	methods	method	NOUN
cana-1086	175	17	rely	rely	VERB
cana-1086	175	18	on	on	ADP
cana-1086	175	19	user	user	NOUN
cana-1086	175	20	data	datum	NOUN
cana-1086	175	21	.	.	PUNCT
cana-1086	176	1	if	if	SCONJ
cana-1086	176	2	users	user	NOUN
cana-1086	176	3	worry	worry	VERB
cana-1086	176	4	about	about	ADP
cana-1086	176	5	discrimination	discrimination	NOUN
cana-1086	176	6	or	or	CCONJ
cana-1086	176	7	improper	improper	ADJ
cana-1086	176	8	use	use	NOUN
cana-1086	176	9	of	of	ADP
cana-1086	176	10	their	their	PRON
cana-1086	176	11	data	datum	NOUN
cana-1086	176	12	,	,	PUNCT
cana-1086	176	13	they	they	PRON
cana-1086	176	14	may	may	AUX
cana-1086	176	15	be	be	AUX
cana-1086	176	16	reluctant	reluctant	ADJ
cana-1086	176	17	to	to	PART
cana-1086	176	18	divulge	divulge	VERB
cana-1086	176	19	sensitive	sensitive	ADJ
cana-1086	176	20	information	information	NOUN
cana-1086	176	21	.	.	PUNCT
cana-1086	177	1	future	future	ADJ
cana-1086	177	2	studies	study	NOUN
cana-1086	177	3	could	could	AUX
cana-1086	177	4	look	look	VERB
cana-1086	177	5	on	on	ADP
cana-1086	177	6	fairness	fairness	NOUN
cana-1086	177	7	-	-	PUNCT
cana-1086	177	8	aware	aware	ADJ
cana-1086	177	9	,	,	PUNCT
cana-1086	177	10	privacypreserving	privacypreserve	VERB
cana-1086	177	11	strategies	strategy	NOUN
cana-1086	177	12	that	that	PRON
cana-1086	177	13	provide	provide	VERB
cana-1086	177	14	equitable	equitable	ADJ
cana-1086	177	15	results	result	NOUN
cana-1086	177	16	without	without	ADP
cana-1086	177	17	jeopardising	jeopardise	VERB
cana-1086	177	18	user	user	NOUN
cana-1086	177	19	privacy	privacy	NOUN
cana-1086	177	20	[	[	X
cana-1086	177	21	30	30	NUM
cana-1086	177	22	]	]	PUNCT
cana-1086	177	23	.	.	PUNCT
cana-1086	178	1	this	this	PRON
cana-1086	178	2	could	could	AUX
cana-1086	178	3	entail	entail	VERB
cana-1086	178	4	using	use	VERB
cana-1086	178	5	differential	differential	ADJ
cana-1086	178	6	privacy	privacy	NOUN
cana-1086	178	7	strategies	strategy	NOUN
cana-1086	178	8	that	that	PRON
cana-1086	178	9	introduce	introduce	VERB
cana-1086	178	10	noise	noise	NOUN
cana-1086	178	11	to	to	PART
cana-1086	178	12	safeguard	safeguard	VERB
cana-1086	178	13	individual	individual	ADJ
cana-1086	178	14	data	datum	NOUN
cana-1086	178	15	points	point	NOUN
cana-1086	178	16	while	while	SCONJ
cana-1086	178	17	maintaining	maintain	VERB
cana-1086	178	18	statistical	statistical	ADJ
cana-1086	178	19	features	feature	NOUN
cana-1086	178	20	for	for	ADP
cana-1086	178	21	fairness	fairness	NOUN
cana-1086	178	22	analysis	analysis	NOUN
cana-1086	178	23	,	,	PUNCT
cana-1086	178	24	federated	federate	VERB
cana-1086	178	25	learning	learning	NOUN
cana-1086	178	26	techniques	technique	NOUN
cana-1086	178	27	,	,	PUNCT
cana-1086	178	28	or	or	CCONJ
cana-1086	178	29	anonymised	anonymise	VERB
cana-1086	178	30	data	datum	NOUN
cana-1086	178	31	.	.	PUNCT
cana-1086	179	1	•	•	NUM
cana-1086	179	2	fairness	fairness	NOUN
cana-1086	179	3	across	across	ADP
cana-1086	179	4	different	different	ADJ
cana-1086	179	5	recommendation	recommendation	NOUN
cana-1086	179	6	tasks	task	NOUN
cana-1086	179	7	and	and	CCONJ
cana-1086	179	8	contexts	context	NOUN
cana-1086	179	9	:	:	PUNCT
cana-1086	179	10	even	even	ADV
cana-1086	179	11	though	though	SCONJ
cana-1086	179	12	fairness	fairness	NOUN
cana-1086	179	13	has	have	AUX
cana-1086	179	14	been	be	AUX
cana-1086	179	15	the	the	DET
cana-1086	179	16	subject	subject	NOUN
cana-1086	179	17	of	of	ADP
cana-1086	179	18	research	research	NOUN
cana-1086	179	19	in	in	ADP
cana-1086	179	20	a	a	DET
cana-1086	179	21	variety	variety	NOUN
cana-1086	179	22	of	of	ADP
cana-1086	179	23	circumstances	circumstance	NOUN
cana-1086	179	24	(	(	PUNCT
cana-1086	179	25	such	such	ADJ
cana-1086	179	26	as	as	ADP
cana-1086	179	27	loan	loan	NOUN
cana-1086	179	28	approvals	approval	NOUN
cana-1086	179	29	and	and	CCONJ
cana-1086	179	30	employment	employment	NOUN
cana-1086	179	31	recommendations	recommendation	NOUN
cana-1086	179	32	)	)	PUNCT
cana-1086	179	33	,	,	PUNCT
cana-1086	179	34	the	the	DET
cana-1086	179	35	issues	issue	NOUN
cana-1086	179	36	and	and	CCONJ
cana-1086	179	37	difficulties	difficulty	NOUN
cana-1086	179	38	may	may	AUX
cana-1086	179	39	vary	vary	VERB
cana-1086	179	40	.	.	PUNCT
cana-1086	180	1	future	future	ADJ
cana-1086	180	2	studies	study	NOUN
cana-1086	180	3	should	should	AUX
cana-1086	180	4	investigate	investigate	VERB
cana-1086	180	5	how	how	SCONJ
cana-1086	180	6	fairness	fairness	NOUN
cana-1086	180	7	might	might	AUX
cana-1086	180	8	be	be	AUX
cana-1086	180	9	addressed	address	VERB
cana-1086	180	10	in	in	ADP
cana-1086	180	11	various	various	ADJ
cana-1086	180	12	domains	domain	NOUN
cana-1086	180	13	,	,	PUNCT
cana-1086	180	14	considering	consider	VERB
cana-1086	180	15	elements	element	NOUN
cana-1086	180	16	such	such	ADJ
cana-1086	180	17	as	as	ADP
cana-1086	180	18	the	the	DET
cana-1086	180	19	potential	potential	NOUN
cana-1086	180	20	for	for	ADP
cana-1086	180	21	social	social	ADJ
cana-1086	180	22	impact	impact	NOUN
cana-1086	180	23	and	and	CCONJ
cana-1086	180	24	the	the	DET
cana-1086	180	25	sensitivity	sensitivity	NOUN
cana-1086	180	26	of	of	ADP
cana-1086	180	27	the	the	DET
cana-1086	180	28	recommendation	recommendation	NOUN
cana-1086	180	29	task	task	NOUN
cana-1086	180	30	(	(	PUNCT
cana-1086	180	31	e.g.	e.g.	ADV
cana-1086	180	32	,	,	PUNCT
cana-1086	180	33	fairness	fairness	NOUN
cana-1086	180	34	in	in	ADP
cana-1086	180	35	criminal	criminal	ADJ
cana-1086	180	36	justice	justice	NOUN
cana-1086	180	37	recommendations	recommendation	NOUN
cana-1086	180	38	is	be	AUX
cana-1086	180	39	crucial	crucial	ADJ
cana-1086	180	40	)	)	PUNCT
cana-1086	181	1	[	[	X
cana-1086	181	2	6	6	NUM
cana-1086	181	3	]	]	PUNCT
cana-1086	181	4	.	.	PUNCT
cana-1086	182	1	•	•	NUM
cana-1086	183	1	evolving	evolve	VERB
cana-1086	183	2	nature	nature	NOUN
cana-1086	183	3	of	of	ADP
cana-1086	183	4	bias	bias	NOUN
cana-1086	183	5	and	and	CCONJ
cana-1086	183	6	societal	societal	ADJ
cana-1086	183	7	norms	norm	NOUN
cana-1086	183	8	:	:	PUNCT
cana-1086	183	9	societal	societal	ADJ
cana-1086	183	10	norms	norm	NOUN
cana-1086	183	11	and	and	CCONJ
cana-1086	183	12	understandings	understanding	NOUN
cana-1086	183	13	of	of	ADP
cana-1086	183	14	fairness	fairness	NOUN
cana-1086	183	15	are	be	AUX
cana-1086	183	16	constantly	constantly	ADV
cana-1086	183	17	evolving	evolve	VERB
cana-1086	183	18	.	.	PUNCT
cana-1086	184	1	what	what	PRON
cana-1086	184	2	is	be	AUX
cana-1086	184	3	considered	consider	VERB
cana-1086	184	4	fair	fair	ADJ
cana-1086	184	5	today	today	NOUN
cana-1086	184	6	might	might	AUX
cana-1086	184	7	not	not	PART
cana-1086	184	8	be	be	AUX
cana-1086	184	9	considered	consider	VERB
cana-1086	184	10	fair	fair	ADJ
cana-1086	184	11	tomorrow	tomorrow	NOUN
cana-1086	184	12	.	.	PUNCT
cana-1086	185	1	future	future	ADJ
cana-1086	185	2	research	research	NOUN
cana-1086	185	3	should	should	AUX
cana-1086	185	4	develop	develop	VERB
cana-1086	185	5	methods	method	NOUN
cana-1086	185	6	that	that	PRON
cana-1086	185	7	can	can	AUX
cana-1086	185	8	adapt	adapt	VERB
cana-1086	185	9	to	to	ADP
cana-1086	185	10	these	these	DET
cana-1086	185	11	changes	change	NOUN
cana-1086	185	12	,	,	PUNCT
cana-1086	185	13	potentially	potentially	ADV
cana-1086	185	14	through	through	ADP
cana-1086	185	15	incorporating	incorporate	VERB
cana-1086	185	16	human	human	NOUN
cana-1086	185	17	-	-	PUNCT
cana-1086	185	18	in	in	ADP
cana-1086	185	19	-	-	PUNCT
cana-1086	185	20	the	the	DET
cana-1086	185	21	-	-	PUNCT
cana-1086	185	22	loop	loop	NOUN
cana-1086	185	23	fairness	fairness	NOUN
cana-1086	185	24	feedback	feedback	NOUN
cana-1086	185	25	mechanisms	mechanism	NOUN
cana-1086	185	26	or	or	CCONJ
cana-1086	185	27	ongoing	ongoing	ADJ
cana-1086	185	28	evaluations	evaluation	NOUN
cana-1086	185	29	based	base	VERB
cana-1086	185	30	on	on	ADP
cana-1086	185	31	evolving	evolve	VERB
cana-1086	185	32	societal	societal	ADJ
cana-1086	185	33	standards	standard	NOUN
cana-1086	185	34	[	[	X
cana-1086	185	35	21	21	NUM
cana-1086	185	36	]	]	PUNCT
cana-1086	185	37	.	.	PUNCT
cana-1086	186	1	7	7	X
cana-1086	186	2	.	.	X
cana-1086	186	3	future	future	ADJ
cana-1086	186	4	research	research	NOUN
cana-1086	186	5	directions	direction	NOUN
cana-1086	186	6	:	:	PUNCT
cana-1086	186	7	building	build	VERB
cana-1086	186	8	on	on	ADP
cana-1086	186	9	these	these	DET
cana-1086	186	10	challenges	challenge	NOUN
cana-1086	186	11	,	,	PUNCT
cana-1086	186	12	several	several	ADJ
cana-1086	186	13	promising	promising	ADJ
cana-1086	186	14	avenues	avenue	NOUN
cana-1086	186	15	exist	exist	VERB
cana-1086	186	16	for	for	ADP
cana-1086	186	17	future	future	ADJ
cana-1086	186	18	research	research	NOUN
cana-1086	186	19	in	in	ADP
cana-1086	186	20	fair	fair	ADJ
cana-1086	186	21	recommender	recommender	NOUN
cana-1086	186	22	systems	system	NOUN
cana-1086	186	23	:	:	PUNCT
cana-1086	186	24	•	•	NOUN
cana-1086	186	25	explainable	explainable	ADJ
cana-1086	186	26	and	and	CCONJ
cana-1086	186	27	transparent	transparent	ADJ
cana-1086	186	28	fairness	fairness	NOUN
cana-1086	186	29	mechanisms	mechanism	NOUN
cana-1086	186	30	:	:	PUNCT
cana-1086	186	31	enhancing	enhance	VERB
cana-1086	186	32	user	user	NOUN
cana-1086	186	33	confidence	confidence	NOUN
cana-1086	186	34	and	and	CCONJ
cana-1086	186	35	facilitating	facilitate	VERB
cana-1086	186	36	human	human	ADJ
cana-1086	186	37	supervision	supervision	NOUN
cana-1086	186	38	can	can	AUX
cana-1086	186	39	be	be	AUX
cana-1086	186	40	achieved	achieve	VERB
cana-1086	186	41	by	by	ADP
cana-1086	186	42	creating	create	VERB
cana-1086	186	43	interpretable	interpretable	ADJ
cana-1086	186	44	algorithms	algorithm	NOUN
cana-1086	186	45	that	that	PRON
cana-1086	186	46	can	can	AUX
cana-1086	186	47	justify	justify	VERB
cana-1086	186	48	suggestions	suggestion	NOUN
cana-1086	186	49	and	and	CCONJ
cana-1086	186	50	exhibit	exhibit	VERB
cana-1086	186	51	fairness	fairness	NOUN
cana-1086	186	52	considerations	consideration	NOUN
cana-1086	186	53	[	[	X
cana-1086	186	54	31	31	NUM
cana-1086	186	55	]	]	PUNCT
cana-1086	186	56	.	.	PUNCT
cana-1086	187	1	to	to	PART
cana-1086	187	2	demonstrate	demonstrate	VERB
cana-1086	187	3	to	to	ADP
cana-1086	187	4	users	user	NOUN
cana-1086	187	5	how	how	SCONJ
cana-1086	187	6	suggestions	suggestion	NOUN
cana-1086	187	7	might	might	AUX
cana-1086	187	8	vary	vary	VERB
cana-1086	187	9	for	for	ADP
cana-1086	187	10	users	user	NOUN
cana-1086	187	11	with	with	ADP
cana-1086	187	12	varied	varied	ADJ
cana-1086	187	13	traits	trait	NOUN
cana-1086	187	14	,	,	PUNCT
cana-1086	187	15	counterfactual	counterfactual	ADJ
cana-1086	187	16	explanations	explanation	NOUN
cana-1086	187	17	are	be	AUX
cana-1086	187	18	one	one	NUM
cana-1086	187	19	strategy	strategy	NOUN
cana-1086	187	20	that	that	PRON
cana-1086	187	21	can	can	AUX
cana-1086	187	22	be	be	AUX
cana-1086	187	23	used	use	VERB
cana-1086	187	24	in	in	ADP
cana-1086	187	25	this	this	DET
cana-1086	187	26	regard	regard	NOUN
cana-1086	187	27	.	.	PUNCT
cana-1086	188	1	•	•	NUM
cana-1086	188	2	counterfactual	counterfactual	ADJ
cana-1086	188	3	fairness	fairness	NOUN
cana-1086	188	4	and	and	CCONJ
cana-1086	188	5	causal	causal	NOUN
cana-1086	188	6	inference	inference	NOUN
cana-1086	188	7	techniques	technique	NOUN
cana-1086	188	8	:	:	PUNCT
cana-1086	188	9	more	more	ADV
cana-1086	188	10	robust	robust	ADJ
cana-1086	188	11	algorithms	algorithm	NOUN
cana-1086	188	12	that	that	PRON
cana-1086	188	13	consider	consider	VERB
cana-1086	188	14	fairness	fairness	NOUN
cana-1086	188	15	can	can	AUX
cana-1086	188	16	be	be	AUX
cana-1086	188	17	achieved	achieve	VERB
cana-1086	188	18	by	by	ADP
cana-1086	188	19	utilising	utilise	VERB
cana-1086	188	20	counterfactual	counterfactual	ADJ
cana-1086	188	21	reasoning	reasoning	NOUN
cana-1086	188	22	and	and	CCONJ
cana-1086	188	23	causal	causal	NOUN
cana-1086	188	24	inference	inference	NOUN
cana-1086	188	25	to	to	PART
cana-1086	188	26	comprehend	comprehend	VERB
cana-1086	188	27	how	how	SCONJ
cana-1086	188	28	communications	communication	NOUN
cana-1086	188	29	on	on	ADP
cana-1086	188	30	applied	apply	VERB
cana-1086	188	31	nonlinear	nonlinear	ADJ
cana-1086	188	32	analysis	analysis	NOUN
cana-1086	188	33	issn	issn	NOUN
cana-1086	188	34	:	:	PUNCT
cana-1086	188	35	1074	1074	NUM
cana-1086	188	36	-	-	PUNCT
cana-1086	188	37	133x	133x	NUM
cana-1086	188	38	vol	vol	NOUN
cana-1086	188	39	31	31	NUM
cana-1086	188	40	no	no	NOUN
cana-1086	188	41	.	.	PUNCT
cana-1086	189	1	5s	5s	NUM
cana-1086	189	2	(	(	PUNCT
cana-1086	189	3	2024	2024	NUM
cana-1086	189	4	)	)	PUNCT
cana-1086	189	5	516	516	NUM
cana-1086	189	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1086	189	7	suggestions	suggestion	NOUN
cana-1086	189	8	might	might	AUX
cana-1086	189	9	vary	vary	VERB
cana-1086	189	10	for	for	ADP
cana-1086	189	11	users	user	NOUN
cana-1086	189	12	belonging	belong	VERB
cana-1086	189	13	to	to	ADP
cana-1086	189	14	different	different	ADJ
cana-1086	189	15	demographics	demographic	NOUN
cana-1086	189	16	[	[	X
cana-1086	189	17	22	22	NUM
cana-1086	189	18	]	]	PUNCT
cana-1086	189	19	.	.	PUNCT
cana-1086	190	1	by	by	ADP
cana-1086	190	2	doing	do	VERB
cana-1086	190	3	this	this	PRON
cana-1086	190	4	,	,	PUNCT
cana-1086	190	5	algorithmic	algorithmic	ADJ
cana-1086	190	6	bias	bias	NOUN
cana-1086	190	7	that	that	PRON
cana-1086	190	8	may	may	AUX
cana-1086	190	9	not	not	PART
cana-1086	190	10	be	be	AUX
cana-1086	190	11	immediately	immediately	ADV
cana-1086	190	12	visible	visible	ADJ
cana-1086	190	13	from	from	ADP
cana-1086	190	14	traditional	traditional	ADJ
cana-1086	190	15	measures	measure	NOUN
cana-1086	190	16	can	can	AUX
cana-1086	190	17	be	be	AUX
cana-1086	190	18	found	find	VERB
cana-1086	190	19	and	and	CCONJ
cana-1086	190	20	addressed	address	VERB
cana-1086	190	21	.	.	PUNCT
cana-1086	191	1	•	•	NUM
cana-1086	191	2	user	user	NOUN
cana-1086	191	3	-	-	PUNCT
cana-1086	191	4	centric	centric	ADJ
cana-1086	191	5	fairness	fairness	NOUN
cana-1086	191	6	controls	control	NOUN
cana-1086	191	7	:	:	PUNCT
cana-1086	191	8	enhancing	enhance	VERB
cana-1086	191	9	user	user	NOUN
cana-1086	191	10	agency	agency	NOUN
cana-1086	191	11	and	and	CCONJ
cana-1086	191	12	recommender	recommender	NOUN
cana-1086	191	13	system	system	NOUN
cana-1086	191	14	fairness	fairness	NOUN
cana-1086	191	15	can	can	AUX
cana-1086	191	16	be	be	AUX
cana-1086	191	17	achieved	achieve	VERB
cana-1086	191	18	by	by	ADP
cana-1086	191	19	giving	give	VERB
cana-1086	191	20	users	user	NOUN
cana-1086	191	21	more	more	ADV
cana-1086	191	22	precise	precise	ADJ
cana-1086	191	23	control	control	NOUN
cana-1086	191	24	over	over	ADP
cana-1086	191	25	how	how	SCONJ
cana-1086	191	26	their	their	PRON
cana-1086	191	27	data	datum	NOUN
cana-1086	191	28	is	be	AUX
cana-1086	191	29	utilised	utilise	VERB
cana-1086	191	30	for	for	ADP
cana-1086	191	31	personalisation	personalisation	NOUN
cana-1086	191	32	and	and	CCONJ
cana-1086	191	33	by	by	ADP
cana-1086	191	34	giving	give	VERB
cana-1086	191	35	them	they	PRON
cana-1086	191	36	the	the	DET
cana-1086	191	37	opportunity	opportunity	NOUN
cana-1086	191	38	to	to	PART
cana-1086	191	39	voice	voice	VERB
cana-1086	191	40	concerns	concern	NOUN
cana-1086	191	41	about	about	ADP
cana-1086	191	42	fairness	fairness	NOUN
cana-1086	191	43	[	[	X
cana-1086	191	44	26	26	NUM
cana-1086	191	45	]	]	PUNCT
cana-1086	191	46	.	.	PUNCT
cana-1086	192	1	users	user	NOUN
cana-1086	192	2	may	may	AUX
cana-1086	192	3	be	be	AUX
cana-1086	192	4	able	able	ADJ
cana-1086	192	5	to	to	PART
cana-1086	192	6	modify	modify	VERB
cana-1086	192	7	their	their	PRON
cana-1086	192	8	recommendation	recommendation	NOUN
cana-1086	192	9	profiles	profile	NOUN
cana-1086	192	10	,	,	PUNCT
cana-1086	192	11	report	report	VERB
cana-1086	192	12	recommendations	recommendation	NOUN
cana-1086	192	13	that	that	PRON
cana-1086	192	14	are	be	AUX
cana-1086	192	15	biased	bias	VERB
cana-1086	192	16	,	,	PUNCT
cana-1086	192	17	or	or	CCONJ
cana-1086	192	18	choose	choose	VERB
cana-1086	192	19	not	not	PART
cana-1086	192	20	to	to	PART
cana-1086	192	21	use	use	VERB
cana-1086	192	22	specific	specific	ADJ
cana-1086	192	23	personalisation	personalisation	NOUN
cana-1086	192	24	elements	element	NOUN
cana-1086	192	25	.	.	PUNCT
cana-1086	193	1	•	•	NUM
cana-1086	193	2	interdisciplinary	interdisciplinary	ADJ
cana-1086	193	3	collaboration	collaboration	NOUN
cana-1086	193	4	:	:	PUNCT
cana-1086	193	5	to	to	PART
cana-1086	193	6	create	create	VERB
cana-1086	193	7	strong	strong	ADJ
cana-1086	193	8	fairness	fairness	NOUN
cana-1086	193	9	frameworks	framework	NOUN
cana-1086	193	10	and	and	CCONJ
cana-1086	193	11	handle	handle	VERB
cana-1086	193	12	the	the	DET
cana-1086	193	13	intricate	intricate	ADJ
cana-1086	193	14	societal	societal	ADJ
cana-1086	193	15	ramifications	ramification	NOUN
cana-1086	193	16	of	of	ADP
cana-1086	193	17	bias	bias	NOUN
cana-1086	193	18	in	in	ADP
cana-1086	193	19	recommender	recommender	NOUN
cana-1086	193	20	systems	system	NOUN
cana-1086	193	21	,	,	PUNCT
cana-1086	193	22	cooperation	cooperation	NOUN
cana-1086	193	23	amongst	amongst	ADP
cana-1086	193	24	academics	academic	NOUN
cana-1086	193	25	in	in	ADP
cana-1086	193	26	computer	computer	NOUN
cana-1086	193	27	science	science	NOUN
cana-1086	193	28	,	,	PUNCT
cana-1086	193	29	social	social	ADJ
cana-1086	193	30	sciences	science	NOUN
cana-1086	193	31	,	,	PUNCT
cana-1086	193	32	law	law	NOUN
cana-1086	193	33	,	,	PUNCT
cana-1086	193	34	and	and	CCONJ
cana-1086	193	35	ethics	ethic	NOUN
cana-1086	193	36	is	be	AUX
cana-1086	193	37	essential	essential	ADJ
cana-1086	193	38	[	[	X
cana-1086	193	39	32	32	NUM
cana-1086	193	40	]	]	PUNCT
cana-1086	193	41	.	.	PUNCT
cana-1086	194	1	this	this	PRON
cana-1086	194	2	can	can	AUX
cana-1086	194	3	guarantee	guarantee	VERB
cana-1086	194	4	that	that	SCONJ
cana-1086	194	5	technological	technological	ADJ
cana-1086	194	6	solutions	solution	NOUN
cana-1086	194	7	are	be	AUX
cana-1086	194	8	based	base	VERB
cana-1086	194	9	on	on	ADP
cana-1086	194	10	moral	moral	ADJ
cana-1086	194	11	principles	principle	NOUN
cana-1086	194	12	and	and	CCONJ
cana-1086	194	13	actual	actual	ADJ
cana-1086	194	14	social	social	ADJ
cana-1086	194	15	circumstances	circumstance	NOUN
cana-1086	194	16	.	.	PUNCT
cana-1086	195	1	by	by	ADP
cana-1086	195	2	tackling	tackle	VERB
cana-1086	195	3	these	these	DET
cana-1086	195	4	challenges	challenge	NOUN
cana-1086	195	5	and	and	CCONJ
cana-1086	195	6	pursuing	pursue	VERB
cana-1086	195	7	these	these	DET
cana-1086	195	8	exciting	exciting	ADJ
cana-1086	195	9	research	research	NOUN
cana-1086	195	10	directions	direction	NOUN
cana-1086	195	11	,	,	PUNCT
cana-1086	195	12	we	we	PRON
cana-1086	195	13	can	can	AUX
cana-1086	195	14	move	move	VERB
cana-1086	195	15	closer	close	ADV
cana-1086	195	16	to	to	ADP
cana-1086	195	17	achieving	achieve	VERB
cana-1086	195	18	fair	fair	ADJ
cana-1086	195	19	and	and	CCONJ
cana-1086	195	20	unbiased	unbiased	ADJ
cana-1086	195	21	recommender	recommender	NOUN
cana-1086	195	22	systems	system	NOUN
cana-1086	195	23	that	that	PRON
cana-1086	195	24	benefit	benefit	VERB
cana-1086	195	25	all	all	DET
cana-1086	195	26	users	user	NOUN
cana-1086	195	27	and	and	CCONJ
cana-1086	195	28	contribute	contribute	VERB
cana-1086	195	29	to	to	ADP
cana-1086	195	30	a	a	DET
cana-1086	195	31	more	more	ADV
cana-1086	195	32	equitable	equitable	ADJ
cana-1086	195	33	and	and	CCONJ
cana-1086	195	34	just	just	ADV
cana-1086	195	35	society	society	NOUN
cana-1086	195	36	.	.	PUNCT
cana-1086	196	1	8	8	X
cana-1086	196	2	.	.	X
cana-1086	196	3	conclusion	conclusion	NOUN
cana-1086	196	4	:	:	PUNCT
cana-1086	196	5	recommender	recommender	NOUN
cana-1086	196	6	systems	system	NOUN
cana-1086	196	7	are	be	AUX
cana-1086	196	8	powerful	powerful	ADJ
cana-1086	196	9	tools	tool	NOUN
cana-1086	196	10	that	that	PRON
cana-1086	196	11	shape	shape	VERB
cana-1086	196	12	our	our	PRON
cana-1086	196	13	online	online	ADJ
cana-1086	196	14	experiences	experience	NOUN
cana-1086	196	15	,	,	PUNCT
cana-1086	196	16	but	but	CCONJ
cana-1086	196	17	they	they	PRON
cana-1086	196	18	can	can	AUX
cana-1086	196	19	perpetuate	perpetuate	VERB
cana-1086	196	20	bias	bias	NOUN
cana-1086	196	21	if	if	SCONJ
cana-1086	196	22	left	leave	VERB
cana-1086	196	23	unchecked	unchecked	ADJ
cana-1086	196	24	.	.	PUNCT
cana-1086	197	1	this	this	DET
cana-1086	197	2	review	review	NOUN
cana-1086	197	3	paper	paper	NOUN
cana-1086	197	4	has	have	AUX
cana-1086	197	5	explored	explore	VERB
cana-1086	197	6	the	the	DET
cana-1086	197	7	various	various	ADJ
cana-1086	197	8	sources	source	NOUN
cana-1086	197	9	of	of	ADP
cana-1086	197	10	bias	bias	NOUN
cana-1086	197	11	that	that	PRON
cana-1086	197	12	can	can	AUX
cana-1086	197	13	infiltrate	infiltrate	VERB
cana-1086	197	14	these	these	DET
cana-1086	197	15	systems	system	NOUN
cana-1086	197	16	,	,	PUNCT
cana-1086	197	17	including	include	VERB
cana-1086	197	18	data	datum	NOUN
cana-1086	197	19	imbalances	imbalance	NOUN
cana-1086	197	20	,	,	PUNCT
cana-1086	197	21	algorithmic	algorithmic	ADJ
cana-1086	197	22	limitations	limitation	NOUN
cana-1086	197	23	,	,	PUNCT
cana-1086	197	24	and	and	CCONJ
cana-1086	197	25	even	even	ADV
cana-1086	197	26	societal	societal	ADJ
cana-1086	197	27	prejudices	prejudice	NOUN
cana-1086	197	28	reflected	reflect	VERB
cana-1086	197	29	in	in	ADP
cana-1086	197	30	user	user	NOUN
cana-1086	197	31	data	datum	NOUN
cana-1086	197	32	.	.	PUNCT
cana-1086	198	1	these	these	DET
cana-1086	198	2	biases	bias	NOUN
cana-1086	198	3	can	can	AUX
cana-1086	198	4	have	have	VERB
cana-1086	198	5	a	a	DET
cana-1086	198	6	significant	significant	ADJ
cana-1086	198	7	impact	impact	NOUN
cana-1086	198	8	on	on	ADP
cana-1086	198	9	users	user	NOUN
cana-1086	198	10	,	,	PUNCT
cana-1086	198	11	leading	lead	VERB
cana-1086	198	12	to	to	ADP
cana-1086	198	13	unfair	unfair	ADJ
cana-1086	198	14	outcomes	outcome	NOUN
cana-1086	198	15	like	like	ADP
cana-1086	198	16	unequal	unequal	ADJ
cana-1086	198	17	access	access	NOUN
cana-1086	198	18	to	to	ADP
cana-1086	198	19	opportunities	opportunity	NOUN
cana-1086	198	20	or	or	CCONJ
cana-1086	198	21	exposure	exposure	NOUN
cana-1086	198	22	to	to	ADP
cana-1086	198	23	limited	limited	ADJ
cana-1086	198	24	viewpoints	viewpoint	NOUN
cana-1086	198	25	.	.	PUNCT
cana-1086	199	1	fortunately	fortunately	ADV
cana-1086	199	2	,	,	PUNCT
cana-1086	199	3	researchers	researcher	NOUN
cana-1086	199	4	are	be	AUX
cana-1086	199	5	actively	actively	ADV
cana-1086	199	6	developing	develop	VERB
cana-1086	199	7	methods	method	NOUN
cana-1086	199	8	to	to	PART
cana-1086	199	9	mitigate	mitigate	VERB
cana-1086	199	10	bias	bias	NOUN
cana-1086	199	11	and	and	CCONJ
cana-1086	199	12	promote	promote	VERB
cana-1086	199	13	fairness	fairness	NOUN
cana-1086	199	14	in	in	ADP
cana-1086	199	15	recommender	recommender	NOUN
cana-1086	199	16	systems	system	NOUN
cana-1086	199	17	.	.	PUNCT
cana-1086	200	1	debiasing	debiase	VERB
cana-1086	200	2	techniques	technique	NOUN
cana-1086	200	3	aim	aim	VERB
cana-1086	200	4	to	to	PART
cana-1086	200	5	remove	remove	VERB
cana-1086	200	6	biases	bias	NOUN
cana-1086	200	7	from	from	ADP
cana-1086	200	8	data	datum	NOUN
cana-1086	200	9	or	or	CCONJ
cana-1086	200	10	algorithms	algorithm	NOUN
cana-1086	200	11	,	,	PUNCT
cana-1086	200	12	while	while	SCONJ
cana-1086	200	13	fairness	fairness	NOUN
cana-1086	200	14	-	-	PUNCT
cana-1086	200	15	aware	aware	ADJ
cana-1086	200	16	metrics	metric	NOUN
cana-1086	200	17	help	help	VERB
cana-1086	200	18	us	we	PRON
cana-1086	200	19	evaluate	evaluate	VERB
cana-1086	200	20	systems	system	NOUN
cana-1086	200	21	beyond	beyond	ADP
cana-1086	200	22	just	just	ADV
cana-1086	200	23	accuracy	accuracy	NOUN
cana-1086	200	24	and	and	CCONJ
cana-1086	200	25	ensure	ensure	VERB
cana-1086	200	26	fair	fair	ADJ
cana-1086	200	27	distribution	distribution	NOUN
cana-1086	200	28	of	of	ADP
cana-1086	200	29	recommendations	recommendation	NOUN
cana-1086	200	30	across	across	ADP
cana-1086	200	31	user	user	NOUN
cana-1086	200	32	groups	group	NOUN
cana-1086	200	33	.	.	PUNCT
cana-1086	201	1	transparency	transparency	NOUN
cana-1086	201	2	and	and	CCONJ
cana-1086	201	3	user	user	NOUN
cana-1086	201	4	control	control	NOUN
cana-1086	201	5	are	be	AUX
cana-1086	201	6	also	also	ADV
cana-1086	201	7	crucial	crucial	ADJ
cana-1086	201	8	elements	element	NOUN
cana-1086	201	9	,	,	PUNCT
cana-1086	201	10	allowing	allow	VERB
cana-1086	201	11	users	user	NOUN
cana-1086	201	12	to	to	PART
cana-1086	201	13	understand	understand	VERB
cana-1086	201	14	how	how	SCONJ
cana-1086	201	15	recommendations	recommendation	NOUN
cana-1086	201	16	are	be	AUX
cana-1086	201	17	generated	generate	VERB
cana-1086	201	18	and	and	CCONJ
cana-1086	201	19	giving	give	VERB
cana-1086	201	20	them	they	PRON
cana-1086	201	21	agency	agency	NOUN
cana-1086	201	22	over	over	ADP
cana-1086	201	23	their	their	PRON
cana-1086	201	24	data	data	NOUN
cana-1086	201	25	and	and	CCONJ
cana-1086	201	26	personalization	personalization	NOUN
cana-1086	201	27	experience	experience	NOUN
cana-1086	201	28	.	.	PUNCT
cana-1086	202	1	the	the	DET
cana-1086	202	2	pursuit	pursuit	NOUN
cana-1086	202	3	of	of	ADP
cana-1086	202	4	fair	fair	ADJ
cana-1086	202	5	recommender	recommender	NOUN
cana-1086	202	6	systems	system	NOUN
cana-1086	202	7	is	be	AUX
cana-1086	202	8	an	an	DET
cana-1086	202	9	ongoing	ongoing	ADJ
cana-1086	202	10	journey	journey	NOUN
cana-1086	202	11	.	.	PUNCT
cana-1086	203	1	research	research	NOUN
cana-1086	203	2	is	be	AUX
cana-1086	203	3	needed	need	VERB
cana-1086	203	4	to	to	PART
cana-1086	203	5	develop	develop	VERB
cana-1086	203	6	comprehensive	comprehensive	ADJ
cana-1086	203	7	frameworks	framework	NOUN
cana-1086	203	8	that	that	PRON
cana-1086	203	9	define	define	VERB
cana-1086	203	10	and	and	CCONJ
cana-1086	203	11	measure	measure	NOUN
cana-1086	203	12	fairness	fairness	NOUN
cana-1086	203	13	,	,	PUNCT
cana-1086	203	14	considering	consider	VERB
cana-1086	203	15	the	the	DET
cana-1086	203	16	perspectives	perspective	NOUN
cana-1086	203	17	of	of	ADP
cana-1086	203	18	various	various	ADJ
cana-1086	203	19	stakeholders	stakeholder	NOUN
cana-1086	203	20	and	and	CCONJ
cana-1086	203	21	the	the	DET
cana-1086	203	22	potential	potential	NOUN
cana-1086	203	23	for	for	ADP
cana-1086	203	24	unintended	unintended	ADJ
cana-1086	203	25	consequences	consequence	NOUN
cana-1086	203	26	.	.	PUNCT
cana-1086	204	1	furthermore	furthermore	ADV
cana-1086	204	2	,	,	PUNCT
cana-1086	204	3	balancing	balance	VERB
cana-1086	204	4	fairness	fairness	NOUN
cana-1086	204	5	with	with	ADP
cana-1086	204	6	other	other	ADJ
cana-1086	204	7	goals	goal	NOUN
cana-1086	204	8	like	like	ADP
cana-1086	204	9	accuracy	accuracy	NOUN
cana-1086	204	10	and	and	CCONJ
cana-1086	204	11	personalization	personalization	NOUN
cana-1086	204	12	remains	remain	VERB
cana-1086	204	13	a	a	DET
cana-1086	204	14	challenge	challenge	NOUN
cana-1086	204	15	,	,	PUNCT
cana-1086	204	16	requiring	require	VERB
cana-1086	204	17	innovative	innovative	ADJ
cana-1086	204	18	approaches	approach	NOUN
cana-1086	204	19	that	that	PRON
cana-1086	204	20	can	can	AUX
cana-1086	204	21	optimize	optimize	VERB
cana-1086	204	22	for	for	ADP
cana-1086	204	23	both	both	PRON
cana-1086	204	24	.	.	PUNCT
cana-1086	205	1	privacy	privacy	NOUN
cana-1086	205	2	-	-	PUNCT
cana-1086	205	3	preserving	preserve	VERB
cana-1086	205	4	techniques	technique	NOUN
cana-1086	205	5	for	for	ADP
cana-1086	205	6	debiasing	debiase	VERB
cana-1086	205	7	and	and	CCONJ
cana-1086	205	8	interdisciplinary	interdisciplinary	ADJ
cana-1086	205	9	collaboration	collaboration	NOUN
cana-1086	205	10	between	between	ADP
cana-1086	205	11	computer	computer	NOUN
cana-1086	205	12	scientists	scientist	NOUN
cana-1086	205	13	,	,	PUNCT
cana-1086	205	14	social	social	ADJ
cana-1086	205	15	scientists	scientist	NOUN
cana-1086	205	16	,	,	PUNCT
cana-1086	205	17	and	and	CCONJ
cana-1086	205	18	ethicists	ethicist	NOUN
cana-1086	205	19	are	be	AUX
cana-1086	205	20	also	also	ADV
cana-1086	205	21	crucial	crucial	ADJ
cana-1086	205	22	areas	area	NOUN
cana-1086	205	23	for	for	ADP
cana-1086	205	24	future	future	ADJ
cana-1086	205	25	exploration	exploration	NOUN
cana-1086	205	26	.	.	PUNCT
cana-1086	206	1	these	these	DET
cana-1086	206	2	advancements	advancement	NOUN
cana-1086	206	3	hold	hold	VERB
cana-1086	206	4	significant	significant	ADJ
cana-1086	206	5	implications	implication	NOUN
cana-1086	206	6	for	for	ADP
cana-1086	206	7	recommender	recommender	NOUN
cana-1086	206	8	system	system	NOUN
cana-1086	206	9	designers	designer	NOUN
cana-1086	206	10	and	and	CCONJ
cana-1086	206	11	users	user	NOUN
cana-1086	206	12	.	.	PUNCT
cana-1086	207	1	designers	designer	NOUN
cana-1086	207	2	must	must	AUX
cana-1086	207	3	prioritize	prioritize	VERB
cana-1086	207	4	fairness	fairness	NOUN
cana-1086	207	5	considerations	consideration	NOUN
cana-1086	207	6	throughout	throughout	ADP
cana-1086	207	7	the	the	DET
cana-1086	207	8	development	development	NOUN
cana-1086	207	9	process	process	NOUN
cana-1086	207	10	,	,	PUNCT
cana-1086	207	11	employing	employ	VERB
cana-1086	207	12	robust	robust	ADJ
cana-1086	207	13	debiasing	debiasing	ADJ
cana-1086	207	14	techniques	technique	NOUN
cana-1086	207	15	and	and	CCONJ
cana-1086	207	16	fairness	fairness	NOUN
cana-1086	207	17	-	-	PUNCT
cana-1086	207	18	aware	aware	ADJ
cana-1086	207	19	evaluation	evaluation	NOUN
cana-1086	207	20	metrics	metric	NOUN
cana-1086	207	21	.	.	PUNCT
cana-1086	208	1	transparency	transparency	NOUN
cana-1086	208	2	tools	tool	NOUN
cana-1086	208	3	and	and	CCONJ
cana-1086	208	4	user	user	NOUN
cana-1086	208	5	controls	control	NOUN
cana-1086	208	6	empower	empower	NOUN
cana-1086	208	7	users	user	NOUN
cana-1086	208	8	to	to	PART
cana-1086	208	9	understand	understand	VERB
cana-1086	208	10	these	these	DET
cana-1086	208	11	systems	system	NOUN
cana-1086	208	12	and	and	CCONJ
cana-1086	208	13	advocate	advocate	VERB
cana-1086	208	14	for	for	ADP
cana-1086	208	15	their	their	PRON
cana-1086	208	16	fair	fair	ADJ
cana-1086	208	17	treatment	treatment	NOUN
cana-1086	208	18	.	.	PUNCT
cana-1086	209	1	ultimately	ultimately	ADV
cana-1086	209	2	,	,	PUNCT
cana-1086	209	3	by	by	ADP
cana-1086	209	4	working	work	VERB
cana-1086	209	5	together	together	ADV
cana-1086	209	6	,	,	PUNCT
cana-1086	209	7	researchers	researcher	NOUN
cana-1086	209	8	,	,	PUNCT
cana-1086	209	9	developers	developer	NOUN
cana-1086	209	10	,	,	PUNCT
cana-1086	209	11	and	and	CCONJ
cana-1086	209	12	users	user	NOUN
cana-1086	209	13	can	can	AUX
cana-1086	209	14	create	create	VERB
cana-1086	209	15	fairer	fair	ADJ
cana-1086	209	16	and	and	CCONJ
cana-1086	209	17	more	more	ADV
cana-1086	209	18	equitable	equitable	ADJ
cana-1086	209	19	recommender	recommender	NOUN
cana-1086	209	20	systems	system	NOUN
cana-1086	209	21	that	that	PRON
cana-1086	209	22	benefit	benefit	VERB
cana-1086	209	23	all	all	PRON
cana-1086	209	24	and	and	CCONJ
cana-1086	209	25	contribute	contribute	VERB
cana-1086	209	26	to	to	ADP
cana-1086	209	27	a	a	DET
cana-1086	209	28	more	more	ADV
cana-1086	209	29	just	just	ADJ
cana-1086	209	30	and	and	CCONJ
cana-1086	209	31	inclusive	inclusive	ADJ
cana-1086	209	32	online	online	ADJ
cana-1086	209	33	environment	environment	NOUN
cana-1086	209	34	.	.	PUNCT
cana-1086	210	1	communications	communication	NOUN
cana-1086	210	2	on	on	ADP
cana-1086	210	3	applied	apply	VERB
cana-1086	210	4	nonlinear	nonlinear	ADJ
cana-1086	210	5	analysis	analysis	NOUN
cana-1086	210	6	issn	issn	NOUN
cana-1086	210	7	:	:	PUNCT
cana-1086	210	8	1074	1074	NUM
cana-1086	210	9	-	-	PUNCT
cana-1086	210	10	133x	133x	NUM
cana-1086	210	11	vol	vol	NOUN
cana-1086	210	12	31	31	NUM
cana-1086	210	13	no	no	NOUN
cana-1086	210	14	.	.	PUNCT
cana-1086	211	1	5s	5s	NUM
cana-1086	211	2	(	(	PUNCT
cana-1086	211	3	2024	2024	NUM
cana-1086	211	4	)	)	PUNCT
cana-1086	212	1	517	517	NUM
cana-1086	212	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-1086	212	3	declarations	declaration	NOUN
cana-1086	212	4	funding	fund	VERB
cana-1086	212	5	information	information	NOUN
cana-1086	212	6	no	no	DET
cana-1086	212	7	funding	funding	NOUN
cana-1086	212	8	was	be	AUX
cana-1086	212	9	involved	involve	VERB
cana-1086	212	10	in	in	ADP
cana-1086	212	11	the	the	DET
cana-1086	212	12	present	present	ADJ
cana-1086	212	13	work	work	NOUN
cana-1086	212	14	.	.	PUNCT
cana-1086	213	1	conflicts	conflict	NOUN
cana-1086	213	2	of	of	ADP
cana-1086	213	3	interest	interest	NOUN
cana-1086	213	4	authors	author	NOUN
cana-1086	213	5	declare	declare	VERB
cana-1086	213	6	that	that	SCONJ
cana-1086	213	7	there	there	PRON
cana-1086	213	8	is	be	VERB
cana-1086	213	9	no	no	DET
cana-1086	213	10	conflict	conflict	NOUN
cana-1086	213	11	of	of	ADP
cana-1086	213	12	interest	interest	NOUN
cana-1086	213	13	.	.	PUNCT
cana-1086	214	1	code	code	NOUN
cana-1086	214	2	availability	availability	NOUN
cana-1086	214	3	the	the	DET
cana-1086	214	4	codes	code	NOUN
cana-1086	214	5	will	will	AUX
cana-1086	214	6	be	be	AUX
cana-1086	214	7	made	make	VERB
cana-1086	214	8	available	available	ADJ
cana-1086	214	9	upon	upon	SCONJ
cana-1086	214	10	reasonable	reasonable	ADJ
cana-1086	214	11	request	request	NOUN
cana-1086	214	12	to	to	ADP
cana-1086	214	13	the	the	DET
cana-1086	214	14	authors	author	NOUN
cana-1086	214	15	.	.	PUNCT
cana-1086	215	1	authors	author	NOUN
cana-1086	215	2	contributions	contribution	VERB
cana-1086	215	3	the	the	DET
cana-1086	215	4	work	work	NOUN
cana-1086	215	5	presented	present	VERB
cana-1086	215	6	in	in	ADP
cana-1086	215	7	the	the	DET
cana-1086	215	8	paper	paper	NOUN
cana-1086	215	9	was	be	AUX
cana-1086	215	10	primarily	primarily	ADV
cana-1086	215	11	done	do	VERB
cana-1086	215	12	by	by	ADP
cana-1086	215	13	first	first	ADJ
cana-1086	215	14	author	author	NOUN
cana-1086	215	15	,	,	PUNCT
cana-1086	215	16	including	include	VERB
cana-1086	215	17	conceptualization	conceptualization	NOUN
cana-1086	215	18	,	,	PUNCT
cana-1086	215	19	literature	literature	NOUN
cana-1086	215	20	reading	reading	NOUN
cana-1086	215	21	,	,	PUNCT
cana-1086	215	22	data	datum	NOUN
cana-1086	215	23	gathering	gathering	NOUN
cana-1086	215	24	,	,	PUNCT
cana-1086	215	25	coding	coding	NOUN
cana-1086	215	26	,	,	PUNCT
cana-1086	215	27	result	result	VERB
cana-1086	215	28	analysis	analysis	NOUN
cana-1086	215	29	,	,	PUNCT
cana-1086	215	30	and	and	CCONJ
cana-1086	215	31	manuscript	manuscript	NOUN
cana-1086	215	32	writing	writing	NOUN
cana-1086	215	33	.	.	PUNCT
cana-1086	216	1	a	a	DET
cana-1086	216	2	review	review	NOUN
cana-1086	216	3	was	be	AUX
cana-1086	216	4	conducted	conduct	VERB
cana-1086	216	5	by	by	ADP
cana-1086	216	6	second	second	ADJ
cana-1086	216	7	author	author	NOUN
cana-1086	216	8	,	,	PUNCT
cana-1086	216	9	and	and	CCONJ
cana-1086	216	10	visualization	visualization	NOUN
cana-1086	216	11	work	work	NOUN
cana-1086	216	12	was	be	AUX
cana-1086	216	13	carried	carry	VERB
cana-1086	216	14	out	out	ADP
cana-1086	216	15	by	by	ADP
cana-1086	216	16	both	both	DET
cana-1086	216	17	authors	author	NOUN
cana-1086	216	18	.	.	PUNCT
cana-1086	217	1	refrences	refrence	VERB
cana-1086	218	1	[	[	X
cana-1086	218	2	1	1	X
cana-1086	218	3	]	]	PUNCT
cana-1086	218	4	e.	e.	PROPN
cana-1086	218	5	a.	a.	PROPN
cana-1086	218	6	zhang	zhang	PROPN
cana-1086	218	7	,	,	PUNCT
cana-1086	218	8	yifan	yifan	PROPN
cana-1086	218	9	,	,	PUNCT
cana-1086	218	10	modeling	model	VERB
cana-1086	218	11	clickstream	clickstream	NOUN
cana-1086	218	12	for	for	ADP
cana-1086	218	13	effective	effective	ADJ
cana-1086	218	14	and	and	CCONJ
cana-1086	218	15	scalable	scalable	ADJ
cana-1086	218	16	coldstart	coldstart	NOUN
cana-1086	218	17	recommendation	recommendation	NOUN
cana-1086	218	18	,	,	PUNCT
cana-1086	218	19	proceedings	proceeding	NOUN
cana-1086	218	20	of	of	ADP
cana-1086	218	21	the	the	DET
cana-1086	218	22	18th	18th	ADJ
cana-1086	218	23	acm	acm	NOUN
cana-1086	218	24	sigkdd	sigkdd	NOUN
cana-1086	218	25	international	international	ADJ
cana-1086	218	26	conference	conference	NOUN
cana-1086	218	27	on	on	ADP
cana-1086	218	28	knowledge	knowledge	NOUN
cana-1086	218	29	discovery	discovery	PROPN
cana-1086	218	30	and	and	CCONJ
cana-1086	218	31	data	datum	NOUN
cana-1086	218	32	mining	mining	NOUN
cana-1086	218	33	,	,	PUNCT
cana-1086	218	34	2014	2014	NUM
cana-1086	218	35	.	.	PUNCT
cana-1086	219	1	[	[	X
cana-1086	219	2	2	2	X
cana-1086	219	3	]	]	X
cana-1086	219	4	h.	h.	NOUN
cana-1086	219	5	abdollahpouri	abdollahpouri	PROPN
cana-1086	219	6	,	,	PUNCT
cana-1086	219	7	popularity	popularity	NOUN
cana-1086	219	8	bias	bias	NOUN
cana-1086	219	9	in	in	ADP
cana-1086	219	10	recommendation	recommendation	NOUN
cana-1086	219	11	:	:	PUNCT
cana-1086	219	12	a	a	DET
cana-1086	219	13	multistakeholder	multistakeholder	NOUN
cana-1086	219	14	perspective	perspective	NOUN
cana-1086	219	15	,	,	PUNCT
cana-1086	219	16	2020	2020	NUM
cana-1086	219	17	.	.	PUNCT
cana-1086	220	1	arxiv:2008.08551	arxiv:2008.08551	PROPN
cana-1086	220	2	.	.	PUNCT
cana-1086	221	1	[	[	X
cana-1086	221	2	3	3	NUM
cana-1086	221	3	]	]	X
cana-1086	221	4	n.	n.	PROPN
cana-1086	221	5	neophytou	neophytou	PROPN
cana-1086	221	6	,	,	PUNCT
cana-1086	221	7	b.	b.	PROPN
cana-1086	221	8	mitra	mitra	PROPN
cana-1086	221	9	,	,	PUNCT
cana-1086	221	10	c.	c.	PROPN
cana-1086	221	11	stinson	stinson	PROPN
cana-1086	221	12	,	,	PUNCT
cana-1086	221	13	revisiting	revisit	VERB
cana-1086	221	14	popularity	popularity	NOUN
cana-1086	221	15	,	,	PUNCT
cana-1086	221	16	and	and	CCONJ
cana-1086	221	17	demographic	demographic	ADJ
cana-1086	221	18	biases	bias	NOUN
cana-1086	221	19	in	in	ADP
cana-1086	221	20	recommender	recommender	NOUN
cana-1086	221	21	evaluation	evaluation	NOUN
cana-1086	221	22	and	and	CCONJ
cana-1086	221	23	effectiveness	effectiveness	NOUN
cana-1086	221	24	,	,	PUNCT
cana-1086	221	25	in	in	ADP
cana-1086	221	26	:	:	PUNCT
cana-1086	221	27	m.	m.	NOUN
cana-1086	221	28	hagen	hagen	PROPN
cana-1086	221	29	,	,	PUNCT
cana-1086	221	30	s.	s.	PROPN
cana-1086	221	31	verberne	verberne	PROPN
cana-1086	221	32	,	,	PUNCT
cana-1086	221	33	c.	c.	PROPN
cana-1086	221	34	macdonald	macdonald	PROPN
cana-1086	221	35	,	,	PUNCT
cana-1086	221	36	c.	c.	PROPN
cana-1086	221	37	seifert	seifert	PROPN
cana-1086	221	38	,	,	PUNCT
cana-1086	221	39	k.	k.	PROPN
cana-1086	221	40	balog	balog	PROPN
cana-1086	221	41	,	,	PUNCT
cana-1086	221	42	k.	k.	PROPN
cana-1086	221	43	norvag	norvag	PROPN
cana-1086	221	44	,	,	PUNCT
cana-1086	221	45	v.	v.	ADP
cana-1086	221	46	setty	setty	PROPN
cana-1086	221	47	(	(	PUNCT
cana-1086	221	48	eds	ed	NOUN
cana-1086	221	49	.	.	PUNCT
cana-1086	221	50	)	)	PUNCT
cana-1086	221	51	,	,	PUNCT
cana-1086	221	52	advances	advance	VERB
cana-1086	221	53	in	in	ADP
cana-1086	221	54	information	information	NOUN
cana-1086	221	55	retrieval	retrieval	NOUN
cana-1086	221	56	,	,	PUNCT
cana-1086	221	57	springer	springer	NOUN
cana-1086	221	58	international	international	ADJ
cana-1086	221	59	publishing	publishing	NOUN
cana-1086	221	60	,	,	PUNCT
cana-1086	221	61	cham	cham	NOUN
cana-1086	221	62	,	,	PUNCT
cana-1086	221	63	2022	2022	NUM
cana-1086	221	64	,	,	PUNCT
cana-1086	221	65	pp	pp	ADJ
cana-1086	221	66	.	.	PUNCT
cana-1086	222	1	641–654	641–654	NUM
cana-1086	222	2	.	.	PUNCT
cana-1086	223	1	[	[	X
cana-1086	223	2	4	4	X
cana-1086	223	3	]	]	PUNCT
cana-1086	223	4	h.	h.	PROPN
cana-1086	223	5	yoo	yoo	PROPN
cana-1086	223	6	,	,	PUNCT
cana-1086	223	7	z.	z.	PROPN
cana-1086	223	8	zeng	zeng	PROPN
cana-1086	223	9	,	,	PUNCT
cana-1086	223	10	j.	j.	PROPN
cana-1086	223	11	kang	kang	PROPN
cana-1086	223	12	,	,	PUNCT
cana-1086	223	13	r.	r.	PROPN
cana-1086	223	14	qiu	qiu	PROPN
cana-1086	223	15	,	,	PUNCT
cana-1086	223	16	d.	d.	PROPN
cana-1086	223	17	zhou	zhou	PROPN
cana-1086	223	18	,	,	PUNCT
cana-1086	223	19	z.	z.	PROPN
cana-1086	223	20	liu	liu	PROPN
cana-1086	223	21	,	,	PUNCT
cana-1086	223	22	f.	f.	PROPN
cana-1086	223	23	wang	wang	PROPN
cana-1086	223	24	,	,	PUNCT
cana-1086	223	25	c.	c.	PROPN
cana-1086	223	26	xu	xu	PROPN
cana-1086	223	27	,	,	PUNCT
cana-1086	223	28	e.	e.	PROPN
cana-1086	223	29	chan	chan	PROPN
cana-1086	223	30	,	,	PUNCT
cana-1086	223	31	h.	h.	PROPN
cana-1086	223	32	tong	tong	PROPN
cana-1086	223	33	,	,	PUNCT
cana-1086	223	34	ensuring	ensure	VERB
cana-1086	223	35	user	user	NOUN
cana-1086	223	36	-	-	PUNCT
cana-1086	223	37	side	side	NOUN
cana-1086	223	38	fairness	fairness	NOUN
cana-1086	223	39	in	in	ADP
cana-1086	223	40	dynamic	dynamic	ADJ
cana-1086	223	41	recommender	recommender	NOUN
cana-1086	223	42	systems	system	NOUN
cana-1086	223	43	,	,	PUNCT
cana-1086	223	44	in	in	ADP
cana-1086	223	45	:	:	PUNCT
cana-1086	223	46	t.	t.	PROPN
cana-1086	223	47	chua	chua	PROPN
cana-1086	223	48	,	,	PUNCT
cana-1086	223	49	c.	c.	PROPN
cana-1086	223	50	ngo	ngo	PROPN
cana-1086	223	51	,	,	PUNCT
cana-1086	223	52	r.	r.	PROPN
cana-1086	223	53	kumar	kumar	PROPN
cana-1086	223	54	,	,	PUNCT
cana-1086	223	55	h.	h.	PROPN
cana-1086	223	56	w.	w.	PROPN
cana-1086	223	57	lauw	lauw	PROPN
cana-1086	223	58	,	,	PUNCT
cana-1086	223	59	r.	r.	PROPN
cana-1086	223	60	k.	k.	PROPN
cana-1086	223	61	lee	lee	PROPN
cana-1086	223	62	(	(	PUNCT
cana-1086	223	63	eds	eds	PROPN
cana-1086	223	64	.	.	PUNCT
cana-1086	223	65	)	)	PUNCT
cana-1086	223	66	,	,	PUNCT
cana-1086	223	67	proceedings	proceeding	NOUN
cana-1086	223	68	of	of	ADP
cana-1086	223	69	the	the	DET
cana-1086	223	70	acm	acm	NOUN
cana-1086	223	71	on	on	ADP
cana-1086	223	72	web	web	NOUN
cana-1086	223	73	conference	conference	NOUN
cana-1086	223	74	2024	2024	NUM
cana-1086	223	75	,	,	PUNCT
cana-1086	223	76	www	www	NOUN
cana-1086	223	77	2024	2024	NUM
cana-1086	223	78	,	,	PUNCT
cana-1086	223	79	singapore	singapore	PROPN
cana-1086	223	80	,	,	PUNCT
cana-1086	223	81	may	may	AUX
cana-1086	223	82	13	13	NUM
cana-1086	223	83	-	-	SYM
cana-1086	223	84	17	17	NUM
cana-1086	223	85	,	,	PUNCT
cana-1086	223	86	2024	2024	NUM
cana-1086	223	87	,	,	PUNCT
cana-1086	223	88	acm	acm	NOUN
cana-1086	223	89	,	,	PUNCT
cana-1086	223	90	2024	2024	NUM
cana-1086	223	91	,	,	PUNCT
cana-1086	223	92	pp	pp	X
cana-1086	223	93	.	.	PUNCT
cana-1086	224	1	3667–3678	3667–3678	NUM
cana-1086	224	2	.	.	PUNCT
cana-1086	225	1	doi:10.1145/3589334.3645536	doi:10.1145/3589334.3645536	NOUN
cana-1086	225	2	.	.	PUNCT
cana-1086	226	1	url	url	PROPN
cana-1086	226	2	https://doi.org/10.1145/3589334.3645536	https://doi.org/10.1145/3589334.3645536	NOUN
cana-1086	227	1	[	[	X
cana-1086	227	2	5	5	NUM
cana-1086	227	3	]	]	PUNCT
cana-1086	228	1	m.	m.	NOUN
cana-1086	228	2	h.	h.	PROPN
cana-1086	229	1	t.	t.	PROPN
cana-1086	229	2	p.	p.	PROPN
cana-1086	230	1	o.	o.	PROPN
cana-1086	230	2	r.	r.	PROPN
cana-1086	230	3	dwork	dwork	PROPN
cana-1086	230	4	,	,	PUNCT
cana-1086	230	5	cynthia	cynthia	PROPN
cana-1086	230	6	,	,	PUNCT
cana-1086	230	7	s.	s.	PROPN
cana-1086	230	8	oh	oh	INTJ
cana-1086	230	9	,	,	PUNCT
cana-1086	230	10	fairness	fairness	NOUN
cana-1086	230	11	through	through	ADP
cana-1086	230	12	awareness	awareness	NOUN
cana-1086	230	13	,	,	PUNCT
cana-1086	230	14	2012	2012	NUM
cana-1086	230	15	.	.	PUNCT
cana-1086	231	1	[	[	X
cana-1086	231	2	6	6	NUM
cana-1086	231	3	]	]	PUNCT
cana-1086	231	4	e.	e.	PROPN
cana-1086	231	5	a.	a.	PROPN
cana-1086	231	6	selbst	selbst	PROPN
cana-1086	231	7	,	,	PUNCT
cana-1086	231	8	adrianna	adrianna	PROPN
cana-1086	231	9	,	,	PUNCT
cana-1086	231	10	fairness	fairness	NOUN
cana-1086	231	11	and	and	CCONJ
cana-1086	231	12	abstraction	abstraction	NOUN
cana-1086	231	13	in	in	ADP
cana-1086	231	14	sociotechnical	sociotechnical	ADJ
cana-1086	231	15	systems	system	NOUN
cana-1086	231	16	,	,	PUNCT
cana-1086	231	17	fat	fat	NOUN
cana-1086	231	18	*	*	SYM
cana-1086	231	19	’	'	PUNCT
cana-1086	231	20	19	19	NUM
cana-1086	231	21	:	:	PUNCT
cana-1086	231	22	proceedings	proceeding	NOUN
cana-1086	231	23	of	of	ADP
cana-1086	231	24	the	the	DET
cana-1086	231	25	conference	conference	NOUN
cana-1086	231	26	on	on	ADP
cana-1086	231	27	fairness	fairness	NOUN
cana-1086	231	28	,	,	PUNCT
cana-1086	231	29	accountability	accountability	NOUN
cana-1086	231	30	,	,	PUNCT
cana-1086	231	31	and	and	CCONJ
cana-1086	231	32	transparency	transparency	NOUN
cana-1086	231	33	,	,	PUNCT
cana-1086	231	34	2019	2019	NUM
cana-1086	231	35	,	,	PUNCT
cana-1086	231	36	pp	pp	ADJ
cana-1086	231	37	.	.	PUNCT
cana-1086	232	1	59–68	59–68	X
cana-1086	232	2	.	.	PUNCT
cana-1086	233	1	[	[	X
cana-1086	233	2	7	7	X
cana-1086	233	3	]	]	X
cana-1086	233	4	s.	s.	PROPN
cana-1086	233	5	r.	r.	PROPN
cana-1086	233	6	pedreschi	pedreschi	PROPN
cana-1086	233	7	,	,	PUNCT
cana-1086	233	8	fosca	fosca	NUM
cana-1086	233	9	,	,	PUNCT
cana-1086	233	10	m.	m.	NOUN
cana-1086	233	11	giannotti	giannotti	NOUN
cana-1086	233	12	,	,	PUNCT
cana-1086	233	13	integrating	integrate	VERB
cana-1086	233	14	inductive	inductive	ADJ
cana-1086	233	15	data	datum	NOUN
cana-1086	233	16	mining	mining	NOUN
cana-1086	233	17	with	with	ADP
cana-1086	233	18	complementary	complementary	ADJ
cana-1086	233	19	knowledge	knowledge	NOUN
cana-1086	233	20	:	:	PUNCT
cana-1086	233	21	a	a	DET
cana-1086	233	22	review	review	NOUN
cana-1086	233	23	of	of	ADP
cana-1086	233	24	support	support	NOUN
cana-1086	233	25	for	for	ADP
cana-1086	233	26	constraint	constraint	NOUN
cana-1086	233	27	-	-	PUNCT
cana-1086	233	28	based	base	VERB
cana-1086	233	29	mining	mining	NOUN
cana-1086	233	30	,	,	PUNCT
cana-1086	233	31	in	in	ADP
cana-1086	233	32	:	:	PUNCT
cana-1086	233	33	knowledge	knowledge	NOUN
cana-1086	233	34	and	and	CCONJ
cana-1086	233	35	information	information	NOUN
cana-1086	233	36	systems	system	NOUN
cana-1086	233	37	,	,	PUNCT
cana-1086	233	38	2012	2012	NUM
cana-1086	233	39	,	,	PUNCT
cana-1086	233	40	pp	pp	ADV
cana-1086	233	41	.	.	PUNCT
cana-1086	233	42	197	197	NUM
cana-1086	233	43	–	–	PUNCT
cana-1086	233	44	219	219	NUM
cana-1086	233	45	.	.	PUNCT
cana-1086	234	1	[	[	X
cana-1086	234	2	8	8	NUM
cana-1086	234	3	]	]	PUNCT
cana-1086	234	4	m.	m.	NOUN
cana-1086	234	5	h.	h.	PROPN
cana-1086	234	6	barocas	barocas	PROPN
cana-1086	234	7	,	,	PUNCT
cana-1086	234	8	solon	solon	PROPN
cana-1086	234	9	,	,	PUNCT
cana-1086	234	10	a.	a.	PROPN
cana-1086	234	11	narayanan	narayanan	PROPN
cana-1086	234	12	,	,	PUNCT
cana-1086	234	13	fairness	fairness	NOUN
cana-1086	234	14	and	and	CCONJ
cana-1086	234	15	machine	machine	NOUN
cana-1086	234	16	learning	learning	NOUN
cana-1086	234	17	,	,	PUNCT
cana-1086	234	18	2019	2019	NUM
cana-1086	234	19	.	.	PUNCT
cana-1086	235	1	[	[	X
cana-1086	235	2	9	9	NUM
cana-1086	235	3	]	]	PUNCT
cana-1086	235	4	p.	p.	NOUN
cana-1086	235	5	e.	e.	PROPN
cana-1086	235	6	s.	s.	PROPN
cana-1086	235	7	e.	e.	PROPN
cana-1086	235	8	t.	t.	PROPN
cana-1086	235	9	m.	m.	PROPN
cana-1086	235	10	hardt	hardt	PROPN
cana-1086	235	11	,	,	PUNCT
cana-1086	235	12	m.	m.	NOUN
cana-1086	235	13	,	,	PUNCT
cana-1086	235	14	machine	machine	NOUN
cana-1086	235	15	learning	learning	NOUN
cana-1086	235	16	and	and	CCONJ
cana-1086	235	17	algorithmic	algorithmic	ADJ
cana-1086	235	18	fairness	fairness	NOUN
cana-1086	235	19	,	,	PUNCT
cana-1086	235	20	arxiv	arxiv	PROPN
cana-1086	235	21	preprint	preprint	VERB
cana-1086	235	22	arxiv:1606.08653	arxiv:1606.08653	PROPN
cana-1086	235	23	,	,	PUNCT
cana-1086	235	24	2016	2016	NUM
cana-1086	235	25	.	.	PUNCT
cana-1086	236	1	[	[	X
cana-1086	236	2	10	10	NUM
cana-1086	236	3	]	]	PUNCT
cana-1086	236	4	s.	s.	PROPN
cana-1086	236	5	s.	s.	PROPN
cana-1086	236	6	a.	a.	PROPN
cana-1086	236	7	b.	b.	PROPN
cana-1086	236	8	mehra	mehra	PROPN
cana-1086	236	9	,	,	PUNCT
cana-1086	236	10	siddhartha	siddhartha	PROPN
cana-1086	236	11	,	,	PUNCT
cana-1086	236	12	a.	a.	NOUN
cana-1086	236	13	rajagopal	rajagopal	PROPN
cana-1086	236	14	.	.	PUNCT
cana-1086	236	15	,	,	PUNCT
cana-1086	236	16	evaluating	evaluate	VERB
cana-1086	236	17	bias	bias	NOUN
cana-1086	236	18	in	in	ADP
cana-1086	236	19	machine	machine	NOUN
cana-1086	236	20	learning	learn	VERB
cana-1086	236	21	algorithms	algorithm	NOUN
cana-1086	236	22	:	:	PUNCT
cana-1086	236	23	a	a	DET
cana-1086	236	24	survey	survey	NOUN
cana-1086	236	25	,	,	PUNCT
cana-1086	236	26	2019	2019	NUM
cana-1086	236	27	.	.	PUNCT
cana-1086	237	1	[	[	X
cana-1086	237	2	11	11	NUM
cana-1086	237	3	]	]	X
cana-1086	237	4	c.	c.	PROPN
cana-1086	237	5	o.	o.	PROPN
cana-1086	237	6	j.	j.	PROPN
cana-1086	238	1	s.	s.	PROPN
cana-1086	238	2	p.	p.	PROPN
cana-1086	238	3	c.	c.	PROPN
cana-1086	238	4	j.	j.	PROPN
cana-1086	238	5	s.	s.	PROPN
cana-1086	238	6	amodei	amodei	PROPN
cana-1086	238	7	,	,	PUNCT
cana-1086	238	8	dario	dario	PROPN
cana-1086	238	9	,	,	PUNCT
cana-1086	238	10	i.	i.	PROPN
cana-1086	238	11	sutskever	sutskever	PROPN
cana-1086	238	12	,	,	PUNCT
cana-1086	238	13	concrete	concrete	ADJ
cana-1086	238	14	problems	problem	NOUN
cana-1086	238	15	in	in	ADP
cana-1086	238	16	ai	ai	PROPN
cana-1086	238	17	safety	safety	NOUN
cana-1086	238	18	,	,	PUNCT
cana-1086	238	19	arxiv	arxiv	PROPN
cana-1086	238	20	preprint	preprint	NOUN
cana-1086	238	21	arxiv:1606.06565	arxiv:1606.06565	PROPN
cana-1086	238	22	,	,	PUNCT
cana-1086	238	23	2016	2016	NUM
cana-1086	238	24	.	.	PUNCT
cana-1086	239	1	[	[	X
cana-1086	239	2	12	12	NUM
cana-1086	239	3	]	]	PUNCT
cana-1086	239	4	s.	s.	PROPN
cana-1086	239	5	s.	s.	PROPN
cana-1086	239	6	mitchell	mitchell	PROPN
cana-1086	239	7	,	,	PUNCT
cana-1086	239	8	melanie	melanie	PROPN
cana-1086	239	9	,	,	PUNCT
cana-1086	239	10	e.	e.	PROPN
cana-1086	239	11	brynjolfsson	brynjolfsson	PROPN
cana-1086	239	12	,	,	PUNCT
cana-1086	239	13	algorithmic	algorithmic	ADJ
cana-1086	239	14	fairness	fairness	NOUN
cana-1086	239	15	in	in	ADP
cana-1086	239	16	practice	practice	NOUN
cana-1086	239	17	,	,	PUNCT
cana-1086	239	18	nature	nature	NOUN
cana-1086	239	19	568.7753	568.7753	NUM
cana-1086	239	20	,	,	PUNCT
cana-1086	239	21	2019	2019	NUM
cana-1086	239	22	,	,	PUNCT
cana-1086	239	23	pp	pp	ADJ
cana-1086	239	24	.	.	PUNCT
cana-1086	240	1	77–81	77–81	X
cana-1086	240	2	.	.	PUNCT
cana-1086	241	1	[	[	X
cana-1086	241	2	13	13	NUM
cana-1086	241	3	]	]	PUNCT
cana-1086	241	4	e.	e.	PROPN
cana-1086	241	5	a.	a.	PROPN
cana-1086	241	6	eynul	eynul	PROPN
cana-1086	241	7	,	,	PUNCT
cana-1086	241	8	talha	talha	NOUN
cana-1086	241	9	,	,	PUNCT
cana-1086	241	10	fairness	fairness	NOUN
cana-1086	241	11	in	in	ADP
cana-1086	241	12	recommendation	recommendation	NOUN
cana-1086	241	13	systems	system	NOUN
cana-1086	241	14	:	:	PUNCT
cana-1086	241	15	a	a	DET
cana-1086	241	16	survey	survey	NOUN
cana-1086	241	17	,	,	PUNCT
cana-1086	241	18	acm	acm	PROPN
cana-1086	241	19	computing	computing	NOUN
cana-1086	241	20	surveys	survey	NOUN
cana-1086	241	21	(	(	PUNCT
cana-1086	241	22	csur	csur	NOUN
cana-1086	241	23	)	)	PUNCT
cana-1086	241	24	54.1	54.1	NUM
cana-1086	241	25	,	,	PUNCT
cana-1086	241	26	2020	2020	NUM
cana-1086	241	27	,	,	PUNCT
cana-1086	241	28	pp	pp	ADV
cana-1086	241	29	.	.	PUNCT
cana-1086	242	1	1–36	1–36	INTJ
cana-1086	242	2	.	.	PUNCT
cana-1086	243	1	[	[	X
cana-1086	243	2	14	14	NUM
cana-1086	243	3	]	]	X
cana-1086	243	4	e.	e.	PROPN
cana-1086	243	5	a.	a.	PROPN
cana-1086	243	6	ekstrand	ekstrand	PROPN
cana-1086	243	7	,	,	PUNCT
cana-1086	243	8	michael	michael	PROPN
cana-1086	243	9	,	,	PUNCT
cana-1086	243	10	algorithmic	algorithmic	ADJ
cana-1086	243	11	bias	bias	NOUN
cana-1086	243	12	in	in	ADP
cana-1086	243	13	social	social	ADJ
cana-1086	243	14	news	news	NOUN
cana-1086	243	15	recommender	recommender	NOUN
cana-1086	243	16	systems	system	NOUN
cana-1086	243	17	,	,	PUNCT
cana-1086	243	18	proceedings	proceeding	NOUN
cana-1086	243	19	of	of	ADP
cana-1086	243	20	the	the	DET
cana-1086	243	21	2019	2019	NUM
cana-1086	243	22	conference	conference	NOUN
cana-1086	243	23	on	on	ADP
cana-1086	243	24	fairness	fairness	NOUN
cana-1086	243	25	,	,	PUNCT
cana-1086	243	26	accountability	accountability	NOUN
cana-1086	243	27	,	,	PUNCT
cana-1086	243	28	and	and	CCONJ
cana-1086	243	29	transparency	transparency	NOUN
cana-1086	243	30	,	,	PUNCT
cana-1086	243	31	2019	2019	NUM
cana-1086	243	32	.	.	PUNCT
cana-1086	244	1	[	[	X
cana-1086	244	2	15	15	NUM
cana-1086	244	3	]	]	X
cana-1086	244	4	e.	e.	PROPN
cana-1086	244	5	a.	a.	PROPN
cana-1086	244	6	liu	liu	PROPN
cana-1086	244	7	,	,	PUNCT
cana-1086	244	8	liyuan	liyuan	PROPN
cana-1086	244	9	,	,	PUNCT
cana-1086	244	10	fairness	fairness	NOUN
cana-1086	244	11	in	in	ADP
cana-1086	244	12	recommender	recommender	NOUN
cana-1086	244	13	systems	system	NOUN
cana-1086	244	14	:	:	PUNCT
cana-1086	244	15	a	a	DET
cana-1086	244	16	fairness	fairness	NOUN
cana-1086	244	17	-	-	PUNCT
cana-1086	244	18	aware	aware	ADJ
cana-1086	244	19	ranking	ranking	ADJ
cana-1086	244	20	approach	approach	NOUN
cana-1086	244	21	,	,	PUNCT
cana-1086	244	22	knowledge	knowledge	NOUN
cana-1086	244	23	and	and	CCONJ
cana-1086	244	24	information	information	NOUN
cana-1086	244	25	systems	system	NOUN
cana-1086	244	26	82.2	82.2	NUM
cana-1086	244	27	,	,	PUNCT
cana-1086	244	28	2020	2020	NUM
cana-1086	244	29	,	,	PUNCT
cana-1086	244	30	pp	pp	ADJ
cana-1086	244	31	.	.	PUNCT
cana-1086	245	1	373–393	373–393	NUM
cana-1086	245	2	.	.	PUNCT
cana-1086	246	1	[	[	X
cana-1086	246	2	16	16	NUM
cana-1086	246	3	]	]	X
cana-1086	246	4	e.	e.	PROPN
cana-1086	246	5	pariser	pariser	PROPN
cana-1086	246	6	,	,	PUNCT
cana-1086	246	7	the	the	DET
cana-1086	246	8	filter	filter	NOUN
cana-1086	246	9	bubble	bubble	NOUN
cana-1086	246	10	:	:	PUNCT
cana-1086	246	11	what	what	PRON
cana-1086	246	12	the	the	DET
cana-1086	246	13	internet	internet	NOUN
cana-1086	246	14	hides	hide	VERB
cana-1086	246	15	from	from	ADP
cana-1086	246	16	you	you	PRON
cana-1086	246	17	and	and	CCONJ
cana-1086	246	18	why	why	SCONJ
cana-1086	246	19	it	it	PRON
cana-1086	246	20	matters	matter	VERB
cana-1086	246	21	,	,	PUNCT
cana-1086	246	22	penguin	penguin	NOUN
cana-1086	246	23	press	press	NOUN
cana-1086	246	24	,	,	PUNCT
cana-1086	246	25	2011	2011	NUM
cana-1086	246	26	.	.	PUNCT
cana-1086	247	1	[	[	X
cana-1086	247	2	17	17	NUM
cana-1086	247	3	]	]	X
cana-1086	247	4	e.	e.	PROPN
cana-1086	247	5	a.	a.	PROPN
cana-1086	247	6	boich´e	boich´e	PROPN
cana-1086	247	7	,	,	PUNCT
cana-1086	247	8	adrien	adrien	PROPN
cana-1086	247	9	p.	p.	PROPN
cana-1086	247	10	,	,	PUNCT
cana-1086	247	11	the	the	DET
cana-1086	247	12	role	role	NOUN
cana-1086	247	13	of	of	ADP
cana-1086	247	14	confirmation	confirmation	NOUN
cana-1086	247	15	bias	bias	NOUN
cana-1086	247	16	in	in	ADP
cana-1086	247	17	recommendation	recommendation	NOUN
cana-1086	247	18	systems	system	NOUN
cana-1086	247	19	,	,	PUNCT
cana-1086	247	20	in	in	ADP
cana-1086	247	21	:	:	PUNCT
cana-1086	247	22	proceedings	proceeding	NOUN
cana-1086	247	23	of	of	ADP
cana-1086	247	24	the	the	DET
cana-1086	247	25	2015	2015	NUM
cana-1086	247	26	acm	acm	NOUN
cana-1086	247	27	conference	conference	NOUN
cana-1086	247	28	on	on	ADP
cana-1086	247	29	research	research	NOUN
cana-1086	247	30	in	in	ADP
cana-1086	247	31	information	information	NOUN
cana-1086	247	32	systems	system	NOUN
cana-1086	247	33	,	,	PUNCT
cana-1086	247	34	2015	2015	NUM
cana-1086	247	35	.	.	PUNCT
cana-1086	248	1	20	20	NUM
cana-1086	249	1	[	[	SYM
cana-1086	249	2	18	18	NUM
cana-1086	249	3	]	]	X
cana-1086	249	4	e.	e.	PROPN
cana-1086	249	5	a.	a.	PROPN
cana-1086	249	6	ge	ge	PROPN
cana-1086	249	7	,	,	PUNCT
cana-1086	249	8	mengqi	mengqi	NOUN
cana-1086	249	9	,	,	PUNCT
cana-1086	249	10	revisiting	revisit	VERB
cana-1086	249	11	fairness	fairness	NOUN
cana-1086	249	12	in	in	ADP
cana-1086	249	13	recommendation	recommendation	NOUN
cana-1086	249	14	systems	system	NOUN
cana-1086	249	15	:	:	PUNCT
cana-1086	249	16	a	a	DET
cana-1086	249	17	personalized	personalized	ADJ
cana-1086	249	18	approach	approach	NOUN
cana-1086	249	19	,	,	PUNCT
cana-1086	249	20	in	in	ADP
cana-1086	249	21	:	:	PUNCT
cana-1086	249	22	knowledge	knowledge	NOUN
cana-1086	249	23	and	and	CCONJ
cana-1086	249	24	information	information	NOUN
cana-1086	249	25	systems	system	NOUN
cana-1086	249	26	,	,	PUNCT
cana-1086	249	27	2019	2019	NUM
cana-1086	249	28	,	,	PUNCT
cana-1086	249	29	pp	pp	ADJ
cana-1086	249	30	.	.	PUNCT
cana-1086	250	1	503–524	503–524	NUM
cana-1086	250	2	.	.	PUNCT
cana-1086	251	1	[	[	X
cana-1086	251	2	19	19	NUM
cana-1086	251	3	]	]	X
cana-1086	251	4	y.	y.	PROPN
cana-1086	251	5	tintarev	tintarev	PROPN
cana-1086	251	6	,	,	PUNCT
cana-1086	251	7	j.	j.	PROPN
cana-1086	251	8	m.	m.	PROPN
cana-1086	251	9	masthoff	masthoff	PROPN
cana-1086	251	10	,	,	PUNCT
cana-1086	251	11	long	long	ADJ
cana-1086	251	12	tail	tail	NOUN
cana-1086	251	13	recommendation	recommendation	NOUN
cana-1086	251	14	with	with	ADP
cana-1086	251	15	user	user	NOUN
cana-1086	251	16	preferences	preference	NOUN
cana-1086	251	17	-	-	PUNCT
cana-1086	251	18	related	relate	VERB
cana-1086	251	19	confidence	confidence	NOUN
cana-1086	251	20	,	,	PUNCT
cana-1086	251	21	acm	acm	NOUN
cana-1086	251	22	transactions	transaction	NOUN
cana-1086	251	23	on	on	ADP
cana-1086	251	24	information	information	NOUN
cana-1086	251	25	systems	system	NOUN
cana-1086	251	26	(	(	PUNCT
cana-1086	251	27	tois	tois	NOUN
cana-1086	251	28	)	)	PUNCT
cana-1086	251	29	35.2	35.2	NUM
cana-1086	251	30	,	,	PUNCT
cana-1086	251	31	2017	2017	NUM
cana-1086	251	32	,	,	PUNCT
cana-1086	251	33	pp	pp	ADJ
cana-1086	251	34	.	.	PUNCT
cana-1086	252	1	1–20	1–20	NOUN
cana-1086	252	2	.	.	PUNCT
cana-1086	253	1	communications	communication	NOUN
cana-1086	253	2	on	on	ADP
cana-1086	253	3	applied	apply	VERB
cana-1086	253	4	nonlinear	nonlinear	ADJ
cana-1086	253	5	analysis	analysis	NOUN
cana-1086	253	6	issn	issn	NOUN
cana-1086	253	7	:	:	PUNCT
cana-1086	253	8	1074	1074	NUM
cana-1086	253	9	-	-	PUNCT
cana-1086	253	10	133x	133x	NUM
cana-1086	253	11	vol	vol	NOUN
cana-1086	253	12	31	31	NUM
cana-1086	253	13	no	no	NOUN
cana-1086	253	14	.	.	PUNCT
cana-1086	254	1	5s	5s	NUM
cana-1086	254	2	(	(	PUNCT
cana-1086	254	3	2024	2024	NUM
cana-1086	254	4	)	)	PUNCT
cana-1086	254	5	518	518	NUM
cana-1086	254	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1086	255	1	[	[	X
cana-1086	255	2	20	20	NUM
cana-1086	255	3	]	]	X
cana-1086	255	4	c.	c.	PROPN
cana-1086	255	5	r.	r.	PROPN
cana-1086	255	6	sunstein	sunstein	PROPN
cana-1086	255	7	,	,	PUNCT
cana-1086	255	8	republic.com	republic.com	X
cana-1086	255	9	2.0	2.0	NUM
cana-1086	255	10	,	,	PUNCT
cana-1086	255	11	princeton	princeton	PROPN
cana-1086	255	12	university	university	PROPN
cana-1086	255	13	press	press	NOUN
cana-1086	255	14	,	,	PUNCT
cana-1086	255	15	2009	2009	NUM
cana-1086	255	16	.	.	PUNCT
cana-1086	256	1	[	[	X
cana-1086	256	2	21	21	NUM
cana-1086	256	3	]	]	X
cana-1086	256	4	e.	e.	PROPN
cana-1086	256	5	a.	a.	PROPN
cana-1086	256	6	friedler	friedler	PROPN
cana-1086	256	7	,	,	PUNCT
cana-1086	256	8	sorelle	sorelle	NOUN
cana-1086	256	9	,	,	PUNCT
cana-1086	256	10	fairness	fairness	NOUN
cana-1086	256	11	in	in	ADP
cana-1086	256	12	computer	computer	NOUN
cana-1086	256	13	systems	system	NOUN
cana-1086	256	14	,	,	PUNCT
cana-1086	256	15	communications	communication	NOUN
cana-1086	256	16	of	of	ADP
cana-1086	256	17	the	the	DET
cana-1086	256	18	acm	acm	NOUN
cana-1086	256	19	62.1	62.1	NUM
cana-1086	256	20	,	,	PUNCT
cana-1086	256	21	2019	2019	NUM
cana-1086	256	22	,	,	PUNCT
cana-1086	256	23	pp	pp	ADJ
cana-1086	256	24	.	.	PUNCT
cana-1086	257	1	51–61	51–61	NUM
cana-1086	257	2	.	.	PUNCT
cana-1086	258	1	[	[	X
cana-1086	258	2	22	22	NUM
cana-1086	258	3	]	]	X
cana-1086	258	4	e.	e.	PROPN
cana-1086	258	5	a.	a.	PROPN
cana-1086	258	6	kusner	kusner	PROPN
cana-1086	258	7	,	,	PUNCT
cana-1086	258	8	matt	matt	PROPN
cana-1086	258	9	,	,	PUNCT
cana-1086	258	10	algorithmic	algorithmic	ADJ
cana-1086	258	11	fairness	fairness	NOUN
cana-1086	258	12	under	under	ADP
cana-1086	258	13	counterfactual	counterfactual	ADJ
cana-1086	258	14	interventions	intervention	NOUN
cana-1086	258	15	,	,	PUNCT
cana-1086	258	16	arxiv	arxiv	PROPN
cana-1086	258	17	preprint	preprint	NOUN
cana-1086	258	18	arxiv:1703.06061	arxiv:1703.06061	PROPN
cana-1086	258	19	,	,	PUNCT
cana-1086	258	20	2017	2017	NUM
cana-1086	258	21	.	.	PUNCT
cana-1086	259	1	[	[	X
cana-1086	259	2	23	23	NUM
cana-1086	259	3	]	]	PUNCT
cana-1086	259	4	x.	x.	PROPN
cana-1086	259	5	wang	wang	PROPN
cana-1086	259	6	,	,	PUNCT
cana-1086	259	7	q.	q.	PROPN
cana-1086	259	8	li	li	PROPN
cana-1086	259	9	,	,	PUNCT
cana-1086	259	10	d.	d.	PROPN
cana-1086	259	11	yu	yu	PROPN
cana-1086	259	12	,	,	PUNCT
cana-1086	259	13	q.	q.	PROPN
cana-1086	259	14	li	li	PROPN
cana-1086	259	15	,	,	PUNCT
cana-1086	259	16	g.	g.	PROPN
cana-1086	259	17	xu	xu	PROPN
cana-1086	259	18	,	,	PUNCT
cana-1086	259	19	counterfactual	counterfactual	ADJ
cana-1086	259	20	explanation	explanation	NOUN
cana-1086	259	21	for	for	ADP
cana-1086	259	22	fairness	fairness	NOUN
cana-1086	259	23	in	in	ADP
cana-1086	259	24	recommendation	recommendation	NOUN
cana-1086	259	25	,	,	PUNCT
cana-1086	259	26	acm	acm	PROPN
cana-1086	259	27	trans	trans	PROPN
cana-1086	259	28	.	.	PROPN
cana-1086	259	29	inf	inf	PROPN
cana-1086	259	30	.	.	PUNCT
cana-1086	259	31	syst	syst	PROPN
cana-1086	259	32	.	.	PUNCT
cana-1086	260	1	42	42	NUM
cana-1086	260	2	(	(	PUNCT
cana-1086	260	3	4	4	NUM
cana-1086	260	4	)	)	PUNCT
cana-1086	260	5	(	(	PUNCT
cana-1086	260	6	mar	mar	PROPN
cana-1086	260	7	2024	2024	NUM
cana-1086	260	8	)	)	PUNCT
cana-1086	260	9	.	.	PUNCT
cana-1086	261	1	doi:10.1145/3643670	doi:10.1145/3643670	PROPN
cana-1086	261	2	.	.	PUNCT
cana-1086	262	1	url	url	VERB
cana-1086	262	2	https://doi.org/10.1145/3643670	https://doi.org/10.1145/3643670	PRON
cana-1086	263	1	[	[	X
cana-1086	263	2	24	24	NUM
cana-1086	263	3	]	]	PUNCT
cana-1086	263	4	e.	e.	PROPN
cana-1086	263	5	a.	a.	PROPN
cana-1086	263	6	ye	ye	PROPN
cana-1086	263	7	,	,	PUNCT
cana-1086	263	8	niantian	niantian	NOUN
cana-1086	263	9	,	,	PUNCT
cana-1086	263	10	fairness	fairness	NOUN
cana-1086	263	11	-	-	PUNCT
cana-1086	263	12	aware	aware	ADJ
cana-1086	263	13	recommender	recommender	NOUN
cana-1086	263	14	systems	system	NOUN
cana-1086	263	15	:	:	PUNCT
cana-1086	263	16	techniques	technique	NOUN
cana-1086	263	17	,	,	PUNCT
cana-1086	263	18	advances	advance	NOUN
cana-1086	263	19	,	,	PUNCT
cana-1086	263	20	and	and	CCONJ
cana-1086	263	21	challenges	challenge	NOUN
cana-1086	263	22	,	,	PUNCT
cana-1086	263	23	ieee	ieee	NOUN
cana-1086	263	24	transactions	transaction	NOUN
cana-1086	263	25	on	on	ADP
cana-1086	263	26	knowledge	knowledge	NOUN
cana-1086	263	27	and	and	CCONJ
cana-1086	263	28	data	datum	NOUN
cana-1086	263	29	engineering	engineering	NOUN
cana-1086	263	30	30.9	30.9	NUM
cana-1086	263	31	,	,	PUNCT
cana-1086	263	32	2018	2018	NUM
cana-1086	263	33	,	,	PUNCT
cana-1086	263	34	pp	pp	ADJ
cana-1086	263	35	.	.	PUNCT
cana-1086	263	36	1663–1686	1663–1686	NUM
cana-1086	263	37	.	.	PUNCT
cana-1086	264	1	[	[	X
cana-1086	264	2	25	25	NUM
cana-1086	264	3	]	]	X
cana-1086	264	4	e.	e.	PROPN
cana-1086	264	5	a.	a.	PROPN
cana-1086	264	6	mittelstadt	mittelstadt	PROPN
cana-1086	264	7	,	,	PUNCT
cana-1086	264	8	brent	brent	PROPN
cana-1086	264	9	daniel	daniel	PROPN
cana-1086	264	10	,	,	PUNCT
cana-1086	264	11	explaining	explain	VERB
cana-1086	264	12	algorithms	algorithm	NOUN
cana-1086	264	13	in	in	ADP
cana-1086	264	14	healthcare	healthcare	PROPN
cana-1086	264	15	:	:	PUNCT
cana-1086	264	16	a	a	DET
cana-1086	264	17	case	case	NOUN
cana-1086	264	18	study	study	NOUN
cana-1086	264	19	of	of	ADP
cana-1086	264	20	deep	deep	ADJ
cana-1086	264	21	learning	learning	NOUN
cana-1086	264	22	for	for	ADP
cana-1086	264	23	cancer	cancer	NOUN
cana-1086	264	24	identification	identification	NOUN
cana-1086	264	25	,	,	PUNCT
cana-1086	264	26	nature	nature	NOUN
cana-1086	264	27	machine	machine	NOUN
cana-1086	264	28	intelligence	intelligence	NOUN
cana-1086	264	29	1.11	1.11	NUM
cana-1086	264	30	,	,	PUNCT
cana-1086	264	31	2019	2019	NUM
cana-1086	264	32	,	,	PUNCT
cana-1086	264	33	pp	pp	ADJ
cana-1086	264	34	.	.	PUNCT
cana-1086	265	1	131–138	131–138	NUM
cana-1086	265	2	.	.	PUNCT
cana-1086	266	1	[	[	X
cana-1086	266	2	26	26	NUM
cana-1086	266	3	]	]	X
cana-1086	266	4	e.	e.	PROPN
cana-1086	266	5	a.	a.	PROPN
cana-1086	266	6	shin	shin	PROPN
cana-1086	266	7	,	,	PUNCT
cana-1086	266	8	juno	juno	PROPN
cana-1086	266	9	,	,	PUNCT
cana-1086	266	10	user	user	NOUN
cana-1086	266	11	control	control	NOUN
cana-1086	266	12	for	for	ADP
cana-1086	266	13	algorithmic	algorithmic	ADJ
cana-1086	266	14	fairness	fairness	NOUN
cana-1086	266	15	,	,	PUNCT
cana-1086	266	16	proceedings	proceeding	NOUN
cana-1086	266	17	of	of	ADP
cana-1086	266	18	the	the	DET
cana-1086	266	19	2021	2021	NUM
cana-1086	266	20	acm	acm	NOUN
cana-1086	266	21	conference	conference	NOUN
cana-1086	266	22	on	on	ADP
cana-1086	266	23	human	human	ADJ
cana-1086	266	24	factors	factor	NOUN
cana-1086	266	25	in	in	ADP
cana-1086	266	26	computing	computing	NOUN
cana-1086	266	27	systems	system	NOUN
cana-1086	266	28	,	,	PUNCT
cana-1086	266	29	2021	2021	NUM
cana-1086	266	30	,	,	PUNCT
cana-1086	266	31	pp	pp	ADJ
cana-1086	266	32	.	.	PUNCT
cana-1086	267	1	1–13	1–13	NOUN
cana-1086	267	2	.	.	PUNCT
cana-1086	268	1	[	[	X
cana-1086	268	2	27	27	NUM
cana-1086	268	3	]	]	X
cana-1086	268	4	e.	e.	PROPN
cana-1086	268	5	a.	a.	PROPN
cana-1086	268	6	borges	borges	PROPN
cana-1086	268	7	,	,	PUNCT
cana-1086	268	8	inˆes	inˆes	NOUN
cana-1086	268	9	,	,	PUNCT
cana-1086	268	10	a	a	DET
cana-1086	268	11	survey	survey	NOUN
cana-1086	268	12	on	on	ADP
cana-1086	268	13	fairness	fairness	NOUN
cana-1086	268	14	in	in	ADP
cana-1086	268	15	recommender	recommender	NOUN
cana-1086	268	16	systems	system	NOUN
cana-1086	268	17	,	,	PUNCT
cana-1086	268	18	acm	acm	PROPN
cana-1086	268	19	computing	computing	NOUN
cana-1086	268	20	surveys	survey	NOUN
cana-1086	268	21	(	(	PUNCT
cana-1086	268	22	csur	csur	NOUN
cana-1086	268	23	)	)	PUNCT
cana-1086	268	24	,	,	PUNCT
cana-1086	268	25	2021	2021	NUM
cana-1086	268	26	.	.	PUNCT
cana-1086	269	1	[	[	X
cana-1086	269	2	28	28	NUM
cana-1086	269	3	]	]	X
cana-1086	269	4	e.	e.	PROPN
cana-1086	269	5	a.	a.	PROPN
cana-1086	269	6	verma	verma	PROPN
cana-1086	269	7	,	,	PUNCT
cana-1086	269	8	aditya	aditya	PROPN
cana-1086	269	9	,	,	PUNCT
cana-1086	269	10	fairness	fairness	NOUN
cana-1086	269	11	considerations	consideration	NOUN
cana-1086	269	12	in	in	ADP
cana-1086	269	13	personalized	personalized	ADJ
cana-1086	269	14	ranking	ranking	NOUN
cana-1086	269	15	,	,	PUNCT
cana-1086	269	16	proceedings	proceeding	NOUN
cana-1086	269	17	of	of	ADP
cana-1086	269	18	the	the	DET
cana-1086	269	19	2020	2020	NUM
cana-1086	269	20	conference	conference	NOUN
cana-1086	269	21	on	on	ADP
cana-1086	269	22	fairness	fairness	NOUN
cana-1086	269	23	,	,	PUNCT
cana-1086	269	24	accountability	accountability	NOUN
cana-1086	269	25	,	,	PUNCT
cana-1086	269	26	and	and	CCONJ
cana-1086	269	27	transparency	transparency	NOUN
cana-1086	269	28	,	,	PUNCT
cana-1086	269	29	2020	2020	NUM
cana-1086	269	30	,	,	PUNCT
cana-1086	269	31	pp	pp	ADV
cana-1086	269	32	.	.	PUNCT
cana-1086	270	1	138–148	138–148	NUM
cana-1086	270	2	.	.	PUNCT
cana-1086	271	1	[	[	X
cana-1086	271	2	29	29	NUM
cana-1086	271	3	]	]	X
cana-1086	271	4	e.	e.	PROPN
cana-1086	271	5	a.	a.	PROPN
cana-1086	271	6	singh	singh	PROPN
cana-1086	271	7	,	,	PUNCT
cana-1086	271	8	amanpreet	amanpreet	PROPN
cana-1086	271	9	,	,	PUNCT
cana-1086	271	10	a	a	DET
cana-1086	271	11	survey	survey	NOUN
cana-1086	271	12	on	on	ADP
cana-1086	271	13	fairness	fairness	NOUN
cana-1086	271	14	in	in	ADP
cana-1086	271	15	multi	multi	ADJ
cana-1086	271	16	-	-	ADJ
cana-1086	271	17	objective	objective	ADJ
cana-1086	271	18	recommender	recommender	NOUN
cana-1086	271	19	systems	system	NOUN
cana-1086	271	20	,	,	PUNCT
cana-1086	271	21	arxiv	arxiv	PROPN
cana-1086	271	22	preprint	preprint	NOUN
cana-1086	271	23	arxiv:2204.03282	arxiv:2204.03282	PROPN
cana-1086	271	24	,	,	PUNCT
cana-1086	271	25	2022	2022	NUM
cana-1086	271	26	.	.	PUNCT
cana-1086	272	1	21	21	NUM
cana-1086	273	1	[	[	SYM
cana-1086	273	2	30	30	NUM
cana-1086	273	3	]	]	X
cana-1086	273	4	e.	e.	PROPN
cana-1086	273	5	a.	a.	PROPN
cana-1086	273	6	wang	wang	PROPN
cana-1086	273	7	,	,	PUNCT
cana-1086	273	8	yuefeng	yuefeng	NOUN
cana-1086	273	9	,	,	PUNCT
cana-1086	273	10	privacy	privacy	NOUN
cana-1086	273	11	-	-	PUNCT
cana-1086	273	12	preserving	preserve	VERB
cana-1086	273	13	fair	fair	ADJ
cana-1086	273	14	recommendation	recommendation	NOUN
cana-1086	273	15	with	with	ADP
cana-1086	273	16	federated	federated	ADJ
cana-1086	273	17	learning	learning	NOUN
cana-1086	273	18	,	,	PUNCT
cana-1086	273	19	proceedings	proceeding	NOUN
cana-1086	273	20	of	of	ADP
cana-1086	273	21	the	the	DET
cana-1086	273	22	2023	2023	NUM
cana-1086	273	23	acm	acm	NOUN
cana-1086	273	24	sigkdd	sigkdd	NOUN
cana-1086	273	25	international	international	ADJ
cana-1086	273	26	conference	conference	NOUN
cana-1086	273	27	on	on	ADP
cana-1086	273	28	knowledge	knowledge	NOUN
cana-1086	273	29	discovery	discovery	PROPN
cana-1086	273	30	and	and	CCONJ
cana-1086	273	31	data	datum	NOUN
cana-1086	273	32	mining	mining	NOUN
cana-1086	273	33	,	,	PUNCT
cana-1086	273	34	2023	2023	NUM
cana-1086	273	35	.	.	PUNCT
cana-1086	274	1	[	[	X
cana-1086	274	2	31	31	NUM
cana-1086	274	3	]	]	PUNCT
cana-1086	274	4	e.	e.	PROPN
cana-1086	274	5	a.	a.	PROPN
cana-1086	274	6	xu	xu	PROPN
cana-1086	274	7	,	,	PUNCT
cana-1086	274	8	yingying	yingye	VERB
cana-1086	274	9	,	,	PUNCT
cana-1086	274	10	explainable	explainable	ADJ
cana-1086	274	11	recommendation	recommendation	NOUN
cana-1086	274	12	systems	system	NOUN
cana-1086	274	13	:	:	PUNCT
cana-1086	274	14	a	a	DET
cana-1086	274	15	survey	survey	NOUN
cana-1086	274	16	,	,	PUNCT
cana-1086	274	17	acm	acm	PROPN
cana-1086	274	18	computing	computing	NOUN
cana-1086	274	19	surveys	survey	NOUN
cana-1086	274	20	(	(	PUNCT
cana-1086	274	21	csur	csur	NOUN
cana-1086	274	22	)	)	PUNCT
cana-1086	274	23	,	,	PUNCT
cana-1086	274	24	2021	2021	NUM
cana-1086	274	25	.	.	PUNCT
cana-1086	275	1	[	[	X
cana-1086	275	2	32	32	NUM
cana-1086	275	3	]	]	PUNCT
cana-1086	275	4	e.	e.	PROPN
cana-1086	275	5	a.	a.	PROPN
cana-1086	275	6	jobin	jobin	PROPN
cana-1086	275	7	,	,	PUNCT
cana-1086	275	8	anna	anna	PROPN
cana-1086	275	9	,	,	PUNCT
cana-1086	275	10	the	the	DET
cana-1086	275	11	ethics	ethic	NOUN
cana-1086	275	12	of	of	ADP
cana-1086	275	13	artificial	artificial	ADJ
cana-1086	275	14	intelligence	intelligence	NOUN
cana-1086	275	15	,	,	PUNCT
cana-1086	275	16	nature	nature	NOUN
cana-1086	275	17	569.7753	569.7753	NUM
cana-1086	275	18	,	,	PUNCT
cana-1086	275	19	2019	2019	NUM
cana-1086	275	20	,	,	PUNCT
cana-1086	275	21	pp	pp	ADJ
cana-1086	275	22	.	.	PUNCT
cana-1086	276	1	334–341	334–341	NUM
cana-1086	276	2	.	.	PUNCT