id	sid	tid	token	lemma	pos
spir-10497	1	1	microsoft	microsoft	PROPN
spir-10497	1	2	word	word	NOUN
spir-10497	1	3	aoir2018-final-tweet-lengths.docx	aoir2018-final-tweet-lengths.docx	ADP
spir-10497	1	4	selected	select	VERB
spir-10497	1	5	papers	paper	NOUN
spir-10497	1	6	of	of	ADP
spir-10497	1	7	#	#	SYM
spir-10497	1	8	aoir2018	aoir2018	NOUN
spir-10497	1	9	:	:	PUNCT
spir-10497	1	10	the	the	DET
spir-10497	1	11	19th	19th	ADJ
spir-10497	1	12	annual	annual	ADJ
spir-10497	1	13	conference	conference	NOUN
spir-10497	1	14	of	of	ADP
spir-10497	1	15	the	the	DET
spir-10497	1	16	association	association	NOUN
spir-10497	1	17	of	of	ADP
spir-10497	1	18	internet	internet	NOUN
spir-10497	1	19	researchers	researcher	NOUN
spir-10497	1	20	montréal	montréal	PROPN
spir-10497	1	21	,	,	PUNCT
spir-10497	1	22	canada	canada	PROPN
spir-10497	1	23	/	/	SYM
spir-10497	1	24	10	10	NUM
spir-10497	1	25	-	-	SYM
spir-10497	1	26	13	13	NUM
spir-10497	1	27	october	october	PROPN
spir-10497	1	28	2018	2018	NUM
spir-10497	1	29	suggested	suggest	VERB
spir-10497	1	30	citation	citation	NOUN
spir-10497	1	31	(	(	PUNCT
spir-10497	1	32	apa	apa	PROPN
spir-10497	1	33	):	):	PUNCT
spir-10497	1	34	mitchell	mitchell	PROPN
spir-10497	1	35	,	,	PUNCT
spir-10497	1	36	l.	l.	PROPN
spir-10497	1	37	(	(	PUNCT
spir-10497	1	38	2018	2018	NUM
spir-10497	1	39	,	,	PUNCT
spir-10497	1	40	october	october	PROPN
spir-10497	1	41	10	10	NUM
spir-10497	1	42	-	-	SYM
spir-10497	1	43	13	13	NUM
spir-10497	1	44	)	)	PUNCT
spir-10497	1	45	.	.	PUNCT
spir-10497	2	1	mo	mo	PROPN
spir-10497	2	2	’	'	PUNCT
spir-10497	2	3	characters	character	NOUN
spir-10497	2	4	mo	mo	NOUN
spir-10497	2	5	’	'	PUNCT
spir-10497	2	6	problems	problem	NOUN
spir-10497	2	7	:	:	PUNCT
spir-10497	3	1	online	online	ADJ
spir-10497	3	2	social	social	ADJ
spir-10497	3	3	media	medium	NOUN
spir-10497	3	4	platform	platform	NOUN
spir-10497	3	5	constraints	constraint	NOUN
spir-10497	3	6	and	and	CCONJ
spir-10497	3	7	modes	mode	NOUN
spir-10497	3	8	of	of	ADP
spir-10497	3	9	communication	communication	NOUN
spir-10497	3	10	.	.	PUNCT
spir-10497	4	1	paper	paper	NOUN
spir-10497	4	2	presented	present	VERB
spir-10497	4	3	at	at	ADP
spir-10497	4	4	aoir	aoir	NOUN
spir-10497	4	5	2018	2018	NUM
spir-10497	4	6	:	:	PUNCT
spir-10497	4	7	the	the	DET
spir-10497	4	8	19th	19th	ADJ
spir-10497	4	9	annual	annual	ADJ
spir-10497	4	10	conference	conference	NOUN
spir-10497	4	11	of	of	ADP
spir-10497	4	12	the	the	DET
spir-10497	4	13	association	association	NOUN
spir-10497	4	14	of	of	ADP
spir-10497	4	15	internet	internet	NOUN
spir-10497	4	16	researchers	researcher	NOUN
spir-10497	4	17	.	.	PUNCT
spir-10497	5	1	montréal	montréal	PROPN
spir-10497	5	2	,	,	PUNCT
spir-10497	5	3	canada	canada	PROPN
spir-10497	5	4	:	:	PUNCT
spir-10497	5	5	aoir	aoir	NOUN
spir-10497	5	6	.	.	PUNCT
spir-10497	5	7	retrieved	retrieve	VERB
spir-10497	5	8	from	from	ADP
spir-10497	5	9	http://spir.aoir.org	http://spir.aoir.org	PROPN
spir-10497	5	10	.	.	PUNCT
spir-10497	6	1	mo	mo	PROPN
spir-10497	6	2	’	'	PUNCT
spir-10497	6	3	characters	character	NOUN
spir-10497	6	4	mo	mo	NOUN
spir-10497	6	5	’	'	PUNCT
spir-10497	6	6	problems	problem	NOUN
spir-10497	6	7	:	:	PUNCT
spir-10497	7	1	online	online	ADJ
spir-10497	7	2	social	social	ADJ
spir-10497	7	3	media	medium	NOUN
spir-10497	7	4	platform	platform	NOUN
spir-10497	7	5	constraints	constraint	NOUN
spir-10497	7	6	and	and	CCONJ
spir-10497	7	7	modes	mode	NOUN
spir-10497	7	8	of	of	ADP
spir-10497	7	9	communication	communication	PROPN
spir-10497	7	10	lewis	lewis	PROPN
spir-10497	7	11	mitchell	mitchell	PROPN
spir-10497	7	12	school	school	PROPN
spir-10497	7	13	of	of	ADP
spir-10497	7	14	mathematical	mathematical	ADJ
spir-10497	7	15	sciences	science	NOUN
spir-10497	7	16	,	,	PUNCT
spir-10497	7	17	the	the	DET
spir-10497	7	18	university	university	NOUN
spir-10497	7	19	of	of	ADP
spir-10497	7	20	adelaide	adelaide	PROPN
spir-10497	7	21	,	,	PUNCT
spir-10497	7	22	sa	sa	PROPN
spir-10497	7	23	5005	5005	NUM
spir-10497	7	24	,	,	PUNCT
spir-10497	7	25	australia	australia	PROPN
spir-10497	7	26	joshua	joshua	PROPN
spir-10497	7	27	dent	dent	PROPN
spir-10497	7	28	school	school	NOUN
spir-10497	7	29	of	of	ADP
spir-10497	7	30	mathematical	mathematical	ADJ
spir-10497	7	31	sciences	science	NOUN
spir-10497	7	32	,	,	PUNCT
spir-10497	7	33	the	the	DET
spir-10497	7	34	university	university	NOUN
spir-10497	7	35	of	of	ADP
spir-10497	7	36	adelaide	adelaide	PROPN
spir-10497	7	37	,	,	PUNCT
spir-10497	7	38	sa	sa	PROPN
spir-10497	7	39	5005	5005	NUM
spir-10497	7	40	,	,	PUNCT
spir-10497	7	41	australia	australia	PROPN
spir-10497	7	42	joshua	joshua	PROPN
spir-10497	7	43	v	v	PROPN
spir-10497	7	44	ross	ross	PROPN
spir-10497	7	45	school	school	PROPN
spir-10497	7	46	of	of	ADP
spir-10497	7	47	mathematical	mathematical	ADJ
spir-10497	7	48	sciences	science	NOUN
spir-10497	7	49	,	,	PUNCT
spir-10497	7	50	the	the	DET
spir-10497	7	51	university	university	NOUN
spir-10497	7	52	of	of	ADP
spir-10497	7	53	adelaide	adelaide	PROPN
spir-10497	7	54	,	,	PUNCT
spir-10497	7	55	sa	sa	PROPN
spir-10497	7	56	5005	5005	NUM
spir-10497	7	57	,	,	PUNCT
spir-10497	7	58	australia	australia	PROPN
spir-10497	7	59	introduction	introduction	NOUN
spir-10497	7	60	this	this	DET
spir-10497	7	61	paper	paper	NOUN
spir-10497	7	62	explores	explore	VERB
spir-10497	7	63	a	a	DET
spir-10497	7	64	foundational	foundational	ADJ
spir-10497	7	65	change	change	NOUN
spir-10497	7	66	to	to	ADP
spir-10497	7	67	one	one	NUM
spir-10497	7	68	of	of	ADP
spir-10497	7	69	the	the	DET
spir-10497	7	70	world	world	NOUN
spir-10497	7	71	’s	’s	PART
spir-10497	7	72	largest	large	ADJ
spir-10497	7	73	social	social	ADJ
spir-10497	7	74	media	medium	NOUN
spir-10497	7	75	platforms	platform	NOUN
spir-10497	7	76	:	:	PUNCT
spir-10497	7	77	twitter	twitter	NOUN
spir-10497	7	78	’s	’s	PART
spir-10497	7	79	doubling	doubling	NOUN
spir-10497	7	80	of	of	ADP
spir-10497	7	81	its	its	PRON
spir-10497	7	82	character	character	NOUN
spir-10497	7	83	limit	limit	NOUN
spir-10497	7	84	to	to	ADP
spir-10497	7	85	280	280	NUM
spir-10497	7	86	characters	character	NOUN
spir-10497	7	87	on	on	ADP
spir-10497	7	88	7	7	NUM
spir-10497	7	89	november	november	PROPN
spir-10497	7	90	2017	2017	NUM
spir-10497	7	91	.	.	PUNCT
spir-10497	8	1	this	this	PRON
spir-10497	8	2	arguably	arguably	ADV
spir-10497	8	3	represents	represent	VERB
spir-10497	8	4	the	the	DET
spir-10497	8	5	most	most	ADV
spir-10497	8	6	significant	significant	ADJ
spir-10497	8	7	change	change	NOUN
spir-10497	8	8	to	to	ADP
spir-10497	8	9	an	an	DET
spir-10497	8	10	individual	individual	NOUN
spir-10497	8	11	’s	’s	PART
spir-10497	8	12	everyday	everyday	ADJ
spir-10497	8	13	experience	experience	NOUN
spir-10497	8	14	of	of	ADP
spir-10497	8	15	this	this	DET
spir-10497	8	16	platform	platform	NOUN
spir-10497	8	17	since	since	SCONJ
spir-10497	8	18	its	its	PRON
spir-10497	8	19	inception	inception	NOUN
spir-10497	8	20	in	in	ADP
spir-10497	8	21	2006	2006	NUM
spir-10497	8	22	.	.	PUNCT
spir-10497	9	1	twitter	twitter	NOUN
spir-10497	9	2	argued	argue	VERB
spir-10497	9	3	that	that	SCONJ
spir-10497	9	4	this	this	DET
spir-10497	9	5	change	change	NOUN
spir-10497	9	6	made	make	VERB
spir-10497	9	7	it	it	PRON
spir-10497	9	8	“	"	PUNCT
spir-10497	9	9	easier	easy	ADJ
spir-10497	9	10	to	to	PART
spir-10497	9	11	tweet	tweet	VERB
spir-10497	9	12	”	"	PUNCT
spir-10497	9	13	,	,	PUNCT
spir-10497	9	14	with	with	ADP
spir-10497	9	15	individuals	individual	NOUN
spir-10497	9	16	“	"	PUNCT
spir-10497	9	17	less	less	ADJ
spir-10497	9	18	time	time	NOUN
spir-10497	9	19	editing	edit	VERB
spir-10497	9	20	their	their	PRON
spir-10497	9	21	tweets	tweet	NOUN
spir-10497	9	22	in	in	ADP
spir-10497	9	23	the	the	DET
spir-10497	9	24	composer	composer	NOUN
spir-10497	9	25	”	"	PUNCT
spir-10497	9	26	and	and	CCONJ
spir-10497	9	27	that	that	SCONJ
spir-10497	9	28	the	the	DET
spir-10497	9	29	“	"	PUNCT
spir-10497	9	30	timeline	timeline	NOUN
spir-10497	9	31	reading	reading	NOUN
spir-10497	9	32	experience	experience	NOUN
spir-10497	9	33	should	should	AUX
spir-10497	9	34	not	not	PART
spir-10497	9	35	substantially	substantially	ADV
spir-10497	9	36	change	change	VERB
spir-10497	9	37	”	"	PUNCT
spir-10497	9	38	(	(	PUNCT
spir-10497	9	39	rosen	rosen	PROPN
spir-10497	9	40	2017	2017	NUM
spir-10497	9	41	)	)	PUNCT
spir-10497	9	42	.	.	PUNCT
spir-10497	10	1	we	we	PRON
spir-10497	10	2	test	test	VERB
spir-10497	10	3	these	these	DET
spir-10497	10	4	claims	claim	NOUN
spir-10497	10	5	quantitatively	quantitatively	ADV
spir-10497	10	6	,	,	PUNCT
spir-10497	10	7	by	by	ADP
spir-10497	10	8	applying	apply	VERB
spir-10497	10	9	natural	natural	ADJ
spir-10497	10	10	language	language	NOUN
spir-10497	10	11	processing	processing	NOUN
spir-10497	10	12	techniques	technique	NOUN
spir-10497	10	13	as	as	ADV
spir-10497	10	14	well	well	ADV
spir-10497	10	15	as	as	ADP
spir-10497	10	16	mathematical	mathematical	ADJ
spir-10497	10	17	modeling	modeling	NOUN
spir-10497	10	18	approaches	approach	NOUN
spir-10497	10	19	to	to	ADP
spir-10497	10	20	a	a	DET
spir-10497	10	21	large	large	ADJ
spir-10497	10	22	dataset	dataset	NOUN
spir-10497	10	23	collected	collect	VERB
spir-10497	10	24	before	before	ADV
spir-10497	10	25	and	and	CCONJ
spir-10497	10	26	after	after	ADP
spir-10497	10	27	the	the	DET
spir-10497	10	28	change	change	NOUN
spir-10497	10	29	.	.	PUNCT
spir-10497	11	1	our	our	PRON
spir-10497	11	2	results	result	NOUN
spir-10497	11	3	show	show	VERB
spir-10497	11	4	that	that	SCONJ
spir-10497	11	5	the	the	DET
spir-10497	11	6	average	average	ADJ
spir-10497	11	7	timeline	timeline	NOUN
spir-10497	11	8	reading	read	VERB
spir-10497	11	9	experience	experience	NOUN
spir-10497	11	10	did	do	AUX
spir-10497	11	11	in	in	ADP
spir-10497	11	12	fact	fact	NOUN
spir-10497	11	13	change	change	VERB
spir-10497	11	14	significantly	significantly	ADV
spir-10497	11	15	after	after	ADP
spir-10497	11	16	the	the	DET
spir-10497	11	17	change	change	NOUN
spir-10497	11	18	,	,	PUNCT
spir-10497	11	19	and	and	CCONJ
spir-10497	11	20	reveal	reveal	VERB
spir-10497	11	21	a	a	DET
spir-10497	11	22	surprisingly	surprisingly	ADV
spir-10497	11	23	long	long	ADJ
spir-10497	11	24	“	"	PUNCT
spir-10497	11	25	reaction	reaction	NOUN
spir-10497	11	26	time	time	NOUN
spir-10497	11	27	”	"	PUNCT
spir-10497	11	28	of	of	ADP
spir-10497	11	29	the	the	DET
spir-10497	11	30	twitter	twitter	NOUN
spir-10497	11	31	-	-	PUNCT
spir-10497	11	32	using	use	VERB
spir-10497	11	33	population	population	NOUN
spir-10497	11	34	to	to	ADP
spir-10497	11	35	this	this	DET
spir-10497	11	36	exogenous	exogenous	ADJ
spir-10497	11	37	change	change	NOUN
spir-10497	11	38	to	to	ADP
spir-10497	11	39	the	the	DET
spir-10497	11	40	communication	communication	NOUN
spir-10497	11	41	medium	medium	NOUN
spir-10497	11	42	.	.	PUNCT
spir-10497	12	1	we	we	PRON
spir-10497	12	2	postulate	postulate	VERB
spir-10497	12	3	that	that	SCONJ
spir-10497	12	4	this	this	DET
spir-10497	12	5	behavior	behavior	NOUN
spir-10497	12	6	is	be	AUX
spir-10497	12	7	rooted	root	VERB
spir-10497	12	8	in	in	ADP
spir-10497	12	9	human	human	ADJ
spir-10497	12	10	psychology	psychology	NOUN
spir-10497	12	11	,	,	PUNCT
spir-10497	12	12	and	and	CCONJ
spir-10497	12	13	explain	explain	VERB
spir-10497	12	14	how	how	SCONJ
spir-10497	12	15	our	our	PRON
spir-10497	12	16	findings	finding	NOUN
spir-10497	12	17	are	be	AUX
spir-10497	12	18	consistent	consistent	ADJ
spir-10497	12	19	with	with	ADP
spir-10497	12	20	previous	previous	ADJ
spir-10497	12	21	experimental	experimental	ADJ
spir-10497	12	22	studies	study	NOUN
spir-10497	12	23	of	of	ADP
spir-10497	12	24	mental	mental	ADJ
spir-10497	12	25	perceptions	perception	NOUN
spir-10497	12	26	of	of	ADP
spir-10497	12	27	text	text	NOUN
spir-10497	12	28	lengths	length	NOUN
spir-10497	12	29	.	.	PUNCT
spir-10497	13	1	data	datum	NOUN
spir-10497	13	2	collection	collection	NOUN
spir-10497	13	3	and	and	CCONJ
spir-10497	13	4	methodology	methodology	NOUN
spir-10497	13	5	we	we	PRON
spir-10497	13	6	analysed	analyse	VERB
spir-10497	13	7	an	an	DET
spir-10497	13	8	existing	exist	VERB
spir-10497	13	9	dataset	dataset	NOUN
spir-10497	13	10	comprising	comprise	VERB
spir-10497	13	11	540	540	NUM
spir-10497	13	12	million	million	NUM
spir-10497	13	13	english	english	ADJ
spir-10497	13	14	-	-	PUNCT
spir-10497	13	15	language	language	NOUN
spir-10497	13	16	tweets	tweet	NOUN
spir-10497	13	17	(	(	PUNCT
spir-10497	13	18	after	after	ADP
spir-10497	13	19	filtering	filter	VERB
spir-10497	13	20	as	as	ADP
spir-10497	13	21	below	below	ADV
spir-10497	13	22	)	)	PUNCT
spir-10497	13	23	,	,	PUNCT
spir-10497	13	24	collected	collect	VERB
spir-10497	13	25	using	use	VERB
spir-10497	13	26	twitter	twitter	NOUN
spir-10497	13	27	’s	’s	PART
spir-10497	13	28	decahose	decahose	NOUN
spir-10497	13	29	feed	feed	NOUN
spir-10497	13	30	(	(	PUNCT
spir-10497	13	31	10	10	NUM
spir-10497	13	32	%	%	NOUN
spir-10497	13	33	of	of	ADP
spir-10497	13	34	all	all	DET
spir-10497	13	35	public	public	ADJ
spir-10497	13	36	tweets	tweet	NOUN
spir-10497	13	37	)	)	PUNCT
spir-10497	13	38	between	between	ADP
spir-10497	13	39	1	1	NUM
spir-10497	13	40	september	september	PROPN
spir-10497	13	41	2017	2017	NUM
spir-10497	13	42	and	and	CCONJ
spir-10497	13	43	12	12	NUM
spir-10497	13	44	january	january	PROPN
spir-10497	13	45	2018	2018	NUM
spir-10497	13	46	.	.	PUNCT
spir-10497	14	1	to	to	PART
spir-10497	14	2	focus	focus	VERB
spir-10497	14	3	on	on	ADP
spir-10497	14	4	the	the	DET
spir-10497	14	5	change	change	NOUN
spir-10497	14	6	in	in	ADP
spir-10497	14	7	behavior	behavior	NOUN
spir-10497	14	8	by	by	ADP
spir-10497	14	9	individuals	individual	NOUN
spir-10497	14	10	when	when	SCONJ
spir-10497	14	11	writing	write	VERB
spir-10497	14	12	tweets	tweet	NOUN
spir-10497	14	13	we	we	PRON
spir-10497	14	14	filtered	filter	VERB
spir-10497	14	15	out	out	ADP
spir-10497	14	16	all	all	DET
spir-10497	14	17	tweets	tweet	NOUN
spir-10497	14	18	containing	contain	VERB
spir-10497	14	19	urls	url	NOUN
spir-10497	14	20	,	,	PUNCT
spir-10497	14	21	and	and	CCONJ
spir-10497	14	22	in	in	ADP
spir-10497	14	23	order	order	NOUN
spir-10497	14	24	to	to	PART
spir-10497	14	25	apply	apply	VERB
spir-10497	14	26	natural	natural	ADJ
spir-10497	14	27	language	language	NOUN
spir-10497	14	28	processing	processing	NOUN
spir-10497	14	29	techniques	technique	NOUN
spir-10497	14	30	we	we	PRON
spir-10497	14	31	considered	consider	VERB
spir-10497	14	32	only	only	ADV
spir-10497	14	33	english	english	ADJ
spir-10497	14	34	language	language	NOUN
spir-10497	14	35	tweets	tweet	NOUN
spir-10497	14	36	(	(	PUNCT
spir-10497	14	37	as	as	SCONJ
spir-10497	14	38	determined	determine	VERB
spir-10497	14	39	by	by	ADP
spir-10497	14	40	twitter	twitter	NOUN
spir-10497	14	41	’s	’s	PART
spir-10497	14	42	automatic	automatic	ADJ
spir-10497	14	43	language	language	NOUN
spir-10497	14	44	detection	detection	NOUN
spir-10497	14	45	algorithm	algorithm	NOUN
spir-10497	14	46	and	and	CCONJ
spir-10497	14	47	stored	store	VERB
spir-10497	14	48	in	in	ADP
spir-10497	14	49	the	the	DET
spir-10497	14	50	metadata	metadata	NOUN
spir-10497	14	51	for	for	ADP
spir-10497	14	52	each	each	DET
spir-10497	14	53	tweet	tweet	NOUN
spir-10497	14	54	)	)	PUNCT
spir-10497	14	55	.	.	PUNCT
spir-10497	15	1	to	to	PART
spir-10497	15	2	test	test	VERB
spir-10497	15	3	whether	whether	SCONJ
spir-10497	15	4	the	the	DET
spir-10497	15	5	“	"	PUNCT
spir-10497	15	6	timeline	timeline	NOUN
spir-10497	15	7	reading	reading	NOUN
spir-10497	15	8	experience	experience	NOUN
spir-10497	15	9	”	"	PUNCT
spir-10497	15	10	changed	change	VERB
spir-10497	15	11	after	after	ADP
spir-10497	15	12	7	7	NUM
spir-10497	15	13	november	november	PROPN
spir-10497	15	14	,	,	PUNCT
spir-10497	15	15	we	we	PRON
spir-10497	15	16	computed	compute	VERB
spir-10497	15	17	the	the	DET
spir-10497	15	18	average	average	ADJ
spir-10497	15	19	flesch	flesch	PROPN
spir-10497	15	20	-	-	PUNCT
spir-10497	15	21	kincaid	kincaid	PROPN
spir-10497	15	22	grade	grade	NOUN
spir-10497	15	23	level	level	NOUN
spir-10497	15	24	(	(	PUNCT
spir-10497	15	25	kincaid	kincaid	PROPN
spir-10497	15	26	et	et	PROPN
spir-10497	15	27	al	al	PROPN
spir-10497	15	28	.	.	PROPN
spir-10497	15	29	1975	1975	NUM
spir-10497	15	30	)	)	PUNCT
spir-10497	15	31	,	,	PUNCT
spir-10497	15	32	which	which	PRON
spir-10497	15	33	estimates	estimate	VERB
spir-10497	15	34	an	an	DET
spir-10497	15	35	approximate	approximate	ADJ
spir-10497	15	36	(	(	PUNCT
spir-10497	15	37	us	we	PRON
spir-10497	15	38	)	)	PUNCT
spir-10497	15	39	grade	grade	NOUN
spir-10497	15	40	level	level	NOUN
spir-10497	15	41	indicating	indicate	VERB
spir-10497	15	42	the	the	DET
spir-10497	15	43	readability	readability	NOUN
spir-10497	15	44	of	of	ADP
spir-10497	15	45	a	a	DET
spir-10497	15	46	document	document	NOUN
spir-10497	15	47	,	,	PUNCT
spir-10497	15	48	for	for	ADP
spir-10497	15	49	all	all	DET
spir-10497	15	50	tweets	tweet	NOUN
spir-10497	15	51	per	per	ADP
spir-10497	15	52	day	day	NOUN
spir-10497	15	53	.	.	PUNCT
spir-10497	16	1	to	to	PART
spir-10497	16	2	explore	explore	VERB
spir-10497	16	3	how	how	SCONJ
spir-10497	16	4	individuals	individual	NOUN
spir-10497	16	5	’	'	PUNCT
spir-10497	16	6	writing	write	VERB
spir-10497	16	7	changed	change	VERB
spir-10497	16	8	before	before	ADV
spir-10497	16	9	and	and	CCONJ
spir-10497	16	10	after	after	ADP
spir-10497	16	11	7	7	NUM
spir-10497	16	12	november	november	PROPN
spir-10497	16	13	,	,	PUNCT
spir-10497	16	14	we	we	PRON
spir-10497	16	15	fit	fit	VERB
spir-10497	16	16	a	a	DET
spir-10497	16	17	statistical	statistical	ADJ
spir-10497	16	18	model	model	NOUN
spir-10497	16	19	to	to	ADP
spir-10497	16	20	the	the	DET
spir-10497	16	21	daily	daily	ADJ
spir-10497	16	22	distribution	distribution	NOUN
spir-10497	16	23	of	of	ADP
spir-10497	16	24	tweet	tweet	NOUN
spir-10497	16	25	lengths	length	NOUN
spir-10497	16	26	.	.	PUNCT
spir-10497	17	1	this	this	DET
spir-10497	17	2	model	model	NOUN
spir-10497	17	3	assumed	assume	VERB
spir-10497	17	4	a	a	DET
spir-10497	17	5	stochastic	stochastic	ADJ
spir-10497	17	6	generative	generative	ADJ
spir-10497	17	7	process	process	NOUN
spir-10497	17	8	whereby	whereby	SCONJ
spir-10497	17	9	individuals	individual	NOUN
spir-10497	17	10	would	would	AUX
spir-10497	17	11	author	author	VERB
spir-10497	17	12	a	a	DET
spir-10497	17	13	tweet	tweet	NOUN
spir-10497	17	14	of	of	ADP
spir-10497	17	15	random	random	ADJ
spir-10497	17	16	length	length	NOUN
spir-10497	17	17	l	l	NOUN
spir-10497	17	18	,	,	PUNCT
spir-10497	17	19	drawn	draw	VERB
spir-10497	17	20	from	from	ADP
spir-10497	17	21	a	a	DET
spir-10497	17	22	2	2	NUM
spir-10497	17	23	-	-	PUNCT
spir-10497	17	24	parameter	parameter	NOUN
spir-10497	17	25	length	length	NOUN
spir-10497	17	26	distribution	distribution	NOUN
spir-10497	17	27	f(l	f(l	NOUN
spir-10497	17	28	;	;	PUNCT
spir-10497	17	29	𝜇	𝜇	X
spir-10497	17	30	,	,	PUNCT
spir-10497	17	31	𝜎	𝜎	NOUN
spir-10497	17	32	)	)	PUNCT
spir-10497	17	33	;	;	PUNCT
spir-10497	17	34	if	if	SCONJ
spir-10497	17	35	𝓁	𝓁	X
spir-10497	17	36	>	>	X
spir-10497	17	37	lmax	lmax	X
spir-10497	17	38	(	(	PUNCT
spir-10497	17	39	i.e.	i.e.	X
spir-10497	17	40	,	,	PUNCT
spir-10497	17	41	if	if	SCONJ
spir-10497	17	42	the	the	DET
spir-10497	17	43	individual	individual	NOUN
spir-10497	17	44	wrote	write	VERB
spir-10497	17	45	a	a	DET
spir-10497	17	46	tweet	tweet	NOUN
spir-10497	17	47	longer	long	ADV
spir-10497	17	48	than	than	ADP
spir-10497	17	49	the	the	DET
spir-10497	17	50	perceived	perceive	VERB
spir-10497	17	51	character	character	NOUN
spir-10497	17	52	limit	limit	NOUN
spir-10497	17	53	,	,	PUNCT
spir-10497	17	54	lmax	lmax	NOUN
spir-10497	17	55	=	=	SYM
spir-10497	17	56	140	140	NUM
spir-10497	17	57	or	or	CCONJ
spir-10497	17	58	lmax	lmax	X
spir-10497	17	59	=	=	SYM
spir-10497	17	60	280	280	NUM
spir-10497	17	61	)	)	PUNCT
spir-10497	17	62	they	they	PRON
spir-10497	17	63	would	would	AUX
spir-10497	17	64	“	"	PUNCT
spir-10497	17	65	edit	edit	VERB
spir-10497	17	66	”	"	PUNCT
spir-10497	17	67	their	their	PRON
spir-10497	17	68	tweet	tweet	NOUN
spir-10497	17	69	such	such	ADJ
spir-10497	17	70	that	that	SCONJ
spir-10497	17	71	the	the	DET
spir-10497	17	72	final	final	ADJ
spir-10497	17	73	message	message	NOUN
spir-10497	17	74	length	length	NOUN
spir-10497	17	75	was	be	AUX
spir-10497	17	76	l	l	NOUN
spir-10497	17	77	=	=	PUNCT
spir-10497	17	78	lmax	lmax	X
spir-10497	17	79	–	–	PUNCT
spir-10497	17	80	𝓁	𝓁	X
spir-10497	17	81	,	,	PUNCT
spir-10497	17	82	where	where	SCONJ
spir-10497	17	83	𝓁	𝓁	PRON
spir-10497	17	84	was	be	AUX
spir-10497	17	85	drawn	draw	VERB
spir-10497	17	86	from	from	ADP
spir-10497	17	87	a	a	DET
spir-10497	17	88	1	1	NUM
spir-10497	17	89	-	-	PUNCT
spir-10497	17	90	parameter	parameter	NOUN
spir-10497	17	91	distribution	distribution	NOUN
spir-10497	17	92	g(𝓁	g(𝓁	NOUN
spir-10497	17	93	;	;	PUNCT
spir-10497	17	94	𝜆i	𝜆i	NUM
spir-10497	17	95	)	)	PUNCT
spir-10497	17	96	.	.	PUNCT
spir-10497	18	1	we	we	PRON
spir-10497	18	2	modeled	model	VERB
spir-10497	18	3	individuals	individual	NOUN
spir-10497	18	4	’	'	PUNCT
spir-10497	18	5	observed	observed	ADJ
spir-10497	18	6	delay	delay	NOUN
spir-10497	18	7	in	in	ADP
spir-10497	18	8	adapting	adapt	VERB
spir-10497	18	9	to	to	ADP
spir-10497	18	10	the	the	DET
spir-10497	18	11	longer	long	ADJ
spir-10497	18	12	character	character	NOUN
spir-10497	18	13	length	length	NOUN
spir-10497	18	14	lmax	lmax	VERB
spir-10497	18	15	through	through	ADP
spir-10497	18	16	a	a	DET
spir-10497	18	17	parameter	parameter	NOUN
spir-10497	19	1	p	p	NOUN
spir-10497	19	2	controlling	control	VERB
spir-10497	19	3	the	the	DET
spir-10497	19	4	probability	probability	NOUN
spir-10497	19	5	of	of	ADP
spir-10497	19	6	using	use	VERB
spir-10497	19	7	lmax	lmax	NOUN
spir-10497	19	8	=	=	SYM
spir-10497	19	9	140	140	NUM
spir-10497	19	10	or	or	CCONJ
spir-10497	19	11	lmax	lmax	ADJ
spir-10497	19	12	=	=	SYM
spir-10497	19	13	280	280	NUM
spir-10497	19	14	.	.	PUNCT
spir-10497	20	1	we	we	PRON
spir-10497	20	2	performed	perform	VERB
spir-10497	20	3	model	model	NOUN
spir-10497	20	4	selection	selection	NOUN
spir-10497	20	5	using	use	VERB
spir-10497	20	6	akaike	akaike	ADJ
spir-10497	20	7	’s	’s	PART
spir-10497	20	8	information	information	NOUN
spir-10497	20	9	criterion	criterion	NOUN
spir-10497	20	10	(	(	PUNCT
spir-10497	20	11	aic	aic	PROPN
spir-10497	20	12	)	)	PUNCT
spir-10497	20	13	to	to	PART
spir-10497	20	14	determine	determine	VERB
spir-10497	20	15	the	the	DET
spir-10497	20	16	most	most	ADV
spir-10497	20	17	appropriate	appropriate	ADJ
spir-10497	20	18	distributions	distribution	NOUN
spir-10497	20	19	f	f	NOUN
spir-10497	20	20	and	and	CCONJ
spir-10497	20	21	g	g	NOUN
spir-10497	20	22	,	,	PUNCT
spir-10497	20	23	and	and	CCONJ
spir-10497	20	24	used	use	VERB
spir-10497	20	25	approximate	approximate	ADJ
spir-10497	20	26	bayesian	bayesian	NOUN
spir-10497	20	27	computation	computation	NOUN
spir-10497	20	28	(	(	PUNCT
spir-10497	20	29	abc	abc	PROPN
spir-10497	20	30	)	)	PUNCT
spir-10497	20	31	(	(	PUNCT
spir-10497	20	32	e	e	NOUN
spir-10497	20	33	,	,	PUNCT
spir-10497	20	34	g.	g.	PROPN
spir-10497	20	35	,	,	PUNCT
spir-10497	20	36	toni	toni	PROPN
spir-10497	20	37	et	et	PROPN
spir-10497	20	38	al	al	PROPN
spir-10497	20	39	.	.	PROPN
spir-10497	20	40	2009	2009	NUM
spir-10497	20	41	)	)	PUNCT
spir-10497	20	42	to	to	PART
spir-10497	20	43	obtain	obtain	VERB
spir-10497	20	44	posterior	posterior	ADJ
spir-10497	20	45	estimates	estimate	NOUN
spir-10497	20	46	of	of	ADP
spir-10497	20	47	the	the	DET
spir-10497	20	48	parameters	parameter	NOUN
spir-10497	20	49	𝜇	𝜇	ADP
spir-10497	20	50	,	,	PUNCT
spir-10497	20	51	𝜎	𝜎	PROPN
spir-10497	20	52	,	,	PUNCT
spir-10497	20	53	𝜆i	𝜆i	NUM
spir-10497	20	54	,	,	PUNCT
spir-10497	20	55	p.	p.	NOUN
spir-10497	20	56	results	result	NOUN
spir-10497	20	57	figure	figure	VERB
spir-10497	20	58	1	1	NUM
spir-10497	20	59	shows	show	VERB
spir-10497	20	60	that	that	SCONJ
spir-10497	20	61	the	the	DET
spir-10497	20	62	average	average	ADJ
spir-10497	20	63	flesch	flesch	PROPN
spir-10497	20	64	-	-	PUNCT
spir-10497	20	65	kincaid	kincaid	PROPN
spir-10497	20	66	reading	reading	NOUN
spir-10497	20	67	grade	grade	NOUN
spir-10497	20	68	clearly	clearly	ADV
spir-10497	20	69	increased	increase	VERB
spir-10497	20	70	by	by	ADP
spir-10497	20	71	approximately	approximately	ADV
spir-10497	20	72	half	half	DET
spir-10497	20	73	a	a	DET
spir-10497	20	74	grade	grade	NOUN
spir-10497	20	75	after	after	ADP
spir-10497	20	76	the	the	DET
spir-10497	20	77	character	character	NOUN
spir-10497	20	78	limit	limit	NOUN
spir-10497	20	79	change	change	NOUN
spir-10497	20	80	(	(	PUNCT
spir-10497	20	81	indicated	indicate	VERB
spir-10497	20	82	by	by	ADP
spir-10497	20	83	the	the	DET
spir-10497	20	84	vertical	vertical	ADJ
spir-10497	20	85	line	line	NOUN
spir-10497	20	86	)	)	PUNCT
spir-10497	20	87	,	,	PUNCT
spir-10497	20	88	with	with	ADP
spir-10497	20	89	a	a	DET
spir-10497	20	90	change	change	NOUN
spir-10497	20	91	-	-	PUNCT
spir-10497	20	92	point	point	NOUN
spir-10497	20	93	analysis	analysis	NOUN
spir-10497	20	94	(	(	PUNCT
spir-10497	20	95	lavielle	lavielle	NOUN
spir-10497	20	96	2005	2005	NUM
spir-10497	20	97	)	)	PUNCT
spir-10497	20	98	showing	show	VERB
spir-10497	20	99	a	a	DET
spir-10497	20	100	significant	significant	ADJ
spir-10497	20	101	change	change	NOUN
spir-10497	20	102	in	in	ADP
spir-10497	20	103	the	the	DET
spir-10497	20	104	standard	standard	ADJ
spir-10497	20	105	deviation	deviation	NOUN
spir-10497	20	106	of	of	ADP
spir-10497	20	107	the	the	DET
spir-10497	20	108	signal	signal	NOUN
spir-10497	20	109	at	at	ADP
spir-10497	20	110	this	this	DET
spir-10497	20	111	same	same	ADJ
spir-10497	20	112	time	time	NOUN
spir-10497	20	113	.	.	PUNCT
spir-10497	21	1	interestingly	interestingly	ADV
spir-10497	21	2	,	,	PUNCT
spir-10497	21	3	despite	despite	SCONJ
spir-10497	21	4	the	the	DET
spir-10497	21	5	increased	increase	VERB
spir-10497	21	6	character	character	NOUN
spir-10497	21	7	length	length	VERB
spir-10497	21	8	a	a	DET
spir-10497	21	9	substantial	substantial	ADJ
spir-10497	21	10	drop	drop	NOUN
spir-10497	21	11	in	in	ADP
spir-10497	21	12	average	average	ADJ
spir-10497	21	13	tweet	tweet	NOUN
spir-10497	21	14	reading	reading	NOUN
spir-10497	21	15	level	level	NOUN
spir-10497	21	16	was	be	AUX
spir-10497	21	17	observed	observe	VERB
spir-10497	21	18	around	around	ADP
spir-10497	21	19	new	new	ADJ
spir-10497	21	20	years	year	NOUN
spir-10497	21	21	eve	eve	VERB
spir-10497	21	22	2017	2017	NUM
spir-10497	21	23	.	.	PUNCT
spir-10497	22	1	future	future	ADJ
spir-10497	22	2	work	work	NOUN
spir-10497	22	3	could	could	AUX
spir-10497	22	4	explore	explore	VERB
spir-10497	22	5	whether	whether	SCONJ
spir-10497	22	6	this	this	PRON
spir-10497	22	7	is	be	AUX
spir-10497	22	8	an	an	DET
spir-10497	22	9	annual	annual	ADJ
spir-10497	22	10	trend	trend	NOUN
spir-10497	22	11	or	or	CCONJ
spir-10497	22	12	not	not	PART
spir-10497	22	13	,	,	PUNCT
spir-10497	22	14	the	the	DET
spir-10497	22	15	language	language	NOUN
spir-10497	22	16	features	feature	VERB
spir-10497	22	17	driving	drive	VERB
spir-10497	22	18	the	the	DET
spir-10497	22	19	change	change	NOUN
spir-10497	22	20	,	,	PUNCT
spir-10497	22	21	and	and	CCONJ
spir-10497	22	22	cultural	cultural	ADJ
spir-10497	22	23	reasons	reason	NOUN
spir-10497	22	24	underlying	underlie	VERB
spir-10497	22	25	why	why	SCONJ
spir-10497	22	26	this	this	DET
spir-10497	22	27	particular	particular	ADJ
spir-10497	22	28	holiday	holiday	NOUN
spir-10497	22	29	(	(	PUNCT
spir-10497	22	30	rather	rather	ADV
spir-10497	22	31	than	than	ADP
spir-10497	22	32	,	,	PUNCT
spir-10497	22	33	e.g.	e.g.	ADV
spir-10497	22	34	,	,	PUNCT
spir-10497	22	35	christmas	christmas	PROPN
spir-10497	22	36	)	)	PUNCT
spir-10497	22	37	exhibits	exhibit	VERB
spir-10497	22	38	such	such	DET
spir-10497	22	39	a	a	DET
spir-10497	22	40	stark	stark	ADJ
spir-10497	22	41	decrease	decrease	NOUN
spir-10497	22	42	in	in	ADP
spir-10497	22	43	linguistic	linguistic	ADJ
spir-10497	22	44	complexity	complexity	NOUN
spir-10497	22	45	.	.	PUNCT
spir-10497	23	1	figure	figure	VERB
spir-10497	23	2	1	1	NUM
spir-10497	23	3	:	:	PUNCT
spir-10497	23	4	average	average	ADJ
spir-10497	23	5	tweet	tweet	PROPN
spir-10497	23	6	flesch	flesch	PROPN
spir-10497	23	7	-	-	PUNCT
spir-10497	23	8	kincaid	kincaid	PROPN
spir-10497	23	9	reading	reading	NOUN
spir-10497	23	10	level	level	NOUN
spir-10497	23	11	before	before	ADV
spir-10497	23	12	and	and	CCONJ
spir-10497	23	13	after	after	ADP
spir-10497	23	14	twitter	twitter	NOUN
spir-10497	23	15	’s	’s	PART
spir-10497	23	16	character	character	NOUN
spir-10497	23	17	limit	limit	NOUN
spir-10497	23	18	change	change	NOUN
spir-10497	23	19	(	(	PUNCT
spir-10497	23	20	vertical	vertical	ADJ
spir-10497	23	21	line	line	NOUN
spir-10497	23	22	)	)	PUNCT
spir-10497	23	23	.	.	PUNCT
spir-10497	24	1	oct	oct	PROPN
spir-10497	24	2	2017	2017	NUM
spir-10497	24	3	nov	nov	PROPN
spir-10497	24	4	2017	2017	NUM
spir-10497	24	5	dec	dec	PROPN
spir-10497	24	6	2017	2017	NUM
spir-10497	24	7	jan	jan	PROPN
spir-10497	24	8	2018	2018	NUM
spir-10497	24	9	4.8	4.8	NUM
spir-10497	24	10	5	5	NUM
spir-10497	24	11	5.2	5.2	NUM
spir-10497	24	12	5.4	5.4	NUM
spir-10497	24	13	5.6	5.6	NUM
spir-10497	24	14	5.8	5.8	NUM
spir-10497	24	15	6	6	NUM
spir-10497	24	16	av	av	PROPN
spir-10497	24	17	er	er	INTJ
spir-10497	24	18	ag	ag	PROPN
spir-10497	25	1	e	e	PROPN
spir-10497	25	2	fl	fl	NOUN
spir-10497	25	3	es	es	ADP
spir-10497	25	4	ch	ch	PROPN
spir-10497	25	5	-k	-k	INTJ
spir-10497	25	6	in	in	ADP
spir-10497	25	7	ca	can	AUX
spir-10497	25	8	i	i	PROPN
spir-10497	25	9	d	d	PROPN
spir-10497	25	10	re	re	X
spir-10497	25	11	ad	ad	NOUN
spir-10497	25	12	in	in	ADP
spir-10497	25	13	g	g	PROPN
spir-10497	25	14	gr	gr	NOUN
spir-10497	26	1	ad	ad	NOUN
spir-10497	26	2	e	e	NOUN
spir-10497	26	3	consistent	consistent	ADJ
spir-10497	26	4	with	with	ADP
spir-10497	26	5	the	the	DET
spir-10497	26	6	literature	literature	NOUN
spir-10497	26	7	(	(	PUNCT
spir-10497	26	8	szell	szell	INTJ
spir-10497	26	9	et	et	PROPN
spir-10497	26	10	al	al	PROPN
spir-10497	26	11	.	.	PROPN
spir-10497	26	12	2015	2015	NUM
spir-10497	26	13	)	)	PUNCT
spir-10497	26	14	,	,	PUNCT
spir-10497	26	15	aic	aic	PROPN
spir-10497	26	16	model	model	NOUN
spir-10497	26	17	selection	selection	NOUN
spir-10497	26	18	on	on	ADP
spir-10497	26	19	a	a	DET
spir-10497	26	20	range	range	NOUN
spir-10497	26	21	of	of	ADP
spir-10497	26	22	message	message	NOUN
spir-10497	26	23	length	length	NOUN
spir-10497	26	24	distributions	distribution	NOUN
spir-10497	26	25	(	(	PUNCT
spir-10497	26	26	poisson	poisson	NOUN
spir-10497	26	27	,	,	PUNCT
spir-10497	26	28	negative	negative	ADJ
spir-10497	26	29	binomial	binomial	ADJ
spir-10497	26	30	,	,	PUNCT
spir-10497	26	31	lognormal	lognormal	ADJ
spir-10497	26	32	,	,	PUNCT
spir-10497	26	33	sichel	sichel	NOUN
spir-10497	26	34	)	)	PUNCT
spir-10497	26	35	selected	select	VERB
spir-10497	26	36	a	a	DET
spir-10497	26	37	lognormal	lognormal	ADJ
spir-10497	26	38	distribution	distribution	NOUN
spir-10497	26	39	as	as	ADP
spir-10497	26	40	the	the	DET
spir-10497	26	41	best	good	ADJ
spir-10497	26	42	model	model	NOUN
spir-10497	26	43	for	for	ADP
spir-10497	26	44	the	the	DET
spir-10497	26	45	majority	majority	NOUN
spir-10497	26	46	of	of	ADP
spir-10497	26	47	the	the	DET
spir-10497	26	48	tweet	tweet	NOUN
spir-10497	26	49	length	length	NOUN
spir-10497	26	50	distributions	distribution	NOUN
spir-10497	26	51	,	,	PUNCT
spir-10497	26	52	both	both	CCONJ
spir-10497	26	53	before	before	ADP
spir-10497	26	54	and	and	CCONJ
spir-10497	26	55	after	after	ADP
spir-10497	26	56	the	the	DET
spir-10497	26	57	character	character	NOUN
spir-10497	26	58	limit	limit	NOUN
spir-10497	26	59	change	change	NOUN
spir-10497	26	60	.	.	PUNCT
spir-10497	27	1	figure	figure	NOUN
spir-10497	27	2	2	2	NUM
spir-10497	27	3	shows	show	VERB
spir-10497	27	4	one	one	NUM
spir-10497	27	5	such	such	ADJ
spir-10497	27	6	model	model	NOUN
spir-10497	27	7	fit	fit	NOUN
spir-10497	27	8	,	,	PUNCT
spir-10497	27	9	for	for	ADP
spir-10497	27	10	21	21	NUM
spir-10497	27	11	november	november	PROPN
spir-10497	27	12	2017	2017	NUM
spir-10497	27	13	,	,	PUNCT
spir-10497	27	14	2	2	NUM
spir-10497	27	15	weeks	week	NOUN
spir-10497	27	16	after	after	ADP
spir-10497	27	17	the	the	DET
spir-10497	27	18	change	change	NOUN
spir-10497	27	19	.	.	PUNCT
spir-10497	28	1	figure	figure	NOUN
spir-10497	28	2	2	2	NUM
spir-10497	28	3	:	:	PUNCT
spir-10497	28	4	model	model	NOUN
spir-10497	28	5	fits	fit	VERB
spir-10497	28	6	to	to	ADP
spir-10497	28	7	the	the	DET
spir-10497	28	8	tweet	tweet	NOUN
spir-10497	28	9	length	length	NOUN
spir-10497	28	10	distribution	distribution	NOUN
spir-10497	28	11	.	.	PUNCT
spir-10497	29	1	the	the	DET
spir-10497	29	2	difference	difference	NOUN
spir-10497	29	3	between	between	ADP
spir-10497	29	4	the	the	DET
spir-10497	29	5	observed	observe	VERB
spir-10497	29	6	distribution	distribution	NOUN
spir-10497	29	7	of	of	ADP
spir-10497	29	8	tweet	tweet	NOUN
spir-10497	29	9	lengths	length	NOUN
spir-10497	29	10	and	and	CCONJ
spir-10497	29	11	the	the	DET
spir-10497	29	12	expected	expect	VERB
spir-10497	29	13	lognormal	lognormal	ADJ
spir-10497	29	14	fits	fit	VERB
spir-10497	29	15	for	for	ADP
spir-10497	29	16	(	(	PUNCT
spir-10497	29	17	a	a	X
spir-10497	29	18	)	)	PUNCT
spir-10497	29	19	100	100	NUM
spir-10497	29	20	<	<	X
spir-10497	29	21	l	l	X
spir-10497	29	22	<	<	X
spir-10497	29	23	140	140	NUM
spir-10497	29	24	and	and	CCONJ
spir-10497	29	25	(	(	PUNCT
spir-10497	29	26	b	b	NOUN
spir-10497	29	27	)	)	PUNCT
spir-10497	29	28	240	240	NUM
spir-10497	29	29	<	<	X
spir-10497	29	30	l	l	X
spir-10497	29	31	<	<	X
spir-10497	29	32	280	280	NUM
spir-10497	29	33	provides	provide	VERB
spir-10497	29	34	estimates	estimate	NOUN
spir-10497	29	35	of	of	ADP
spir-10497	29	36	the	the	DET
spir-10497	29	37	proportions	proportion	NOUN
spir-10497	29	38	of	of	ADP
spir-10497	29	39	individuals	individual	NOUN
spir-10497	29	40	who	who	PRON
spir-10497	29	41	either	either	CCONJ
spir-10497	29	42	(	(	PUNCT
spir-10497	29	43	a	a	X
spir-10497	29	44	)	)	PUNCT
spir-10497	29	45	unnecessarily	unnecessarily	ADV
spir-10497	29	46	self	self	NOUN
spir-10497	29	47	-	-	PUNCT
spir-10497	29	48	edited	edit	VERB
spir-10497	29	49	their	their	PRON
spir-10497	29	50	tweets	tweet	NOUN
spir-10497	29	51	based	base	VERB
spir-10497	29	52	on	on	ADP
spir-10497	29	53	a	a	DET
spir-10497	29	54	perceived	perceive	VERB
spir-10497	29	55	maximum	maximum	ADJ
spir-10497	29	56	length	length	NOUN
spir-10497	29	57	of	of	ADP
spir-10497	29	58	140	140	NUM
spir-10497	29	59	characters	character	NOUN
spir-10497	29	60	,	,	PUNCT
spir-10497	29	61	or	or	CCONJ
spir-10497	29	62	(	(	PUNCT
spir-10497	29	63	b	b	NOUN
spir-10497	29	64	)	)	PUNCT
spir-10497	29	65	found	find	VERB
spir-10497	29	66	that	that	SCONJ
spir-10497	29	67	the	the	DET
spir-10497	29	68	new	new	ADJ
spir-10497	29	69	280	280	NUM
spir-10497	29	70	character	character	NOUN
spir-10497	29	71	limit	limit	NOUN
spir-10497	29	72	to	to	PART
spir-10497	29	73	still	still	ADV
spir-10497	29	74	be	be	AUX
spir-10497	29	75	insufficient	insufficient	ADJ
spir-10497	29	76	and	and	CCONJ
spir-10497	29	77	self	self	NOUN
spir-10497	29	78	-	-	PUNCT
spir-10497	29	79	edited	edit	VERB
spir-10497	29	80	their	their	PRON
spir-10497	29	81	tweet	tweet	NOUN
spir-10497	29	82	.	.	PUNCT
spir-10497	30	1	these	these	DET
spir-10497	30	2	proportions	proportion	NOUN
spir-10497	30	3	are	be	AUX
spir-10497	30	4	shown	show	VERB
spir-10497	30	5	in	in	ADP
spir-10497	30	6	figure	figure	NOUN
spir-10497	30	7	3	3	NUM
spir-10497	30	8	,	,	PUNCT
spir-10497	30	9	for	for	ADP
spir-10497	30	10	the	the	DET
spir-10497	30	11	period	period	NOUN
spir-10497	30	12	after	after	ADP
spir-10497	30	13	7	7	NUM
spir-10497	30	14	november	november	PROPN
spir-10497	30	15	2017	2017	NUM
spir-10497	30	16	.	.	PUNCT
spir-10497	31	1	0	0	NUM
spir-10497	31	2	50	50	NUM
spir-10497	31	3	100	100	NUM
spir-10497	31	4	150	150	NUM
spir-10497	31	5	200	200	NUM
spir-10497	31	6	250	250	NUM
spir-10497	31	7	300	300	NUM
spir-10497	31	8	tweet	tweet	NOUN
spir-10497	31	9	length	length	NOUN
spir-10497	31	10	l	l	NOUN
spir-10497	31	11	0	0	NUM
spir-10497	31	12	1	1	NUM
spir-10497	31	13	2	2	NUM
spir-10497	31	14	3	3	NUM
spir-10497	31	15	4	4	NUM
spir-10497	31	16	5	5	NUM
spir-10497	31	17	n	n	NUM
spir-10497	31	18	um	um	INTJ
spir-10497	31	19	be	be	AUX
spir-10497	32	1	r	r	NOUN
spir-10497	32	2	o	o	NOUN
spir-10497	32	3	f	f	X
spir-10497	32	4	t	t	PROPN
spir-10497	32	5	w	w	PROPN
spir-10497	32	6	ee	ee	PROPN
spir-10497	32	7	ts	ts	ADP
spir-10497	32	8	104	104	NUM
spir-10497	32	9	data	datum	NOUN
spir-10497	32	10	full	full	ADJ
spir-10497	32	11	model	model	NOUN
spir-10497	32	12	fit	fit	ADJ
spir-10497	32	13	fitted	fit	VERB
spir-10497	32	14	lognormal	lognormal	ADJ
spir-10497	32	15	distribution	distribution	NOUN
spir-10497	32	16	figure	figure	NOUN
spir-10497	32	17	3	3	NUM
spir-10497	32	18	:	:	PUNCT
spir-10497	32	19	estimated	estimate	VERB
spir-10497	32	20	proportions	proportion	NOUN
spir-10497	32	21	of	of	ADP
spir-10497	32	22	self	self	NOUN
spir-10497	32	23	-	-	PUNCT
spir-10497	32	24	editors	editor	NOUN
spir-10497	32	25	.	.	PUNCT
spir-10497	33	1	note	note	VERB
spir-10497	33	2	that	that	SCONJ
spir-10497	33	3	the	the	DET
spir-10497	33	4	overall	overall	ADJ
spir-10497	33	5	proportion	proportion	NOUN
spir-10497	33	6	stays	stay	VERB
spir-10497	33	7	roughly	roughly	ADV
spir-10497	33	8	constant	constant	ADJ
spir-10497	33	9	.	.	PUNCT
spir-10497	34	1	we	we	PRON
spir-10497	34	2	remark	remark	VERB
spir-10497	34	3	on	on	ADP
spir-10497	34	4	a	a	DET
spir-10497	34	5	number	number	NOUN
spir-10497	34	6	of	of	ADP
spir-10497	34	7	interesting	interesting	ADJ
spir-10497	34	8	findings	finding	NOUN
spir-10497	34	9	revealed	reveal	VERB
spir-10497	34	10	by	by	ADP
spir-10497	34	11	this	this	DET
spir-10497	34	12	analysis	analysis	NOUN
spir-10497	34	13	.	.	PUNCT
spir-10497	35	1	first	first	ADV
spir-10497	35	2	,	,	PUNCT
spir-10497	35	3	the	the	DET
spir-10497	35	4	estimated	estimate	VERB
spir-10497	35	5	proportion	proportion	NOUN
spir-10497	35	6	of	of	ADP
spir-10497	35	7	individuals	individual	NOUN
spir-10497	35	8	apparently	apparently	ADV
spir-10497	35	9	not	not	PART
spir-10497	35	10	realizing	realize	VERB
spir-10497	35	11	that	that	SCONJ
spir-10497	35	12	the	the	DET
spir-10497	35	13	character	character	NOUN
spir-10497	35	14	limit	limit	NOUN
spir-10497	35	15	increased	increase	VERB
spir-10497	35	16	after	after	ADP
spir-10497	35	17	7	7	NUM
spir-10497	35	18	november	november	PROPN
spir-10497	35	19	2017	2017	NUM
spir-10497	35	20	is	be	AUX
spir-10497	35	21	surprisingly	surprisingly	ADV
spir-10497	35	22	high	high	ADJ
spir-10497	35	23	,	,	PUNCT
spir-10497	35	24	with	with	ADP
spir-10497	35	25	over	over	ADP
spir-10497	35	26	5	5	NUM
spir-10497	35	27	%	%	NOUN
spir-10497	35	28	of	of	ADP
spir-10497	35	29	the	the	DET
spir-10497	35	30	twitter	twitter	NOUN
spir-10497	35	31	-	-	PUNCT
spir-10497	35	32	using	use	VERB
spir-10497	35	33	population	population	NOUN
spir-10497	35	34	continuing	continue	VERB
spir-10497	35	35	to	to	PART
spir-10497	35	36	exhibit	exhibit	VERB
spir-10497	35	37	behavior	behavior	NOUN
spir-10497	35	38	consistent	consistent	ADJ
spir-10497	35	39	with	with	ADP
spir-10497	35	40	a	a	DET
spir-10497	35	41	perceived	perceive	VERB
spir-10497	35	42	140	140	NUM
spir-10497	35	43	-	-	PUNCT
spir-10497	35	44	character	character	NOUN
spir-10497	35	45	limit	limit	NOUN
spir-10497	35	46	a	a	DET
spir-10497	35	47	week	week	NOUN
spir-10497	35	48	after	after	ADP
spir-10497	35	49	the	the	DET
spir-10497	35	50	change	change	NOUN
spir-10497	35	51	.	.	PUNCT
spir-10497	36	1	indeed	indeed	ADV
spir-10497	36	2	,	,	PUNCT
spir-10497	36	3	it	it	PRON
spir-10497	36	4	appears	appear	VERB
spir-10497	36	5	to	to	PART
spir-10497	36	6	take	take	VERB
spir-10497	36	7	at	at	ADV
spir-10497	36	8	least	least	ADV
spir-10497	36	9	3	3	NUM
spir-10497	36	10	weeks	week	NOUN
spir-10497	36	11	for	for	SCONJ
spir-10497	36	12	this	this	DET
spir-10497	36	13	proportion	proportion	NOUN
spir-10497	36	14	to	to	PART
spir-10497	36	15	equilibrate	equilibrate	VERB
spir-10497	36	16	,	,	PUNCT
spir-10497	36	17	with	with	ADP
spir-10497	36	18	still	still	ADV
spir-10497	36	19	a	a	DET
spir-10497	36	20	slight	slight	ADJ
spir-10497	36	21	downward	downward	ADJ
spir-10497	36	22	trend	trend	NOUN
spir-10497	36	23	in	in	ADP
spir-10497	36	24	january	january	PROPN
spir-10497	36	25	2018	2018	NUM
spir-10497	36	26	.	.	PUNCT
spir-10497	37	1	this	this	PRON
spir-10497	37	2	suggests	suggest	VERB
spir-10497	37	3	a	a	DET
spir-10497	37	4	surprisingly	surprisingly	ADV
spir-10497	37	5	long	long	ADJ
spir-10497	37	6	response	response	NOUN
spir-10497	37	7	time	time	NOUN
spir-10497	37	8	for	for	ADP
spir-10497	37	9	this	this	DET
spir-10497	37	10	population	population	NOUN
spir-10497	37	11	,	,	PUNCT
spir-10497	37	12	with	with	ADP
spir-10497	37	13	individual	individual	ADJ
spir-10497	37	14	behavior	behavior	NOUN
spir-10497	37	15	taking	take	VERB
spir-10497	37	16	weeks	week	NOUN
spir-10497	37	17	or	or	CCONJ
spir-10497	37	18	possibly	possibly	ADV
spir-10497	37	19	months	month	NOUN
spir-10497	37	20	to	to	PART
spir-10497	37	21	adjust	adjust	VERB
spir-10497	37	22	to	to	ADP
spir-10497	37	23	changes	change	NOUN
spir-10497	37	24	in	in	ADP
spir-10497	37	25	the	the	DET
spir-10497	37	26	medium	medium	NOUN
spir-10497	37	27	.	.	PUNCT
spir-10497	38	1	furthermore	furthermore	ADV
spir-10497	38	2	,	,	PUNCT
spir-10497	38	3	the	the	DET
spir-10497	38	4	decrease	decrease	NOUN
spir-10497	38	5	in	in	ADP
spir-10497	38	6	this	this	DET
spir-10497	38	7	proportion	proportion	NOUN
spir-10497	38	8	is	be	AUX
spir-10497	38	9	approximately	approximately	ADV
spir-10497	38	10	balanced	balance	VERB
spir-10497	38	11	by	by	ADP
spir-10497	38	12	an	an	DET
spir-10497	38	13	increase	increase	NOUN
spir-10497	38	14	in	in	ADP
spir-10497	38	15	the	the	DET
spir-10497	38	16	estimated	estimate	VERB
spir-10497	38	17	proportion	proportion	NOUN
spir-10497	38	18	of	of	ADP
spir-10497	38	19	users	user	NOUN
spir-10497	38	20	self	self	NOUN
spir-10497	38	21	-	-	PUNCT
spir-10497	38	22	editing	edit	VERB
spir-10497	38	23	their	their	PRON
spir-10497	38	24	tweets	tweet	NOUN
spir-10497	38	25	back	back	ADV
spir-10497	38	26	from	from	ADP
spir-10497	38	27	280	280	NUM
spir-10497	38	28	characters	character	NOUN
spir-10497	38	29	.	.	PUNCT
spir-10497	39	1	this	this	PRON
spir-10497	39	2	produces	produce	VERB
spir-10497	39	3	a	a	DET
spir-10497	39	4	roughly	roughly	ADV
spir-10497	39	5	constant	constant	ADJ
spir-10497	39	6	proportion	proportion	NOUN
spir-10497	39	7	of	of	ADP
spir-10497	39	8	around	around	ADP
spir-10497	39	9	8	8	NUM
spir-10497	39	10	%	%	NOUN
spir-10497	39	11	of	of	ADP
spir-10497	39	12	the	the	DET
spir-10497	39	13	population	population	NOUN
spir-10497	39	14	being	be	AUX
spir-10497	39	15	“	"	PUNCT
spir-10497	39	16	dissatisfied	dissatisfied	ADJ
spir-10497	39	17	”	"	PUNCT
spir-10497	39	18	with	with	ADP
spir-10497	39	19	the	the	DET
spir-10497	39	20	increased	increase	VERB
spir-10497	39	21	character	character	NOUN
spir-10497	39	22	limit	limit	NOUN
spir-10497	39	23	.	.	PUNCT
spir-10497	40	1	while	while	SCONJ
spir-10497	40	2	this	this	PRON
spir-10497	40	3	has	have	AUX
spir-10497	40	4	clearly	clearly	ADV
spir-10497	40	5	decreased	decrease	VERB
spir-10497	40	6	from	from	ADP
spir-10497	40	7	the	the	DET
spir-10497	40	8	dissatisfaction	dissatisfaction	NOUN
spir-10497	40	9	level	level	NOUN
spir-10497	40	10	of	of	ADP
spir-10497	40	11	22	22	NUM
spir-10497	40	12	%	%	NOUN
spir-10497	40	13	reported	report	VERB
spir-10497	40	14	by	by	ADP
spir-10497	40	15	szell	szell	INTJ
spir-10497	40	16	et	et	PROPN
spir-10497	40	17	al	al	PROPN
spir-10497	40	18	.	.	PUNCT
spir-10497	41	1	(	(	PUNCT
spir-10497	41	2	2014	2014	NUM
spir-10497	41	3	)	)	PUNCT
spir-10497	41	4	for	for	ADP
spir-10497	41	5	the	the	DET
spir-10497	41	6	previous	previous	ADJ
spir-10497	41	7	140character	140character	PROPN
spir-10497	41	8	limit	limit	NOUN
spir-10497	41	9	,	,	PUNCT
spir-10497	41	10	it	it	PRON
spir-10497	41	11	is	be	AUX
spir-10497	41	12	substantially	substantially	ADV
spir-10497	41	13	more	more	ADJ
spir-10497	41	14	than	than	ADP
spir-10497	41	15	the	the	DET
spir-10497	41	16	1.7	1.7	NUM
spir-10497	41	17	%	%	NOUN
spir-10497	41	18	they	they	PRON
spir-10497	41	19	estimated	estimate	VERB
spir-10497	41	20	if	if	SCONJ
spir-10497	41	21	the	the	DET
spir-10497	41	22	character	character	NOUN
spir-10497	41	23	limit	limit	NOUN
spir-10497	41	24	were	be	AUX
spir-10497	41	25	increased	increase	VERB
spir-10497	41	26	to	to	PART
spir-10497	41	27	lmax	lmax	VERB
spir-10497	41	28	=	=	SYM
spir-10497	41	29	256	256	NUM
spir-10497	41	30	.	.	PUNCT
spir-10497	42	1	this	this	PRON
spir-10497	42	2	,	,	PUNCT
spir-10497	42	3	coupled	couple	VERB
spir-10497	42	4	with	with	ADP
spir-10497	42	5	the	the	DET
spir-10497	42	6	change	change	NOUN
spir-10497	42	7	in	in	ADP
spir-10497	42	8	average	average	ADJ
spir-10497	42	9	flesch	flesch	PROPN
spir-10497	42	10	-	-	PUNCT
spir-10497	42	11	kincaid	kincaid	PROPN
spir-10497	42	12	reading	reading	NOUN
spir-10497	42	13	grade	grade	NOUN
spir-10497	42	14	(	(	PUNCT
spir-10497	42	15	figure	figure	NOUN
spir-10497	42	16	1	1	NUM
spir-10497	42	17	)	)	PUNCT
spir-10497	42	18	,	,	PUNCT
spir-10497	42	19	suggests	suggest	VERB
spir-10497	42	20	a	a	DET
spir-10497	42	21	shift	shift	NOUN
spir-10497	42	22	in	in	ADP
spir-10497	42	23	individual	individual	ADJ
spir-10497	42	24	behavior	behavior	NOUN
spir-10497	42	25	induced	induce	VERB
spir-10497	42	26	by	by	ADP
spir-10497	42	27	the	the	DET
spir-10497	42	28	exogenous	exogenous	ADJ
spir-10497	42	29	change	change	NOUN
spir-10497	42	30	to	to	ADP
spir-10497	42	31	the	the	DET
spir-10497	42	32	medium	medium	NOUN
spir-10497	42	33	of	of	ADP
spir-10497	42	34	communication	communication	NOUN
spir-10497	42	35	.	.	PUNCT
spir-10497	43	1	discussion	discussion	NOUN
spir-10497	43	2	these	these	DET
spir-10497	43	3	results	result	NOUN
spir-10497	43	4	provide	provide	VERB
spir-10497	43	5	the	the	DET
spir-10497	43	6	first	first	ADJ
spir-10497	43	7	empirical	empirical	ADJ
spir-10497	43	8	evidence	evidence	NOUN
spir-10497	43	9	for	for	ADP
spir-10497	43	10	a	a	DET
spir-10497	43	11	shift	shift	NOUN
spir-10497	43	12	in	in	ADP
spir-10497	43	13	individual	individual	ADJ
spir-10497	43	14	communication	communication	NOUN
spir-10497	43	15	and	and	CCONJ
spir-10497	43	16	linguistic	linguistic	ADJ
spir-10497	43	17	evolution	evolution	NOUN
spir-10497	43	18	on	on	ADP
spir-10497	43	19	the	the	DET
spir-10497	43	20	twitter	twitter	NOUN
spir-10497	43	21	online	online	ADJ
spir-10497	43	22	social	social	ADJ
spir-10497	43	23	network	network	NOUN
spir-10497	43	24	after	after	ADP
spir-10497	43	25	the	the	DET
spir-10497	43	26	7	7	NUM
spir-10497	43	27	november	november	PROPN
spir-10497	43	28	2017	2017	NUM
spir-10497	43	29	character	character	NOUN
spir-10497	43	30	limit	limit	NOUN
spir-10497	43	31	increase	increase	NOUN
spir-10497	43	32	.	.	PUNCT
spir-10497	44	1	while	while	SCONJ
spir-10497	44	2	limited	limit	VERB
spir-10497	44	3	to	to	ADP
spir-10497	44	4	a	a	DET
spir-10497	44	5	single	single	ADJ
spir-10497	44	6	platform	platform	NOUN
spir-10497	44	7	,	,	PUNCT
spir-10497	44	8	our	our	PRON
spir-10497	44	9	results	result	NOUN
spir-10497	44	10	are	be	AUX
spir-10497	44	11	consistent	consistent	ADJ
spir-10497	44	12	with	with	ADP
spir-10497	44	13	the	the	DET
spir-10497	44	14	findings	finding	NOUN
spir-10497	44	15	of	of	ADP
spir-10497	44	16	other	other	ADJ
spir-10497	44	17	authors	author	NOUN
spir-10497	44	18	performing	perform	VERB
spir-10497	44	19	similar	similar	ADJ
spir-10497	44	20	studies	study	NOUN
spir-10497	44	21	across	across	ADP
spir-10497	44	22	multiple	multiple	ADJ
spir-10497	44	23	online	online	ADJ
spir-10497	44	24	media	medium	NOUN
spir-10497	44	25	(	(	PUNCT
spir-10497	44	26	szell	szell	INTJ
spir-10497	44	27	et	et	PROPN
spir-10497	44	28	al	al	PROPN
spir-10497	44	29	.	.	PROPN
spir-10497	44	30	2015	2015	NUM
spir-10497	44	31	,	,	PUNCT
spir-10497	44	32	sobkowicz	sobkowicz	PROPN
spir-10497	44	33	et	et	PROPN
spir-10497	44	34	al	al	PROPN
spir-10497	44	35	.	.	PROPN
spir-10497	44	36	2013	2013	NUM
spir-10497	44	37	)	)	PUNCT
spir-10497	44	38	.	.	PUNCT
spir-10497	45	1	06	06	NUM
spir-10497	45	2	-	-	PUNCT
spir-10497	45	3	nov-2017	nov-2017	NOUN
spir-10497	45	4	04	04	NUM
spir-10497	45	5	-	-	PUNCT
spir-10497	45	6	dec-2017	dec-2017	NOUN
spir-10497	45	7	01	01	NUM
spir-10497	45	8	-	-	PUNCT
spir-10497	45	9	jan-2018	jan-2018	NOUN
spir-10497	45	10	0	0	NUM
spir-10497	45	11	0.02	0.02	NUM
spir-10497	45	12	0.04	0.04	NUM
spir-10497	45	13	0.06	0.06	NUM
spir-10497	45	14	0.08	0.08	NUM
spir-10497	45	15	0.1	0.1	NUM
spir-10497	45	16	0.12	0.12	NUM
spir-10497	45	17	0.14	0.14	NUM
spir-10497	45	18	es	es	ADP
spir-10497	45	19	tim	tim	PROPN
spir-10497	45	20	at	at	ADP
spir-10497	45	21	ed	ed	PROPN
spir-10497	45	22	s	s	PROPN
spir-10497	45	23	el	el	PROPN
spir-10497	45	24	f	f	PROPN
spir-10497	45	25	-	-	PUNCT
spir-10497	45	26	e	e	X
spir-10497	45	27	di	di	NOUN
spir-10497	45	28	t	t	PROPN
spir-10497	45	29	p	p	PROPN
spir-10497	45	30	ro	ro	INTJ
spir-10497	45	31	po	po	PROPN
spir-10497	45	32	rti	rti	PROPN
spir-10497	45	33	on	on	ADP
spir-10497	45	34	(	(	PUNCT
spir-10497	45	35	a	a	DET
spir-10497	45	36	)	)	PUNCT
spir-10497	45	37	lmax	lmax	NOUN
spir-10497	45	38	=	=	SYM
spir-10497	45	39	140	140	NUM
spir-10497	45	40	(	(	PUNCT
spir-10497	45	41	b	b	NOUN
spir-10497	45	42	)	)	PUNCT
spir-10497	45	43	lmax	lmax	NOUN
spir-10497	45	44	=	=	SYM
spir-10497	45	45	280	280	NUM
spir-10497	45	46	total	total	NOUN
spir-10497	45	47	in	in	ADP
spir-10497	45	48	particular	particular	ADJ
spir-10497	45	49	,	,	PUNCT
spir-10497	45	50	the	the	DET
spir-10497	45	51	agreement	agreement	NOUN
spir-10497	45	52	we	we	PRON
spir-10497	45	53	found	find	VERB
spir-10497	45	54	between	between	ADP
spir-10497	45	55	the	the	DET
spir-10497	45	56	data	datum	NOUN
spir-10497	45	57	and	and	CCONJ
spir-10497	45	58	a	a	DET
spir-10497	45	59	lognormal	lognormal	ADJ
spir-10497	45	60	distribution	distribution	NOUN
spir-10497	45	61	(	(	PUNCT
spir-10497	45	62	figure	figure	NOUN
spir-10497	45	63	2	2	NUM
spir-10497	45	64	)	)	PUNCT
spir-10497	45	65	is	be	AUX
spir-10497	45	66	striking	strike	VERB
spir-10497	45	67	.	.	PUNCT
spir-10497	46	1	what	what	PRON
spir-10497	46	2	is	be	AUX
spir-10497	46	3	it	it	PRON
spir-10497	46	4	about	about	ADP
spir-10497	46	5	twitter	twitter	NOUN
spir-10497	46	6	(	(	PUNCT
spir-10497	46	7	and	and	CCONJ
spir-10497	46	8	other	other	ADJ
spir-10497	46	9	online	online	ADJ
spir-10497	46	10	communication	communication	NOUN
spir-10497	46	11	media	medium	NOUN
spir-10497	46	12	)	)	PUNCT
spir-10497	46	13	that	that	PRON
spir-10497	46	14	appears	appear	VERB
spir-10497	46	15	to	to	PART
spir-10497	46	16	give	give	VERB
spir-10497	46	17	rise	rise	NOUN
spir-10497	46	18	to	to	ADP
spir-10497	46	19	this	this	DET
spir-10497	46	20	distribution	distribution	NOUN
spir-10497	46	21	,	,	PUNCT
spir-10497	46	22	regardless	regardless	ADV
spir-10497	46	23	of	of	ADP
spir-10497	46	24	constraints	constraint	NOUN
spir-10497	46	25	on	on	ADP
spir-10497	46	26	message	message	NOUN
spir-10497	46	27	length	length	NOUN
spir-10497	46	28	?	?	PUNCT
spir-10497	47	1	gros	gro	NOUN
spir-10497	47	2	et	et	PROPN
spir-10497	47	3	al	al	PROPN
spir-10497	47	4	.	.	PROPN
spir-10497	48	1	(	(	PUNCT
spir-10497	48	2	2012	2012	NUM
spir-10497	48	3	)	)	PUNCT
spir-10497	48	4	suggest	suggest	VERB
spir-10497	48	5	that	that	SCONJ
spir-10497	48	6	neurophysiological	neurophysiological	ADJ
spir-10497	48	7	constraints	constraint	NOUN
spir-10497	48	8	in	in	ADP
spir-10497	48	9	perceiving	perceive	VERB
spir-10497	48	10	multiple	multiple	ADJ
spir-10497	48	11	forms	form	NOUN
spir-10497	48	12	of	of	ADP
spir-10497	48	13	information	information	NOUN
spir-10497	48	14	limit	limit	VERB
spir-10497	48	15	the	the	DET
spir-10497	48	16	ability	ability	NOUN
spir-10497	48	17	to	to	PART
spir-10497	48	18	produce	produce	VERB
spir-10497	48	19	new	new	ADJ
spir-10497	48	20	information	information	NOUN
spir-10497	48	21	,	,	PUNCT
spir-10497	48	22	which	which	PRON
spir-10497	48	23	ultimately	ultimately	ADV
spir-10497	48	24	gives	give	VERB
spir-10497	48	25	rise	rise	NOUN
spir-10497	48	26	to	to	ADP
spir-10497	48	27	multimedia	multimedia	NOUN
spir-10497	48	28	files	file	NOUN
spir-10497	48	29	being	be	AUX
spir-10497	48	30	lognormally	lognormally	ADV
spir-10497	48	31	distributed	distribute	VERB
spir-10497	48	32	.	.	PUNCT
spir-10497	49	1	sobkowicz	sobkowicz	VERB
spir-10497	49	2	et	et	PROPN
spir-10497	49	3	al	al	PROPN
spir-10497	49	4	.	.	PROPN
spir-10497	50	1	(	(	PUNCT
spir-10497	50	2	2013	2013	NUM
spir-10497	50	3	)	)	PUNCT
spir-10497	50	4	provide	provide	VERB
spir-10497	50	5	experimental	experimental	ADJ
spir-10497	50	6	evidence	evidence	NOUN
spir-10497	50	7	for	for	ADP
spir-10497	50	8	internet	internet	NOUN
spir-10497	50	9	post	post	NOUN
spir-10497	50	10	lengths	length	NOUN
spir-10497	50	11	,	,	PUNCT
spir-10497	50	12	that	that	PRON
spir-10497	50	13	perceived	perceive	VERB
spir-10497	50	14	differences	difference	NOUN
spir-10497	50	15	in	in	ADP
spir-10497	50	16	the	the	DET
spir-10497	50	17	times	time	NOUN
spir-10497	50	18	taken	take	VERB
spir-10497	50	19	to	to	PART
spir-10497	50	20	assimilate	assimilate	VERB
spir-10497	50	21	information	information	NOUN
spir-10497	50	22	and	and	CCONJ
spir-10497	50	23	then	then	ADV
spir-10497	50	24	write	write	VERB
spir-10497	50	25	new	new	ADJ
spir-10497	50	26	content	content	NOUN
spir-10497	50	27	leads	lead	VERB
spir-10497	50	28	to	to	ADP
spir-10497	50	29	lognormal	lognormal	ADJ
spir-10497	50	30	distributions	distribution	NOUN
spir-10497	50	31	,	,	PUNCT
spir-10497	50	32	a	a	DET
spir-10497	50	33	consequence	consequence	NOUN
spir-10497	50	34	of	of	ADP
spir-10497	50	35	the	the	DET
spir-10497	50	36	weber	weber	PROPN
spir-10497	50	37	-	-	PUNCT
spir-10497	50	38	fechner	fechner	NOUN
spir-10497	50	39	law	law	NOUN
spir-10497	50	40	in	in	ADP
spir-10497	50	41	psychology	psychology	NOUN
spir-10497	50	42	.	.	PUNCT
spir-10497	51	1	our	our	PRON
spir-10497	51	2	results	result	NOUN
spir-10497	51	3	provide	provide	VERB
spir-10497	51	4	further	further	ADJ
spir-10497	51	5	observational	observational	ADJ
spir-10497	51	6	evidence	evidence	NOUN
spir-10497	51	7	for	for	ADP
spir-10497	51	8	this	this	DET
spir-10497	51	9	theory	theory	NOUN
spir-10497	51	10	.	.	PUNCT
spir-10497	52	1	finally	finally	ADV
spir-10497	52	2	,	,	PUNCT
spir-10497	52	3	we	we	PRON
spir-10497	52	4	remark	remark	VERB
spir-10497	52	5	that	that	SCONJ
spir-10497	52	6	a	a	DET
spir-10497	52	7	key	key	ADJ
spir-10497	52	8	ingredient	ingredient	NOUN
spir-10497	52	9	for	for	ADP
spir-10497	52	10	this	this	DET
spir-10497	52	11	analysis	analysis	NOUN
spir-10497	52	12	was	be	AUX
spir-10497	52	13	the	the	DET
spir-10497	52	14	use	use	NOUN
spir-10497	52	15	of	of	ADP
spir-10497	52	16	generative	generative	ADJ
spir-10497	52	17	mathematical	mathematical	ADJ
spir-10497	52	18	models	model	NOUN
spir-10497	52	19	,	,	PUNCT
spir-10497	52	20	coupled	couple	VERB
spir-10497	52	21	with	with	ADP
spir-10497	52	22	efficient	efficient	ADJ
spir-10497	52	23	bayesian	bayesian	NOUN
spir-10497	52	24	parameter	parameter	NOUN
spir-10497	52	25	estimation	estimation	NOUN
spir-10497	52	26	algorithms	algorithm	NOUN
spir-10497	52	27	(	(	PUNCT
spir-10497	52	28	abc	abc	PROPN
spir-10497	52	29	)	)	PUNCT
spir-10497	52	30	to	to	PART
spir-10497	52	31	quantify	quantify	VERB
spir-10497	52	32	the	the	DET
spir-10497	52	33	not	not	PART
spir-10497	52	34	-	-	PUNCT
spir-10497	52	35	directly	directly	ADV
spir-10497	52	36	-	-	PUNCT
spir-10497	52	37	observable	observable	ADJ
spir-10497	52	38	proportions	proportion	NOUN
spir-10497	52	39	of	of	ADP
spir-10497	52	40	“	"	PUNCT
spir-10497	52	41	dissatisfied	dissatisfied	ADJ
spir-10497	52	42	”	"	PUNCT
spir-10497	52	43	individuals	individual	NOUN
spir-10497	52	44	on	on	ADP
spir-10497	52	45	twitter	twitter	NOUN
spir-10497	52	46	.	.	PUNCT
spir-10497	53	1	we	we	PRON
spir-10497	53	2	argue	argue	VERB
spir-10497	53	3	that	that	SCONJ
spir-10497	53	4	mathematical	mathematical	ADJ
spir-10497	53	5	models	model	NOUN
spir-10497	53	6	present	present	ADJ
spir-10497	53	7	to	to	ADP
spir-10497	53	8	the	the	DET
spir-10497	53	9	modern	modern	ADJ
spir-10497	53	10	internet	internet	NOUN
spir-10497	53	11	researcher	researcher	NOUN
spir-10497	53	12	a	a	DET
spir-10497	53	13	powerful	powerful	ADJ
spir-10497	53	14	alternative	alternative	ADJ
spir-10497	53	15	exploratory	exploratory	ADJ
spir-10497	53	16	methodology	methodology	NOUN
spir-10497	53	17	for	for	ADP
spir-10497	53	18	"	"	PUNCT
spir-10497	53	19	big	big	ADJ
spir-10497	53	20	"	"	PUNCT
spir-10497	53	21	social	social	ADJ
spir-10497	53	22	media	medium	NOUN
spir-10497	53	23	datasets	dataset	NOUN
spir-10497	53	24	,	,	PUNCT
spir-10497	53	25	and	and	CCONJ
spir-10497	53	26	that	that	SCONJ
spir-10497	53	27	such	such	ADJ
spir-10497	53	28	computational	computational	ADJ
spir-10497	53	29	methods	method	NOUN
spir-10497	53	30	empower	empower	VERB
spir-10497	53	31	a	a	DET
spir-10497	53	32	deeper	deep	ADJ
spir-10497	53	33	understanding	understanding	NOUN
spir-10497	53	34	of	of	ADP
spir-10497	53	35	the	the	DET
spir-10497	53	36	human	human	ADJ
spir-10497	53	37	and	and	CCONJ
spir-10497	53	38	social	social	ADJ
spir-10497	53	39	processes	process	NOUN
spir-10497	53	40	underlying	underlie	VERB
spir-10497	53	41	the	the	DET
spir-10497	53	42	patterns	pattern	NOUN
spir-10497	53	43	observed	observe	VERB
spir-10497	53	44	in	in	ADP
spir-10497	53	45	large	large	ADJ
spir-10497	53	46	-	-	PUNCT
spir-10497	53	47	scale	scale	NOUN
spir-10497	53	48	internet	internet	NOUN
spir-10497	53	49	research	research	NOUN
spir-10497	53	50	.	.	PUNCT
spir-10497	54	1	references	reference	NOUN
spir-10497	54	2	gros	gros	PROPN
spir-10497	54	3	,	,	PUNCT
spir-10497	54	4	c.	c.	PROPN
spir-10497	54	5	,	,	PUNCT
spir-10497	54	6	kaczor	kaczor	PROPN
spir-10497	54	7	,	,	PUNCT
spir-10497	54	8	g.	g.	PROPN
spir-10497	54	9	,	,	PUNCT
spir-10497	54	10	&	&	CCONJ
spir-10497	54	11	marković	marković	PROPN
spir-10497	54	12	,	,	PUNCT
spir-10497	54	13	d.	d.	PROPN
spir-10497	54	14	(	(	PUNCT
spir-10497	54	15	2012	2012	NUM
spir-10497	54	16	)	)	PUNCT
spir-10497	54	17	.	.	PUNCT
spir-10497	55	1	neuropsychological	neuropsychological	ADJ
spir-10497	55	2	constraints	constraint	NOUN
spir-10497	55	3	to	to	ADP
spir-10497	55	4	human	human	ADJ
spir-10497	55	5	data	data	NOUN
spir-10497	55	6	production	production	NOUN
spir-10497	55	7	on	on	ADP
spir-10497	55	8	a	a	DET
spir-10497	55	9	global	global	ADJ
spir-10497	55	10	scale	scale	NOUN
spir-10497	55	11	.	.	PUNCT
spir-10497	56	1	european	european	PROPN
spir-10497	56	2	physical	physical	PROPN
spir-10497	56	3	journal	journal	PROPN
spir-10497	56	4	b	b	PROPN
spir-10497	56	5	,	,	PUNCT
spir-10497	56	6	85(1	85(1	NOUN
spir-10497	56	7	)	)	PUNCT
spir-10497	56	8	,	,	PUNCT
spir-10497	56	9	28	28	NUM
spir-10497	56	10	.	.	PUNCT
spir-10497	57	1	kincaid	kincaid	PROPN
spir-10497	57	2	,	,	PUNCT
spir-10497	57	3	j.	j.	PROPN
spir-10497	57	4	p.	p.	PROPN
spir-10497	57	5	,	,	PUNCT
spir-10497	57	6	fishburne	fishburne	PROPN
spir-10497	57	7	,	,	PUNCT
spir-10497	57	8	r.	r.	PROPN
spir-10497	57	9	p.	p.	PROPN
spir-10497	57	10	jr	jr	PROPN
spir-10497	57	11	,	,	PUNCT
spir-10497	57	12	rogers	rogers	PROPN
spir-10497	57	13	,	,	PUNCT
spir-10497	57	14	r.	r.	PROPN
spir-10497	57	15	l.	l.	PROPN
spir-10497	57	16	,	,	PUNCT
spir-10497	57	17	&	&	CCONJ
spir-10497	57	18	chissom	chissom	PROPN
spir-10497	57	19	,	,	PUNCT
spir-10497	57	20	b.	b.	PROPN
spir-10497	57	21	s.	s.	PROPN
spir-10497	57	22	(	(	PUNCT
spir-10497	57	23	1975	1975	NUM
spir-10497	57	24	)	)	PUNCT
spir-10497	57	25	.	.	PUNCT
spir-10497	58	1	"	"	PUNCT
spir-10497	58	2	derivation	derivation	NOUN
spir-10497	58	3	of	of	ADP
spir-10497	58	4	new	new	ADJ
spir-10497	58	5	readability	readability	NOUN
spir-10497	58	6	formulas	formula	NOUN
spir-10497	58	7	(	(	PUNCT
spir-10497	58	8	automated	automate	VERB
spir-10497	58	9	readability	readability	NOUN
spir-10497	58	10	index	index	NOUN
spir-10497	58	11	,	,	PUNCT
spir-10497	58	12	fog	fog	NOUN
spir-10497	58	13	count	count	PROPN
spir-10497	58	14	and	and	CCONJ
spir-10497	58	15	flesch	flesch	PROPN
spir-10497	58	16	reading	reading	NOUN
spir-10497	58	17	ease	ease	NOUN
spir-10497	58	18	formula	formula	NOUN
spir-10497	58	19	)	)	PUNCT
spir-10497	58	20	for	for	ADP
spir-10497	58	21	navy	navy	PROPN
spir-10497	58	22	enlisted	enlist	VERB
spir-10497	58	23	personnel	personnel	NOUN
spir-10497	58	24	"	"	PUNCT
spir-10497	58	25	.	.	PUNCT
spir-10497	59	1	research	research	NOUN
spir-10497	59	2	branch	branch	NOUN
spir-10497	59	3	report	report	NOUN
spir-10497	59	4	875	875	NUM
spir-10497	59	5	,	,	PUNCT
spir-10497	59	6	millington	millington	PROPN
spir-10497	59	7	,	,	PUNCT
spir-10497	59	8	tn	tn	PROPN
spir-10497	59	9	:	:	PUNCT
spir-10497	59	10	naval	naval	PROPN
spir-10497	59	11	technical	technical	ADJ
spir-10497	59	12	training	training	NOUN
spir-10497	59	13	,	,	PUNCT
spir-10497	59	14	u.	u.	PROPN
spir-10497	59	15	s.	s.	PROPN
spir-10497	59	16	naval	naval	PROPN
spir-10497	59	17	air	air	PROPN
spir-10497	59	18	station	station	PROPN
spir-10497	59	19	,	,	PUNCT
spir-10497	59	20	memphis	memphis	PROPN
spir-10497	59	21	,	,	PUNCT
spir-10497	59	22	tn	tn	PROPN
spir-10497	59	23	.	.	PUNCT
spir-10497	59	24	lavielle	lavielle	PROPN
spir-10497	59	25	,	,	PUNCT
spir-10497	59	26	m.	m.	NOUN
spir-10497	59	27	(	(	PUNCT
spir-10497	59	28	2005	2005	NUM
spir-10497	59	29	)	)	PUNCT
spir-10497	59	30	.	.	PUNCT
spir-10497	60	1	using	use	VERB
spir-10497	60	2	penalized	penalize	VERB
spir-10497	60	3	contrasts	contrast	NOUN
spir-10497	60	4	for	for	ADP
spir-10497	60	5	the	the	DET
spir-10497	60	6	change	change	NOUN
spir-10497	60	7	-	-	PUNCT
spir-10497	60	8	point	point	NOUN
spir-10497	60	9	problem	problem	NOUN
spir-10497	60	10	.	.	PUNCT
spir-10497	61	1	signal	signal	ADJ
spir-10497	61	2	processing	processing	NOUN
spir-10497	61	3	.	.	PUNCT
spir-10497	62	1	85(august	85(august	NUM
spir-10497	62	2	)	)	PUNCT
spir-10497	62	3	,	,	PUNCT
spir-10497	62	4	1501–1510	1501–1510	NUM
spir-10497	62	5	.	.	PUNCT
spir-10497	63	1	rosen	rosen	PROPN
spir-10497	63	2	,	,	PUNCT
spir-10497	63	3	a.	a.	PROPN
spir-10497	63	4	(	(	PUNCT
spir-10497	63	5	2017	2017	NUM
spir-10497	63	6	)	)	PUNCT
spir-10497	63	7	.	.	PUNCT
spir-10497	64	1	tweeting	tweeting	AUX
spir-10497	64	2	made	make	VERB
spir-10497	64	3	easier	easy	ADJ
spir-10497	64	4	.	.	PUNCT
spir-10497	65	1	twitter	twitter	NOUN
spir-10497	65	2	developer	developer	NOUN
spir-10497	65	3	blog	blog	NOUN
spir-10497	65	4	,	,	PUNCT
spir-10497	65	5	7	7	NUM
spir-10497	65	6	november	november	PROPN
spir-10497	65	7	2017	2017	NUM
spir-10497	65	8	.	.	PUNCT
spir-10497	66	1	url	url	PROPN
spir-10497	66	2	:	:	PUNCT
spir-10497	66	3	https://blog.twitter.com/official/en_us/topics/product/2017/tweetingmadeeasier.html	https://blog.twitter.com/official/en_us/topics/product/2017/tweetingmadeeasier.html	PROPN
spir-10497	66	4	sobkowicz	sobkowicz	VERB
spir-10497	66	5	,	,	PUNCT
spir-10497	66	6	p.	p.	NOUN
spir-10497	66	7	,	,	PUNCT
spir-10497	66	8	thelwall	thelwall	NOUN
spir-10497	66	9	,	,	PUNCT
spir-10497	66	10	m.	m.	NOUN
spir-10497	66	11	,	,	PUNCT
spir-10497	66	12	buckley	buckley	NOUN
spir-10497	66	13	,	,	PUNCT
spir-10497	66	14	k.	k.	PROPN
spir-10497	66	15	,	,	PUNCT
spir-10497	66	16	paltoglou	paltoglou	PROPN
spir-10497	66	17	,	,	PUNCT
spir-10497	66	18	g.	g.	PROPN
spir-10497	66	19	,	,	PUNCT
spir-10497	66	20	&	&	CCONJ
spir-10497	66	21	sobkowicz	sobkowicz	PROPN
spir-10497	66	22	,	,	PUNCT
spir-10497	66	23	a.	a.	NOUN
spir-10497	66	24	(	(	PUNCT
spir-10497	66	25	2013	2013	NUM
spir-10497	66	26	)	)	PUNCT
spir-10497	66	27	.	.	PUNCT
spir-10497	67	1	lognormal	lognormal	ADJ
spir-10497	67	2	distributions	distribution	NOUN
spir-10497	67	3	of	of	ADP
spir-10497	67	4	user	user	NOUN
spir-10497	67	5	post	post	NOUN
spir-10497	67	6	lengths	length	NOUN
spir-10497	67	7	in	in	ADP
spir-10497	67	8	internet	internet	NOUN
spir-10497	67	9	discussions	discussion	NOUN
spir-10497	67	10	a	a	DET
spir-10497	67	11	consequence	consequence	NOUN
spir-10497	67	12	of	of	ADP
spir-10497	67	13	the	the	DET
spir-10497	67	14	weber	weber	PROPN
spir-10497	67	15	-	-	PUNCT
spir-10497	67	16	fechner	fechner	NOUN
spir-10497	67	17	law	law	NOUN
spir-10497	67	18	?	?	PUNCT
spir-10497	68	1	epj	epj	NOUN
spir-10497	68	2	data	datum	NOUN
spir-10497	68	3	science	science	NOUN
spir-10497	68	4	,	,	PUNCT
spir-10497	68	5	2(1	2(1	NUM
spir-10497	68	6	)	)	PUNCT
spir-10497	68	7	,	,	PUNCT
spir-10497	68	8	2	2	X
spir-10497	68	9	.	.	X
spir-10497	68	10	szell	szell	ADJ
spir-10497	68	11	,	,	PUNCT
spir-10497	68	12	m.	m.	NOUN
spir-10497	68	13	,	,	PUNCT
spir-10497	68	14	grauwin	grauwin	PROPN
spir-10497	68	15	,	,	PUNCT
spir-10497	68	16	s.	s.	PROPN
spir-10497	68	17	,	,	PUNCT
spir-10497	68	18	&	&	CCONJ
spir-10497	68	19	ratti	ratti	PROPN
spir-10497	68	20	,	,	PUNCT
spir-10497	68	21	c.	c.	PROPN
spir-10497	68	22	(	(	PUNCT
spir-10497	68	23	2014	2014	NUM
spir-10497	68	24	)	)	PUNCT
spir-10497	68	25	.	.	PUNCT
spir-10497	69	1	contraction	contraction	NOUN
spir-10497	69	2	of	of	ADP
spir-10497	69	3	online	online	ADJ
spir-10497	69	4	response	response	NOUN
spir-10497	69	5	to	to	ADP
spir-10497	69	6	major	major	ADJ
spir-10497	69	7	events	event	NOUN
spir-10497	69	8	.	.	PUNCT
spir-10497	70	1	plos	plos	PROPN
spir-10497	70	2	one	one	NUM
spir-10497	70	3	,	,	PUNCT
spir-10497	70	4	9(2	9(2	NUM
spir-10497	70	5	)	)	PUNCT
spir-10497	70	6	,	,	PUNCT
spir-10497	70	7	e89052	e89052	PROPN
spir-10497	70	8	.	.	PUNCT
spir-10497	70	9	toni	toni	PROPN
spir-10497	70	10	,	,	PUNCT
spir-10497	70	11	t.	t.	PROPN
spir-10497	70	12	,	,	PUNCT
spir-10497	70	13	welch	welch	PROPN
spir-10497	70	14	,	,	PUNCT
spir-10497	70	15	d.	d.	PROPN
spir-10497	70	16	,	,	PUNCT
spir-10497	70	17	strelkowa	strelkowa	PROPN
spir-10497	70	18	,	,	PUNCT
spir-10497	70	19	n.	n.	NOUN
spir-10497	70	20	,	,	PUNCT
spir-10497	70	21	ipsen	ipsen	NOUN
spir-10497	70	22	,	,	PUNCT
spir-10497	70	23	a.	a.	NOUN
spir-10497	70	24	,	,	PUNCT
spir-10497	70	25	&	&	CCONJ
spir-10497	70	26	stumpf	stumpf	PROPN
spir-10497	70	27	,	,	PUNCT
spir-10497	70	28	m.	m.	NOUN
spir-10497	70	29	p.	p.	PROPN
spir-10497	70	30	h.	h.	PROPN
spir-10497	71	1	(	(	PUNCT
spir-10497	71	2	2009	2009	NUM
spir-10497	71	3	)	)	PUNCT
spir-10497	71	4	.	.	PUNCT
spir-10497	72	1	approximate	approximate	ADJ
spir-10497	72	2	bayesian	bayesian	NOUN
spir-10497	72	3	computation	computation	NOUN
spir-10497	72	4	scheme	scheme	NOUN
spir-10497	72	5	for	for	ADP
spir-10497	72	6	parameter	parameter	NOUN
spir-10497	72	7	inference	inference	NOUN
spir-10497	72	8	and	and	CCONJ
spir-10497	72	9	model	model	NOUN
spir-10497	72	10	selection	selection	NOUN
spir-10497	72	11	in	in	ADP
spir-10497	72	12	dynamical	dynamical	ADJ
spir-10497	72	13	systems	system	NOUN
spir-10497	72	14	.	.	PUNCT
spir-10497	73	1	journal	journal	NOUN
spir-10497	73	2	of	of	ADP
spir-10497	73	3	the	the	DET
spir-10497	73	4	royal	royal	ADJ
spir-10497	73	5	society	society	NOUN
spir-10497	73	6	interface	interface	NOUN
spir-10497	73	7	,	,	PUNCT
spir-10497	73	8	6(july	6(july	ADV
spir-10497	73	9	)	)	PUNCT
spir-10497	73	10	,	,	PUNCT
spir-10497	73	11	187–202	187–202	NUM
spir-10497	73	12	.	.	PUNCT