id	sid	tid	token	lemma	pos
spir-10182	1	1	microsoft	microsoft	PROPN
spir-10182	1	2	word	word	NOUN
spir-10182	1	3	characterising_twitter_reply_chains_in_the_australian_twittersphere_(final).docx	characterising_twitter_reply_chains_in_the_australian_twittersphere_(final).docx	PUNCT
spir-10182	1	4	selected	select	VERB
spir-10182	1	5	papers	paper	NOUN
spir-10182	1	6	of	of	ADP
spir-10182	1	7	#	#	SYM
spir-10182	1	8	aoir2017	aoir2017	NOUN
spir-10182	1	9	:	:	PUNCT
spir-10182	1	10	the	the	DET
spir-10182	1	11	18th	18th	ADJ
spir-10182	1	12	annual	annual	ADJ
spir-10182	1	13	conference	conference	NOUN
spir-10182	1	14	of	of	ADP
spir-10182	1	15	the	the	DET
spir-10182	1	16	association	association	NOUN
spir-10182	1	17	of	of	ADP
spir-10182	1	18	internet	internet	NOUN
spir-10182	1	19	researchers	researcher	NOUN
spir-10182	1	20	tartu	tartu	PROPN
spir-10182	1	21	,	,	PUNCT
spir-10182	1	22	estonia	estonia	PROPN
spir-10182	1	23	/	/	SYM
spir-10182	1	24	18	18	NUM
spir-10182	1	25	-	-	SYM
spir-10182	1	26	21	21	NUM
spir-10182	1	27	october	october	PROPN
spir-10182	1	28	2017	2017	NUM
spir-10182	1	29	suggested	suggest	VERB
spir-10182	1	30	citation	citation	NOUN
spir-10182	1	31	(	(	PUNCT
spir-10182	1	32	apa	apa	PROPN
spir-10182	1	33	):	):	PUNCT
spir-10182	1	34	moon	moon	PROPN
spir-10182	1	35	,	,	PUNCT
spir-10182	1	36	b.	b.	PROPN
spir-10182	1	37	(	(	PUNCT
spir-10182	1	38	2017	2017	NUM
spir-10182	1	39	,	,	PUNCT
spir-10182	1	40	october	october	PROPN
spir-10182	1	41	18	18	NUM
spir-10182	1	42	-	-	SYM
spir-10182	1	43	21	21	NUM
spir-10182	1	44	)	)	PUNCT
spir-10182	1	45	.	.	PUNCT
spir-10182	2	1	characterising	characterise	VERB
spir-10182	2	2	twitter	twitter	NOUN
spir-10182	2	3	reply	reply	NOUN
spir-10182	2	4	chains	chain	NOUN
spir-10182	2	5	in	in	ADP
spir-10182	2	6	the	the	DET
spir-10182	2	7	australian	australian	ADJ
spir-10182	2	8	twittersphere	twittersphere	NOUN
spir-10182	2	9	.	.	PUNCT
spir-10182	3	1	paper	paper	NOUN
spir-10182	3	2	presented	present	VERB
spir-10182	3	3	at	at	ADP
spir-10182	3	4	aoir	aoir	NOUN
spir-10182	3	5	2017	2017	NUM
spir-10182	3	6	:	:	PUNCT
spir-10182	3	7	the	the	DET
spir-10182	3	8	18th	18th	ADJ
spir-10182	3	9	annual	annual	ADJ
spir-10182	3	10	conference	conference	NOUN
spir-10182	3	11	of	of	ADP
spir-10182	3	12	the	the	DET
spir-10182	3	13	association	association	NOUN
spir-10182	3	14	of	of	ADP
spir-10182	3	15	internet	internet	NOUN
spir-10182	3	16	researchers	researcher	NOUN
spir-10182	3	17	.	.	PUNCT
spir-10182	4	1	tartu	tartu	PROPN
spir-10182	4	2	,	,	PUNCT
spir-10182	4	3	estonia	estonia	PROPN
spir-10182	4	4	:	:	PUNCT
spir-10182	4	5	aoir	aoir	NOUN
spir-10182	4	6	.	.	PUNCT
spir-10182	4	7	retrieved	retrieve	VERB
spir-10182	4	8	from	from	ADP
spir-10182	4	9	http://spir.aoir.org	http://spir.aoir.org	PROPN
spir-10182	4	10	.	.	PUNCT
spir-10182	5	1	characterising	characterise	VERB
spir-10182	5	2	twitter	twitter	NOUN
spir-10182	5	3	reply	reply	NOUN
spir-10182	5	4	chains	chain	NOUN
spir-10182	5	5	in	in	ADP
spir-10182	5	6	the	the	DET
spir-10182	5	7	australian	australian	ADJ
spir-10182	5	8	twittersphere	twittersphere	PROPN
spir-10182	5	9	brenda	brenda	PROPN
spir-10182	5	10	moon	moon	PROPN
spir-10182	5	11	queensland	queensland	PROPN
spir-10182	5	12	university	university	PROPN
spir-10182	5	13	of	of	ADP
spir-10182	5	14	technology	technology	NOUN
spir-10182	5	15	introduction	introduction	NOUN
spir-10182	5	16	this	this	DET
spir-10182	5	17	research	research	NOUN
spir-10182	5	18	contributes	contribute	VERB
spir-10182	5	19	to	to	ADP
spir-10182	5	20	the	the	DET
spir-10182	5	21	understanding	understanding	NOUN
spir-10182	5	22	of	of	ADP
spir-10182	5	23	conversation	conversation	NOUN
spir-10182	5	24	on	on	ADP
spir-10182	5	25	twitter	twitter	NOUN
spir-10182	5	26	by	by	ADP
spir-10182	5	27	looking	look	VERB
spir-10182	5	28	at	at	ADP
spir-10182	5	29	reply	reply	NOUN
spir-10182	5	30	chain	chain	NOUN
spir-10182	5	31	networks	network	NOUN
spir-10182	5	32	in	in	ADP
spir-10182	5	33	the	the	DET
spir-10182	5	34	australian	australian	ADJ
spir-10182	5	35	twittersphere	twittersphere	NOUN
spir-10182	5	36	.	.	PUNCT
spir-10182	6	1	by	by	ADP
spir-10182	6	2	examining	examine	VERB
spir-10182	6	3	all	all	PRON
spir-10182	6	4	of	of	ADP
spir-10182	6	5	the	the	DET
spir-10182	6	6	reply	reply	NOUN
spir-10182	6	7	chains	chain	NOUN
spir-10182	6	8	in	in	ADP
spir-10182	6	9	november	november	PROPN
spir-10182	6	10	2016	2016	NUM
spir-10182	6	11	from	from	ADP
spir-10182	6	12	the	the	DET
spir-10182	6	13	comprehensive	comprehensive	ADJ
spir-10182	6	14	trisma	trisma	NOUN
spir-10182	6	15	dataset	dataset	VERB
spir-10182	6	16	this	this	DET
spir-10182	6	17	paper	paper	NOUN
spir-10182	6	18	develops	develop	VERB
spir-10182	6	19	a	a	DET
spir-10182	6	20	description	description	NOUN
spir-10182	6	21	of	of	ADP
spir-10182	6	22	the	the	DET
spir-10182	6	23	characteristics	characteristic	NOUN
spir-10182	6	24	of	of	ADP
spir-10182	6	25	reply	reply	NOUN
spir-10182	6	26	chains	chain	NOUN
spir-10182	6	27	in	in	ADP
spir-10182	6	28	the	the	DET
spir-10182	6	29	australian	australian	ADJ
spir-10182	6	30	twittersphere	twittersphere	NOUN
spir-10182	6	31	.	.	PUNCT
spir-10182	7	1	many	many	ADJ
spir-10182	7	2	studies	study	NOUN
spir-10182	7	3	of	of	ADP
spir-10182	7	4	conversation	conversation	NOUN
spir-10182	7	5	on	on	ADP
spir-10182	7	6	twitter	twitter	NOUN
spir-10182	7	7	have	have	AUX
spir-10182	7	8	been	be	AUX
spir-10182	7	9	based	base	VERB
spir-10182	7	10	on	on	ADP
spir-10182	7	11	searching	search	VERB
spir-10182	7	12	for	for	ADP
spir-10182	7	13	specific	specific	ADJ
spir-10182	7	14	keywords	keyword	NOUN
spir-10182	7	15	or	or	CCONJ
spir-10182	7	16	hashtags	hashtag	NOUN
spir-10182	7	17	,	,	PUNCT
spir-10182	7	18	potentially	potentially	ADV
spir-10182	7	19	missing	miss	VERB
spir-10182	7	20	important	important	ADJ
spir-10182	7	21	sections	section	NOUN
spir-10182	7	22	of	of	ADP
spir-10182	7	23	the	the	DET
spir-10182	7	24	conversation	conversation	NOUN
spir-10182	7	25	(	(	PUNCT
spir-10182	7	26	rambukkana	rambukkana	PROPN
spir-10182	7	27	,	,	PUNCT
spir-10182	7	28	2015	2015	NUM
spir-10182	7	29	;	;	PUNCT
spir-10182	7	30	bruns	brun	NOUN
spir-10182	7	31	&	&	CCONJ
spir-10182	7	32	burgess	burgess	PROPN
spir-10182	7	33	,	,	PUNCT
spir-10182	7	34	2015	2015	NUM
spir-10182	7	35	)	)	PUNCT
spir-10182	7	36	.	.	PUNCT
spir-10182	8	1	these	these	DET
spir-10182	8	2	keyword	keyword	NOUN
spir-10182	8	3	or	or	CCONJ
spir-10182	8	4	hashtag	hashtag	NOUN
spir-10182	8	5	based	base	VERB
spir-10182	8	6	studies	study	NOUN
spir-10182	8	7	by	by	ADP
spir-10182	8	8	their	their	PRON
spir-10182	8	9	nature	nature	NOUN
spir-10182	8	10	focus	focus	VERB
spir-10182	8	11	on	on	ADP
spir-10182	8	12	a	a	DET
spir-10182	8	13	single	single	ADJ
spir-10182	8	14	topic	topic	NOUN
spir-10182	8	15	and	and	CCONJ
spir-10182	8	16	may	may	AUX
spir-10182	8	17	not	not	PART
spir-10182	8	18	consider	consider	VERB
spir-10182	8	19	the	the	DET
spir-10182	8	20	conversation	conversation	NOUN
spir-10182	8	21	chains	chain	NOUN
spir-10182	8	22	at	at	ADV
spir-10182	8	23	all	all	ADV
spir-10182	8	24	(	(	PUNCT
spir-10182	8	25	bruns	brun	NOUN
spir-10182	8	26	2012	2012	NUM
spir-10182	8	27	;	;	PUNCT
spir-10182	8	28	moon	moon	NOUN
spir-10182	8	29	,	,	PUNCT
spir-10182	8	30	suzor	suzor	PROPN
spir-10182	8	31	&	&	CCONJ
spir-10182	8	32	matamoros	matamoros	PROPN
spir-10182	8	33	fernández	fernández	PROPN
spir-10182	8	34	2016	2016	NUM
spir-10182	8	35	)	)	PUNCT
spir-10182	8	36	.	.	PUNCT
spir-10182	9	1	to	to	PART
spir-10182	9	2	address	address	VERB
spir-10182	9	3	this	this	DET
spir-10182	9	4	considerable	considerable	ADJ
spir-10182	9	5	limitation	limitation	NOUN
spir-10182	9	6	,	,	PUNCT
spir-10182	9	7	lorentzen	lorentzen	NOUN
spir-10182	9	8	and	and	CCONJ
spir-10182	9	9	nolin	nolin	PROPN
spir-10182	9	10	(	(	PUNCT
spir-10182	9	11	2015	2015	NUM
spir-10182	9	12	)	)	PUNCT
spir-10182	9	13	proposed	propose	VERB
spir-10182	9	14	a	a	DET
spir-10182	9	15	method	method	NOUN
spir-10182	9	16	of	of	ADP
spir-10182	9	17	collecting	collect	VERB
spir-10182	9	18	all	all	DET
spir-10182	9	19	the	the	DET
spir-10182	9	20	tweets	tweet	NOUN
spir-10182	9	21	that	that	PRON
spir-10182	9	22	were	be	AUX
spir-10182	9	23	replied	reply	VERB
spir-10182	9	24	to	to	ADP
spir-10182	9	25	by	by	ADP
spir-10182	9	26	the	the	DET
spir-10182	9	27	tweets	tweet	NOUN
spir-10182	9	28	collected	collect	VERB
spir-10182	9	29	using	use	VERB
spir-10182	9	30	a	a	DET
spir-10182	9	31	keyword	keyword	NOUN
spir-10182	9	32	or	or	CCONJ
spir-10182	9	33	hashtag	hashtag	NOUN
spir-10182	9	34	using	use	VERB
spir-10182	9	35	the	the	DET
spir-10182	9	36	twitter	twitter	NOUN
spir-10182	9	37	api	api	NOUN
spir-10182	9	38	.	.	PUNCT
spir-10182	10	1	by	by	ADP
spir-10182	10	2	using	use	VERB
spir-10182	10	3	the	the	DET
spir-10182	10	4	tracking	tracking	NOUN
spir-10182	10	5	infrastructure	infrastructure	NOUN
spir-10182	10	6	for	for	ADP
spir-10182	10	7	social	social	ADJ
spir-10182	10	8	media	medium	NOUN
spir-10182	10	9	analysis	analysis	NOUN
spir-10182	10	10	(	(	PUNCT
spir-10182	10	11	trisma	trisma	NOUN
spir-10182	10	12	)	)	PUNCT
spir-10182	10	13	(	(	PUNCT
spir-10182	10	14	bruns	brun	NOUN
spir-10182	10	15	,	,	PUNCT
spir-10182	10	16	burgess	burgess	PROPN
spir-10182	10	17	&	&	CCONJ
spir-10182	10	18	banks	banks	PROPN
spir-10182	10	19	et	et	PROPN
spir-10182	10	20	al	al	PROPN
spir-10182	10	21	.	.	PROPN
spir-10182	10	22	,	,	PUNCT
spir-10182	10	23	2016	2016	NUM
spir-10182	10	24	)	)	PUNCT
spir-10182	10	25	,	,	PUNCT
spir-10182	10	26	moon	moon	NOUN
spir-10182	10	27	,	,	PUNCT
spir-10182	10	28	suzor	suzor	PROPN
spir-10182	10	29	&	&	CCONJ
spir-10182	10	30	matamoros	matamoros	PROPN
spir-10182	10	31	fernández	fernández	PROPN
spir-10182	10	32	(	(	PUNCT
spir-10182	10	33	2016	2016	NUM
spir-10182	10	34	)	)	PUNCT
spir-10182	10	35	extended	extend	VERB
spir-10182	10	36	this	this	DET
spir-10182	10	37	technique	technique	NOUN
spir-10182	10	38	to	to	PART
spir-10182	10	39	recursively	recursively	ADV
spir-10182	10	40	collect	collect	VERB
spir-10182	10	41	both	both	DET
spir-10182	10	42	tweets	tweet	NOUN
spir-10182	10	43	replied	reply	VERB
spir-10182	10	44	to	to	ADP
spir-10182	10	45	and	and	CCONJ
spir-10182	10	46	in	in	ADP
spir-10182	10	47	reply	reply	NOUN
spir-10182	10	48	to	to	ADP
spir-10182	10	49	the	the	DET
spir-10182	10	50	initial	initial	ADJ
spir-10182	10	51	set	set	NOUN
spir-10182	10	52	of	of	ADP
spir-10182	10	53	keyword	keyword	NOUN
spir-10182	10	54	tweets	tweet	NOUN
spir-10182	10	55	.	.	PUNCT
spir-10182	11	1	trisma	trisma	PROPN
spir-10182	11	2	captures	capture	VERB
spir-10182	11	3	the	the	DET
spir-10182	11	4	public	public	ADJ
spir-10182	11	5	tweets	tweet	NOUN
spir-10182	11	6	of	of	ADP
spir-10182	11	7	4	4	NUM
spir-10182	11	8	m	m	NOUN
spir-10182	11	9	australian	australian	ADJ
spir-10182	11	10	accounts	account	NOUN
spir-10182	11	11	on	on	ADP
spir-10182	11	12	a	a	DET
spir-10182	11	13	continuous	continuous	ADJ
spir-10182	11	14	basis	basis	NOUN
spir-10182	11	15	,	,	PUNCT
spir-10182	11	16	and	and	CCONJ
spir-10182	11	17	allows	allow	VERB
spir-10182	11	18	searching	search	VERB
spir-10182	11	19	both	both	PRON
spir-10182	11	20	for	for	ADP
spir-10182	11	21	tweets	tweet	NOUN
spir-10182	11	22	which	which	PRON
spir-10182	11	23	are	be	AUX
spir-10182	11	24	in	in	ADP
spir-10182	11	25	reply	reply	NOUN
spir-10182	11	26	to	to	ADP
spir-10182	11	27	the	the	DET
spir-10182	11	28	seed	seed	NOUN
spir-10182	11	29	tweets	tweet	NOUN
spir-10182	11	30	and	and	CCONJ
spir-10182	11	31	for	for	ADP
spir-10182	11	32	tweets	tweet	NOUN
spir-10182	11	33	which	which	PRON
spir-10182	11	34	the	the	DET
spir-10182	11	35	seed	seed	NOUN
spir-10182	11	36	tweets	tweet	NOUN
spir-10182	11	37	replied	reply	VERB
spir-10182	11	38	to	to	ADP
spir-10182	11	39	.	.	PUNCT
spir-10182	12	1	in	in	ADP
spir-10182	12	2	comparison	comparison	NOUN
spir-10182	12	3	,	,	PUNCT
spir-10182	12	4	the	the	DET
spir-10182	12	5	twitter	twitter	NOUN
spir-10182	12	6	api	api	NOUN
spir-10182	12	7	only	only	ADV
spir-10182	12	8	supports	support	VERB
spir-10182	12	9	retrieving	retrieve	VERB
spir-10182	12	10	tweets	tweet	NOUN
spir-10182	12	11	which	which	PRON
spir-10182	12	12	are	be	AUX
spir-10182	12	13	replied	reply	VERB
spir-10182	12	14	to	to	ADP
spir-10182	12	15	by	by	ADP
spir-10182	12	16	the	the	DET
spir-10182	12	17	seed	seed	NOUN
spir-10182	12	18	tweet	tweet	NOUN
spir-10182	12	19	.	.	PUNCT
spir-10182	13	1	the	the	DET
spir-10182	13	2	present	present	ADJ
spir-10182	13	3	paper	paper	NOUN
spir-10182	13	4	both	both	CCONJ
spir-10182	13	5	advances	advance	NOUN
spir-10182	13	6	beyond	beyond	ADP
spir-10182	13	7	the	the	DET
spir-10182	13	8	limitation	limitation	NOUN
spir-10182	13	9	to	to	AUX
spir-10182	13	10	specific	specific	ADJ
spir-10182	13	11	pre	pre	ADJ
spir-10182	13	12	-	-	ADJ
spir-10182	13	13	identified	identified	ADJ
spir-10182	13	14	topics	topic	NOUN
spir-10182	13	15	as	as	SCONJ
spir-10182	13	16	expressed	express	VERB
spir-10182	13	17	through	through	ADP
spir-10182	13	18	keywords	keyword	NOUN
spir-10182	13	19	and	and	CCONJ
spir-10182	13	20	hashtags	hashtag	NOUN
spir-10182	13	21	,	,	PUNCT
spir-10182	13	22	and	and	CCONJ
spir-10182	13	23	builds	build	VERB
spir-10182	13	24	on	on	ADP
spir-10182	13	25	the	the	DET
spir-10182	13	26	author	author	NOUN
spir-10182	13	27	’s	’s	PART
spir-10182	13	28	previous	previous	ADJ
spir-10182	13	29	work	work	NOUN
spir-10182	13	30	in	in	ADP
spir-10182	13	31	developing	develop	VERB
spir-10182	13	32	methods	method	NOUN
spir-10182	13	33	to	to	PART
spir-10182	13	34	trace	trace	VERB
spir-10182	13	35	conversations	conversation	NOUN
spir-10182	13	36	both	both	CCONJ
spir-10182	13	37	backwards	backwards	ADV
spir-10182	13	38	and	and	CCONJ
spir-10182	13	39	forwards	forward	VERB
spir-10182	13	40	from	from	ADP
spir-10182	13	41	selected	select	VERB
spir-10182	13	42	seed	seed	NOUN
spir-10182	13	43	tweets	tweet	NOUN
spir-10182	13	44	.	.	PUNCT
spir-10182	14	1	this	this	DET
spir-10182	14	2	results	result	VERB
spir-10182	14	3	in	in	ADP
spir-10182	14	4	a	a	DET
spir-10182	14	5	considerably	considerably	ADV
spir-10182	14	6	more	more	ADV
spir-10182	14	7	complete	complete	ADJ
spir-10182	14	8	picture	picture	NOUN
spir-10182	14	9	of	of	ADP
spir-10182	14	10	twitter	twitter	NOUN
spir-10182	14	11	conversations	conversation	NOUN
spir-10182	14	12	than	than	SCONJ
spir-10182	14	13	has	have	AUX
spir-10182	14	14	been	be	AUX
spir-10182	14	15	developed	develop	VERB
spir-10182	14	16	in	in	ADP
spir-10182	14	17	the	the	DET
spir-10182	14	18	past	past	NOUN
spir-10182	14	19	.	.	PUNCT
spir-10182	15	1	however	however	ADV
spir-10182	15	2	,	,	PUNCT
spir-10182	15	3	one	one	NUM
spir-10182	15	4	remaining	remain	VERB
spir-10182	15	5	limitation	limitation	NOUN
spir-10182	15	6	of	of	ADP
spir-10182	15	7	the	the	DET
spir-10182	15	8	trisma	trisma	NOUN
spir-10182	15	9	dataset	dataset	NOUN
spir-10182	15	10	is	be	AUX
spir-10182	15	11	that	that	SCONJ
spir-10182	15	12	it	it	PRON
spir-10182	15	13	only	only	ADV
spir-10182	15	14	includes	include	VERB
spir-10182	15	15	tweets	tweet	NOUN
spir-10182	15	16	sent	send	VERB
spir-10182	15	17	by	by	ADP
spir-10182	15	18	the	the	DET
spir-10182	15	19	accounts	account	NOUN
spir-10182	15	20	identified	identify	VERB
spir-10182	15	21	as	as	ADP
spir-10182	15	22	australian	australian	ADJ
spir-10182	15	23	,	,	PUNCT
spir-10182	15	24	and	and	CCONJ
spir-10182	15	25	so	so	ADV
spir-10182	15	26	conversation	conversation	ADJ
spir-10182	15	27	chains	chain	NOUN
spir-10182	15	28	will	will	AUX
spir-10182	15	29	break	break	VERB
spir-10182	15	30	if	if	SCONJ
spir-10182	15	31	there	there	PRON
spir-10182	15	32	are	be	VERB
spir-10182	15	33	tweets	tweet	NOUN
spir-10182	15	34	which	which	PRON
spir-10182	15	35	are	be	AUX
spir-10182	15	36	external	external	ADJ
spir-10182	15	37	to	to	ADP
spir-10182	15	38	the	the	DET
spir-10182	15	39	australian	australian	ADJ
spir-10182	15	40	twittersphere	twittersphere	NOUN
spir-10182	15	41	,	,	PUNCT
spir-10182	15	42	even	even	ADV
spir-10182	15	43	if	if	SCONJ
spir-10182	15	44	they	they	PRON
spir-10182	15	45	then	then	ADV
spir-10182	15	46	continue	continue	VERB
spir-10182	15	47	inside	inside	ADP
spir-10182	15	48	the	the	DET
spir-10182	15	49	australian	australian	ADJ
spir-10182	15	50	twittersphere	twittersphere	NOUN
spir-10182	15	51	.	.	PUNCT
spir-10182	16	1	identifying	identify	VERB
spir-10182	16	2	tweets	tweet	NOUN
spir-10182	16	3	tweets	tweet	NOUN
spir-10182	16	4	involved	involve	VERB
spir-10182	16	5	in	in	ADP
spir-10182	16	6	reply	reply	NOUN
spir-10182	16	7	chains	chain	NOUN
spir-10182	16	8	were	be	AUX
spir-10182	16	9	first	first	ADV
spir-10182	16	10	identified	identify	VERB
spir-10182	16	11	by	by	ADP
spir-10182	16	12	selecting	select	VERB
spir-10182	16	13	all	all	DET
spir-10182	16	14	the	the	DET
spir-10182	16	15	tweets	tweet	NOUN
spir-10182	16	16	from	from	ADP
spir-10182	16	17	the	the	DET
spir-10182	16	18	trisma	trisma	NOUN
spir-10182	16	19	dataset	dataset	NOUN
spir-10182	16	20	that	that	PRON
spir-10182	16	21	had	have	VERB
spir-10182	16	22	their	their	PRON
spir-10182	16	23	‘	'	PUNCT
spir-10182	16	24	in_reply_to_status_id	in_reply_to_status_id	ADJ
spir-10182	16	25	’	'	PUNCT
spir-10182	16	26	field	field	NOUN
spir-10182	16	27	set	set	NOUN
spir-10182	16	28	,	,	PUNCT
spir-10182	16	29	which	which	PRON
spir-10182	16	30	contains	contain	VERB
spir-10182	16	31	the	the	DET
spir-10182	16	32	unique	unique	ADJ
spir-10182	16	33	tweet	tweet	NOUN
spir-10182	16	34	i	i	PROPN
spir-10182	16	35	d	d	PROPN
spir-10182	16	36	for	for	ADP
spir-10182	16	37	the	the	DET
spir-10182	16	38	replied	reply	VERB
spir-10182	16	39	-	-	PUNCT
spir-10182	16	40	to	to	ADP
spir-10182	16	41	tweet	tweet	NOUN
spir-10182	16	42	.	.	PUNCT
spir-10182	17	1	for	for	ADP
spir-10182	17	2	the	the	DET
spir-10182	17	3	purpose	purpose	NOUN
spir-10182	17	4	of	of	ADP
spir-10182	17	5	this	this	DET
spir-10182	17	6	paper	paper	NOUN
spir-10182	17	7	,	,	PUNCT
spir-10182	17	8	we	we	PRON
spir-10182	17	9	limited	limit	VERB
spir-10182	17	10	the	the	DET
spir-10182	17	11	timeframe	timeframe	NOUN
spir-10182	17	12	to	to	ADP
spir-10182	17	13	tweets	tweet	NOUN
spir-10182	17	14	posted	post	VERB
spir-10182	17	15	in	in	ADP
spir-10182	17	16	november	november	PROPN
spir-10182	17	17	2016	2016	NUM
spir-10182	17	18	.	.	PUNCT
spir-10182	18	1	the	the	DET
spir-10182	18	2	reply	reply	NOUN
spir-10182	18	3	chains	chain	NOUN
spir-10182	18	4	are	be	AUX
spir-10182	18	5	then	then	ADV
spir-10182	18	6	identified	identify	VERB
spir-10182	18	7	by	by	ADP
spir-10182	18	8	using	use	VERB
spir-10182	18	9	the	the	DET
spir-10182	18	10	‘	'	PUNCT
spir-10182	18	11	in_reply_to_status_id	in_reply_to_status_id	ADJ
spir-10182	18	12	’	'	PUNCT
spir-10182	18	13	field	field	NOUN
spir-10182	18	14	for	for	ADP
spir-10182	18	15	each	each	DET
spir-10182	18	16	tweet	tweet	NOUN
spir-10182	18	17	to	to	PART
spir-10182	18	18	retrieve	retrieve	VERB
spir-10182	18	19	the	the	DET
spir-10182	18	20	replied	reply	VERB
spir-10182	18	21	-	-	PUNCT
spir-10182	18	22	to	to	ADP
spir-10182	18	23	tweet	tweet	NOUN
spir-10182	18	24	,	,	PUNCT
spir-10182	18	25	if	if	SCONJ
spir-10182	18	26	it	it	PRON
spir-10182	18	27	is	be	AUX
spir-10182	18	28	already	already	ADV
spir-10182	18	29	in	in	ADP
spir-10182	18	30	the	the	DET
spir-10182	18	31	replies	reply	NOUN
spir-10182	18	32	dataset	dataset	VERB
spir-10182	18	33	as	as	SCONJ
spir-10182	18	34	shown	show	VERB
spir-10182	18	35	in	in	ADP
spir-10182	18	36	figure	figure	NOUN
spir-10182	18	37	1	1	NUM
spir-10182	18	38	.	.	PUNCT
spir-10182	19	1	each	each	DET
spir-10182	19	2	reply	reply	NOUN
spir-10182	19	3	chain	chain	NOUN
spir-10182	19	4	on	on	ADP
spir-10182	19	5	twitter	twitter	NOUN
spir-10182	19	6	has	have	VERB
spir-10182	19	7	an	an	DET
spir-10182	19	8	original	original	ADJ
spir-10182	19	9	tweet	tweet	NOUN
spir-10182	19	10	(	(	PUNCT
spir-10182	19	11	indicated	indicate	VERB
spir-10182	19	12	in	in	ADP
spir-10182	19	13	green	green	ADJ
spir-10182	19	14	in	in	ADP
spir-10182	19	15	figure	figure	NOUN
spir-10182	19	16	1	1	NUM
spir-10182	19	17	)	)	PUNCT
spir-10182	19	18	that	that	PRON
spir-10182	19	19	is	be	AUX
spir-10182	19	20	not	not	PART
spir-10182	19	21	a	a	DET
spir-10182	19	22	reply	reply	NOUN
spir-10182	19	23	,	,	PUNCT
spir-10182	19	24	i.e.	i.e.	X
spir-10182	19	25	it	it	PRON
spir-10182	19	26	does	do	AUX
spir-10182	19	27	not	not	PART
spir-10182	19	28	have	have	VERB
spir-10182	19	29	the	the	DET
spir-10182	19	30	‘	'	PUNCT
spir-10182	19	31	in_reply_to_status_id	in_reply_to_status_id	ADJ
spir-10182	19	32	’	'	PUNCT
spir-10182	19	33	field	field	NOUN
spir-10182	19	34	set	set	NOUN
spir-10182	19	35	.	.	PUNCT
spir-10182	20	1	figure	figure	NOUN
spir-10182	20	2	1	1	NUM
spir-10182	20	3	.	.	PUNCT
spir-10182	21	1	reply	reply	NOUN
spir-10182	21	2	chain	chain	NOUN
spir-10182	21	3	with	with	ADP
spir-10182	21	4	all	all	DET
spir-10182	21	5	tweets	tweet	NOUN
spir-10182	21	6	in	in	ADP
spir-10182	21	7	trisma	trisma	NOUN
spir-10182	21	8	dataset	dataset	NOUN
spir-10182	21	9	figure	figure	NOUN
spir-10182	21	10	2	2	NUM
spir-10182	21	11	.	.	PUNCT
spir-10182	22	1	all	all	DET
spir-10182	22	2	tweets	tweet	NOUN
spir-10182	22	3	in	in	ADP
spir-10182	22	4	trisma	trisma	NOUN
spir-10182	22	5	dataset	dataset	VERB
spir-10182	22	6	–	–	PUNCT
spir-10182	22	7	missing	miss	VERB
spir-10182	22	8	tweet	tweet	NOUN
spir-10182	22	9	figure	figure	NOUN
spir-10182	22	10	2	2	NUM
spir-10182	22	11	shows	show	VERB
spir-10182	22	12	the	the	DET
spir-10182	22	13	same	same	ADJ
spir-10182	22	14	reply	reply	NOUN
spir-10182	22	15	chain	chain	NOUN
spir-10182	22	16	,	,	PUNCT
spir-10182	22	17	but	but	CCONJ
spir-10182	22	18	with	with	ADP
spir-10182	22	19	one	one	NUM
spir-10182	22	20	tweet	tweet	NOUN
spir-10182	22	21	missing	miss	VERB
spir-10182	22	22	on	on	ADP
spir-10182	22	23	trisma	trisma	NOUN
spir-10182	22	24	(	(	PUNCT
spir-10182	22	25	shown	show	VERB
spir-10182	22	26	in	in	ADP
spir-10182	22	27	red	red	PROPN
spir-10182	22	28	)	)	PUNCT
spir-10182	22	29	.	.	PUNCT
spir-10182	23	1	the	the	DET
spir-10182	23	2	missing	miss	VERB
spir-10182	23	3	tweet	tweet	NOUN
spir-10182	23	4	means	mean	VERB
spir-10182	23	5	that	that	SCONJ
spir-10182	23	6	we	we	PRON
spir-10182	23	7	find	find	VERB
spir-10182	23	8	two	two	NUM
spir-10182	23	9	reply	reply	NOUN
spir-10182	23	10	chains	chain	NOUN
spir-10182	23	11	,	,	PUNCT
spir-10182	23	12	and	and	CCONJ
spir-10182	23	13	have	have	VERB
spir-10182	23	14	no	no	DET
spir-10182	23	15	way	way	NOUN
spir-10182	23	16	of	of	ADP
spir-10182	23	17	knowing	know	VERB
spir-10182	23	18	that	that	SCONJ
spir-10182	23	19	they	they	PRON
spir-10182	23	20	are	be	AUX
spir-10182	23	21	connected	connect	VERB
spir-10182	23	22	.	.	PUNCT
spir-10182	24	1	tweets	tweet	NOUN
spir-10182	24	2	which	which	PRON
spir-10182	24	3	are	be	AUX
spir-10182	24	4	replied	reply	VERB
spir-10182	24	5	to	to	ADP
spir-10182	24	6	and	and	CCONJ
spir-10182	24	7	tweets	tweet	NOUN
spir-10182	24	8	which	which	PRON
spir-10182	24	9	are	be	AUX
spir-10182	24	10	replies	reply	NOUN
spir-10182	24	11	that	that	PRON
spir-10182	24	12	are	be	AUX
spir-10182	24	13	outside	outside	ADP
spir-10182	24	14	of	of	ADP
spir-10182	24	15	the	the	DET
spir-10182	24	16	trisma	trisma	NOUN
spir-10182	24	17	dataset	dataset	NOUN
spir-10182	24	18	(	(	PUNCT
spir-10182	24	19	shown	show	VERB
spir-10182	24	20	in	in	ADP
spir-10182	24	21	figure	figure	NOUN
spir-10182	24	22	3	3	NUM
spir-10182	24	23	in	in	ADP
spir-10182	24	24	blue	blue	ADJ
spir-10182	24	25	and	and	CCONJ
spir-10182	24	26	purple	purple	NOUN
spir-10182	24	27	respectively	respectively	ADV
spir-10182	24	28	)	)	PUNCT
spir-10182	24	29	are	be	AUX
spir-10182	24	30	excluded	exclude	VERB
spir-10182	24	31	from	from	ADP
spir-10182	24	32	this	this	DET
spir-10182	24	33	study	study	NOUN
spir-10182	24	34	.	.	PUNCT
spir-10182	25	1	figure	figure	NOUN
spir-10182	25	2	3	3	NUM
spir-10182	25	3	.	.	PUNCT
spir-10182	25	4	tweets	tweet	NOUN
spir-10182	25	5	outside	outside	ADP
spir-10182	25	6	trisma	trisma	NOUN
spir-10182	25	7	dataset	dataset	ADJ
spir-10182	25	8	analysing	analyse	VERB
spir-10182	25	9	reply	reply	NOUN
spir-10182	25	10	chains	chain	NOUN
spir-10182	25	11	reply	reply	NOUN
spir-10182	25	12	chains	chain	NOUN
spir-10182	25	13	features	feature	VERB
spir-10182	25	14	such	such	ADJ
spir-10182	25	15	as	as	ADP
spir-10182	25	16	the	the	DET
spir-10182	25	17	number	number	NOUN
spir-10182	25	18	of	of	ADP
spir-10182	25	19	tweets	tweet	NOUN
spir-10182	25	20	in	in	ADP
spir-10182	25	21	the	the	DET
spir-10182	25	22	chain	chain	NOUN
spir-10182	25	23	,	,	PUNCT
spir-10182	25	24	duration	duration	NOUN
spir-10182	25	25	of	of	ADP
spir-10182	25	26	the	the	DET
spir-10182	25	27	conversation	conversation	NOUN
spir-10182	25	28	,	,	PUNCT
spir-10182	25	29	the	the	DET
spir-10182	25	30	interval	interval	NOUN
spir-10182	25	31	between	between	ADP
spir-10182	25	32	tweets	tweet	NOUN
spir-10182	25	33	,	,	PUNCT
spir-10182	25	34	branching	branch	VERB
spir-10182	25	35	structure	structure	NOUN
spir-10182	25	36	,	,	PUNCT
spir-10182	25	37	and	and	CCONJ
spir-10182	25	38	number	number	NOUN
spir-10182	25	39	of	of	ADP
spir-10182	25	40	participating	participate	VERB
spir-10182	25	41	accounts	account	NOUN
spir-10182	25	42	,	,	PUNCT
spir-10182	25	43	as	as	ADV
spir-10182	25	44	well	well	ADV
spir-10182	25	45	as	as	ADP
spir-10182	25	46	tweet	tweet	NOUN
spir-10182	25	47	content	content	NOUN
spir-10182	25	48	features	feature	VERB
spir-10182	25	49	such	such	ADJ
spir-10182	25	50	as	as	ADP
spir-10182	25	51	links	link	NOUN
spir-10182	25	52	,	,	PUNCT
spir-10182	25	53	topics	topic	NOUN
spir-10182	25	54	,	,	PUNCT
spir-10182	25	55	and	and	CCONJ
spir-10182	25	56	images	image	NOUN
spir-10182	25	57	are	be	AUX
spir-10182	25	58	examined	examine	VERB
spir-10182	25	59	to	to	PART
spir-10182	25	60	identify	identify	VERB
spir-10182	25	61	characteristics	characteristic	NOUN
spir-10182	25	62	which	which	PRON
spir-10182	25	63	can	can	AUX
spir-10182	25	64	be	be	AUX
spir-10182	25	65	used	use	VERB
spir-10182	25	66	to	to	PART
spir-10182	25	67	classify	classify	VERB
spir-10182	25	68	the	the	DET
spir-10182	25	69	reply	reply	NOUN
spir-10182	25	70	chains	chain	NOUN
spir-10182	25	71	.	.	PUNCT
spir-10182	26	1	initial	initial	ADJ
spir-10182	26	2	results	result	NOUN
spir-10182	26	3	in	in	ADP
spir-10182	26	4	november	november	PROPN
spir-10182	26	5	2016	2016	NUM
spir-10182	26	6	,	,	PUNCT
spir-10182	26	7	there	there	PRON
spir-10182	26	8	are	be	VERB
spir-10182	26	9	39.4	39.4	NUM
spir-10182	26	10	m	m	NOUN
spir-10182	26	11	tweets	tweet	NOUN
spir-10182	26	12	in	in	ADP
spir-10182	26	13	the	the	DET
spir-10182	26	14	trisma	trisma	NOUN
spir-10182	26	15	dataset	dataset	NOUN
spir-10182	26	16	,	,	PUNCT
spir-10182	26	17	of	of	ADP
spir-10182	26	18	which	which	PRON
spir-10182	26	19	7.1	7.1	NUM
spir-10182	26	20	m	m	NOUN
spir-10182	26	21	(	(	PUNCT
spir-10182	26	22	18	18	NUM
spir-10182	26	23	%	%	NOUN
spir-10182	26	24	)	)	PUNCT
spir-10182	26	25	are	be	AUX
spir-10182	26	26	replies	reply	NOUN
spir-10182	26	27	with	with	ADP
spir-10182	26	28	their	their	PRON
spir-10182	26	29	‘	'	PUNCT
spir-10182	26	30	in_reply_to_status_id	in_reply_to_status_id	PROPN
spir-10182	26	31	’	'	PUNCT
spir-10182	26	32	set	set	NOUN
spir-10182	26	33	.	.	PUNCT
spir-10182	27	1	6.2	6.2	NUM
spir-10182	27	2	m	m	NUM
spir-10182	27	3	unique	unique	ADJ
spir-10182	27	4	tweet	tweet	NOUN
spir-10182	27	5	ids	id	NOUN
spir-10182	27	6	are	be	AUX
spir-10182	27	7	listed	list	VERB
spir-10182	27	8	in	in	ADP
spir-10182	27	9	‘	'	PUNCT
spir-10182	27	10	in_reply_to_status_id	in_reply_to_status_id	PROPN
spir-10182	27	11	’	'	PUNCT
spir-10182	27	12	fields	field	NOUN
spir-10182	27	13	during	during	ADP
spir-10182	27	14	this	this	DET
spir-10182	27	15	time	time	NOUN
spir-10182	27	16	.	.	PUNCT
spir-10182	28	1	of	of	ADP
spir-10182	28	2	these	these	PRON
spir-10182	28	3	,	,	PUNCT
spir-10182	28	4	1.2	1.2	NUM
spir-10182	28	5	m	m	NOUN
spir-10182	28	6	(	(	PUNCT
spir-10182	28	7	20	20	NUM
spir-10182	28	8	%	%	NOUN
spir-10182	28	9	)	)	PUNCT
spir-10182	28	10	are	be	AUX
spir-10182	28	11	included	include	VERB
spir-10182	28	12	in	in	ADP
spir-10182	28	13	the	the	DET
spir-10182	28	14	november	november	PROPN
spir-10182	28	15	2016	2016	NUM
spir-10182	28	16	‘	'	PUNCT
spir-10182	28	17	in_reply_to_status_id	in_reply_to_status_id	PROPN
spir-10182	28	18	’	'	PUNCT
spir-10182	28	19	dataset	dataset	NOUN
spir-10182	28	20	,	,	PUNCT
spir-10182	28	21	and	and	CCONJ
spir-10182	28	22	0.9	0.9	NUM
spir-10182	28	23	m	m	NOUN
spir-10182	28	24	(	(	PUNCT
spir-10182	28	25	15	15	NUM
spir-10182	28	26	%	%	NOUN
spir-10182	28	27	)	)	PUNCT
spir-10182	28	28	are	be	AUX
spir-10182	28	29	original	original	ADJ
spir-10182	28	30	australian	australian	ADJ
spir-10182	28	31	tweets	tweet	NOUN
spir-10182	28	32	posted	post	VERB
spir-10182	28	33	during	during	ADP
spir-10182	28	34	november	november	PROPN
spir-10182	28	35	2016	2016	NUM
spir-10182	28	36	.	.	PUNCT
spir-10182	29	1	an	an	DET
spir-10182	29	2	additional	additional	ADJ
spir-10182	29	3	21,500	21,500	NUM
spir-10182	29	4	(	(	PUNCT
spir-10182	29	5	0.4	0.4	NUM
spir-10182	29	6	%	%	NOUN
spir-10182	29	7	)	)	PUNCT
spir-10182	29	8	replied	reply	VERB
spir-10182	29	9	-	-	PUNCT
spir-10182	29	10	to	to	ADP
spir-10182	29	11	tweets	tweet	NOUN
spir-10182	29	12	were	be	AUX
spir-10182	29	13	found	find	VERB
spir-10182	29	14	in	in	ADP
spir-10182	29	15	the	the	DET
spir-10182	29	16	trisma	trisma	NOUN
spir-10182	29	17	dataset	dataset	NOUN
spir-10182	29	18	but	but	CCONJ
spir-10182	29	19	were	be	AUX
spir-10182	29	20	posted	post	VERB
spir-10182	29	21	before	before	ADP
spir-10182	29	22	november	november	PROPN
spir-10182	29	23	2016	2016	NUM
spir-10182	29	24	;	;	PUNCT
spir-10182	29	25	these	these	PRON
spir-10182	29	26	were	be	AUX
spir-10182	29	27	added	add	VERB
spir-10182	29	28	to	to	ADP
spir-10182	29	29	the	the	DET
spir-10182	29	30	overall	overall	ADJ
spir-10182	29	31	dataset	dataset	NOUN
spir-10182	29	32	.	.	PUNCT
spir-10182	30	1	4.1	4.1	NUM
spir-10182	30	2	m	m	NOUN
spir-10182	30	3	(	(	PUNCT
spir-10182	30	4	65	65	NUM
spir-10182	30	5	%	%	NOUN
spir-10182	30	6	)	)	PUNCT
spir-10182	30	7	of	of	ADP
spir-10182	30	8	the	the	DET
spir-10182	30	9	tweets	tweet	NOUN
spir-10182	30	10	that	that	SCONJ
spir-10182	30	11	australian	australian	ADJ
spir-10182	30	12	accounts	account	NOUN
spir-10182	30	13	replied	reply	VERB
spir-10182	30	14	to	to	ADP
spir-10182	30	15	during	during	ADP
spir-10182	30	16	november	november	PROPN
spir-10182	30	17	2016	2016	NUM
spir-10182	30	18	originated	originate	VERB
spir-10182	30	19	from	from	ADP
spir-10182	30	20	outside	outside	ADP
spir-10182	30	21	the	the	DET
spir-10182	30	22	trisma	trisma	NOUN
spir-10182	30	23	dataset	dataset	NOUN
spir-10182	30	24	,	,	PUNCT
spir-10182	30	25	indicating	indicate	VERB
spir-10182	30	26	that	that	SCONJ
spir-10182	30	27	substantial	substantial	ADJ
spir-10182	30	28	amount	amount	NOUN
spir-10182	30	29	of	of	ADP
spir-10182	30	30	the	the	DET
spir-10182	30	31	conversation	conversation	NOUN
spir-10182	30	32	in	in	ADP
spir-10182	30	33	the	the	DET
spir-10182	30	34	australian	australian	ADJ
spir-10182	30	35	twittersphere	twittersphere	NOUN
spir-10182	30	36	also	also	ADV
spir-10182	30	37	includes	include	VERB
spir-10182	30	38	participation	participation	NOUN
spir-10182	30	39	by	by	ADP
spir-10182	30	40	non	non	ADJ
spir-10182	30	41	-	-	ADJ
spir-10182	30	42	australian	australian	ADJ
spir-10182	30	43	accounts	account	NOUN
spir-10182	30	44	.	.	PUNCT
spir-10182	31	1	i	i	PRON
spir-10182	31	2	will	will	AUX
spir-10182	31	3	present	present	VERB
spir-10182	31	4	an	an	DET
spir-10182	31	5	analysis	analysis	NOUN
spir-10182	31	6	of	of	ADP
spir-10182	31	7	these	these	DET
spir-10182	31	8	different	different	ADJ
spir-10182	31	9	metrics	metric	NOUN
spir-10182	31	10	for	for	ADP
spir-10182	31	11	reply	reply	NOUN
spir-10182	31	12	chains	chain	NOUN
spir-10182	31	13	in	in	ADP
spir-10182	31	14	the	the	DET
spir-10182	31	15	australian	australian	ADJ
spir-10182	31	16	twittersphere	twittersphere	NOUN
spir-10182	31	17	and	and	CCONJ
spir-10182	31	18	evaluate	evaluate	VERB
spir-10182	31	19	their	their	PRON
spir-10182	31	20	utility	utility	NOUN
spir-10182	31	21	in	in	ADP
spir-10182	31	22	categorising	categorise	VERB
spir-10182	31	23	their	their	PRON
spir-10182	31	24	different	different	ADJ
spir-10182	31	25	conversational	conversational	ADJ
spir-10182	31	26	patterns	pattern	NOUN
spir-10182	31	27	.	.	PUNCT
spir-10182	32	1	this	this	PRON
spir-10182	32	2	may	may	AUX
spir-10182	32	3	make	make	VERB
spir-10182	32	4	it	it	PRON
spir-10182	32	5	possible	possible	ADJ
spir-10182	32	6	to	to	PART
spir-10182	32	7	computationally	computationally	ADV
spir-10182	32	8	distinguish	distinguish	VERB
spir-10182	32	9	single	single	ADJ
spir-10182	32	10	-	-	PUNCT
spir-10182	32	11	authored	author	VERB
spir-10182	32	12	threads	thread	NOUN
spir-10182	32	13	,	,	PUNCT
spir-10182	32	14	rapid	rapid	ADJ
spir-10182	32	15	and	and	CCONJ
spir-10182	32	16	heated	heated	ADJ
spir-10182	32	17	arguments	argument	NOUN
spir-10182	32	18	,	,	PUNCT
spir-10182	32	19	extended	extended	ADJ
spir-10182	32	20	chats	chat	NOUN
spir-10182	32	21	,	,	PUNCT
spir-10182	32	22	multi	multi	ADJ
spir-10182	32	23	-	-	NOUN
spir-10182	32	24	user	user	NOUN
spir-10182	32	25	responses	response	NOUN
spir-10182	32	26	to	to	ADP
spir-10182	32	27	a	a	DET
spir-10182	32	28	single	single	ADJ
spir-10182	32	29	controversial	controversial	ADJ
spir-10182	32	30	tweet	tweet	NOUN
spir-10182	32	31	,	,	PUNCT
spir-10182	32	32	and	and	CCONJ
spir-10182	32	33	other	other	ADJ
spir-10182	32	34	types	type	NOUN
spir-10182	32	35	of	of	ADP
spir-10182	32	36	conversation	conversation	NOUN
spir-10182	32	37	.	.	PUNCT
spir-10182	33	1	this	this	PRON
spir-10182	33	2	has	have	VERB
spir-10182	33	3	important	important	ADJ
spir-10182	33	4	applications	application	NOUN
spir-10182	33	5	in	in	ADP
spir-10182	33	6	large	large	ADJ
spir-10182	33	7	-	-	PUNCT
spir-10182	33	8	scale	scale	NOUN
spir-10182	33	9	,	,	PUNCT
spir-10182	33	10	automated	automate	VERB
spir-10182	33	11	social	social	ADJ
spir-10182	33	12	media	medium	NOUN
spir-10182	33	13	discourse	discourse	NOUN
spir-10182	33	14	analysis	analysis	NOUN
spir-10182	33	15	and	and	CCONJ
spir-10182	33	16	in	in	ADP
spir-10182	33	17	the	the	DET
spir-10182	33	18	computational	computational	ADJ
spir-10182	33	19	filtering	filtering	NOUN
spir-10182	33	20	of	of	ADP
spir-10182	33	21	‘	'	PUNCT
spir-10182	33	22	big	big	ADJ
spir-10182	33	23	social	social	ADJ
spir-10182	33	24	data	datum	NOUN
spir-10182	33	25	’	'	PUNCT
spir-10182	33	26	into	into	ADP
spir-10182	33	27	smaller	small	ADJ
spir-10182	33	28	samples	sample	NOUN
spir-10182	33	29	for	for	ADP
spir-10182	33	30	manual	manual	ADJ
spir-10182	33	31	analysis	analysis	NOUN
spir-10182	33	32	.	.	PUNCT
spir-10182	34	1	limitations	limitation	NOUN
spir-10182	34	2	the	the	DET
spir-10182	34	3	initial	initial	ADJ
spir-10182	34	4	results	result	NOUN
spir-10182	34	5	show	show	VERB
spir-10182	34	6	that	that	SCONJ
spir-10182	34	7	65	65	NUM
spir-10182	34	8	%	%	NOUN
spir-10182	34	9	of	of	ADP
spir-10182	34	10	the	the	DET
spir-10182	34	11	replied	reply	VERB
spir-10182	34	12	-	-	PUNCT
spir-10182	34	13	to	to	ADP
spir-10182	34	14	tweets	tweet	NOUN
spir-10182	34	15	are	be	AUX
spir-10182	34	16	not	not	PART
spir-10182	34	17	in	in	ADP
spir-10182	34	18	the	the	DET
spir-10182	34	19	trisma	trisma	NOUN
spir-10182	34	20	dataset	dataset	NOUN
spir-10182	34	21	(	(	PUNCT
spir-10182	34	22	shown	show	VERB
spir-10182	34	23	in	in	ADP
spir-10182	34	24	blue	blue	ADJ
spir-10182	34	25	in	in	ADP
spir-10182	34	26	figure	figure	NOUN
spir-10182	34	27	3	3	NUM
spir-10182	34	28	)	)	PUNCT
spir-10182	34	29	,	,	PUNCT
spir-10182	34	30	which	which	PRON
spir-10182	34	31	is	be	AUX
spir-10182	34	32	limited	limit	VERB
spir-10182	34	33	to	to	ADP
spir-10182	34	34	tweets	tweet	NOUN
spir-10182	34	35	from	from	ADP
spir-10182	34	36	australian	australian	ADJ
spir-10182	34	37	accounts	account	NOUN
spir-10182	34	38	.	.	PUNCT
spir-10182	35	1	retrieving	retrieve	VERB
spir-10182	35	2	these	these	DET
spir-10182	35	3	tweets	tweet	NOUN
spir-10182	35	4	from	from	ADP
spir-10182	35	5	the	the	DET
spir-10182	35	6	twitter	twitter	NOUN
spir-10182	35	7	api	api	NOUN
spir-10182	35	8	would	would	AUX
spir-10182	35	9	allow	allow	VERB
spir-10182	35	10	us	we	PRON
spir-10182	35	11	to	to	PART
spir-10182	35	12	check	check	VERB
spir-10182	35	13	which	which	PRON
spir-10182	35	14	were	be	AUX
spir-10182	35	15	original	original	ADJ
spir-10182	35	16	tweets	tweet	NOUN
spir-10182	35	17	and	and	CCONJ
spir-10182	35	18	which	which	PRON
spir-10182	35	19	were	be	AUX
spir-10182	35	20	replies	reply	NOUN
spir-10182	35	21	,	,	PUNCT
spir-10182	35	22	and	and	CCONJ
spir-10182	35	23	this	this	PRON
spir-10182	35	24	could	could	AUX
spir-10182	35	25	be	be	AUX
spir-10182	35	26	done	do	VERB
spir-10182	35	27	recursively	recursively	ADV
spir-10182	35	28	to	to	PART
spir-10182	35	29	find	find	VERB
spir-10182	35	30	the	the	DET
spir-10182	35	31	older	old	ADJ
spir-10182	35	32	tweets	tweet	NOUN
spir-10182	35	33	in	in	ADP
spir-10182	35	34	the	the	DET
spir-10182	35	35	reply	reply	NOUN
spir-10182	35	36	chain	chain	NOUN
spir-10182	35	37	.	.	PUNCT
spir-10182	36	1	external	external	ADJ
spir-10182	36	2	tweets	tweet	NOUN
spir-10182	36	3	that	that	PRON
spir-10182	36	4	are	be	AUX
spir-10182	36	5	replies	reply	NOUN
spir-10182	36	6	(	(	PUNCT
spir-10182	36	7	shown	show	VERB
spir-10182	36	8	in	in	ADP
spir-10182	36	9	purple	purple	NOUN
spir-10182	36	10	in	in	ADP
spir-10182	36	11	figure	figure	NOUN
spir-10182	36	12	3	3	NUM
spir-10182	36	13	)	)	PUNCT
spir-10182	36	14	to	to	ADP
spir-10182	36	15	the	the	DET
spir-10182	36	16	tweets	tweet	NOUN
spir-10182	36	17	in	in	ADP
spir-10182	36	18	the	the	DET
spir-10182	36	19	reply	reply	NOUN
spir-10182	36	20	chain	chain	NOUN
spir-10182	36	21	can	can	AUX
spir-10182	36	22	only	only	ADV
spir-10182	36	23	be	be	AUX
spir-10182	36	24	detected	detect	VERB
spir-10182	36	25	manually	manually	ADV
spir-10182	36	26	through	through	ADP
spir-10182	36	27	the	the	DET
spir-10182	36	28	twitter	twitter	NOUN
spir-10182	36	29	client	client	NOUN
spir-10182	36	30	interface	interface	NOUN
spir-10182	36	31	,	,	PUNCT
spir-10182	36	32	not	not	PART
spir-10182	36	33	in	in	ADP
spir-10182	36	34	the	the	DET
spir-10182	36	35	trisma	trisma	NOUN
spir-10182	36	36	dataset	dataset	NOUN
spir-10182	36	37	or	or	CCONJ
spir-10182	36	38	using	use	VERB
spir-10182	36	39	the	the	DET
spir-10182	36	40	twitter	twitter	NOUN
spir-10182	36	41	api	api	NOUN
spir-10182	36	42	.	.	PUNCT
spir-10182	37	1	this	this	DET
spir-10182	37	2	study	study	NOUN
spir-10182	37	3	focusses	focusse	VERB
spir-10182	37	4	on	on	ADP
spir-10182	37	5	the	the	DET
spir-10182	37	6	australian	australian	ADJ
spir-10182	37	7	twittersphere	twittersphere	NOUN
spir-10182	37	8	so	so	SCONJ
spir-10182	37	9	we	we	PRON
spir-10182	37	10	exclude	exclude	VERB
spir-10182	37	11	these	these	DET
spir-10182	37	12	external	external	ADJ
spir-10182	37	13	tweets	tweet	NOUN
spir-10182	37	14	,	,	PUNCT
spir-10182	37	15	even	even	ADV
spir-10182	37	16	though	though	SCONJ
spir-10182	37	17	that	that	PRON
spir-10182	37	18	may	may	AUX
spir-10182	37	19	reduce	reduce	VERB
spir-10182	37	20	the	the	DET
spir-10182	37	21	lengths	length	NOUN
spir-10182	37	22	of	of	ADP
spir-10182	37	23	some	some	PRON
spir-10182	37	24	of	of	ADP
spir-10182	37	25	the	the	DET
spir-10182	37	26	reply	reply	NOUN
spir-10182	37	27	chains	chain	NOUN
spir-10182	37	28	.	.	PUNCT
spir-10182	38	1	because	because	SCONJ
spir-10182	38	2	this	this	DET
spir-10182	38	3	study	study	NOUN
spir-10182	38	4	uses	use	VERB
spir-10182	38	5	reply	reply	NOUN
spir-10182	38	6	chains	chain	NOUN
spir-10182	38	7	,	,	PUNCT
spir-10182	38	8	it	it	PRON
spir-10182	38	9	does	do	AUX
spir-10182	38	10	not	not	PART
spir-10182	38	11	consider	consider	VERB
spir-10182	38	12	other	other	ADJ
spir-10182	38	13	forms	form	NOUN
spir-10182	38	14	of	of	ADP
spir-10182	38	15	conversation	conversation	NOUN
spir-10182	38	16	on	on	ADP
spir-10182	38	17	twitter	twitter	NOUN
spir-10182	38	18	–	–	PUNCT
spir-10182	38	19	such	such	ADJ
spir-10182	38	20	as	as	ADP
spir-10182	38	21	manual	manual	ADJ
spir-10182	38	22	replies	reply	NOUN
spir-10182	38	23	,	,	PUNCT
spir-10182	38	24	mentions	mention	NOUN
spir-10182	38	25	,	,	PUNCT
spir-10182	38	26	retweets	retweet	NOUN
spir-10182	38	27	,	,	PUNCT
spir-10182	38	28	and	and	CCONJ
spir-10182	38	29	quoted	quote	VERB
spir-10182	38	30	retweets	retweet	NOUN
spir-10182	38	31	.	.	PUNCT
spir-10182	39	1	it	it	PRON
spir-10182	39	2	would	would	AUX
spir-10182	39	3	be	be	AUX
spir-10182	39	4	possible	possible	ADJ
spir-10182	39	5	to	to	PART
spir-10182	39	6	extend	extend	VERB
spir-10182	39	7	this	this	DET
spir-10182	39	8	study	study	NOUN
spir-10182	39	9	to	to	ADP
spir-10182	39	10	quoted	quote	VERB
spir-10182	39	11	retweets	retweet	NOUN
spir-10182	39	12	and	and	CCONJ
spir-10182	39	13	button	button	NOUN
spir-10182	39	14	retweets	retweet	NOUN
spir-10182	39	15	as	as	ADP
spir-10182	39	16	these	these	DET
spir-10182	39	17	generate	generate	VERB
spir-10182	39	18	metadata	metadata	NOUN
spir-10182	39	19	in	in	ADP
spir-10182	39	20	fields	field	NOUN
spir-10182	39	21	similar	similar	ADJ
spir-10182	39	22	to	to	ADP
spir-10182	39	23	the	the	DET
spir-10182	39	24	‘	'	PUNCT
spir-10182	39	25	in_repy_to_status_id	in_repy_to_status_id	PROPN
spir-10182	39	26	’	'	PUNCT
spir-10182	39	27	field	field	NOUN
spir-10182	39	28	(	(	PUNCT
spir-10182	39	29	including	include	VERB
spir-10182	39	30	‘	'	PUNCT
spir-10182	39	31	quoted_status_id	quoted_status_id	NOUN
spir-10182	39	32	’	'	PUNCT
spir-10182	39	33	and	and	CCONJ
spir-10182	39	34	‘	'	PUNCT
spir-10182	39	35	retweeted_status	retweeted_statu	NOUN
spir-10182	39	36	’	'	PUNCT
spir-10182	39	37	,	,	PUNCT
spir-10182	39	38	the	the	DET
spir-10182	39	39	latter	latter	NOUN
spir-10182	39	40	of	of	ADP
spir-10182	39	41	which	which	PRON
spir-10182	39	42	contains	contain	VERB
spir-10182	39	43	the	the	DET
spir-10182	39	44	full	full	ADJ
spir-10182	39	45	retweeted	retweeted	ADJ
spir-10182	39	46	tweet	tweet	NOUN
spir-10182	39	47	)	)	PUNCT
spir-10182	39	48	,	,	PUNCT
spir-10182	39	49	and	and	CCONJ
spir-10182	39	50	this	this	PRON
spir-10182	39	51	is	be	AUX
spir-10182	39	52	an	an	DET
spir-10182	39	53	area	area	NOUN
spir-10182	39	54	for	for	ADP
spir-10182	39	55	further	further	ADJ
spir-10182	39	56	work	work	NOUN
spir-10182	39	57	.	.	PUNCT
spir-10182	40	1	acknowledgments	acknowledgment	NOUN
spir-10182	40	2	this	this	DET
spir-10182	40	3	research	research	NOUN
spir-10182	40	4	was	be	AUX
spir-10182	40	5	supported	support	VERB
spir-10182	40	6	by	by	ADP
spir-10182	40	7	infrastructure	infrastructure	NOUN
spir-10182	40	8	provided	provide	VERB
spir-10182	40	9	through	through	ADP
spir-10182	40	10	the	the	DET
spir-10182	40	11	australian	australian	ADJ
spir-10182	40	12	research	research	NOUN
spir-10182	40	13	council	council	NOUN
spir-10182	40	14	lief	lief	NOUN
spir-10182	40	15	project	project	NOUN
spir-10182	40	16	tracking	tracking	NOUN
spir-10182	40	17	infrastructure	infrastructure	NOUN
spir-10182	40	18	for	for	ADP
spir-10182	40	19	social	social	ADJ
spir-10182	40	20	media	medium	NOUN
spir-10182	40	21	analysis	analysis	NOUN
spir-10182	40	22	,	,	PUNCT
spir-10182	40	23	and	and	CCONJ
spir-10182	40	24	the	the	DET
spir-10182	40	25	arc	arc	NOUN
spir-10182	40	26	future	future	ADJ
spir-10182	40	27	fellowship	fellowship	NOUN
spir-10182	40	28	grant	grant	VERB
spir-10182	40	29	understanding	understand	VERB
spir-10182	40	30	intermedia	intermedia	PROPN
spir-10182	40	31	information	information	NOUN
spir-10182	40	32	flows	flow	VERB
spir-10182	40	33	in	in	ADP
spir-10182	40	34	the	the	DET
spir-10182	40	35	australian	australian	ADJ
spir-10182	40	36	online	online	ADJ
spir-10182	40	37	public	public	ADJ
spir-10182	40	38	sphere	sphere	NOUN
spir-10182	40	39	.	.	PUNCT
spir-10182	41	1	references	reference	NOUN
spir-10182	41	2	bruns	brun	NOUN
spir-10182	41	3	,	,	PUNCT
spir-10182	41	4	a.	a.	NOUN
spir-10182	41	5	(	(	PUNCT
spir-10182	41	6	2012	2012	NUM
spir-10182	41	7	)	)	PUNCT
spir-10182	41	8	.	.	PUNCT
spir-10182	42	1	how	how	SCONJ
spir-10182	42	2	long	long	ADV
spir-10182	42	3	is	be	AUX
spir-10182	42	4	a	a	DET
spir-10182	42	5	tweet	tweet	NOUN
spir-10182	42	6	?	?	PUNCT
spir-10182	43	1	mapping	map	VERB
spir-10182	43	2	dynamic	dynamic	ADJ
spir-10182	43	3	conversation	conversation	NOUN
spir-10182	43	4	networks	network	NOUN
spir-10182	43	5	on	on	ADP
spir-10182	43	6	twitter	twitter	NOUN
spir-10182	43	7	using	use	VERB
spir-10182	43	8	gawk	gawk	NOUN
spir-10182	43	9	and	and	CCONJ
spir-10182	43	10	gephi	gephi	ADJ
spir-10182	43	11	.	.	PUNCT
spir-10182	44	1	information	information	NOUN
spir-10182	44	2	,	,	PUNCT
spir-10182	44	3	communication	communication	NOUN
spir-10182	44	4	&	&	CCONJ
spir-10182	44	5	society	society	NOUN
spir-10182	44	6	,	,	PUNCT
spir-10182	44	7	15(9	15(9	NUM
spir-10182	44	8	)	)	PUNCT
spir-10182	44	9	,	,	PUNCT
spir-10182	44	10	1323–1351	1323–1351	NOUN
spir-10182	44	11	.	.	PUNCT
spir-10182	45	1	http://doi.org/10.1080/1369118x.2011.635214	http://doi.org/10.1080/1369118x.2011.635214	PROPN
spir-10182	45	2	bruns	brun	NOUN
spir-10182	45	3	,	,	PUNCT
spir-10182	45	4	a.	a.	NOUN
spir-10182	45	5	,	,	PUNCT
spir-10182	45	6	and	and	CCONJ
spir-10182	45	7	burgess	burgess	PROPN
spir-10182	45	8	,	,	PUNCT
spir-10182	45	9	j.	j.	PROPN
spir-10182	45	10	2015	2015	NUM
spir-10182	45	11	.	.	PUNCT
spir-10182	46	1	twitter	twitter	NOUN
spir-10182	46	2	hashtags	hashtag	NOUN
spir-10182	46	3	from	from	ADP
spir-10182	46	4	ad	ad	X
spir-10182	46	5	hoc	hoc	X
spir-10182	46	6	to	to	ADP
spir-10182	46	7	calculated	calculated	ADJ
spir-10182	46	8	publics	public	NOUN
spir-10182	46	9	.	.	PUNCT
spir-10182	47	1	in	in	ADP
spir-10182	47	2	hashtag	hashtag	NOUN
spir-10182	47	3	publics	public	NOUN
spir-10182	47	4	:	:	PUNCT
spir-10182	47	5	the	the	DET
spir-10182	47	6	power	power	NOUN
spir-10182	47	7	and	and	CCONJ
spir-10182	47	8	politics	politic	NOUN
spir-10182	47	9	of	of	ADP
spir-10182	47	10	discursive	discursive	ADJ
spir-10182	47	11	networks	network	NOUN
spir-10182	47	12	,	,	PUNCT
spir-10182	47	13	n.	n.	NOUN
spir-10182	47	14	rambukkana	rambukkana	PROPN
spir-10182	47	15	,	,	PUNCT
spir-10182	47	16	ed.new	ed.new	PROPN
spir-10182	47	17	york	york	PROPN
spir-10182	47	18	:	:	PUNCT
spir-10182	47	19	peter	peter	PROPN
spir-10182	47	20	lang	lang	PROPN
spir-10182	47	21	,	,	PUNCT
spir-10182	47	22	13	13	NUM
spir-10182	47	23	-	-	SYM
spir-10182	47	24	28	28	NUM
spir-10182	47	25	bruns	brun	NOUN
spir-10182	47	26	,	,	PUNCT
spir-10182	47	27	a.	a.	NOUN
spir-10182	47	28	,	,	PUNCT
spir-10182	47	29	burgess	burgess	PROPN
spir-10182	47	30	,	,	PUNCT
spir-10182	47	31	j.	j.	PROPN
spir-10182	47	32	,	,	PUNCT
spir-10182	47	33	banks	bank	NOUN
spir-10182	47	34	,	,	PUNCT
spir-10182	47	35	j.	j.	PROPN
spir-10182	47	36	,	,	PUNCT
spir-10182	47	37	tjondronegoro	tjondronegoro	PROPN
spir-10182	47	38	,	,	PUNCT
spir-10182	47	39	d.	d.	PROPN
spir-10182	47	40	,	,	PUNCT
spir-10182	47	41	dreiling	dreiling	NOUN
spir-10182	47	42	,	,	PUNCT
spir-10182	47	43	a.	a.	NOUN
spir-10182	47	44	,	,	PUNCT
spir-10182	47	45	hartley	hartley	PROPN
spir-10182	47	46	,	,	PUNCT
spir-10182	47	47	j.	j.	PROPN
spir-10182	47	48	,	,	PUNCT
spir-10182	47	49	leaver	leaver	NOUN
spir-10182	47	50	,	,	PUNCT
spir-10182	47	51	t.	t.	PROPN
spir-10182	47	52	,	,	PUNCT
spir-10182	47	53	aly	aly	PROPN
spir-10182	47	54	,	,	PUNCT
spir-10182	47	55	a.	a.	PROPN
spir-10182	47	56	,	,	PUNCT
spir-10182	47	57	highfield	highfield	PROPN
spir-10182	47	58	,	,	PUNCT
spir-10182	47	59	t.	t.	PROPN
spir-10182	47	60	,	,	PUNCT
spir-10182	47	61	wilken	wilken	VERB
spir-10182	47	62	,	,	PUNCT
spir-10182	47	63	r.	r.	PROPN
spir-10182	47	64	,	,	PUNCT
spir-10182	47	65	rennie	rennie	PROPN
spir-10182	47	66	,	,	PUNCT
spir-10182	47	67	e.	e.	PROPN
spir-10182	47	68	,	,	PUNCT
spir-10182	47	69	lusher	lusher	PROPN
spir-10182	47	70	,	,	PUNCT
spir-10182	47	71	d.	d.	PROPN
spir-10182	47	72	,	,	PUNCT
spir-10182	47	73	allen	allen	PROPN
spir-10182	47	74	,	,	PUNCT
spir-10182	47	75	m.	m.	NOUN
spir-10182	47	76	,	,	PUNCT
spir-10182	47	77	marshall	marshall	PROPN
spir-10182	47	78	,	,	PUNCT
spir-10182	47	79	d.	d.	PROPN
spir-10182	47	80	,	,	PUNCT
spir-10182	47	81	demetrious	demetrious	ADJ
spir-10182	47	82	,	,	PUNCT
spir-10182	47	83	k.	k.	PROPN
spir-10182	47	84	,	,	PUNCT
spir-10182	47	85	and	and	CCONJ
spir-10182	47	86	sadkowsky	sadkowsky	ADJ
spir-10182	47	87	,	,	PUNCT
spir-10182	47	88	t.	t.	PROPN
spir-10182	47	89	(	(	PUNCT
spir-10182	47	90	2016	2016	NUM
spir-10182	47	91	)	)	PUNCT
spir-10182	47	92	.	.	PUNCT
spir-10182	48	1	trisma	trisma	PROPN
spir-10182	48	2	:	:	PUNCT
spir-10182	48	3	tracking	track	VERB
spir-10182	48	4	infrastructure	infrastructure	NOUN
spir-10182	48	5	for	for	ADP
spir-10182	48	6	social	social	ADJ
spir-10182	48	7	media	medium	NOUN
spir-10182	48	8	analysis	analysis	NOUN
spir-10182	48	9	.	.	PUNCT
spir-10182	49	1	retrieved	retrieve	VERB
spir-10182	49	2	from	from	ADP
spir-10182	49	3	http://trisma.org/	http://trisma.org/	PROPN
spir-10182	49	4	moon	moon	PROPN
spir-10182	49	5	,	,	PUNCT
spir-10182	49	6	b.	b.	PROPN
spir-10182	49	7	,	,	PUNCT
spir-10182	49	8	suzor	suzor	PROPN
spir-10182	49	9	,	,	PUNCT
spir-10182	49	10	n.	n.	NOUN
spir-10182	49	11	,	,	PUNCT
spir-10182	49	12	matamoros	matamoros	PROPN
spir-10182	49	13	-	-	PUNCT
spir-10182	49	14	fernandez	fernandez	PROPN
spir-10182	49	15	,	,	PUNCT
spir-10182	49	16	a.	a.	NOUN
spir-10182	49	17	(	(	PUNCT
spir-10182	49	18	2016	2016	NUM
spir-10182	49	19	,	,	PUNCT
spir-10182	49	20	october	october	PROPN
spir-10182	49	21	5	5	NUM
spir-10182	49	22	-	-	SYM
spir-10182	49	23	8)	8)	NUM
spir-10182	49	24	.	.	PUNCT
spir-10182	50	1	beyond	beyond	ADP
spir-10182	50	2	hashtags	hashtag	NOUN
spir-10182	50	3	:	:	PUNCT
spir-10182	50	4	collecting	collect	VERB
spir-10182	50	5	and	and	CCONJ
spir-10182	50	6	analysing	analyse	VERB
spir-10182	50	7	conversations	conversation	NOUN
spir-10182	50	8	on	on	ADP
spir-10182	50	9	twitter	twitter	NOUN
spir-10182	50	10	.	.	PUNCT
spir-10182	51	1	paper	paper	NOUN
spir-10182	51	2	presented	present	VERB
spir-10182	51	3	at	at	ADP
spir-10182	51	4	aoir	aoir	NOUN
spir-10182	51	5	2016	2016	NUM
spir-10182	51	6	:	:	PUNCT
spir-10182	51	7	the	the	DET
spir-10182	51	8	17th	17th	ADJ
spir-10182	51	9	annual	annual	ADJ
spir-10182	51	10	meeting	meeting	NOUN
spir-10182	51	11	of	of	ADP
spir-10182	51	12	the	the	DET
spir-10182	51	13	association	association	NOUN
spir-10182	51	14	of	of	ADP
spir-10182	51	15	internet	internet	NOUN
spir-10182	51	16	researchers	researcher	NOUN
spir-10182	51	17	.	.	PUNCT
spir-10182	52	1	berlin	berlin	PROPN
spir-10182	52	2	,	,	PUNCT
spir-10182	52	3	germany	germany	PROPN
spir-10182	52	4	:	:	PUNCT
spir-10182	52	5	aoir	aoir	NOUN
spir-10182	52	6	.	.	PUNCT
spir-10182	52	7	retrieved	retrieve	VERB
spir-10182	52	8	from	from	ADP
spir-10182	52	9	http://spir.aoir.org	http://spir.aoir.org	PROPN
spir-10182	52	10	.	.	PUNCT
spir-10182	53	1	lorentzen	lorentzen	PROPN
spir-10182	53	2	,	,	PUNCT
spir-10182	53	3	d.	d.	PROPN
spir-10182	53	4	g.	g.	PROPN
spir-10182	53	5	,	,	PUNCT
spir-10182	53	6	&	&	CCONJ
spir-10182	53	7	nolin	nolin	PROPN
spir-10182	53	8	,	,	PUNCT
spir-10182	53	9	j.	j.	PROPN
spir-10182	53	10	(	(	PUNCT
spir-10182	53	11	2015	2015	NUM
spir-10182	53	12	)	)	PUNCT
spir-10182	53	13	.	.	PUNCT
spir-10182	54	1	approaching	approach	VERB
spir-10182	54	2	completeness	completeness	NOUN
spir-10182	54	3	:	:	PUNCT
spir-10182	54	4	capturing	capture	VERB
spir-10182	54	5	a	a	DET
spir-10182	54	6	hashtagged	hashtagged	ADJ
spir-10182	54	7	twitter	twitter	NOUN
spir-10182	54	8	conversation	conversation	NOUN
spir-10182	54	9	and	and	CCONJ
spir-10182	54	10	its	its	PRON
spir-10182	54	11	follow	follow	VERB
spir-10182	54	12	-	-	PUNCT
spir-10182	54	13	on	on	ADP
spir-10182	54	14	conversation	conversation	NOUN
spir-10182	54	15	.	.	PUNCT
spir-10182	55	1	social	social	ADJ
spir-10182	55	2	science	science	PROPN
spir-10182	55	3	computer	computer	NOUN
spir-10182	55	4	review	review	NOUN
spir-10182	55	5	.	.	PUNCT
spir-10182	56	1	http://doi.org/10.1177/0894439315607018	http://doi.org/10.1177/0894439315607018	NOUN
spir-10182	56	2	rambukkana	rambukkana	PROPN
spir-10182	56	3	,	,	PUNCT
spir-10182	56	4	n.	n.	NOUN
spir-10182	56	5	(	(	PUNCT
spir-10182	56	6	2015	2015	NUM
spir-10182	56	7	)	)	PUNCT
spir-10182	56	8	.	.	PUNCT
spir-10182	57	1	hashtag	hashtag	NOUN
spir-10182	57	2	publics	public	NOUN
spir-10182	57	3	:	:	PUNCT
spir-10182	57	4	the	the	DET
spir-10182	57	5	power	power	NOUN
spir-10182	57	6	and	and	CCONJ
spir-10182	57	7	politics	politic	NOUN
spir-10182	57	8	of	of	ADP
spir-10182	57	9	discursive	discursive	ADJ
spir-10182	57	10	networks	network	NOUN
spir-10182	57	11	.	.	PUNCT
spir-10182	58	1	peter	peter	PROPN
spir-10182	58	2	lang	lang	PROPN
spir-10182	58	3	publishing	publishing	PROPN
spir-10182	58	4	,	,	PUNCT
spir-10182	58	5	incorporated	incorporate	VERB
spir-10182	58	6	.	.	PUNCT