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► Loosen	et	al.	┃ Making	Sense	of	User	Comments	┃ ICA	San	Diego	┃ May	25,	2017
Making	Sense	of	User	Comments
Identifying	Journalists’	Requirements	for	a	Software	Framework	
Wiebke Loosen,	Marlo Häring,	Zijad Kurtanović,	Lisa	Merten,
Julius	Reimer,	Lies	van	Roessel &	Walid Maalej
► Loosen	et	al.	┃ Making	Sense	of	User	Comments	┃ ICA	San	Diego	┃ May	25,	2017
User	comments:	an	ambivalent	
phenomenon
2
Shift	in	the	understanding	of	user	comments:	from	deliberative	
hopes	to	being	a	“necessary	evil”,	or	even	a	threat	to	deliberation	
(e.g.,	Blom et	al.,	2014;	Kropczynski et	al.,	2015;	Pond,	2016)
► Loosen	et	al.	┃ Making	Sense	of	User	Comments	┃ ICA	San	Diego	┃ May	25,	2017
The	paradox	of	audience	participation
▶ Acknowledging	the	need	to	include	audiences	while	
trying	to	maintaining	professional	distance	from	
audiences	(e.g.,	Heise et	al.,	2014;	Schmidt	et	al.,	2013;	Singer	et	al.,	2011;	
WAN-IFRA	&	Huang,	2016)
▶ Many	journalists	engage	with	user	comments	
(e.g.,	Chen	&	Pain,	2016;	Graham	&	Wright,	2015;	Santana,	2011)
▶ Finding	good	user	comments	is	like	finding	a	needle	in	
a	haystack! (cf.	Braun	&	Gillespie,	2011)
▶ Handling	user	comments	takes	time,	effort,	and	a	
cross-platform	approach
3
► Loosen	et	al.	┃ Making	Sense	of	User	Comments	┃ ICA	San	Diego	┃ May	25,	2017
▶ Constructive	approach:	Help	journalists	(and	others)	
make	sense	of	user	comments	with	digital	tools
▶ Formulate	and	validate	requirements	for	a	software	
framework	for	analyzing	user	comments	by	means	
of	an	iterative	approach
1. Identify	features	and	develop	a	first	mock-up	
2. Discuss	mock-up	with	journalists	and	comment	
moderators	to	refine	requirements
Considerations	&	research	goals
4
► Loosen	et	al.	┃ Making	Sense	of	User	Comments	┃ ICA	San	Diego	┃ May	25,	2017
Method
► Loosen	et	al.	┃ Making	Sense	of	User	Comments	┃ ICA	San	Diego	┃ May	25,	2017 6
Research	design
Literature Review,
own preliminary
research
Explorative
Interviews
Mock-up
Development
Group Discussion
Editors
Group Discussion
Audience
Engagement Team
Mock-up &
Requirements
► Loosen	et	al.	┃ Making	Sense	of	User	Comments	┃ ICA	San	Diego	┃ May	25,	2017
Topics	for	group	discussions	
7
▶ Practices:	handling	user	comments	within	the	newsroom	
▶ Challenges:	pressing	issues	when	dealing	with	user	comments	
▶ Quality:	what	makes	comments	especially	valuable	or	helpful?
▶ Mock-up as	‘stimulus’	to	discuss	and	develop	possible	software	
features
► Loosen	et	al.	┃ Making	Sense	of	User	Comments	┃ ICA	San	Diego	┃ May	25,	2017
Results
► Loosen	et	al.	┃ Making	Sense	of	User	Comments	┃ ICA	San	Diego	┃ May	25,	2017
Group	Discussion:	General	insights
▶ Technical	assistance	in	‘making	sense	of	user	comments’	appreciated
▶ ‘Multichannel	function’	considered	extremely	useful	
▶ Help	is	needed	to	identify	‘response-worthy’	comments
▶ Classifying	pro- and	contra-arguments	particularly	useful
▶ Visualizing	dynamics	of	news	discussions	valuable	for	newsrooms	and	users
▶ Off-topic	and	redundant	comments	are	annoying	(particularly	for	moderators)
▶ Enabling	‘commenter	typologies’	was	welcomed,	but	also	met	with	data	protection	
concerns
▶ Editors	also	regard	user	comments	as	constructive	feedback	more	than	moderators
► Loosen	et	al.	┃ Making	Sense	of	User	Comments	┃ ICA	San	Diego	┃ May	25,	2017
Analytical	dimensions	derived	from	
literature	review	&	interviews	
10
▶ Topics and	actors
▶ Debate	
▶ Quality	indicators
▶ Comparison
▶ Sociodemographics
▶ Further	features
► Loosen	et	al.	┃ Making	Sense	of	User	Comments	┃ ICA	San	Diego	┃ May	25,	2017
Mock-up:	actors	&	topics
11
‘multichannel	function’	
regarded	extremely	
useful
► Loosen	et	al.	┃ Making	Sense	of	User	Comments	┃ ICA	San	Diego	┃ May	25,	2017
Mock-up:	debate
12
Classifying	pro- and	contra-
arguments	considered	
particularly	useful
Visualizing	the	dynamics	of	
news	discussions	regarded	
valuable		for	newsrooms	and	
users
► Loosen	et	al.	┃ Making	Sense	of	User	Comments	┃ ICA	San	Diego	┃ May	25,	2017
Mock-up:	quality	indicators
13
Off-topic	and	redundant	comments	are	
annoying	(particularly	for	moderators)
Editors	regard	user	comments	as	
constructive	feedback	and	would	like	
response-worthy	comments	to	be	
filtered
‘commenter	typologies’	welcomed,	but	
also	caused	data	protection	concerns
► Loosen	et	al.	┃ Making	Sense	of	User	Comments	┃ ICA	San	Diego	┃ May	25,	2017
Overview	
of	features
14
► Loosen	et	al.	┃ Making	Sense	of	User	Comments	┃ ICA	San	Diego	┃ May	25,	2017
Discussion
► Loosen	et	al.	┃ Making	Sense	of	User	Comments	┃ ICA	San	Diego	┃ May	25,	2017
Challenges	for	technical	implications
▶ Large	volumes	of	typically	natural,	informal,	and	low-quality	text	across	broad	
range	of	topics	
▶ Lexical	and	Syntactical	machine	learning	needed	to	capture	topics,	actors	&	
arguments
▶ Availability	of	high-quality	corpora	of	pre-labeled	text
A	lack	of	resources	rather	than	a	lack	of	ideas	impede	making	sense	of	user	
comments
► Loosen	et	al.	┃ Making	Sense	of	User	Comments	┃ ICA	San	Diego	┃ May	25,	2017 17
Thanks	for	listening!
https://scan.informatik.uni-hamburg.de/
Contact:	w.loosen@hans-bredow-institut.de
► Loosen	et	al.	┃ Making	Sense	of	User	Comments	┃ ICA	San	Diego	┃ May	25,	2017
References
▶ Blom,	R.,	Carpenter,	S.,	Bowe,	B.	J.,	&	Lange,	R.	(2014).	Frequent	contributors	within	U.S.	newspaper	comment	forums.	An	examination	of	their	civility	
and	information	value.	American	Behavioral	Scientist,	58(10),	1314–1328.
▶ Braun,	J.,	&	Gillespie,	T.	(2011).	Hosting	the	public	discourse,	hosting	the	public.	When	online	news	and	social	media	converge. Journalism	Practice,	
5(4),	383–398.
▶ Chen,	G.	M.,	&	Pain,	P.	(2016).	Normalizing	online	comments.	In:	Journalism	Practice.	doi:10.1080/17512786.2016.1205954.
▶ Cision,	&	Canterbury	Christ	Church	University.	(2015).	2015	global	social	journalism	study.	Retrieved	from	http://cision-wp-
files.s3.amazonaws.com/de/wp-content/uploads/2015/09/Cision-SJS-2014-15-International.pdf
▶ Graham,	T.,	&	Wright,	S.	(2015).	A	tale	of	two	stories	from	„below	the	line“.	Comment	fields	at	the	Guardian.	The	International	Journal	of	
Press/Politics,	20(3),	317–338.	
▶ Heise,	N.,	Loosen,	W.,	Reimer,	J.,	&	Schmidt,	J.-H.	(2014).	Including	the	audience.	Comparing	the	attitudes	and	expectations	of	journalists	and	users	
towards	participation	in	German	TV	news	journalism.	Journalism	Studies,	15(4),	411–430.
▶ Kropczynski,	J.,	Cai,	G.,	Carroll,	J.	M.,	Zhang,	J.,	Puron-Cid,	G.,	&	Gil-Garcia,	J.	R.	(2015).	Characterizing	democratic	deliberation	in	an	online	forum.	
Information	Polity:	The	International	Journal	of	Government	&	Democracy	in	the	Information	Age,	20(2/3),	151–165.
▶ Pond,	P.	(2016).	Twitter	time.	A	temporal	analysis	of	tweet	streams	during	televised	political	debate.	Television	&	New	Media,	17(2),	142–158.
▶ Rowe,	I.	(2015).	Deliberation	2.0:	comparing	the	deliberative	quality	of	online	news	user	comments	across	platforms.	Journal	of	Broadcasting	&	
Electronic	Media,	59(4),	539–555.
▶ Santana,	A.	(2011).	Online	readers’	comments	represent	new	opinion	pipeline.	Newspaper	Research	Journal,	32(3),	66–81.
▶ Schmidt,	J.-H.,	Loosen,	W.,	Heise,	N.,	&	Reimer,	J.	(2013).	Journalism	and	participatory	practices	– blurring	or	reinforcement	of	boundaries	between	
journalism	and	audiences?	Recherches	En	Communication,	(39),	91–109.
▶ World	Association	of	Newspapers	and	News	Publishers	(WAN-IFRA),	&	Huang,	C.	L.	(2016).	Do	comments	matter?	Global	online	commenting	study	
2016	(WPT/WEF	Trends	Report	No.	1).	Frankfurt/Main:	World	Association	of	Newspapers	and	News	Publishers	(WAN-IFRA).
18

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Loosen et al (2017): Making sense of user comments. Identifying journalists' requirements for a software framework. ICA 2017, San Diego. #SCAN

  • 1. ► Loosen et al. ┃ Making Sense of User Comments ┃ ICA San Diego ┃ May 25, 2017 Making Sense of User Comments Identifying Journalists’ Requirements for a Software Framework Wiebke Loosen, Marlo Häring, Zijad Kurtanović, Lisa Merten, Julius Reimer, Lies van Roessel & Walid Maalej
  • 2. ► Loosen et al. ┃ Making Sense of User Comments ┃ ICA San Diego ┃ May 25, 2017 User comments: an ambivalent phenomenon 2 Shift in the understanding of user comments: from deliberative hopes to being a “necessary evil”, or even a threat to deliberation (e.g., Blom et al., 2014; Kropczynski et al., 2015; Pond, 2016)
  • 3. ► Loosen et al. ┃ Making Sense of User Comments ┃ ICA San Diego ┃ May 25, 2017 The paradox of audience participation ▶ Acknowledging the need to include audiences while trying to maintaining professional distance from audiences (e.g., Heise et al., 2014; Schmidt et al., 2013; Singer et al., 2011; WAN-IFRA & Huang, 2016) ▶ Many journalists engage with user comments (e.g., Chen & Pain, 2016; Graham & Wright, 2015; Santana, 2011) ▶ Finding good user comments is like finding a needle in a haystack! (cf. Braun & Gillespie, 2011) ▶ Handling user comments takes time, effort, and a cross-platform approach 3
  • 4. ► Loosen et al. ┃ Making Sense of User Comments ┃ ICA San Diego ┃ May 25, 2017 ▶ Constructive approach: Help journalists (and others) make sense of user comments with digital tools ▶ Formulate and validate requirements for a software framework for analyzing user comments by means of an iterative approach 1. Identify features and develop a first mock-up 2. Discuss mock-up with journalists and comment moderators to refine requirements Considerations & research goals 4
  • 5. ► Loosen et al. ┃ Making Sense of User Comments ┃ ICA San Diego ┃ May 25, 2017 Method
  • 6. ► Loosen et al. ┃ Making Sense of User Comments ┃ ICA San Diego ┃ May 25, 2017 6 Research design Literature Review, own preliminary research Explorative Interviews Mock-up Development Group Discussion Editors Group Discussion Audience Engagement Team Mock-up & Requirements
  • 7. ► Loosen et al. ┃ Making Sense of User Comments ┃ ICA San Diego ┃ May 25, 2017 Topics for group discussions 7 ▶ Practices: handling user comments within the newsroom ▶ Challenges: pressing issues when dealing with user comments ▶ Quality: what makes comments especially valuable or helpful? ▶ Mock-up as ‘stimulus’ to discuss and develop possible software features
  • 8. ► Loosen et al. ┃ Making Sense of User Comments ┃ ICA San Diego ┃ May 25, 2017 Results
  • 9. ► Loosen et al. ┃ Making Sense of User Comments ┃ ICA San Diego ┃ May 25, 2017 Group Discussion: General insights ▶ Technical assistance in ‘making sense of user comments’ appreciated ▶ ‘Multichannel function’ considered extremely useful ▶ Help is needed to identify ‘response-worthy’ comments ▶ Classifying pro- and contra-arguments particularly useful ▶ Visualizing dynamics of news discussions valuable for newsrooms and users ▶ Off-topic and redundant comments are annoying (particularly for moderators) ▶ Enabling ‘commenter typologies’ was welcomed, but also met with data protection concerns ▶ Editors also regard user comments as constructive feedback more than moderators
  • 10. ► Loosen et al. ┃ Making Sense of User Comments ┃ ICA San Diego ┃ May 25, 2017 Analytical dimensions derived from literature review & interviews 10 ▶ Topics and actors ▶ Debate ▶ Quality indicators ▶ Comparison ▶ Sociodemographics ▶ Further features
  • 11. ► Loosen et al. ┃ Making Sense of User Comments ┃ ICA San Diego ┃ May 25, 2017 Mock-up: actors & topics 11 ‘multichannel function’ regarded extremely useful
  • 12. ► Loosen et al. ┃ Making Sense of User Comments ┃ ICA San Diego ┃ May 25, 2017 Mock-up: debate 12 Classifying pro- and contra- arguments considered particularly useful Visualizing the dynamics of news discussions regarded valuable for newsrooms and users
  • 13. ► Loosen et al. ┃ Making Sense of User Comments ┃ ICA San Diego ┃ May 25, 2017 Mock-up: quality indicators 13 Off-topic and redundant comments are annoying (particularly for moderators) Editors regard user comments as constructive feedback and would like response-worthy comments to be filtered ‘commenter typologies’ welcomed, but also caused data protection concerns
  • 14. ► Loosen et al. ┃ Making Sense of User Comments ┃ ICA San Diego ┃ May 25, 2017 Overview of features 14
  • 15. ► Loosen et al. ┃ Making Sense of User Comments ┃ ICA San Diego ┃ May 25, 2017 Discussion
  • 16. ► Loosen et al. ┃ Making Sense of User Comments ┃ ICA San Diego ┃ May 25, 2017 Challenges for technical implications ▶ Large volumes of typically natural, informal, and low-quality text across broad range of topics ▶ Lexical and Syntactical machine learning needed to capture topics, actors & arguments ▶ Availability of high-quality corpora of pre-labeled text A lack of resources rather than a lack of ideas impede making sense of user comments
  • 17. ► Loosen et al. ┃ Making Sense of User Comments ┃ ICA San Diego ┃ May 25, 2017 17 Thanks for listening! https://scan.informatik.uni-hamburg.de/ Contact: w.loosen@hans-bredow-institut.de
  • 18. ► Loosen et al. ┃ Making Sense of User Comments ┃ ICA San Diego ┃ May 25, 2017 References ▶ Blom, R., Carpenter, S., Bowe, B. J., & Lange, R. (2014). Frequent contributors within U.S. newspaper comment forums. An examination of their civility and information value. American Behavioral Scientist, 58(10), 1314–1328. ▶ Braun, J., & Gillespie, T. (2011). Hosting the public discourse, hosting the public. When online news and social media converge. Journalism Practice, 5(4), 383–398. ▶ Chen, G. M., & Pain, P. (2016). Normalizing online comments. In: Journalism Practice. doi:10.1080/17512786.2016.1205954. ▶ Cision, & Canterbury Christ Church University. (2015). 2015 global social journalism study. Retrieved from http://cision-wp- files.s3.amazonaws.com/de/wp-content/uploads/2015/09/Cision-SJS-2014-15-International.pdf ▶ Graham, T., & Wright, S. (2015). A tale of two stories from „below the line“. Comment fields at the Guardian. The International Journal of Press/Politics, 20(3), 317–338. ▶ Heise, N., Loosen, W., Reimer, J., & Schmidt, J.-H. (2014). Including the audience. Comparing the attitudes and expectations of journalists and users towards participation in German TV news journalism. Journalism Studies, 15(4), 411–430. ▶ Kropczynski, J., Cai, G., Carroll, J. M., Zhang, J., Puron-Cid, G., & Gil-Garcia, J. R. (2015). Characterizing democratic deliberation in an online forum. Information Polity: The International Journal of Government & Democracy in the Information Age, 20(2/3), 151–165. ▶ Pond, P. (2016). Twitter time. A temporal analysis of tweet streams during televised political debate. Television & New Media, 17(2), 142–158. ▶ Rowe, I. (2015). Deliberation 2.0: comparing the deliberative quality of online news user comments across platforms. Journal of Broadcasting & Electronic Media, 59(4), 539–555. ▶ Santana, A. (2011). Online readers’ comments represent new opinion pipeline. Newspaper Research Journal, 32(3), 66–81. ▶ Schmidt, J.-H., Loosen, W., Heise, N., & Reimer, J. (2013). Journalism and participatory practices – blurring or reinforcement of boundaries between journalism and audiences? Recherches En Communication, (39), 91–109. ▶ World Association of Newspapers and News Publishers (WAN-IFRA), & Huang, C. L. (2016). Do comments matter? Global online commenting study 2016 (WPT/WEF Trends Report No. 1). Frankfurt/Main: World Association of Newspapers and News Publishers (WAN-IFRA). 18