TY - GEN
T1 - Supporting comment moderators in identifying high quality online news comments
AU - Park, Deokgun
AU - Sachar, Simranjit
AU - Diakopoulos, Nicholas
AU - Elmqvist, Niklas
PY - 2016/5/7
Y1 - 2016/5/7
N2 - Online comments submitted by readers of news articles can provide valuable feedback and critique, personal views and perspectives, and opportunities for discussion. The varying quality of these comments necessitates that publishers remove the low quality ones, but there is also a growing awareness that by identifying and highlighting high quality contributions this can promote the general quality of the community. In this paper we take a user-centered design approach towards developing a system, CommentIQ, which supports comment moderators in interactively identifying high quality comments using a combination of comment analytic scores as well as visualizations and flexible UI components. We evaluated this system with professional comment moderators working at local and national news outlets and provide insights into the utility and appropriateness of features for journalistic tasks, as well as how the system may enable or transform journalistic practices around online comments.
AB - Online comments submitted by readers of news articles can provide valuable feedback and critique, personal views and perspectives, and opportunities for discussion. The varying quality of these comments necessitates that publishers remove the low quality ones, but there is also a growing awareness that by identifying and highlighting high quality contributions this can promote the general quality of the community. In this paper we take a user-centered design approach towards developing a system, CommentIQ, which supports comment moderators in interactively identifying high quality comments using a combination of comment analytic scores as well as visualizations and flexible UI components. We evaluated this system with professional comment moderators working at local and national news outlets and provide insights into the utility and appropriateness of features for journalistic tasks, as well as how the system may enable or transform journalistic practices around online comments.
KW - Asynchronous collaboration
KW - Computational journalism
KW - Online comments
UR - http://www.scopus.com/inward/record.url?scp=85015011876&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85015011876&partnerID=8YFLogxK
U2 - 10.1145/2858036.2858389
DO - 10.1145/2858036.2858389
M3 - Conference contribution
AN - SCOPUS:85015011876
T3 - Conference on Human Factors in Computing Systems - Proceedings
SP - 1114
EP - 1125
BT - CHI 2016 - Proceedings, 34th Annual CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
T2 - 34th Annual Conference on Human Factors in Computing Systems, CHI 2016
Y2 - 7 May 2016 through 12 May 2016
ER -