Commenting Systems for News – CommentIQ

During my stay at the Sacramento Bee in 2009 I began studying the commenting system that the online paper was using, called Pluck. I became interested in how the newsroom dealt with quality issues in the online comment discourse. This was an important issue to the newspaper as they perceived it as impacting their standing and credibility in their community.

In more recent years I’ve continued my research examining the quality of commentary around online news in the Knight Foundation Funded CommentIQ project. CommentIQ is about expanding the idea of “editor’s selections” to make it easier for community managers and moderators in a range of news organizations to quickly identify high quality comments that they can then highlight on their sites. We’re studying how comment quality can be quantified along various dimensions such as relevance, readability, and personal expression. Using these scores we can then build advanced visual analytic interfaces that help comment moderators find high quality commentary so that they can highlight it to their community or otherwise use it to enhance the journalism on the site.

See our papers:

S. Sachar, N. Diakopoulos. Changing Names in Online News Comments at the New York Times. Proc. International Conference on Web and Social Media (ICWSM). May, 2016. [PDF]

D. Park, S. Sachar, N. Diakopoulos, and N. Elmqvist. Supporting Comment Moderators in Identifying High Quality Online News Comments. Proc. Conference on Human Factors in Computing Systems (CHI). May, 2016. [PDF] (Best Paper Honorable Mention)

N. Diakopoulos. Picking the NYT Picks: Editorial Criteria and Automation in the Curation of Online News Comments. #ISOJ Journal. April, 2015. [PDF]

N. Diakopoulos. The Editor’s Eye: Curation and Comment Relevance on the New York Times. Proc. Conference on Computer Supported Cooperative Work (CSCW). March, 2015. [PDF]

J. Hullman, N. Diakopoulos, E. Momeni, E. Adar. Content, Context, and Critique: Commenting on a Data Visualization Blog. Proc. Conference on Computer Supported Cooperative Work (CSCW). March, 2015. [PDF]

N. Diakopoulos and M. Naaman. Topicality, Time, and Sentiment in Online News Comments. Conference on Human Factors in Computing Systems (CHI) Works in Progress. May, 2011. [PDF]

N. Diakopoulos, M. Naaman. Towards Quality Discourse in Online News Comments. Conference on Computer Supported Cooperative Work (CSCW). March, 2011. [PDF]