CommentIQ: Enhancing Journalistic Curation of Online News Comments

Nicholas Diakopoulos*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

National news outlets routinely publish articles that attract hundreds and even thousands of user comments. These comments often provide valuable feedback and critique, personal perspectives, new information and expertise, and opportunities for discussion (not to mention profanity and vitriol). The varying quality of comments demands a high level of moderation and curatorial attention in order to cultivate a successful online community around news. Amongst publishers there is a growing awareness that finding and publicly highlighting high quality comments can in turn promote the general quality of the discourse. Further journalistic value can be gleaned by identifying and developing new sources of information and expertise from comments. In this talk I will present an editorially-aware visual analytics system called CommentIQ that supports moderators in curating high quality news comments at scale. The possibilities and ramifications of algorithmically infused social media moderation will be discussed in terms of journalistic ideals and norms of free speech and inclusion.

Original languageEnglish (US)
Title of host publicationWWW 2016 Companion - Proceedings of the 25th International Conference on World Wide Web
PublisherAssociation for Computing Machinery, Inc
Pages715-716
Number of pages2
ISBN (Electronic)9781450341448
DOIs
StatePublished - Apr 11 2016
Externally publishedYes
Event25th International Conference on World Wide Web, WWW 2016 - Montreal, Canada
Duration: May 11 2016May 15 2016

Publication series

NameWWW 2016 Companion - Proceedings of the 25th International Conference on World Wide Web

Conference

Conference25th International Conference on World Wide Web, WWW 2016
Country/TerritoryCanada
CityMontreal
Period5/11/165/15/16

Keywords

  • comment moderation
  • comment quality
  • computational journalism
  • news commenting
  • visual analytics

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

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