Topicality, time, and sentiment in online news comments

Nicholas Diakopoulos*, Mor Naaman

*Corresponding author for this work

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

11 Scopus citations

Abstract

In this paper we examine the relationships between news comment topicality, temporality, sentiment, and quality in a dataset of 54, 540 news comments. Initial observations indicate that comment sentiments, both positive and negative, can be useful indicators of discourse quality, and that aggregate temporal patterns in positive sentiment exist on comment threads.

Original languageEnglish (US)
Title of host publicationCHI EA 2011 - 29th Annual CHI Conference on Human Factors in Computing Systems, Conference Proceedings and Extended Abstracts
Pages1405-1410
Number of pages6
DOIs
StatePublished - Jun 8 2011
Event29th Annual CHI Conference on Human Factors in Computing Systems, CHI 2011 - Vancouver, BC, Canada
Duration: May 7 2011May 12 2011

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Other

Other29th Annual CHI Conference on Human Factors in Computing Systems, CHI 2011
CountryCanada
CityVancouver, BC
Period5/7/115/12/11

Keywords

  • Commenting systems
  • News discourse
  • Online journalism

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

Cite this

Diakopoulos, N., & Naaman, M. (2011). Topicality, time, and sentiment in online news comments. In CHI EA 2011 - 29th Annual CHI Conference on Human Factors in Computing Systems, Conference Proceedings and Extended Abstracts (pp. 1405-1410). (Conference on Human Factors in Computing Systems - Proceedings). https://doi.org/10.1145/1979742.1979782