Characterizing debate performance via aggregated twitter sentiment

Nicholas A. Diakopoulos, David A. Shamma

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

262 Scopus citations

Abstract

Television broadcasters are beginning to combine social micro-blogging systems such as Twitter with television to create social video experiences around events. We looked at one such event, the first U.S. presidential debate in 2008, in conjunction with aggregated ratings of message sentiment from Twitter. We begin to develop an analytical methodology and visual representations that could help a journalist or public affairs person better understand the temporal dynamics of sentiment in reaction to the debate video. We demonstrate visuals and metrics that can be used to detect sentiment pulse, anomalies in that pulse, and indications of controversial topics that can be used to inform the design of visual analytic systems for social media events.

Original languageEnglish (US)
Title of host publicationCHI 2010 - The 28th Annual CHI Conference on Human Factors in Computing Systems, Conference Proceedings
Pages1195-1198
Number of pages4
DOIs
StatePublished - Jul 6 2010
Event28th Annual CHI Conference on Human Factors in Computing Systems, CHI 2010 - Atlanta, GA, United States
Duration: Apr 10 2010Apr 15 2010

Publication series

NameConference on Human Factors in Computing Systems - Proceedings
Volume2

Other

Other28th Annual CHI Conference on Human Factors in Computing Systems, CHI 2010
CountryUnited States
CityAtlanta, GA
Period4/10/104/15/10

Keywords

  • affect
  • annotation
  • debate
  • journalism
  • sentiment
  • tv
  • video

ASJC Scopus subject areas

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

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    Diakopoulos, N. A., & Shamma, D. A. (2010). Characterizing debate performance via aggregated twitter sentiment. In CHI 2010 - The 28th Annual CHI Conference on Human Factors in Computing Systems, Conference Proceedings (pp. 1195-1198). (Conference on Human Factors in Computing Systems - Proceedings; Vol. 2). https://doi.org/10.1145/1753326.1753504