Detecting Controversies in Online News Media

Open Access
Authors
Publication date 2017
Book title SIGIR'17 : proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
Book subtitle August 7-11, 2017, Shinjuku, Tokyo, Japan
ISBN (electronic)
  • 9781450350228
Event 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2017
Pages (from-to) 1069-1072
Publisher New York, NY: Association for Computing Machinery
Organisations
  • Faculty of Social and Behavioural Sciences (FMG) - Amsterdam School of Communication Research (ASCoR)
  • Faculty of Humanities (FGw) - Amsterdam Institute for Humanities Research (AIHR)
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract This paper sets out to detect controversial news reports using online discussions as a source of information. We define controversy as a public discussion that divides society and demonstrate that a content and stylometric analysis of these debates yields useful signals for extracting disputed news items. Moreover, we argue that a debate-based approach could produce more generic models, since the discussion architectures we exploit to measure controversy occur on many different platforms.
Document type Conference contribution
Language English
Published at https://doi.org/10.1145/3077136.3080723
Downloads
p1069-beelen (Final published version)
Permalink to this page
Back