- Author
- Year
- 2017
- Title
- Detecting Controversies in Online News Media
- Event
- 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2017
- Book/source title
- SIGIR'17 : proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
- Book/source subtitle
- August 7-11, 2017, Shinjuku, Tokyo, Japan
- Pages (from-to)
- 1069-1072
- Publisher
- New York, NY: Association for Computing Machinery
- ISBN (electronic)
- 9781450350228
- Document type
- Conference contribution
- Faculty
- Faculty of Humanities (FGw)
Faculty of Science (FNWI)
Faculty of Social and Behavioural Sciences (FMG) - Institute
- Amsterdam Institute for Humanities Research (AIHR)
Informatics Institute (IVI)
Amsterdam School of Communication Research (ASCoR) - 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.
- URL
- go to publisher's site
- Language
- English
- Persistent Identifier
- https://hdl.handle.net/11245.1/482b0fe2-b6a3-48b8-8d7d-ff86ad134265
- Downloads
-
p1069-beelen(Final published version)
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