Paper: Discovering User Interactions in Ideological Discussions

ACL ID P13-1066
Title Discovering User Interactions in Ideological Discussions
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2013
Authors

Online discussion forums are a popular platform for people to voice their opinions on any subject matter and to discuss or debate any issue of interest. In forums where users discuss social, political, or religious issues, there are often heated debates among users or participants. Existing research has studied mining of user stances or camps on certain issues, opposing perspectives, and contention points. In this paper, we focus on identifying the nature of interactions among user pairs. The central questions are: How does each pair of users interact with each other? Does the pair of users mostly agree or disagree? What is the lexicon that people often use to express agreement and disagreement? We present a topic model based approach to answer these questions. Since agree...