Paper: Subgroup Detection in Ideological Discussions

ACL ID P12-1042
Title Subgroup Detection in Ideological Discussions
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2012
Authors

The rapid and continuous growth of social networking sites has led to the emergence of many communities of communicating groups. Many of these groups discuss ideological and political topics. It is not uncommon that the participants in such discussions split into two or more subgroups. The members of each sub- group share the same opinion toward the dis- cussion topic and are more likely to agree with members of the same subgroup and disagree with members from opposing subgroups. In this paper, we propose an unsupervised ap- proach for automatically detecting discussant subgroups in online communities. We analyze the text exchanged between the participants of a discussion to identify the attitude they carry toward each other and towards the various as- pects of the discussion topic. We use...