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http://dx.doi.org/10.5392/JKCA.2018.18.11.135

User Characterization from Replying Comment Structures in Online Discussion  

Kim, Sung-Hwan (부산대학교 전기전자컴퓨터공학과)
Tak, Haesung (부산대학교 전기전자컴퓨터공학과)
Cho, Hwan-Gue (부산대학교 전기전자컴퓨터공학과)
Publication Information
The Journal of the Korea Contents Association / v.18, no.11, 2018 , pp. 135-145 More about this Journal
Abstract
In online communities, users use comments to exchange their opinions and feelings on various subjects. Communication based on comments is quick and convenient, but sometimes this light-weight characteristic makes users use impolite and aggressive words, which leads to an online conflict. Therefore, it is important to analyze and classify users according to their characteristics in order to predict and take action for this kind of troubles. In this paper, we present several quantitative measures for describing the structures of comments trees based on the assumption that the user characteristics be observed as a form of some structural feature in comment trees of articles in which they posted comments. We examine the distribution of the proposed measures over article posters and commenters, and in addition, we show the effectiveness of the presented structural features by conducting experiments to classify users who have received warnings of the administrator from benign users.
Keywords
Internet Community; Web-based Discussion; Comment Tree; User Classification;
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