Naoki Ishikawa


2010

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Detection of Users Suspected of Pretending to Be Other Users in a Community Site by Using Messages Submitted to Non-Target Categories
Naoki Ishikawa | Ryo Nishimura | Yasuhiko Watanabe | Masaki Murata | Yoshihiro Okada
Proceedings of the 24th Pacific Asia Conference on Language, Information and Computation

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Detection of submitters suspected of pretending to be someone else in a community site
Naoki Ishikawa | Ryo Nishimura | Yasuhiko Watanabe | Yoshihiro Okada | Masaki Murata
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

One of the essential factors in community sites is anonymous submission. This is because anonymity gives users chances to submit messages (questions, problems, answers, opinions, etc.) without regard to shame and reputation. However, some users abuse the anonymity and disrupt communications in a community site. These users and their submissions discourage other users, keep them from retrieving good communication records, and decrease the credibility of the communication site. To solve this problem, we conducted an experimental study to detect submitters suspected of pretending to be someone else to manipulate communications in a community site by using machine learning techniques. In this study, we used messages in the data of Yahoo! chiebukuro for data training and examination.