Summary of the paper
| Title | Detection of submitters suspected of pretending to be someone else in a community site |
|---|---|
| Authors | Naoki Ishikawa, Ryo Nishimura, Yasuhiko Watanabe, Yoshihiro Okada and Masaki Murata |
| Abstract | 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. |
| Topics | Person Identification |
Full paper |
Detection of submitters suspected of pretending to be someone else in a community site |
Slides |
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| Bibtex | @InProceedings{ISHIKAWA10.727, author = {Naoki Ishikawa and Ryo Nishimura and Yasuhiko Watanabe and Yoshihiro Okada and Masaki Murata}, title = {Detection of submitters suspected of pretending to be someone else in a community site}, booktitle = {Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)}, year = {2010}, month = {may}, date = {19-21}, address = {Valletta, Malta}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis and Mike Rosner and Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-6-7}, language = {english} } |