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. Thisis 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 acommunity site. These users and their submissions discourage other users, keepthem from retrieving good communication records, and decrease the credibilityof the communication site. To solve this problem, we conducted an experimentalstudy to detect submitters suspected of pretending to be someone else tomanipulate communications in a community site by using machine learningtechniques. In this study, we used messages in the data of Yahoo! chiebukurofor data training and examination. |
| Language | |
| Topics | Person Identification |
Full paper  |
Detection of submitters suspected of pretending to be someone else in a community site |
| Bibtex | @InProceedings{ISHIKAWA10.727, author = {Naoki Ishikawa, Ryo Nishimura, Yasuhiko Watanabe, 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 conference on International Language Resources and Evaluation (LREC'10)}, year = {2010}, month = {may}, date = {19-21}, address = {Valletta, Malta}, editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Mike Rosner, Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-6-7}, language = {english} } |