Improving Cyberbullying Detection with User Context

Author:

Dadvar Maral,Trieschnigg Dolf,Ordelman Roeland,de Jong Franciska

Publisher

Springer Berlin Heidelberg

Reference7 articles.

1. Espelage, D.L., Swearer, S.M.: Research on school bullying and victimization: What have we learned and where do we go from here? School Psychology Review 32(3), 365–383 (2003)

2. Yin, D., Xue, Z., Hong, L., Davison, B.D., Kontostathis, A., Edwards, L.: Detection of Harassment on Web 2.0. In: Proceedings of the Content Analysis in the WEB 2.0 (CAW2.0) Workshop at WWW 2009, Madrid, Spain (2009)

3. Dinakar, K., Reichart, R., Lieberman, H.: Modeling the detection of textual cyberbullying. In: International Conference on Weblog and Social Media - Social Mobile Web Workshop, Barcelona, Spain (2011)

4. Dadvar, M., de Jong, F.M.G., Ordelman, R.J.F., Trieschnigg, D.: Improved Cyberbullying Detection Using Gender Information. In: Proceedings of the Twelfth Dutch-Belgian Information Retrieval Workshop (DIR 2012), Ghent, Belgium, pp. 23–26 (2012)

5. Sood, S., Antin, J., Churchill, E.: Using Crowdsourcing to Improve Profanity Detection. In: AAAI Spring Symposium Series, pp. 69–74 (2012)

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