| Title | Detecting Aggressors and Bullies on Twitter |
| Publication Type | Conference Proceedings |
| Year of Conference | 2017 |
| Authors | Chatzakou, Despoina, Nicolas Kourtellis, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, and Athena Vakali |
| Book Title | Proceedings of the 26th International Conference on World Wide Web Companion |
| Series Title | WWW '17 Companion |
| Pagination | 767--768 |
| Publisher | ACM |
| Conference Location | Perth, Australia |
| ISBN | 978-1-4503-4914-7 |
| Keywords | crowdsourcing, cyber-aggression, cyberbullying, Twitter |
| Abstract | Online social networks constitute an integral part of people's every day social activity and the existence of aggressive and bullying phenomena in such spaces is inevitable. In this work, we analyze user behavior on Twitter in an effort to detect cyberbullies and cuber-aggressors by considering specific attributes of their online activity using machine learning classifiers. |
| URL | http://dl.acm.org/citation.cfm?id=3054211 |
| DOI | 10.1145/3041021.3054211 |
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