Lightning Talk–Towards Robust Detection of Cyberbullying in Social Media
Mengfan Yao, Charalampos Chelmis, Daphney–Stavroula Zois · 2019
The potentially detrimental effects of cyberbullying have led to the development of numerous automated, data–driven approaches, with emphasis on classification accuracy. Cyberbullying, as a form of abusive online behavior, although not well–defined, is a repetitive process, i.e., a sequence of aggressive messages sent from a bully to a victim over a period of time with the intent to harm the victim.