Automatic cyberbullying detection is a task of growing interest, particularly in the Natural
Language Processing and Machine Learning communities. Not only is it challenging, but it …

Cyberbullying is a growing problem across social media platforms, inflicting short and long-
lasting effects on victims. To mitigate this problem, research has looked into building …

Cyberbullying (CB) has become increasingly prevalent in social media platforms. With the
popularity and widespread use of social media by individuals of all ages, it is vital to make …

With proliferation of user generated contents in social media platforms, establishing
mechanisms to automatically identify toxic and abusive content becomes a prime concern …

Cyberbullying has become a major problem around the world with the increasing usage of
social networks. In this direction, many studies are conducted to detect cyberbullying content …

The rise in web and social media interactions has resulted in the efortless proliferation of
offensive language and hate speech. Such online harassment, insults, and attacks are …

With the exponential increase of social media users, cyberbullying has been emerged as a
form of bullying through electronic messages. Social networks provides a rich environment …

Cyberbullying is a pervasive problem in online social media, where a bully abuses a victim
through a social media session. By investigating cyberbullying perpetrated through social …

Web 2.0 helped user-generated platforms to spread widely. Unfortunately, it also allowed for
cyberbullying to spread. Cyberbullying has negative effects that could lead to cases of …

Cyberbullying is a disturbing online misbehaviour with troubling consequences. It appears
in different forms, and in most of the social networks, it is in textual format. Automatic …