Hate Speech in social media is a complex phenomenon, whose detection has recently
gained significant traction in the Natural Language Processing community, as attested by …

Hate speech is one type of harmful online content which directly attacks or promotes hate
towards a group or an individual member based on their actual or perceived aspects of …

Hate speech has grown significantly on social media, causing serious consequences for
victims of all demographics. Despite much attention being paid to characterize and detect …

We present the results and the main findings of SemEval-2020 Task 11 on Detection of
Propaganda Techniques in News Articles. The task featured two subtasks. Subtask SI is …

Users of online platforms have negative effects on their mental health as a direct result of the
spread of abusive content across social media networks. Homophobia are terms that refer to …

Countering online hate speech is a critical yet challenging task, but one which can be aided
by the use of Natural Language Processing (NLP) techniques. Previous research has …

Cyber-aggression, cyberbullying, and cyber-grooming are distinctive and similar
phenomena that represent the objectionable content appearing on online social media …

With the advent of the read-write web which facilitates social interactions in online spaces,
the rise of anti-social behaviour in online spaces has attracted the attention of researchers …

In this paper we explore quarantining as a more ethical method for delimiting the spread of
Hate Speech via online social media platforms. Currently, companies like Facebook, Twitter …

A new wave of growing antisemitism, driven by fringe Web communities, is an increasingly
worrying presence in the socio-political realm. The ubiquitous and global nature of the Web …