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 …

In this paper, we introduce HateBERT, a re-trained BERT model for abusive language
detection in English. The model was trained on RAL-E, a large-scale dataset of Reddit …

The freedom of expression given by social media has a dark side: the growing proliferation
of abusive contents on these platforms. Misogynistic speech is a kind of abusive language …

Offensive content is pervasive in social media and a reason for concern to companies and
government organizations. Several studies have been recently published investigating …

With the rise of hate speech phenomena in the Twittersphere, significant research efforts
have been undertaken in order to provide automatic solutions for detecting hate speech …

Hate Speech and harassment are widespread in online communication, due to users'
freedom and anonymity and the lack of regulation provided by social media platforms. Hate …

The performance of hate speech detection models relies on the datasets on which the
models are trained. Existing datasets are mostly prepared with a limited number of instances …

Hate speech is an increasingly important societal issue in the era of digital communication.
Hateful expressions often make use of figurative language and, although they represent, in …

The COVID-19 epidemic is considered as the global health crisis of the whole society and
the greatest challenge mankind faced since World War Two. Unfortunately, the fake news …