Online toxic discourses could result in conflicts between groups or harm to online
communities. Hate speech is complex and multifaceted harmful or offensive content …

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 …

Social media platforms have been establishing content moderation guidelines and
employing various moderation policies to counter hate speech and misinformation. The goal …

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 …

Abstract The Hate Speech Detection (HaSpeeDe 2) task is the second edition of a shared
task on the detection of hateful content in Italian Twitter messages. HaSpeeDe 2 is …

The availability of large annotated corpora from social media and the development of
powerful classification approaches have contributed in an unprecedented way to tackle the …

The detection of abusive or offensive remarks in social texts has received significant
attention in research. In several related shared tasks, BERT has been shown to be the state …

In recent years, the increasing propagation of hate speech in online social networks and the
need for effective counter-measures have drawn significant investment from social network …

Social media services make it possible for an increasing number of people to express their
opinion publicly. In this context, large amounts of hateful comments are published daily. The …

Abusive language is becoming a problematic issue for our society. The spread of messages
that reinforce social and cultural intolerance could have dangerous effects in victims' life …