The detection of toxic language in the Arabic language has emerged as an active area of
research in recent years, and reviewing the existing datasets employed for training the …

Hate speech is a severe issue that affects many online platforms. So far, several studies
have been performed to develop robust hate speech detection systems. Large language …

The detection of toxic language in the Arabic language has emerged as an active area of
research in recent years, and reviewing the existing datasets employed for training the …

This paper describes our participation in the shared task of hate speech detection, which is
one of the subtasks of the CERIST NLP Challenge 2022. Our experiments evaluate the …

The prevalence of toxic content on social media platforms, such as hate speech, offensive
language, and misogyny, presents serious challenges to our interconnected society. These …

Users of social networks and Internet sites face numerous challenges. Problems such as
fake news, satire, rumors, misinformation, misleading information, cyberbullying, spam …

We are currently witnessing a concerning surge in the spread of hate speech across various
social media platforms, targeting individuals or groups based on their protected …

Large language models like ChatGPT have recently shown a great promise in performing
several tasks, including hate speech detection. However, it is crucial to comprehend the …

Online misogyny has become a major cause of concern for Arab women who face gender-
based online abuse regularly. Misogyny is a form of hate speech that denigrates a person or …

Abstract Systems that can automatically detect offensive content are of great value, for
example, to provide protective settings for users or assist social media supervisors with …