Online hatred is a growing concern on many social media platforms. To address this issue,
different social media platforms have introduced moderation policies for such content. They …

Automatic cyberbullying detection in social media is increasingly vital due to the integral role
of social networks in people's lives and the severe impact of cyberbullying. Cyberbullying …

Hope is a crucial aspect of human psychology that has received considerable attention due
to its role in facing challenges in human life. However, current research predominantly …

Abusive language content such as hate speech, profanity, and cyberbullying etc., which is
common in online platforms is creating lot of problems to the users as well as policy makers …

With the growth of social media platform influence, the effect of their misuse becomes more
and more impactful. The importance of automatic detection of threatening and abusive …

With the increase in the generation and spread of textual content on social media, natural
language processing (NLP) has become an important area of research for detecting …

This paper presents the system descriptions submitted at the FIRE Shared Task 2021 on
Urdu's Abusive and Threatening Language Detection Task. This challenge aims at …

Emotion and targeted abuse detection ie threat, are problems that have been studied in
many rich resource languages. However, when it comes to low-resource languages such as …