In today's world, social media can act as a tool for spreading hate towards a person or group
based on their color, caste, sex, sexual orientation, political differences, etc. As social media …

The classification of hate speech and offensive language presents significant challenges,
primarily due to the scarcity of low-resource datasets and the absence of pre-trained models …

In today's age, social media reigns as the paramount communication platform, providing
individuals with the avenue to express their conjectures, intellectual propositions, and …

With the relentless growth of technology usage, particularly among younger generations, the
alarming prevalence of hate speech on the internet has become an urgent global concern …

Social media is a widely used platform that includes a vast amount of user-generated
content, allowing the extraction of information about users' thoughts from texts. Individuals …

The last decade has seen a steep rise in the use and dependence of society on social
media. The need for detection and prevention of hate and offensive speech is more than …

In this paper, we address hate speech and offensive content detection for English and Indo-
Aryan languages. It is a shared task in hate speech detection for Sinhala and Gujarati (Task …

Hate speech poses significant challenges to maintaining healthy online conversations, and
automated systems are crucial for its accurate detection and mitigation. In this paper, we …