As hate speech continues to proliferate on the web, it is becoming increasingly important to
develop computational methods to mitigate it. Reactively, using black-box models to identify …

The widespread use of social media necessitates reliable and efficient detection of offensive
content to mitigate harmful effects. Although sophisticated models perform well on individual …

The present paper investigates linguistic data that include hate speech motivated by the
alleged or real ethnic or national identity of its addressee in German and Polish Internet …

While online hate groups pose significant risks to the health of online platforms and safety of
marginalized groups, little is known about what causes users to become active in hate …

AI-based NLP literature has explored antipathy toward the marginalized section of society,
such as migrants, and their social acceptance. Broadly, extant literature has conceptualized …

This paper presents the novel solution to HODI (Homotranphobia Detection in Italian;[1] at
EVALITA 2023 [2]. The task is structured into two subtasks: Task A, homophobic message …

This paper proposes the work of team VEL to address IberLEF-2024 shared task Homo-MEX
2024. Hate speech against the LGBT+ community remains a pervasive issue on social …