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 …

The scientific study of hate speech, from a computer science point of view, is recent. This
survey organizes and describes the current state of the field, providing a structured overview …

Ensuring alignment, which refers to making models behave in accordance with human
intentions [1, 2], has become a critical task before deploying large language models (LLMs) …

Hate speech is a challenging issue plaguing the online social media. While better models
for hate speech detection are continuously being developed, there is little research on the …

Hate speech is commonly defined as any communication that disparages a target group of
people based on some characteristic such as race, colour, ethnicity, gender, sexual …

In recent years, the increasing propagation of hate speech on social media and the urgent
need for effective counter-measures have drawn significant investment from governments …

In this paper, we present the report and findings of the Shared Task on Aggression
Identification organised as part of the First Workshop on Trolling, Aggression and …

Hate speech is considered to be one of the major issues currently plaguing the online social
media. With online hate speech culminating in gruesome scenarios like the Rohingya …

Online social networks (OSNs) face the challenging problem of hate speech, which should
be moderated for the growth of OSNs. The machine learning approaches dominate the …

The rapid growth of Internet users led to unwanted cyber issues, including cyberbullying,
hate speech, and many more. This article deals with the problems of hate speech on Twitter …