With the multiplication of social media platforms, which offer anonymity, easy access and
online community formation and online debate, the issue of hate speech detection and …

Online toxic discourses could result in conflicts between groups or harm to online
communities. Hate speech is complex and multifaceted harmful or offensive content …

Growing concern surrounds the impact of social media platforms on public discourse,,–and
their influence on social dynamics,,,–, especially in the context of toxicity,–. Here, to better …

Despite remarkable advances that large language models have achieved in chatbots,
maintaining a non-toxic user-AI interactive environment has become increasingly critical …

Hate speech is one type of harmful online content which directly attacks or promotes hate
towards a group or an individual member based on their actual or perceived aspects of …

The HASOC track is dedicated to the evaluation of technology for finding Offensive
Language and Hate Speech. HASOC is creating a multilingual data corpus mainly for …

Detecting online toxicity has always been a challenge due to its inherent subjectivity. Factors
such as the context, geography, socio-political climate, and background of the producers …

Online misogyny is a pernicious social problem that risks making online platforms toxic and
unwelcoming to women. We present a new hierarchical taxonomy for online misogyny, as …

In this position paper, we argue that instead of morally aligning LLMs to specific set of ethical
principles, we should infuse generic ethical reasoning capabilities into them so that they can …

The social impact of natural language processing and its applications has received
increasing attention. In this position paper, we focus on the problem of safety for end-to-end …