Social media is a more common and powerful platform for communication to share views
about any topic or article, which consequently leads to unstructured toxic, and hateful …

Cyber-aggression, cyberbullying, and cyber-grooming are distinctive and similar
phenomena that represent the objectionable content appearing on online social media …

Large language models (LLMs) have shown incredible capabilities and transcended the
natural language processing (NLP) community, with adoption throughout many services like …

This work proposes a new challenge set for multimodal classification, focusing on detecting
hate speech in multimodal memes. It is constructed such that unimodal models struggle and …

We present the results and the main findings of SemEval-2019 Task 6 on Identifying and
Categorizing Offensive Language in Social Media (OffensEval). The task was based on a …

As offensive content has become pervasive in social media, there has been much research
in identifying potentially offensive messages. However, previous work on this topic did not …

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 online social networks have suffered an increase in sexism, racism, and
other types of aggressive and cyberbullying behavior, often manifesting itself through …

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 …

Social media platforms and microblogging websites have gained accelerated popularity
during the past few years. These platforms are used for expressing views and opinions …