People are increasingly sharing and expressing their emotions using online social media
platforms such as Twitter, Facebook, and YouTube. An abusive, hateful, threatening, and …

This paper discusses the submissions to the shared task on abusive comment detection in
Tamil and Telugu codemixed social media text conducted as part of the third Workshop on …

Our research aims to describe Natural Language Processing (NLP) tasks aimed at hope
speech detection in social media code-mixed comments. Commentaries on social media …

Introduction One of the consequences of the increase in the number of social network users
has been the inappropriate use of social networks by some of these users. Hate speeches …

This paper provides a comprehensive summary of the “Homophobia and Transphobia
Detection in Social Media Comments” shared task, which was held at the LT-EDI@ EACL …

Social media is widely used to spread fake news, which affects a larger population. So it is
considered as a very important task to detect fake news spread on social media platforms …

In this work, we present a novel framework for discriminatory comment classification in
targeted low-resource languages thereby enabling identification of discriminatory comments …

Abstract Our research in Natural Language Processing (NLP) aims to detect hate speech
comments specifically targeted at the LGBTQ+ community within the YouTube platform …

Many people may find motivation in their lives by spreading content on social media that is
encouraging or hopeful. Creating an effective model that helps in accurately predicting the …

Code-mixing is a word or phrase-level act of interchanging two or more languages during a
conversation or in written text within a sentence. This phenomenon is widespread on social …