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 …

The enormous growth of social media provides a platform for displaying harmful, offensive
online behaviour, which keeps increasing with time. The popularity of smartphones and the …

Hope Speech detection is the task of classifying a sentence as hope speech or non-hope
speech given a corpus of sentences. Hope speech is any message or content that is …

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 …

Social networking platforms gained widespread popularity and are used for various activities
like: promoting products, sharing news, achievements and many more. On the other hand, it …

Abstract The spread of Hate Speech on online platforms is a severe issue for societies and
requires the identification of offensive content by platforms. Research has modeled Hate …

This paper describes the development of a multilingual, manually annotated dataset for
three under-resourced Dravidian languages generated from social media comments. The …

The rise of social networks has allowed misogynistic, xenophobic, and homophobic people
to spread their hate-speech to intimidate individuals or groups because of their gender …

Multimodal fusion has become one of the hottest topics in affective computing and other
research areas. Yet, this topic is less studied in surveillance systems. In general, it focused …

Social media has effectively replaced traditional forms of communication and marketing. As
these platforms allow for the free expression of ideas and facts through text, images, and …