The increasing popularity of social media platforms such as Twitter and Facebook has led to
a rise in the presence of hate and aggressive speech on these platforms. Despite the …

The Hate Speech Detection (HaSpeeDe) task is a shared task on Italian social media
(Facebook and Twitter) for the detection of hateful content, and it has been proposed for the …

In the online social networks, blogs, microblogs, social bookmarking services and sharing
sites, and various web forum pages; the sharing of knowledge, opinions, ideas, etc. are …

Racism is increasingly recognised as a key driver of unfair inequalities in power, resources
and opportunities across racial groups. A comprehensive understanding of racism is …

Social media platforms like Twitter and Instagram face a surge in cyberbullying phenomena
against young users and need to develop scalable computational methods to limit the …

Social media networks have become a space where users are free to relate their opinions
and sentiments which may lead to a large spreading of hatred or abusive messages which …

The task of identifying hate speech in social networks has recently attracted considerable
interest in the community of natural language processing. This challenge has great …

English. Despite the number of approaches recently proposed in NLP for detecting abusive
language on social networks, the issue of developing hate speech detection systems that …

During the last few years, social activities over the internet especially on social media
platforms increased drastically, but unfortunately, social networks have also become the …

As a result of social network popularity, in recent years, hate speech phenomenon has
significantly increased. Due to its harmful effect on minority groups as well as on large …