The pervasiveness of abusive content on the internet can lead to severe psychological and
physical harm. Significant effort in Natural Language Processing (NLP) research has been …

Ethnicity-targeted hate speech has been widely shown to influence on-the-ground inter-
ethnic conflict and violence, especially in such multi-ethnic societies as Russia. Therefore …

Computational social science uses computational and statistical methods in order to
evaluate social interaction. The public availability of data sets is thus a necessary …

Abuse and hate are penetrating social media and many comment sections of news media
companies. To prevent losing readers who get appalled by inappropriate texts, these …

With the increase in the generation and spread of textual content on social media, natural
language processing (NLP) has become an important area of research for detecting …

To support safety and inclusion in online communications, significant efforts in NLP research
have been put towards addressing the problem of abusive content detection, commonly …

This study investigates the rampant spread of offensive and derogatory language during the
COVID-19 pandemic and aims to mitigate it through machine learning. Employing advanced …

While abusive language in online contexts is a long-known problem, algorithmic detection
and moderation support are only recently experiencing rising interest. This survey provides …

The past decade has been characterized by a strong increase in the use of social media and
a continuous growth of public online discussion. With the failure of purely manual …

In this chapter we give an overview of the usage and context of figurative elements in hate
speech, addressing also the role of humour in such comments. In doing this, we focus on the …