Departing from Jessie Daniels's 2013 review of scholarship on race and racism online, this
article maps and discusses recent developments in the study of racism and hate speech in …

Hate Speech in social media is a complex phenomenon, whose detection has recently
gained significant traction in the Natural Language Processing community, as attested by …

Online toxic discourses could result in conflicts between groups or harm to online
communities. Hate speech is complex and multifaceted harmful or offensive content …

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 …

Data-driven and machine learning based approaches for detecting, categorising and
measuring abusive content such as hate speech and harassment have gained traction due …

Hate speech is considered to be one of the major issues currently plaguing the online social
media. With online hate speech culminating in gruesome scenarios like the Rohingya …

We argue that existing security, privacy, and antiabuse protections fail to address the
growing threat of online hate and harassment. In order for our community to understand and …

Aiming to enhance the safety of their users, social media platforms enforce terms of service
by performing active moderation, including removing content or suspending users …

The proliferation of social media enables people to express their opinions widely online.
However, at the same time, this has resulted in the emergence of conflict and hate, making …

In this work we target the problem of hate speech detection in multimodal publications
formed by a text and an image. We gather and annotate a large scale dataset from Twitter …