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 …

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 …

Social media is a more common and powerful platform for communication to share views
about any topic or article, which consequently leads to unstructured toxic, and hateful …

We discuss the impact of data bias on abusive language detection. We show that
classification scores on popular datasets reported in previous work are much lower under …

We present the pilot edition of the GermEval Shared Task on the Identification of Offensive
Language. This shared task deals with the classification of German tweets from Twitter. It …

Abusive language detection is an unsolved and challenging problem for the NLP
community. Recent literature suggests various approaches to distinguish between different …

With the advent of the internet and numerous social media platforms, citizens now have
enormous opportunities to express and share their opinions on various societal and political …

We describe the creation of HurtLex, a multilingual lexicon of hate words. The starting point
is the Italian hate lexicon developed by the linguist Tullio De Mauro, organized in 17 …