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 …

Detecting online toxicity has always been a challenge due to its inherent subjectivity. Factors
such as the context, geography, socio-political climate, and background of the producers …

Hate speech is a challenging issue plaguing the online social media. While better models
for hate speech detection are continuously being developed, there is little research on the …

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 …

The freedom of expression given by social media has a dark side: the growing proliferation
of abusive contents on these platforms. Misogynistic speech is a kind of abusive language …

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

The rise in web and social media interactions has resulted in the efortless proliferation of
offensive language and hate speech. Such online harassment, insults, and attacks are …

In today's fast-paced world, the rates of stress and depression present a surge. People use
social media for expressing their thoughts and feelings through posts. Therefore, social …