Hate speech is one type of harmful online content which directly attacks or promotes hate
towards a group or an individual member based on their actual or perceived aspects of …

Cyber-aggression, cyberbullying, and cyber-grooming are distinctive and similar
phenomena that represent the objectionable content appearing on online social media …

We investigate how annotators' insensitivity to differences in dialect can lead to racial bias in
automatic hate speech detection models, potentially amplifying harm against minority …

Hope Speech detection is the task of classifying a sentence as hope speech or non-hope
speech given a corpus of sentences. Hope speech is any message or content that is …

Over the past few years, systems have been developed to control online content and
eliminate abusive, offensive or hate speech content. However, people in power sometimes …

Recent work on language technology has tried to recognize abusive language such as
those containing hate speech and cyberbullying and enhance offensive language …

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 …

Recent work on language technology has aimed to identify negative language such as hate
speech and cyberbullying as well as improve offensive language detection to mediate social …

Abstract Work on Abusive Language Detection has tackled a wide range of subtasks and
domains. As a result of this, there exists a great deal of redundancy and non-generalisability …

In recent years, unethical behavior in the cyber-environment has been revealed. The
presence of offensive language on social media platforms and automatic detection of such …