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 …

Hate speech detection has substantially increased interest among researchers in the
domain of natural language processing (NLP) and text mining. The number of studies on this …

Social media platforms such as Twitter have revolutionized online communication and
interactions but often contain components of disdain for its growing user base. This …

Over the past few years, researchers have been focusing on the identification of offensive
language on social networks. In places where English is not the primary language, social …

A plethora of negative behavioural activities have recently been found in social media.
Incidents such as trolling and hate speech on social media, especially on Twitter, have …

Abstract The realm of Natural Language Processing and Text Mining has seen a surge in
interest from researchers in hate speech detection, leading to an increase in related studies …

The machine learning (ML) research community has landed on automated hate speech
detection as the vital tool in the mitigation of bad behavior online. However, it is not clear that …

Social media applications, such as Twitter and Facebook, allow users to communicate and
share their thoughts, status updates, opinions, photographs, and videos around the globe …

There has been surge in the usage of Internet as well as social media platforms which has
led to rise in online hate speech targeted on individual or group. In the recent years, hate …

With an aim to eliminate or reduce the spread of hate content across social media platforms,
the development of artificial intelligence supported computational predictors is an active …