Abstract Nowadays Hate Speech and Abusive Language (HSAL) have spread extensively
over social media. The easy use of social media allows people to abuse the media to spread …

Abstract Analysis of subjective texts like offensive content or hate speech is a great
challenge, especially regarding annotation process. Most of current annotation procedures …

Along with the increasing activity on social media, hate speech is getting out of control. Hate
speech detection can be done by utilizing text mining technology. There have been many …

Nowadays, users across the globe interact with one another for information exchange,
communication, and association on various online social media. However, some individuals …

Toxic content is a global problem, but most resources for detecting toxic content are in
English. When datasets are created in other languages, they often focus exclusively on one …

Hate speech is a crime in all countries. Hate speech can be for women, religions, countries,
cultures. The big problem for hate speech is that it entices the evil people. Moreover, it …

Instagram is a free photo-sharing platform where each user has a profile and can upload
photos for followers to view, like, and comment. Abusive comments on images can be …

In this study, we present a language-based survey of hate speech detection in Asian
languages. The motivation of this survey is to encourage the development of an automated …

Hate speech is a challenging problem, and its dissemination can cause potential harm to
individuals and society by creating a sense of general unwelcoming to the marginalized …

In recent years, hate speech found in social media is increasing. The increase in the number
of hate speech is caused by the increasing number of social media active users around the …