Hate Speech and Abusive Laungage Detection In Twitter and Challenges: Review
Ruba Alhejaili, Wael M. S. Yafooz, Abdullah Alsaeedi · 2022 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES) · 2022
The web' content is increasing every day, especially on social media, where all users can express their opinions freely and without restrictions. Accordingly, many negative activities emerged, such as abusive language, racism, and hate speech. Hate speech or abusive language is a manifestation of negative social media that requires tools to detect it. This work provides a comprehensive view of the concepts of abusive language and hate speech. The methods used for detection will also be presented. The paper also reviews previous studies in this field. Finally, the paper recalls the challenges facing the detection of abusive language or hate speech.