Review of Recent Trends in the Detection of Hate Speech and Offensive Language on Social Media

Zuzana Sokolová, Ján Staš, Jozef Juhár

Review of Recent Trends in the Detection of Hate Speech and Offensive Language on Social Media

Číslo: 4/2022
Periodikum: Acta Electrotechnica et Informatica
DOI: 10.2478/aei-2022-0018

Klíčová slova: BERT, DistilBERT, hate speech, natural language processing, offensive language, social media

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Anotace: In the article, we describe recent trends in the detection of hate speech and offensive language on social media. We accord fromthe latest studies and scientific contributions. The article describes current trends and the most used methods in connection with thedetection of hate speech and offensive language. At the same time, we focus on the importance of emoticons, hashtags, and swearingin the field of social networks. We point out the topicality of the selected topic, describe the next direction of our work, and suggestpossible solutions to current problems in this field of research