<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In the article, we describe recent trends in the detection of hate speech and offensive language on social media. We accord from the latest studies and scientific contributions. The article describes current trends and the most used methods in connection with the detection of hate speech and offensive language. At the same time, we focus on the importance of emoticons, hashtags, and swearing in the field of social networks. We point out the topicality of the selected topic, describe the next direction of our work, and suggest possible solutions to current problems in this field of research.</p>
</abstract>

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

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

Department of Electronics and Multimedia Communications, Faculty of Electrical Engineering and Informatics

Acta Electrotechnica et Informatica

This work is licensed under the Creative Commons Attribution 4.0 International License.

In the article, we describe recent trends in the detection of hate speech and offensive language on social media. We accord from the latest studies and...

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

Publié en ligne: 24 janv. 2023

Pages: 18 - 24

Reçu: 30 juin 2022

Accepté: 06 déc. 2022

DOI: https://doi.org/10.2478/aei-2022-0018

Mots clés
BERT, DistilBERT, hate speech, natural language processing, offensive language, social media

© 2022 Zuzana Sokolová et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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

Publié en ligne: 24 janv. 2023

Pages: 18 - 24

Reçu: 30 juin 2022

Accepté: 06 déc. 2022

DOI: https://doi.org/10.2478/aei-2022-0018

Mots clésBERT, DistilBERT, hate speech, natural language processing, offensive language, social media

© 2022 Zuzana Sokolová et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
BERT, DistilBERT, hate speech, natural language processing, offensive language, social media