Review of Recent Trends in the Detection of Hate Speech and Offensive Language on Social Media
Year: 2022
Type: article
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.
Authors: Zuzana Sokolová, Ján Staš, Jozef Juhár
Institution: Technical University of Košice
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
Awards: Automatické titulkovanie audiovizuálneho obsahu pre osoby so sluchovým postihnutím, G1270740909, G1406300998, G474832727, G5205971877, G6188538048, Robustné rečové technológie metódami hlbokého učenia, Technológie pre podporu generovania odpovede pre viacjazyčného inteligentného agenta, G791075710, Technológie automatického spracovania reči na pomoc v krízových situáciách
OpenAlex ID: W4389495513