UA-HSD-2025: Multi-Lingual Hate Speech Detection from Tweets Using Pre-Trained Transformers

The rise in social media has improved communication but also amplified the spread of hate speech, creating serious societal risks. Automated detection remains difficult due to subjectivity, linguistic diversity, and implicit language. While prior research focuses on high-resource languages, this stu...

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Bibliographic Details
Main Authors: Muhammad Ahmad, Muhammad Waqas, Ameer Hamza, Sardar Usman, Ildar Batyrshin, Grigori Sidorov
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Computers
Subjects:
Online Access:https://www.mdpi.com/2073-431X/14/6/239
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