Deep learning for hate speech detection

Errui Zhang

doi:10.1117/12.2628010

22 April 2022 Deep learning for hate speech detection

Errui Zhang

Proceedings Volume 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021); 1216346 (2022) https://doi.org/10.1117/12.2628010
Event: International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 2021, Nanjing, China

Abstract

With the rapid growth of the Internet, more and more people use online social media. Hence, hate speech becomes rampant in social media, and it is important to classify the hate speech and control it before it spreads. With the introduction and the development of deep learning, hate speech detection becomes practice. Many studies utilize data from social platforms such as Twitter and Facebook together with machine learning or deep learning technologies to detect and recognize hate speech. However, there are not enough reviews about this area. Hence, this paper aims to provide a review of using machine learning and deep learning for hate speech detection.

Citation Download Citation

Errui Zhang "Deep learning for hate speech detection", Proc. SPIE 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 1216346 (22 April 2022); https://doi.org/10.1117/12.2628010

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