Enhancing Automated Hate Speech Detection: Addressing Islamophobia and Freedom of Speech in Online Discussions

Author:

Aldreabi Esraa1ORCID,Blackburn Jeremy1ORCID

Affiliation:

1. Computer Science, Binghamton University, Binghamton, NY, United States

Funder

National Science Foundation

Publisher

ACM

Reference21 articles.

1. Cyber Hate Speech on Twitter: An Application of Machine Classification and Statistical Modeling for Policy and Decision Making

2. M. Schmitz, G. Muric, and K. Burghardt, "Quantifying how hateful communities radicalize online users," in 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). IEEE, nov 2022. [Online]. 10.1109%2Fasonam55673.2022.10068644

3. T. Sealy, "Islamophobia: With or without islam?" Religions, vol. 12, no. 6, 2021. [Online]. Available: https://www.mdpi.com/2077-1444/12/6/369

4. M. Belal, G. Ullah, and A. A. Khan, "Islamophobic tweet detection using transfer learning," in 2022 International Conference on Connected Systems & Intelligence (CSI), 2022, pp. 1--9.

5. N. Albadi M. Kurdi and S. Mishra "Are they our brothers? analysis and detection of religious hate speech in the arabic twittersphere " in 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) 2018 pp. 69--76.

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