HateDetector: Multilingual technique for the analysis and detection of online hate speech in social networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16598-x.pdf
Reference53 articles.
1. Dinakar K, Reichart R, Lieberman H (2021) Modeling the Detection of Textual Cyberbullying. Proceedings of the International AAAI Conference on Web and Social Media 5(3):11–17. https://doi.org/10.1609/icwsm.v5i3.14209
2. Zhang Z, Luo L (2019) Hate speech detection: A solved problem? The challenging case of long tail on Twitter. Semant Web 10(2019):925–945
3. Pereira-Kohatsu JC, Quijano-Sánchez L, Liberatore F, Camacho-Collados M (2019) Detecting and monitoring hate speech in twitter. Sensors (Switzerland) 19(21):1–37. https://doi.org/10.3390/s19214654
4. Guiora A, Park EA (2017) Hate Speech on Social Media. Philos (United States) 45(3):957–971. https://doi.org/10.1007/s11406-017-9858-4
5. Corazza M, Menini S, Cabrio E, Tonelli S, Villata S (2020) A Multilingual Evaluation for Online Hate Speech Detection. ACM Trans Internet Technol 20(2). https://doi.org/10.1145/3377323
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