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Detecting weak and strong Islamophobic hate speech on social media., and . CoRR, (2018)Tackling Racial Bias in Automated Online Hate Detection: Towards Fair and Accurate Classification of Hateful Online Users Using Geometric Deep Learning., , and . CoRR, (2021)SemEval-2023 Task 10: Explainable Detection of Online Sexism., , , and . SemEval@ACL, page 2193-2210. Association for Computational Linguistics, (2023)Dynabench: Rethinking Benchmarking in NLP., , , , , , , , , and 9 other author(s). NAACL-HLT, page 4110-4124. Association for Computational Linguistics, (2021)Improving the Detection of Multilingual Online Attacks with Rich Social Media Data from Singapore., , , , , , and . ACL (1), page 12705-12721. Association for Computational Linguistics, (2023)SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Model Safety., , , and . CoRR, (2024)XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models., , , , , and . CoRR, (2023)Trajectories of Islamophobic hate amongst far right actors on Twitter., , and . CoRR, (2019)Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection., , , and . CoRR, (2020)Tackling racial bias in automated online hate detection: Towards fair and accurate detection of hateful users with geometric deep learning., , and . EPJ Data Sci., 11 (1): 8 (2022)