Hate Speech Detection with Generalizable Target-aware Fairness
Author:
Affiliation:
1. The University of Queensland, Brisbane, Australia
Funder
Australian Research Council
Swiss National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3637528.3671821
Reference72 articles.
1. Pinkesh Badjatiya Manish Gupta and Vasudeva Varma. 2019. Stereotypical bias removal for hate speech detection task using knowledge-based generalizations. In WWW. 49--59.
2. Parikshit Bansal and Amit Sharma. 2023. Controlling Learned Effects to Reduce Spurious Correlations in Text Classifiers. ACL (2023), 2271--2287.
3. Aashish Bhandari Siddhant B Shah Surendrabikram Thapa Usman Naseem and Mehwish Nasim. 2023. CrisisHateMM: Multimodal Analysis of Directed and Undirected Hate Speech in Text-Embedded Images From Russia-Ukraine Conflict. In CVPR. 1993--2002.
4. Kush Bhatia, Himanshu Jain, Purushottam Kar, Manik Varma, and Prateek Jain. 2015. Sparse local embeddings for extreme multi-label classification. NeurIPS, Vol. 28 (2015).
5. Tom Bourgeade Patricia Chiril Farah Benamara and Véronique Moriceau. 2023. What Did You Learn To Hate? A Topic-Oriented Analysis of Generalization in Hate Speech Detection. In EACL. 3477--3490.
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