A Large Language Model Approach to Detect Hate Speech in Political Discourse Using Multiple Language Corpora-Reference-Cited by-同舟云学术

A Large Language Model Approach to Detect Hate Speech in Political Discourse Using Multiple Language Corpora

Published:2024-04-08 Issue: Volume:92 Page:1461-1468
ISSN:
Container-title:Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing
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Author:

De Oliveira Aillkeen Bezerra¹^ORCID,Baptista Claudio de Souza¹^ORCID,Firmino Anderson Almeida¹^ORCID,De Paiva Anselmo Cardoso²^ORCID

Affiliation:

1. Federal University of Campina Grande, Campina Grande, Paraíba, Brazil

2. Federal University of Maranhao, São Luíz, Maranhão, Brazil

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3605098.3635964

Reference33 articles.

1. OpenAI [n. d.]. OpenAI. OpenAI. https://openai.com

2. Asai A., Kudugunta S., Yu X. V., Blevins T., Gonen H., and Reid M. et al. 2023. BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer. In arXiv preprint arXiv:2305.14857.

3. Hate versus politics: detection of hate against policy makers in Italian tweets

4. Schioppa A. Garcia X. and Firat O. 2023. Cross-Lingual Supervision improves Large Language Models Pre-training. In arXiv preprint arXiv:2305.11778.

5. I. Bigoulaeva, V. Hangya, and A. Fraser. 2021. Cross-lingual transfer learning for hate speech detection. In in Proceedings of the First Workshop on Language Technology for Equality, Diversity and Inclusion, LT-EDI@EACL 2021, Online, April 19, 2021, Association for Computational Linguistics, 2021, pp. 15--25. URL: https://www.aclweb.org/anthology/2021.ltedi-1.3/.

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1. Enhancing Multilingual Hate Speech Detection: From Language-Specific Insights to Cross-Linguistic Integration;IEEE Access;2024