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Article: Relieving Bias in Hate Speech Detection with a Small Number of Expert Annotations: A Prompt-based Learning Approach

TitleRelieving Bias in Hate Speech Detection with a Small Number of Expert Annotations: A Prompt-based Learning Approach
Authors
Wei, DongjunChau, Michael Chiu LungLi, Zhepeng
Issue Date3-Jul-2025
PublisherManagement Information Systems Research Center
Citation
MIS Quarterly, 2025 How to Cite?
DOI: http://dx.doi.org/10.25300/MISQ/2025/18416
Persistent Identifierhttp://hdl.handle.net/10722/357515
ISSN
0276-7783
2023 Impact Factor: 7.0
2023 SCImago Journal Rankings: 4.105

 

DC FieldValueLanguage
dc.contributor.authorWei, Dongjun-
dc.contributor.authorChau, Michael Chiu Lung-
dc.contributor.authorLi, Zhepeng-
dc.date.accessioned2025-07-22T03:13:13Z-
dc.date.available2025-07-22T03:13:13Z-
dc.date.issued2025-07-03-
dc.identifier.citationMIS Quarterly, 2025-
dc.identifier.issn0276-7783-
dc.identifier.urihttp://hdl.handle.net/10722/357515-
dc.languageeng-
dc.publisherManagement Information Systems Research Center-
dc.relation.ispartofMIS Quarterly-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleRelieving Bias in Hate Speech Detection with a Small Number of Expert Annotations: A Prompt-based Learning Approach-
dc.typeArticle-
dc.identifier.doi10.25300/MISQ/2025/18416-
dc.identifier.eissn0276-7783-
dc.identifier.issnl0276-7783-

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