Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection

Sap, Maarten; Swayamdipta, Swabha; Vianna, Laura; Zhou, Xuhui; Choi, Yejin; A. Smith, Noah

doi:10.18653/v1/2022.naacl-main.431

Public

Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection

Shared by NobleBlocks on Jan 1, 2022 • 12:00 AM UTC

Authors:

Maarten Sap

Swabha Swayamdipta

Laura Vianna

Abstract

Maarten Sap, Swabha Swayamdipta, Laura Vianna, Xuhui Zhou, Yejin Choi, Noah Smith. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2022.

Subject

Computer science

Computational linguistics

Linguistics

Research Assistant

AI chat, annotations, notes & similar papers

Finding related papers...

Discussions

(0)

No comments yet

Be the first to share your thoughts!