Maarten Sap, Swabha Swayamdipta, Laura Vianna, Xuhui Zhou, Yejin Choi, Noah A. Smith. Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection. In Marine Carpuat, Marie-Catherine de Marneffe, Iván Vladimir Meza Ruíz, editors, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022, Seattle, WA, United States, July 10-15, 2022. pages 5884-5906, Association for Computational Linguistics, 2022. [doi]
@inproceedings{SapSVZCS22,
title = {Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection},
author = {Maarten Sap and Swabha Swayamdipta and Laura Vianna and Xuhui Zhou and Yejin Choi and Noah A. Smith},
year = {2022},
url = {https://aclanthology.org/2022.naacl-main.431},
researchr = {https://researchr.org/publication/SapSVZCS22},
cites = {0},
citedby = {0},
pages = {5884-5906},
booktitle = {Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2022, Seattle, WA, United States, July 10-15, 2022},
editor = {Marine Carpuat and Marie-Catherine de Marneffe and Iván Vladimir Meza Ruíz},
publisher = {Association for Computational Linguistics},
isbn = {978-1-955917-71-1},
}