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Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness

dc.contributor.authorAshktorab, Zahra
dc.contributor.authorHoover, Benjamin
dc.contributor.authorAgarwal, Mayank
dc.contributor.authorDugan, Casey
dc.contributor.authorGeyer, Werner
dc.contributor.authorYang, Hao Bang
dc.contributor.authorYurochkin, Mikhail
dc.date.accessioned2023-05-08T18:40:18Z
dc.date.available2023-05-08T18:40:18Z
dc.date.issued2023-04-19
dc.identifier.isbn978-1-4503-9421-5
dc.identifier.urihttps://hdl.handle.net/1721.1/150625
dc.publisherACM|Proceedings of the 2023 CHI Conference on Human Factors in Computing Systemsen_US
dc.relation.isversionofhttps://doi.org/10.1145/3544548.3581227en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceACM|Proceedings of the 2023 CHI Conference on Human Factors in Computing Systemsen_US
dc.titleFairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairnessen_US
dc.typeArticleen_US
dc.identifier.citationAshktorab, Zahra, Hoover, Benjamin, Agarwal, Mayank, Dugan, Casey, Geyer, Werner et al. 2023. "Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness."
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2023-05-01T07:49:36Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2023-05-01T07:49:36Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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