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dc.contributor.authorJahanbakhsh, Farnaz
dc.contributor.authorCranshaw, Justin
dc.contributor.authorCounts, Scott
dc.contributor.authorLasecki, Walter
dc.contributor.authorInkpen, Kori
dc.date.accessioned2022-10-04T13:01:22Z
dc.date.available2022-10-04T13:01:22Z
dc.date.issued2020-04-21
dc.identifier.isbn978-1-4503-6708-0
dc.identifier.urihttps://hdl.handle.net/1721.1/145659
dc.publisherACM|CHI Conference on Human Factors in Computing Systems USBen_US
dc.relation.isversionofhttps://doi.org/10.1145/3313831.3376860en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceACM|CHI Conference on Human Factors in Computing Systems USBen_US
dc.titleAn Experimental Study of Bias in Platform Worker Ratings: The Role of Performance Quality and Genderen_US
dc.typeArticleen_US
dc.identifier.citationJahanbakhsh, Farnaz, Cranshaw, Justin, Counts, Scott, Lasecki, Walter and Inkpen, Kori. 2020. "An Experimental Study of Bias in Platform Worker Ratings: The Role of Performance Quality and Gender."
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.identifier.mitlicensePUBLISHER_POLICY
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-10-04T07:47:19Z
dc.language.rfc3066en
dc.rights.holderACM
dspace.date.submission2022-10-04T07:47:19Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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