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[conference paper]

dc.contributor.authorHannák, Anikóde
dc.contributor.authorWagner, Claudiade
dc.contributor.authorGarcia, Davidde
dc.contributor.authorMislove, Alande
dc.contributor.authorStrohmaier, Markusde
dc.contributor.authorWilson, Christode
dc.date.accessioned2020-07-13T14:52:28Z
dc.date.available2020-07-13T14:52:28Z
dc.date.issued2017de
dc.identifier.isbn978-1-4503-4335-0de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/68409
dc.description.abstractOnline freelancing marketplaces have grown quickly in recent years. In theory, these sites offer workers the ability to earn money without the obligations and potential social biases associated with traditional employment frameworks. In this paper, we study whether two prominent online freelance marketplaces - TaskRabbit and Fiverr - are impacted by racial and gender bias. From these two platforms, we collect 13,500 worker profiles and gather information about workers' gender, race, customer reviews, ratings, and positions in search rankings. In both marketplaces, we find evidence of bias: we find that gender and race are significantly correlated with worker evaluations, which could harm the employment opportunities afforded to the workers. We hope that our study fuels more research on the presence and implications of discrimination in online environments.de
dc.languageende
dc.subject.ddcWirtschaftde
dc.subject.ddcEconomicsen
dc.subject.ddcPublizistische Medien, Journalismus,Verlagswesende
dc.subject.ddcNews media, journalism, publishingen
dc.titleBias in Online Freelance Marketplaces: Evidence from TaskRabbit and Fiverrde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.collectionCSCW'17: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computingde
dc.publisher.countryUSA
dc.publisher.cityNew York, NYde
dc.subject.classozArbeitsmarktforschungde
dc.subject.classozLabor Market Researchen
dc.subject.classozinteraktive, elektronische Mediende
dc.subject.classozInteractive, electronic Mediaen
dc.subject.thesozArbeitsvermittlungde
dc.subject.thesozemployment serviceen
dc.subject.thesozDienstleistungde
dc.subject.thesozserviceen
dc.subject.thesozDigitalisierungde
dc.subject.thesozdigitalizationen
dc.subject.thesozArbeitsangebotde
dc.subject.thesozlabor supplyen
dc.subject.thesozArbeitsnachfragede
dc.subject.thesozjob demanden
dc.subject.thesozfreier Berufde
dc.subject.thesozprofessionen
dc.subject.thesozInternetde
dc.subject.thesozInterneten
dc.subject.thesozVorurteilde
dc.subject.thesozprejudiceen
dc.subject.thesozgeschlechtsspezifische Faktorende
dc.subject.thesozgender-specific factorsen
dc.subject.thesozRassismusde
dc.subject.thesozracismen
dc.subject.thesozDiskriminierungde
dc.subject.thesozdiscriminationen
dc.identifier.urnurn:nbn:de:0168-ssoar-68409-3
dc.rights.licenceDeposit Licence - Keine Weiterverbreitung, keine Bearbeitungde
dc.rights.licenceDeposit Licence - No Redistribution, No Modificationsen
ssoar.contributor.institutionGESISde
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10036635
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internal.identifier.thesoz10035587
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dc.type.stockincollectionde
dc.type.documentKonferenzbeitragde
dc.type.documentconference paperen
dc.source.pageinfo1914-1933de
internal.identifier.classoz20101
internal.identifier.classoz1080404
internal.identifier.document16
dc.contributor.corporateeditorAssociation for Computing Machinery (ACM)
dc.source.conferenceACM Conference on Computer Supported Cooperative Work and Social Computingde
dc.event.cityPortland, ORde
internal.identifier.corporateeditor689
internal.identifier.ddc330
internal.identifier.ddc070
dc.identifier.doihttps://doi.org/10.1145/2998181.2998327de
dc.date.conference2017de
dc.source.conferencenumber20de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence3
internal.identifier.pubstatus1
internal.identifier.review1
ssoar.wgl.collectiontruede
internal.pdf.wellformedtrue
internal.pdf.encryptedfalse


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