Privacy in Crowdsourcing: a Review of the Threats and Challenges

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dc.contributor.authorXia, Huichuan
dc.contributor.authorMcKernan, Brian
dc.date.accessioned2020-06-13T20:53:42Z
dc.date.available2020-06-13T20:53:42Z
dc.date.issued43983
dc.description.abstractCrowdsourcing platforms such as Amazon Mechanical Turk (MTurk) are popular and widely used in both academic and non-academic realms, but privacy threats and challenges in crowdsourcing have not been extensively reviewed. To help push the field forward in important new directions, this paper first reviews the privacy threats in different types of crowdsourcing based on Solove’s taxonomy of privacy and Brabham’s typology of crowdsourcing. Then, the paper explores the privacy challenges associated with the characteristics of crowdsourcing task, platform, requesters, and crowd workers. These privacy challenges are discussed and categorized into both theoretical and practical challenges. Based on the review and discussion, this paper proposes a set of strategies to better understand and address many of the privacy threats and challenges in crowdsourcing. Finally, the paper concludes by suggesting research implications for the future work.de
dc.identifier.doi10.1007/s10606-020-09374-0
dc.identifier.pissn1573-7551
dc.identifier.urihttps://doi.org/10.1007/s10606-020-09374-0
dc.identifier.urihttps://dl.eusset.eu/handle/20.500.12015/4056
dc.publisherSpringer
dc.relation.ispartofComputer Supported Cooperative Work (CSCW): Vol. 29, No. 3
dc.relation.ispartofseriesComputer Supported Cooperative Work (CSCW)
dc.subjectCrowdsourcing
dc.subjectPrivacy threats
dc.subjectPrivacy challenges
dc.subjectPrivacy protection
dc.subjectAmazon Mechanical Turk (MTurk)
dc.titlePrivacy in Crowdsourcing: a Review of the Threats and Challengesde
dc.typeText/Journal Article
gi.citation.endPage301
gi.citation.startPage263

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JCSCW Vol. 29 (2020)