Author List: Deng, Xuefei (Nancy); Joshi, K. D.; Galliers, Robert D.;
MIS Quarterly, 2016, Volume 40, Issue 2, Page 279-302.
Crowdsourcing (CS) of micro tasks is a relatively new, open source work form enabled by information and communication technologies. While anecdotal evidence of its benefits abounds, our understanding of the phenomenon's societal consequences remains limited. Drawing on value sensitive design (VSD), we explore microtask CS as perceived by crowd workers, revealing their values as a means of informing the design of CS platforms. Analyzing detailed narratives of 210 crowd workers participating in Amazon's Mechanical Turk (MTurk), we uncover a set of nine values they share: access, autonomy, fairness, transparency, communication, security, accountability, making an impact, and dignity. We find that these values are implicated in four crowdsourcing structures: compensation, governance, technology, and microtask. Two contrasting perceptionsÑempowerment and marginalizationÑcoexist, forming a duality of microtask CS. The study contributes to the CS and VSD literatures, heightens awareness of worker marginalization in microtask CS, and offers guidelines for improving CS practice. Specifically, we offer recommendations regarding the ethical use of crowd workers (including for academic research), and call for improving MTurk platform design for greater worker empowerment.
Keywords: Crowdsourcing; societal impacts; crowd worker value; ICT ethics; empowerment; marginalization; value sensitive design; open source; AmazonÕs Mechanical Turk; microsourcing; gig economy; on-demand workforce
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#190 0.182 new licensing license open comparison type affiliation perpetual prior address peer question greater compared explore competing crowdsourcing provide choice place
#148 0.137 productivity information technology data production investment output investments impact returns using labor value research results evidence spillovers industries analysis gains
#46 0.115 perceived transparency control design enjoyment experience study diagnosticity improve features develop consequences showing user experiential providing antecedents interface effects economy
#6 0.107 data used develop multiple approaches collection based research classes aspect single literature profiles means crowd collected trend accuracy databases accurate
#158 0.095 capital social ict communication rural icts cognitive society information well-being relational india societal empirically create develop disadvantaged technologies explore china
#103 0.057 exploration climate technology empowerment explore features trying use employees intention examining work intentions exploring autonomy exploitation innovate feature understanding individual
#146 0.051 work people workers environment monitoring performance organizations needs physical useful number personal balance perceptions create computer-based technological technologies investigation achievement