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Mechanical Turk is Not AnonymousMatthew LeaseUniversity of Texas at Austin Jessica HullmanUniversity of Michigan Jeffrey P. BighamUniversity of Rochester Michael S. BernsteinStanford University Juho KimMIT CSAIL Walter LaseckiUniversity of Rochester Saeideh BakhshiGeorgia Institute of Technology Tanushree MitraGeorgia Institute of Technology Robert C. MillerMIT CSAIL March 6, 2013 Abstract: While Amazon's Mechanical Turk (AMT) online workforce has been characterized by many people as being anonymous, we expose an aspect of AMT's system design that can be exploited to reveal a surprising amount of information about many AMT Workers, which may include personally identifying information (PII). This risk of PII exposure may surprise many Workers and Requesters today, as well as impact current institutional review board (IRB) oversight of human subjects research involving AMT Workers as participants. We assess the potential multi-faceted impact of such PII exposure for each stakeholder group: Workers, Requesters, and AMT itself. We discuss potential remedies each group may explore, as well as the responsibility of each group with regard to privacy protection. This discussion leads us to further situate issues of crowd worker privacy amidst broader ethical, economic, and regulatory issues, and we conclude by offering a set of recommendations to each stakeholder group.
Number of Pages in PDF File: 15 Keywords: crowdsourcing, human computation, privacy, regulation working papers seriesDate posted: March 9, 2013Suggested CitationContact Information
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