15 Pages Posted: 9 Mar 2013
Date Written: March 6, 2013
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.
Keywords: crowdsourcing, human computation, privacy, regulation
Suggested Citation: Suggested Citation
Lease, Matthew and Hullman, Jessica and Bigham, Jeffrey P. and Bernstein, Michael S. and Kim, Juho and Lasecki, Walter and Bakhshi, Saeideh and Mitra, Tanushree and Miller, Robert C., Mechanical Turk is Not Anonymous (March 6, 2013). Available at SSRN: https://ssrn.com/abstract=2228728 or http://dx.doi.org/10.2139/ssrn.2228728