(Updated March 4, 2018) This page is in constant update [EDIT: not really] and contains papers, tutorials, and links to other resources for clever experimentation on MTurk.


Excluding MTurk workers who participated in your previous studies: An Excel solution
Gabriele Paolacci (Erasmus University Rotterdam)
Johannes Boegershausen (University of British Columbia)

Selectively Recruiting Participants from Amazon Mechanical Turk Using Qualtrics
Eyal Peer (Br-Ilan University),
Gabriele Paolacci (Erasmus University Rotterdam)
Jesse Chandler (Mathematica Policy Research & University of Michigan)
Pam Mueller (Princeton University)

(Suggested citation: Pe’er, Eyal, Paolacci, Gabriele, Chandler, Jesse and Mueller, Pam, Selectively Recruiting Participants from Amazon Mechanical Turk Using Qualtrics (May 2, 2012). Available at SSRN: or

Emailing workers using Python
Pam Mueller (Princeton University),
Jesse Chandler (Princeton University)

(Suggested citation: Mueller, Pam and Chandler, Jesse, Emailing Workers Using Python (March 3, 2012). Available at SSRN:

Review Article: 

  • Paolacci, G., Chandler, J. (2014). Inside the Turk: Understanding Mechanical Turk as a Participant Pool. Current Directions in Psychological Science, 23(3), 184-188.

(Some) Fundamental articles on MTurk experimentation

Online resources

  • Sid Suri and Winter Mason maintain a wiki about research on AMT and other crowdsourcing platforms.
  • Michael Buhrmester maintains a page about conducting experiments on AMT.
  • Panos Ipeirotis’ blog is often posting about AMT.
  • Dave Rand gave an introductory talk about conducting experiments on AMT.
  • Adam Finkelstein’s course “Crowdsourcing your experiment” refers to many useful resources to run experiments on AMT.
  • Deneme is another blog on experiments on AMT, with a different purpose. It also provides a link to Turkit, a Java/JavaScript API for running iterative tasks on AMT.
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