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Are your participants gaming the system?: screening mechanical turk workers
Abstract
In this paper we discuss a screening process used in conjunction with a survey administered via Amazon.com's Mechanical Turk. We sought an easily implementable method to disqualify those people who participate but don't take the study tasks seriously. By using two previously pilot tested screening questions, we identified 764 of 1,962 people who did not answer conscientiously. Young men seem to be most likely to fail the qualification task. Those that are professionals, students, and non-workers seem to be more likely to take the task seriously than financial workers, hourly workers, and other workers. Men over 30 and women were more likely to answer seriously.
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Cited by
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Hutto, C., & Gilbert, E. (2014) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v8i1.14550 · Cited by 6,087
Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk
Berinsky, A. J., Huber, G. A., & Lenz, G. S. (2012) · Political Analysis · doi:10.1093/pan/mpr057 · Cited by 4,008
Reputation as a sufficient condition for data quality on Amazon Mechanical Turk
Peer, E., Vosgerau, J., & Acquisti, A. (2014) · Behavior Research Methods · doi:10.3758/s13428-013-0434-y · Cited by 1,618
Kittur, A., Nickerson, J. V., Bernstein, M., Gerber, E., Shaw, A., Zimmerman, J., Lease, M., & Horton, J. (2013) · Proceedings of the 2013 conference on Computer supported cooperative work · doi:10.1145/2441776.2441923 · Cited by 1,034
Chandler, J., Mueller, P., & Paolacci, G. (2014) · Behavior Research Methods · doi:10.3758/s13428-013-0365-7 · Cited by 950
Metadata
- Authors
- Downs, J. S., Holbrook, M. B., Sheng, S., & Cranor, L. F.
- Venue
- Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2010-04-10
- Pages
- 2399-2402
- OpenAlex
- W2104749423
- Cited by
- 418
- References
- 0
- FWCI
- 27.61
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Are your participants gaming the system?: screening mechanical turk workers. https://app.cochat.ai/papers/10.1145/1753326.1753688
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- Downs, J. S., Holbrook, M. B., Sheng, S., & Cranor, L. F. (2010). Are your participants gaming the system?: screening mechanical turk workers. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/1753326.1753688
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
