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Designing incentives for inexpert human raters
Abstract
The emergence of online labor markets makes it far easier to use individual human raters to evaluate materials for data collection and analysis in the social sciences. In this paper, we report the results of an experiment - conducted in an online labor market - that measured the effectiveness of a collection of social and financial incentive schemes for motivating workers to conduct a qualitative, content analysis task. Overall, workers performed better than chance, but results varied considerably depending on task difficulty. We find that treatment conditions which asked workers to prospectively think about the responses of their peers - when combined with financial incentives - produced more accurate performance. Other treatments generally had weak effects on quality. Workers in India performed significantly worse than US workers, regardless of treatment group.
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Cited by
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Chandler, J., & Shapiro, D. (2016) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-021815-093623 · Cited by 1,072
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
Self-citationA location-based incentive mechanism for participatory sensing systems with budget constraints
Jaimes, L. G., Vergara-Laurens, I., & Labrador, M. A. (2012) · 2012 IEEE International Conference on Pervasive Computing and Communications · doi:10.1109/percom.2012.6199855 · Cited by 256
Street-Level Algorithms: A Theory at the Gaps Between Policy and Decisions
Alkhatib, A., & Bernstein, M. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300760 · Cited by 188
Reputation Transferability in Online Labor Markets
Kokkodis, M., & Ipeirotis, P. G. (2016) · Management Science · doi:10.1287/mnsc.2015.2217 · Cited by 166
Metadata
- Authors
- Shaw, A. D., Horton, J. J., & Chen, D. L.
- Venue
- Proceedings of the ACM 2011 conference on Computer supported cooperative work
- Publisher
- ACM
- Published
- 2011-03-19
- Pages
- 275-284
- OpenAlex
- W3121522380
- Cited by
- 236
- References
- 0
- FWCI
- 23.06
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Shaw, A. D., Horton, J. J., & Chen, D. L. (2011). Designing incentives for inexpert human raters. Proceedings of the ACM 2011 conference on Computer supported cooperative work. https://doi.org/10.1145/1958824.1958865
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