The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
The labor economics of paid crowdsourcing
Open accessAbstract
We present a model of workers supplying labor to paid crowdsourcing projects. We also introduce a novel method for estimating a worker's reservation wage - the key parameter in our labor supply model. We tested our model by presenting experimental subjects with real-effort work scenarios that varied in the offered payment and difficulty. As predicted, subjects worked less when the pay was lower. However, they did not work less when the task was more time-consuming. Interestingly, at least some subjects appear to be "target earners," contrary to the assumptions of the rational model. The strongest evidence for target earning is an observed preference for earning total amounts evenly divisible by 5, presumably because these amounts make good targets. Despite its predictive failures, we calibrate our model with data pooled from both experiments. We find that the reservation wages of our sample are approximately log normally distributed, with a median wage of $1.38/hour. We discuss how to use our calibrated model in applications.
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The Wealth of Networks: How Social Production Transforms Markets and Freedom
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Cheap and fast---but is it good?: evaluating non-expert annotations for natural language tasks
Snow, R., O'Connor, B., Jurafsky, D., & Ng, A. Y. (2008) · Proceedings of the Conference on Empirical Methods in Natural Language Processing - EMNLP '08 · doi:10.3115/1613715.1613751 · Cited by 1,887
(2008) · Cited by 1,657
Labor Supply of New York City Cabdrivers: One Day at a Time
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Get another label? improving data quality and data mining using multiple, noisy labelers
Sheng, V. S., Provost, F., & Ipeirotis, P. G. (2008) · Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/1401890.1401965 · Cited by 1,165
Roth, A. E. (2002) · Econometrica · doi:10.1111/1468-0262.00335 · Cited by 1,004
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Knowledge sharing and yahoo answers: everyone knows something
Adamic, L. A., Zhang, J., Bakshy, E., & Ackerman, M. S. (2008) · Proceedings of the 17th international conference on World Wide Web · doi:10.1145/1367497.1367587 · Cited by 732
Do Workers Work More if Wages Are High? Evidence from a Randomized Field Experiment
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Financial incentives and the "performance of crowds"
Mason, W., & Watts, D. J. (2009) · Proceedings of the ACM SIGKDD Workshop on Human Computation · doi:10.1145/1600150.1600175 · Cited by 520
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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
Inside the Turk: Understanding Mechanical Turk as a Participant Pool
Paolacci, G., & Chandler, J. (2014) · Current Directions in Psychological Science · doi:10.1177/0963721414531598 · Cited by 2,136
Using Mechanical Turk to Study Clinical Populations
Shapiro, D. N., Chandler, J., & Mueller, P. A. (2013) · Clinical Psychological Science · doi:10.1177/2167702612469015 · Cited by 1,139
Conducting Clinical Research Using Crowdsourced Convenience Samples
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
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Metadata
- Authors
- Horton, J. J., & Chilton, L. B.
- Venue
- Proceedings of the 11th ACM conference on Electronic commerce
- Publisher
- ACM
- Published
- 2010-06-07
- Pages
- 209-218
- OpenAlex
- W2103001613
- Cited by
- 601
- References
- 15
- FWCI
- 29.64
- Type
- conference paper
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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