The labor economics of paid crowdsourcing

Proceedings of the ACM Conference on Electronic Commerce

Volumn , Issue , 2010, Pages 209-218

  Horton, John Joseph ^a   Chilton, Lydia B ^b  

^a HARVARD UNIVERSITY   (United States)

^b UNIVERSITY OF WASHINGTON   (United States)

Author keywords

amazon's mechanical turk; crowdsourcing; human computation

Indexed keywords

CALIBRATED MODEL; HUMAN COMPUTATION; KEY PARAMETERS; LABOR SUPPLY; NOVEL METHODS; RATIONAL MODELS;

ECONOMICS; ELECTRONIC COMMERCE; EMPLOYMENT; TARGETS; WAGES;

NORMAL DISTRIBUTION;

EID: 77954742475     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1807342.1807376     Document Type: Conference Paper

References (22)

1. L. A. Adamic, J. Zhang, E. Bakshy, and M. S. Ackerman. Knowledge sharing and Yahoo Answers: Everyone knows something. In Proc. 17th Intl. Conf. on the World Wide Web (WWW), 2008.
2. Y. Benkler. The Wealth of Networks: How Social Production Transforms Markets and Freedom. Yale University Press, 2007.
3. C. Camerer, L. Babcock, G. Loewenstein, and R. Thaler. Labor supply of New York City cabdrivers: One day at a time. The Quarterly Journal of Economics, 112(2):407-441, 1997. (Pubitemid 28004308)
4. D. L. Chen and J. J. Horton. The wages of paycuts: Evidence from a field experiment. Working Paper, 2009.
5. D. DiPalantino and M. Vojnovic. Crowdsourcing and all-pay auctions. In Proc. 10th ACM Conf. on Electronic Commerce (EC), 2009.
6. H. S. Farber. Reference-dependent preferences and labor supply: The case of New York City taxi drivers. American Economic Review, 98(3):1069-1082, 2008.
7. E. Fehr and L. Goette. Do workers work more if wages are high?: Evidence from a randomized field experiment. American Economic Review, 97(1):298-317, 2007.
8. B. Frei. Paid crowdsourcing: Current state & progress toward mainstream business use. Whitepaper Produced by Smartsheet.com, 2009.
9. J. J. Horton, D. G. Rand, and R. J. Zeckhauser. The online laboratory. Working Paper, 2010.
10. J. J. Horton and X. Zhu. The allocation of decision rights in designed markets. Working Paper, 2010.
11. J. Howe. Crowdsourcing: Why the Power of the Crowd is Driving the Future of Business. Three Rivers Press, 2009.
12. B. A. Huberman, D. M. Romero, and F. Wu. Crowdsourcing, attention and productivity. J. Inf. Sci., 35(6):758-765, 2009.
13. S. Jain, Y. Chen, and D. C. Parkes. Designing incentives for online question and answer forums. In Proc. 10th ACM Conf. on Electronic Commerce (EC), pages 129-138, 2009.
14. S. Jain and D. C. Parkes. The role of game theory in human computation systems. In Proc. ACM SIGKDD Workshop on Human Computation (HCOMP), 2009.
15. J. Liebman and R. Zeckhauser. Schmeduling. Working Paper, 2004.
16. R. Lionel. An Essay on the Nature and Significance of Economic Science. London, Macmillan, 1935.
17. W. Mason and D. J. Watts. Financial incentives and the 'performance of crowds'. In Proc. ACM SIGKDD Workshop on Human Computation (HCOMP), 2009.
18. A. E. Roth. The economist as engineer: Game theory, experimentation, and computation as tools for design economics. Econometrica, 70:1341-1378, 2002.
19. V. S. Sheng, F. Provost, and P. G. Ipeirotis. Get another label?: Improving data quality and data mining using multiple, noisy labelers. In Proc. 14th ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining (KDD), 2008.
20. R. Snow, B. O'Connor, D. Jurafsky, and A. Y. Ng. Cheap and fast-but is it good?: evaluating non-expert annotations for natural language tasks. In Proc. Conf. on Empirical Methods in Natural Language Processing (EMNLP), 2008.
21. L. Von Ahn. Games with a purpose. IEEE Computer Magazine, 39(6):96-98, 2006.
22. H. Wickham. ggplot2: An implementation of the grammar of graphics. R package version 0.7, URL: http://CRAN.R-project.org/package=ggplot2, 2008.