Skip to main content

Optimal Crowdsourcing Contests

  • Living reference work entry
  • First Online:
Encyclopedia of Algorithms

Years and Authors of Summarized Original Work

2012; Chawla, Hartline, Sivan

Problem Definition

With the ever-increasing reach of the Internet, crowdsourcing contests have become an increasingly convenient alternative for completing tasks, compared to traditional hire-and-pay methods. There are several websites dedicated to providing users a platform for creating their own crowdsourcing contests. For instance, Taskcn.com allows users to post tasks, collect submissions from registered users, and provide a monetary reward to the best submission. The reach of crowdsourcing is far beyond tedious/labor-intensive tasks. Netflix, for instance, issued a million-dollar contest for developing a collaborative filtering algorithm to predict user ratings for films, instead of hiring an in-house research team to develop this. The Indian Government used a crowdsourcing contest to pick a new symbol for its rupee currency.

The Questions

In designing a crowdsourcing contest, a principal, with a...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Recommended Reading

  1. Archak N, Sundararajan A (2009) Optimal design of crowdsourcing contests. In: International conference on information systems (ICIS), Phoenix

    Google Scholar 

  2. Chawla S, Hartline JD (2013) Auctions with unique equilibria. In: Proceedings of the fourteenth ACM conference on electronic commerce (EC ’13), New York. ACM, pp 181–196

    Google Scholar 

  3. Chawla S, Hartline JD, Sivan B (2012) Optimal crowdsourcing contests. In: SODA, Kyoto, pp 856–868

    Google Scholar 

  4. DiPalantino D, Vojnovic M (2009) Crowdsourcing and all-pay auctions. In: Proceedings of the 10th ACM conference on electronic commerce (EC ’09), Stanford, pp 119–128

    Google Scholar 

  5. Minor D (2011) Increasing effort through rewarding the best less. Mansucript. http://www.kellogg.northwestern.edu/faculty/minor/Papers/Increasing%20Effort%20%28with%20Figures%29.pdf

  6. Moldovanu B, Sela A (2001) The optimal allocation of prizes in contests. Am Econ Rev 91(3):542–558

    Google Scholar 

  7. Moldovanu B, Sela A (2006) Contest architecture. J Econ Theory 126(1):70–97

    Google Scholar 

  8. Myerson R (1981) Optimal auction design. Math Oper Res 6:58–73

    Google Scholar 

  9. Yang J, Adamic LA, Ackerman MS (2008) Crowdsourcing and knowledge sharing: strategic user behavior on taskcn. In: Proceedings of the 9th ACM conference on electronic commerce (EC ’08), Chicago, pp 246–255

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Balasubramanian Sivan .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media New York

About this entry

Cite this entry

Sivan, B. (2014). Optimal Crowdsourcing Contests. In: Kao, MY. (eds) Encyclopedia of Algorithms. Springer, Boston, MA. https://doi.org/10.1007/978-3-642-27848-8_757-1

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-27848-8_757-1

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, Boston, MA

  • Online ISBN: 978-3-642-27848-8

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

Publish with us

Policies and ethics