Skip to main content

Cost and Quality Trade-Offs in Crowdsourcing

  • Reference work entry
  • First Online:
Encyclopedia of Database Systems
  • 58 Accesses

Synonyms

Incentive and performance trade-offs; Payment and quality trade-offs

Definition

In crowdsourcing, some tasks are conducted by the crowd due to enjoyment [8] or social reward [6]. However, arbitrary tasks are seldom enjoyable, and social award is often associated to some specific tasks, such as Wikipedia (https://en.wikipedia.org/wiki/Main_Page) and Stack Overflow (http://stackoverflow.com/). Thus, given an arbitrary task, a requester often needs to offer incentive (i.e., the cost of the task) to motivate workers to conduct the task. The cost per task is often paid in the form of financial compensation, a few cents per task. The quality of a crowdsourcing task is often referred as accuracy. Since the workers are humans, which may make errors when they perform tasks, the results returned by the crowd will have errors as a consequence. The trade-offs between cost and quality refer to the relationships between the financial incentive and the performance.

Historical Background

Wikip...

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 4,499.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 6,499.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Recommended Reading

  1. Ariely D, Gneezy U, Loewenstein G, Mazar N. Large stakes and big mistakes. Rev Econ Stud. 2009;76:451–69.

    Article  MATH  Google Scholar 

  2. Faradani S, Hartmann B, Ipeirotis PG. What’s the right price? Pricing tasks for finishing on time. In: Proceedings of the 2011 AAAI Conference on Artificial Intelligence. 2011. p. 26–31.

    Google Scholar 

  3. Gneezy U, Rustichini A. Pay enough or don’t pay at all. Q J Econ. 2000;115(3):791–810.

    Article  Google Scholar 

  4. Kazai G. An exploration of the influence that task parameters have on the performance of crowds. In: Proceedings of the First International Conference on Crowdsourcing. 2010.

    Google Scholar 

  5. Mason W, Watts DJ. Financial incentives and the performance of crowds. In: ACM SIGKDD human computation. 2009. p. 100–08.

    Google Scholar 

  6. Nov O, Naaman M, Ye C. What drives content tagging: the case of photos on Flickr. In: Proceedings of the ACM Conference on Human Factors in Computing Systems; 2008. p. 1097–1110.

    Google Scholar 

  7. Snow R, O’Connor B, Jurafsky D, Ng AY. Cheap and fast – but is it good?: evaluating non-expert annotations for natural language tasks. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing. 2008. p. 254–63.

    Google Scholar 

  8. von Ahn L. Games with a purpose. Computer. 2006;39(6):92–4.

    Article  Google Scholar 

  9. Xie H, Lui JCS, Jiang JW, Chen W. Incentive mechanism and protocol design for crowdsourcing systems. In: Proceedings of the 2014 Annual Allerton Conference on Communication, Control, and Computing. 2014. p. 140–47.

    Google Scholar 

  10. Xintong G, Hongzhi W, Song Y, Hong G. Brief survey of crowdsourcing for data mining. Expert Syst Appl. 2014;41(17):7987–94.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lei Chen .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Science+Business Media, LLC, part of Springer Nature

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Chen, L. (2018). Cost and Quality Trade-Offs in Crowdsourcing. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_80658

Download citation

Publish with us

Policies and ethics