Using Visibility to Control Collective Attention in Crowdsourcing

Authors

  • Kristina Lerman University of Southern California Information Sciences Institute
  • Tad Hogg Institute for Molecular Manufacturing

DOI:

https://doi.org/10.1609/hcomp.v1i1.13098

Keywords:

Amazon Mechanical Turk, AMT, crowdsourcing

Abstract

Online crowdsourcing provides new opportunities for ordinary people to create original content. This has led to a rapidly growing volume of user-generated content, and consequently a challenge to readily identify high quality items. Due to people’s limited attention, the presentation of content strongly affects how people al- locate effort to the available content. We evaluate this effect experimentally using Amazon Mechanical Turk and show that it is possible to manipulate attention to accomplish desired goals.

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Published

2013-11-03

How to Cite

Lerman, K., & Hogg, T. (2013). Using Visibility to Control Collective Attention in Crowdsourcing. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 1(1), 42-43. https://doi.org/10.1609/hcomp.v1i1.13098