When Are Crowdsourced Data Truthful, Accurate, and Representative/

  • Liam Brunt
  • Erik Meidell

Abstract

We trace crowdsourcing, as a business strategy to gather information, to Britain in the Industrial Revolution, when it was used to create trade directories. We show that the trade directories’ occupational snapshot was very highly correlated (≈0.99) with the 1851 census – a valuable objective metric of accuracy. Accuracy of modern crowdsourced data is more difficult to judge, but seems somewhat lower;  we make an explicit comparison to Yelp. We rationalize our results by considering:  construction of the sampling frame; incentives of the crowd to report correct
information; disincentives to report incorrect information (cost of contributing, presence of “gatekeepers”); and sampling strategy.

Published
2017-07-01
How to Cite
BRUNT, Liam; MEIDELL, Erik. When Are Crowdsourced Data Truthful, Accurate, and Representative/. The Journal of Business Inquiry, [S.l.], v. 17, n. 1, p. 55-71, july 2017. ISSN 2155-4072. Available at: <http://journals.uvu.edu/index.php/jbi/article/view/123>. Date accessed: 18 feb. 2019.