Skip to main content
Article
Using Crowdsourcing Websites for Sociological Research: The Case of Amazon Mechanical Turk
American Sociologist
  • Daniel Burton Shank, Missouri University of Science and Technology
Abstract

Amazon Mechanical Turk, an online marketplace designed for crowdsourcing tasks to other people for compensation, is growing in popularity as a platform for gathering research data within the social sciences. Sociology, compared to some other social sciences, has not been as quick to adopt this form of data collection. Therefore, in this paper I overview the basics of Mechanical Turk research and suggest its pros and cons, both in general and in relation to different sociological data-collection methods and research needs. While Mechanical Turk is currently the most popular crowdsourcing website for research, I present general concepts, patterns, and suggestions that can be applied beyond Mechanical Turk to other crowdsourcing and online research.

Department(s)
Psychological Science
Keywords and Phrases
  • Mturk,
  • Online research,
  • Methods,
  • Data collection
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2016 Springer Science+Business Media, All rights reserved.
Publication Date
1-1-2016
Disciplines
Citation Information
Daniel Burton Shank. "Using Crowdsourcing Websites for Sociological Research: The Case of Amazon Mechanical Turk" American Sociologist Vol. 47 (2016) p. 47 - 55 ISSN: 0003-1232
Available at: http://works.bepress.com/daniel-shank/15/