Using Crowdsourcing Websites for Sociological Research: The Case of Amazon Mechanical Turk

American Sociologist

Volumn 47, Issue 1, 2016, Pages 47-55

  Shank, Daniel B ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

Data collection; Methods; Mturk; Online research

Indexed keywords

EID: 84959125965     PISSN: 00031232     EISSN: None     Source Type: Journal    
DOI: 10.1007/s12108-015-9266-9     Document Type: Article

References (18)

1. Berinsky, A. J., Huber, G. A., & Lenz, G. S. (2012). Evaluating online labor markets for experimental research: amazon.com’s mechanical Turk. Political Analysis, 20(3), 351–368. doi:10.1093/pan/mpr057.
2. Buhrmester, M., Kwang, T., & Gosling, S. D. (2011). Amazon’s mechanical Turk a new source of inexpensive, yet high-quality, data? Perspectives on Psychological Science, 6(1), 3–5.
3. Chandler, D., & Kapelner, A. (2013). Breaking monotony with meaning: motivation in crowdsourcing markets. Journal of Economic Behavior & Organization, 90, 123–133. doi:10.1016/j.jebo.2013.03.003.
4. Crump, M. J., McDonnell, J. V., & Gureckis, T. M. (2013). Evaluating Amazon’s mechanical Turk as a tool for experimental behavioral research. PloS One, 8(3), e57410.
5. Eriksson, K., & Simpson, B. (2010). Emotional reactions to losing explain gender differences in entering a risky lottery. Judgment and Decision Making, 5(3), 159–163.
6. Hart, J. (2014). Did hurricane sandy influence the 2012 US presidential election? Social Science Research, 46, 1–8.
7. Horton, J. J., Rand, D. G., & Zeckhauser, R. J. (2011). The online laboratory: conducting experiments in a real labor market. Experimental Economics, 14(3), 399–425.
8. Hunzaker, M. B. F. (2014). Making sense of misfortune: cultural schemas, victim redefinition, and the perpetuation of stereotypes. Social Psychology Quarterly, 77(2), 166–184. doi:10.1177/0190272514521219.
9. Johnson, M. K., Labouff, J. P., Rowatt, W. C., Patock‐Peckham, J. A., & Carlisle, R. D. (2012). Facets of right-wing authoritarianism mediate the relationship between religious fundamentalism and attitudes toward Arabs and African americans. Journal for the Scientific Study of Religion, 51(1), 128–142.
10. Kuwabara, K., & Sheldon, O. (2012). Temporal dynamics of social exchange and the development of solidarity:“testing the waters” versus “taking a leap of faith”. Social Forces, 91(1), 253–273.
11. Mason, W., & Suri, S. (2012). Conducting behavioral research on Amazon’s mechanical Turk. Behavior Research Methods, 44(1), 1–23.
12. Munsch, C. L., Ridgeway, C. L., & Williams, J. C. (2014). Pluralistic ignorance and the flexibility bias: understanding and mitigating flextime and flexplace bias at work. Work and Occupations, 41(1), 40–62.
13. Oppenheimer, D. M., Meyvis, T., & Davidenko, N. (2009). Instructional manipulation checks: detecting satisficing to increase statistical power. Journal of Experimental Social Psychology, 45(4), 867–872.
14. Paolacci, G., Chandler, J., & Ipeirotis, P. G. (2010). Running experiments on amazon mechanical turk. Judgment and Decision Making, 5(5), 411–419.
15. Rand, D. G. (2012). The promise of mechanical Turk: how online labor markets can help theorists run behavioral experiments. Journal of Theoretical Biology, 299, 172–179. doi:10.1016/j.jtbi.2011.03.004.
16. Ritter, R. S., & Preston, J. L. (2013). Representations of religious words: insights for religious priming research. Journal for the Scientific Study of Religion, 52(3), 494–507.
17. Shepherd, H. (2012). Crowdsourcing. Contexts, 11(2), 10–11.
18. Simpson, B., Harrell, A., & Willer, R. (2013). Hidden paths from morality to cooperation: moral judgments promote trust and trustworthiness. Social Forces, 91(4), 1529–1548.