Abstract

Amazon’s Mechanical Turk (MTurk) is a relatively new website that contains the major elements required to conduct research: an integrated participant compensation system; a large participant pool; and a streamlined process of study design, participant recruitment, and data collection. In this article, we describe and evaluate the potential contributions of MTurk to psychology and other social sciences. Findings indicate that (a) MTurk participants are slightly more demographically diverse than are standard Internet samples and are significantly more diverse than typical American college samples; (b) participation is affected by compensation rate and task length, but participants can still be recruited rapidly and inexpensively; (c) realistic compensation rates do not affect data quality; and (d) the data obtained are at least as reliable as those obtained via traditional methods. Overall, MTurk can be used to obtain high-quality data inexpensively and rapidly.

Keywords

Amazon rainforestCompensation (psychology)Data collectionTask (project management)Affect (linguistics)The InternetPsychologyQuality (philosophy)Computer scienceData qualityData scienceApplied psychologyWorld Wide WebSocial psychologyStatisticsEngineeringBiologyOperations management

Affiliated Institutions

Related Publications

A Tool for Reviewers

Peer review lies at the core of science and academic life. In one of its most pervasive forms, peer review for the scientific literature is the main mechanism that research jour...

2001 Academic Medicine 27 citations

Publication Info

Year
2011
Type
article
Volume
6
Issue
1
Pages
3-5
Citations
9954
Access
Closed

External Links

Social Impact

Altmetric
PlumX Metrics

Social media, news, blog, policy document mentions

Citation Metrics

9954
OpenAlex

Cite This

Michael D. Buhrmester, Tracy Kwang, Samuel D. Gosling (2011). Amazon's Mechanical Turk. Perspectives on Psychological Science , 6 (1) , 3-5. https://doi.org/10.1177/1745691610393980

Identifiers

DOI
10.1177/1745691610393980