Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk
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Summary
It is shown that respondents recruited in this manner are often more representative of the U.S. population than in-person convenience samples but less representative than subjects in Internet-based panels or national probability samples.
- Type
- article
- Published
- 2012-03-02
- Cited by
- 4,031
- References
- 43
- Access
- Open access
- OpenAlex
- https://openalex.org/W2119298903
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:39503397
Keywords
Replicate, Amazon rainforest, Sample (material), Population, Computer science
References
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- Evaluating framing effects
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- Making Sense of Issues Through Media Frames: Understanding the Kosovo Crisis
- Looking Like a Winner: Candidate Appearance and Electoral Success in New Democracies
- The framing of decisions and the psychology of choice.
- The labor economics of paid crowdsourcing
- Running experiments on Amazon Mechanical Turk
- Who are the crowdworkers?: shifting demographics in mechanical turk
- Modeling Heterogeneous Treatment Effects in Survey Experiments with Bayesian Additive Regression Trees
- The Framing of Decisions: A New Look at Old Problems
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- Knowledge of congenital cytomegalovirus (cCMV) among physical and occupational therapists in the United States
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- Breaking Boundaries| When Parody and Reality Collide: Examining the Effects of Colbert’s Super PAC Satire on Issue Knowledge and Policy Engagement across Media Formats
- What Theories of Political Participation Can Teach Us about the Blogosphere, and Vice Versa.
- Prospects for Online Crowdsourcing of Social Science Research Tasks: A Case Study Using Amazon Mechanical Turk
- Harnessing complexity: Analysis methodology and ethical framework to facilitate utilization of video data in evaluations
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