Cited by 4,008Mobile Crowdsensing and CrowdsourcingSurvey Methodology and NonresponseNames, Identity, and Discrimination Research

The DOI matches its Crossref record; 37 of the 38 references it cites were found in a registry or an index; none of the 19 sources its claims cite is checked for support yet.

Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk

Open access

Abstract

We examine the trade-offs associated with using Amazon.com's Mechanical Turk (MTurk) interface for subject recruitment. We first describe MTurk and its promise as a vehicle for performing low-cost and easy-to-field experiments. We then assess the internal and external validity of experiments performed using MTurk, employing a framework that can be used to evaluate other subject pools. We first investigate the characteristics of samples drawn from the MTurk population. We show that respondents recruited in this manner are often more representative of the U.S. population than in-person convenience samples—the modal sample in published experimental political science—but less representative than subjects in Internet-based panels or national probability samples. Finally, we replicate important published experimental work using MTurk samples.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

The paper evaluates Amazon Mechanical Turk as a subject pool for political science experiments, comparing MTurk samples with convenience, Internet-panel, and national probability samples and replicating three published experiments. It concludes MTurk is inexpensive and often more representative than in-person convenience samples, though younger and more liberal than the U.S. public, with treatment effects generally similar to original studies.

Key findings

  • The MTurk sample (N = 551, February/March 2010) was 60.1% female, mean age 32.3 years, mean education 14.9 years, 83.5% white, and 40.8% Democratic; compared with ANESP/CPS/ANES benchmarks it was younger, lower income, less likely to be married, own a home, or report a religious affiliation, and more ideologically liberal.
  • Replications produced similar effects: the welfare vs. “assistance to the poor” wording gap was 38 percentage points (p < .001) vs. 44% in the 2010 GSS; the Asian disease problem yielded 74% choosing the certain option in the lives-saved frame vs. 38% in the lives-lost frame (p < .001), compared with 72% vs. 22% in the original student sample; the Kam and Simas risk-frame coefficient was 1.18 in MTurk vs. 1.07 in the original article.
  • Habitual participation was modest: respondents reported a mean of 1.7 political surveys in the last month, 39% took no other survey, and 78% took two or fewer; across seven experiments there were 1,574 unique subjects, 70% participated in only one experiment, 18% in two, and 2% in five or more.
  • Internal-validity checks found 14 of 551 responses (2.4%) came from seven IP addresses with two responses each; on an attention check, 60% of MTurk respondents answered correctly vs. 49% on Polimetrix/YouGov and 46% on SSI. Recruitment cost was low: more than 200 subjects per day at $.25 per survey and over 300 per day at $.50–$.75, with a per-respondent cost of $.55 for a 5-min survey at $.50 including Amazon’s 10% surcharge.

Methods

  • Surveyed 551 MTurk workers in February and March 2010, advertised as about 10 min and paid 50 cents; restricted to U.S. residents aged 18+ with prior approval rates of at least 95%, and excluded 32 respondents (5.8%) who did not take the survey from U.S. IP addresses. Additional MTurk surveys included N = 699 in May 2011 for need-for-cognition/evaluation measures, N = 450 in January 2010 for the Asian disease replication, and N = 329 for the welfare wording experiment.
  • Benchmarked MTurk against convenience samples from APSR, AJPS, and JOP from January 2005 to June 2010 (961 articles, 51 experimental, 44 using U.S. subjects exclusively, more than half using convenience samples), the ANESP Internet panel, CPS 2008, and ANES 2008, using identical question wording where possible.
  • Replicated three experiments (Rasinski welfare wording, Tversky and Kahneman Asian disease, Kam and Simas framing/risk) and used descriptive comparisons, significance tests, ordered probits for heterogeneous treatment effects, and coefficient comparisons.

Limitations

  • Stated: MTurk subjects are notably younger and more ideologically liberal than the public, which may limit suitability for some research topics; they appear to pay more attention to tasks; and as use increases, habitual responding may pose more of an external validity problem. Demand characteristics may also be greater, and future work is needed to assess how serious this is for MTurk.
  • Stated: the MTurk sample does not perfectly match the U.S. population; if treatment effects differ by factors for which MTurk is less representative (e.g., older or more conservative citizens), estimates may be inaccurate for the larger population, and large samples may be needed to estimate subgroup differences.
  • Evident: the sample is restricted to U.S. adults with at least 95% approval rates, so findings may not generalize to all MTurk workers; comparisons rely on unweighted ANESP results and self-reported measures; IP-address checks cannot definitively identify repeat takers, and the paper notes that IP locator accuracy is unbenchmarked.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1093/pan/mpr057

Cites

37 of 37 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

0 of 19 cited sources checked · 0 supported · 0 flagged

Show all 51 claims

  • It may state two separate claims as one. 49
  • The quote only partly states this claim. 1
  • Probably not a substantial claim. 15
57 of 57
  • The paper relies on this without support.

    The 551 MTurk workers surveyed in February and March 2010 are representative of the broader domestic MTurk population.

    “We surveyed 551 MTurk workers in February and March of 2010.”
  • The paper relies on this without support.

    The American National Election 2008-09 Panel Study (ANESP) is a high-quality Internet sample and a valid benchmark for comparing MTurk.

    “we compare MTurk to a high-quality Internet survey, the American National Election 2008-09 Panel Study (ANESP).”
  • The paper relies on this without support.

    The Current Population Survey and the 2008 American National Election Study are the gold standard for survey sampling.

    “These latter two studies use face-to-face probability samples and are widely considered the ''gold standard'' for survey sampling.”
  • The paper relies on this without support.

    The original published experiments used as replication benchmarks provide valid estimates of treatment effects for their samples.

    “we also replicated the results reported in three experiments.”
  • The paper relies on this without support.

    IP address locators accurately identify U.S. residency.

    “although IP address locators seem reliable, we are unaware of research benchmarking their accuracy.”
  • The paper relies on this without support.

    MTurk workers' self-reported demographic and political characteristics are accurate.

    “we compare measured characteristics of MTurk survey participants to characteristics of participants in three distinct types of research samples”
  • The paper relies on this without support.

    The approval rate threshold of 95% selects a sample comparable to the broader MTurk population.

    “We also excluded individuals with approval rates below 95% on previous MTurk tasks.”
  • The paper relies on this without support.

    MTurk workers' self-reported number of political surveys taken in the last month is accurate.

    “To assess the severity of this problem, we asked our respondents how many political surveys they had taken in the last month on MTurk.”
  • The paper relies on this without support.

    The seven MTurk studies examined are representative enough of MTurk experiments to support broader trends about habitual participation.

    “Although this set of experiments represents only a small proportion of those conducted on MTurk, our findings may illuminate broader trends.”
  • The paper relies on this without support.

    Unique MTurk ID numbers identify unique individuals.

    “We gathered the unique MTurk ID number for all workers who participated in each of seven studies we conducted from January 2010 to April 2010.”
  • The paper relies on this without support.

    The multiple-choice political office question is a valid measure of attention to experimental instruments.

    “In a study conducted by one of the authors, subjects were asked to identify the political office held by a person mentioned in a story they had just read.The format of this question was a multiple-choice item with five possible responses.”
  • The paper relies on this without support.

    The GSS welfare/assistance question wording experiment provides a valid benchmark for comparing MTurk treatment effects.

    “We found a statistically significant 38 percentage point gap ( p value < .001) between the two conditions that is similar in magnitude to that found using the GSS (the comparable gap was 44% in the 2010 GSS).”
  • The paper relies on this without support.

    The MTurk and GSS samples are comparable enough to pool in ordered probits testing heterogeneous treatment effects.

    “To conduct these tests, we pooled the MTurk and GSS samples.”
13 of 13

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Replication survey has conflicting field dates

    Minor

    The text identifies the May 2011 survey as containing the Kam and Simas replication, while Table 6 dates that replication survey to May 2010.

  • Reported percentage of responses from shared IP addresses is too low

    Minor

    Fourteen of 551 responses is 2.54%, which rounds to 2.5%, not 2.4%.

    Reported 2.4 · recomputed 2.540835

2 of 2

Citations

Cites

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Show all 38 references

1 of the 38 references couldn’t be matched to a known paper.

Research works printed but not linked: 4

  1. The MTurk platform is of course limited to conducting research that does not require physical interactions between the subject and either the researcher or other subjects (e.g., to gather DNA samples, administer physical interventions, or observe face-to-face interactions among subjects). © The Author 2012. Published by Oxford University Press on behalf of the Society for Political Methodology. All rights reserved. For Permissions, please email: journals.permissions@oup.com Adam J. Berinsky et al.
  2. Ross, 2010, CHI EA 2010
  3. Snow, 2008, Evaluating non-expert annotations for natural language tasks
  4. Sheng, 2008, Get another label?

Cited by

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Metadata

Authors
Berinsky, A. J., Huber, G. A., & Lenz, G. S.
Affiliations
  • Massachusetts Institute of Technology (US)
  • Yale University (US)
  • University of California, Berkeley (US)
Corresponding author
Berinsky, Adam J.
Venue
Political Analysis
Published
2012
Volume
20
Issue
3
Pages
351-368
ISSN
  • 1047-1987 (ISSN-L)
  • 1476-4989
OpenAlex
W2119298903
Cited by
4,008
References
38
Citations by year
2026: 107 · 2025: 134 · 2024: 166 · 2023: 232 · 2022: 361 · 2021: 393 · 2020: 421 · 2019: 443 · 2018: 462 · 2017: 400 · 2016: 312 · 2015: 278 · 2014: 173 · 2013: 93 · 2012: 20
FWCI
290.34
Type
journal article
Language
en
Open access
Locations
  • Political Analysis (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Science Applications › Mobile Crowdsensing and Crowdsourcing
  • Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
  • Social Sciences › Sociology and Political Science › Names, Identity, and Discrimination Research
Keywords
Amazon Mechanical Turk, digital labour markets, participant recruitment, internal validity, generalizability, sample representativeness, convenience samples, replication, online panels, probability samples

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