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Turking in the time of COVID
Name
13428_2021_1588_ReferencePDF.pdf
Size
864.4 KB
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Unknown
Checksum (MD5)
865f9febf5f1d86dc68b71f9dee96484
Author(s)
Arechar, Antonio A.
Rand, David Gertler
Date Issued
May 7, 2021
Journal
Behavior research methods
Publisher
Springer US
Citation
Arechar, Antonio A. and Rand, David G. 2021. "Turking in the time of COVID."
Version
Author's final manuscript
Abstract
Abstract
On March 16, 2020, the US Government introduced strict social distancing protocols for the United States in an effort to stem the spread of the COVID-19 pandemic. This had an immediate major effect on the job market, with millions of Americans forced to find alternative ways to make a living from home. As online labor markets like Amazon Mechanical Turk (MTurk) play a major role in social science research, concerns have been raised that the pandemic may be reducing the diversity of subjects participating in experiments. Here, we investigate this possibility empirically. Specifically, we look at 15,539 responses gathered in 23 studies run on MTurk between February and July 2020, examining the distribution of gender, age, ethnicity, political preference, and analytic cognitive style. We find notable changes on some of the measures following the imposition of nationwide social distancing: participants are more likely to be less reflective (as measured by the Cognitive Reflection Test), and somewhat less likely to be white, Democrats (traditionally over-represented on MTurk), and experienced with MTurk. Most of these differences are explained by an influx of new participants into the MTurk subject pool who are more diverse and representative – but also less attentive – than previous MTurkers.
MIT Department
Sloan School of Management
MIT Institute for Data, Systems, and Society
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.3758/s13428-021-01588-4
