Turkers of the World Unite: Multilevel In-Group Bias Among Crowdworkers on Amazon Mechanical Turk
Name
1948550619837002.pdf
Description
Published version
Size
355.68 KB
Format
Adobe PDF
Checksum (MD5)
2ace966afa566820157f9e822d0a28b5
Author(s)
Almaatouq, Abdullah
Krafft, Peter
Dunham, Yarrow
Rand, David G
Pentland, Alex
Date Issued
2020
Journal
Social Psychological and Personality Science
Publisher
SAGE Publications
Version
Final published version
Abstract
© The Author(s) 2019. Crowdsourcing has become an indispensable tool in the behavioral sciences. Often, the “crowd” is considered a black box for gathering impersonal but generalizable data. Researchers sometimes seem to forget that crowdworkers are people with social contexts, unique personalities, and lives. To test this possibility, we measure how crowdworkers (N = 2,337, preregistered) share a monetary endowment in a Dictator Game with another Mechanical Turk (MTurk) worker, a worker from another crowdworking platform, or a randomly selected stranger. Results indicate preferential in-group treatment for MTurk workers in particular and for crowdworkers in general. Cooperation levels from typical anonymous economic games on MTurk are not a good proxy for anonymous interactions and may generalize most readily only to the intragroup context.
MIT Department
Sloan School of Management
Massachusetts Institute of Technology. Media Laboratory
Massachusetts Institute of Technology. Institute for Data, Systems, and Society
Terms of Use
Creative Commons Attribution NonCommercial License 4.0
Persistent DSpace Link
DOI of Published Version
10.1177/1948550619837002
