Turkers of the World Unite: Multilevel In-Group Bias Among Crowdworkers on Amazon Mechanical Turk
© 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,...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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SAGE Publications
2021
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| Online Access: | https://hdl.handle.net/1721.1/134794 |
| _version_ | 1826217807315992576 |
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| author | Almaatouq, Abdullah Krafft, Peter Dunham, Yarrow Rand, David G Pentland, Alex |
| author2 | Sloan School of Management |
| author_facet | Sloan School of Management Almaatouq, Abdullah Krafft, Peter Dunham, Yarrow Rand, David G Pentland, Alex |
| author_sort | Almaatouq, Abdullah |
| collection | MIT |
| description | © 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. |
| first_indexed | 2024-09-23T17:09:28Z |
| format | Article |
| id | mit-1721.1/134794 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T17:09:28Z |
| publishDate | 2021 |
| publisher | SAGE Publications |
| record_format | dspace |
| spelling | mit-1721.1/1347942023-01-11T19:50:25Z Turkers of the World Unite: Multilevel In-Group Bias Among Crowdworkers on Amazon Mechanical Turk Almaatouq, Abdullah Krafft, Peter Dunham, Yarrow Rand, David G Pentland, Alex Sloan School of Management Massachusetts Institute of Technology. Media Laboratory Massachusetts Institute of Technology. Institute for Data, Systems, and Society © 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. 2021-10-27T20:09:12Z 2021-10-27T20:09:12Z 2020 2019-07-26T18:02:39Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/134794 en 10.1177/1948550619837002 Social Psychological and Personality Science Creative Commons Attribution NonCommercial License 4.0 https://creativecommons.org/licenses/by-nc/4.0/ application/pdf SAGE Publications Sage |
| spellingShingle | Almaatouq, Abdullah Krafft, Peter Dunham, Yarrow Rand, David G Pentland, Alex Turkers of the World Unite: Multilevel In-Group Bias Among Crowdworkers on Amazon Mechanical Turk |
| title | Turkers of the World Unite: Multilevel In-Group Bias Among Crowdworkers on Amazon Mechanical Turk |
| title_full | Turkers of the World Unite: Multilevel In-Group Bias Among Crowdworkers on Amazon Mechanical Turk |
| title_fullStr | Turkers of the World Unite: Multilevel In-Group Bias Among Crowdworkers on Amazon Mechanical Turk |
| title_full_unstemmed | Turkers of the World Unite: Multilevel In-Group Bias Among Crowdworkers on Amazon Mechanical Turk |
| title_short | Turkers of the World Unite: Multilevel In-Group Bias Among Crowdworkers on Amazon Mechanical Turk |
| title_sort | turkers of the world unite multilevel in group bias among crowdworkers on amazon mechanical turk |
| url | https://hdl.handle.net/1721.1/134794 |
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