The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Being a turker
Abstract
Crowdsourcing is a key current topic in CSCW. We build upon findings of a few qualitative studies of crowdworkers. We conducted an ethnomethodological analysis of publicly available content on Turker Nation, a general forum for Amazon Mechanical Turk (AMT) users. Using forum data we provide novel depth and detail on how the Turker Nation members operate as economic actors, working out which Requesters and jobs are worthwhile to them. We show some of the key ways Turker Nation functions as a community and also look further into Turker-Requester relationships from the Turker perspective -- considering practical, emotional and moral aspects. Finally, following Star and Strauss [25] we analyse Turking as a form of invisible work. We do this to illustrate practical and ethical issues relating to working with Turkers and AMT, and to promote design directions to support Turkers and their relationships with Requesters.
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Citations
Cites
Layers of Silence, Arenas of Voice: The Ecology of Visible and Invisible Work
Star, S. L., & Strauss, A. (1999) · Computer Supported Cooperative Work (CSCW) · doi:10.1023/a:1008651105359 · Cited by 1,500
Kittur, A., Nickerson, J. V., Bernstein, M., Gerber, E., Shaw, A., Zimmerman, J., Lease, M., & Horton, J. (2013) · Proceedings of the 2013 conference on Computer supported cooperative work · doi:10.1145/2441776.2441923 · Cited by 1,034 · cited 2×
“To date much of the research on AMT takes the employers’ perspective, e.g. [14, 15, 17, 18], and this has in turn been highlighted [6, 16].”
Cited by
Conducting Clinical Research Using Crowdsourced Convenience Samples
Chandler, J., & Shapiro, D. (2016) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-021815-093623 · Cited by 1,072
Working with Machines: The Impact of Algorithmic and Data-Driven Management on Human Workers
Lee, M. K., Kusbit, D., Metsky, E., & Dabbish, L. (2015) · Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems · doi:10.1145/2702123.2702548 · Cited by 823
“Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI
Sambasivan, N., Kapania, S., Highfill, H., Akrong, D., Paritosh, P., & Aroyo, L. M. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445518 · Cited by 781
A Data-Driven Analysis of Workers' Earnings on Amazon Mechanical Turk
Hara, K., Adams, A., Milland, K., Savage, S., Callison-Burch, C., & Bigham, J. P. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3174023 · Cited by 497
Kuhn, K. M., & Maleki, A. (2017) · Academy of Management Perspectives · doi:10.5465/amp.2015.0111 · Cited by 430
Metadata
- Authors
- Martin, D., Hanrahan, B. V., O'Neill, J., & Gupta, N.
- Venue
- Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
- Publisher
- ACM
- Published
- 2014-02-15
- Pages
- 224-235
- OpenAlex
- W2007018772
- Cited by
- 278
- References
- 2
- FWCI
- 20.16
- Type
- conference paper
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
