Abstract
The nature of work is changing. As labor increasingly trends to casual work in the emerging gig economy, understanding the broader economic context is crucial to effective engagement with a contingent workforce. Crowdsourcing represents an early manifestation of this fluid, laisser-faire, on-demand workforce. This work analyzes the results of four large-scale surveys of US-based Amazon Mechanical Turk workers recorded over a six-year period, providing comparable measures to national statistics. Our results show that despite unemployment far higher than national levels, crowdworkers are seeing positive shifts in employment status and household income. Our most recent surveys indicate a trend away from full-time-equivalent crowdwork, coupled with a reduction in estimated poverty levels to below national figures. These trends are indicative of an increasingly flexible workforce, able to maximize their opportunities in a rapidly changing national labor market, which may have material impacts on existing models of crowdworker behavior.
Original language | English |
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Title of host publication | CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems |
Publisher | ACM |
ISBN (Electronic) | 9781450359702 |
DOIs | |
Publication status | Published - 2 May 2019 |
Event | 2019 CHI Conference on Human Factors in Computing Systems, CHI 2019 - Glasgow, United Kingdom Duration: 4 May 2019 → 9 May 2019 |
Publication series
Name | Conference on Human Factors in Computing Systems - Proceedings |
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Conference
Conference | 2019 CHI Conference on Human Factors in Computing Systems, CHI 2019 |
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Country/Territory | United Kingdom |
City | Glasgow |
Period | 4/05/19 → 9/05/19 |
Keywords
- Crowdsourcing
- Income
- Poverty
- Unemployment
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Research data supporting "Crowdworker Economics in the Gig Economy"
Jacques, J. (Contributor) & Kristensson, P. O. (Contributor), Apollo Cambridge, 21 Jan 2019
DOI: 10.17863/cam.34827, https://www.repository.cam.ac.uk/1810/288257
Dataset