ABSTRACT
Prior research reported that workers on Amazon Mechanical Turk (AMT) are underpaid, earning about $2/h. But the prior research did not investigate the difference in wage due to worker characteristics (e.g., country of residence). We present the first data-driven analysis on wage gap on AMT. Using work log data and demographic data collected via online survey, we analyse the gap in wage due to different factors. We show that there is indeed wage gap; for example, workers in the U.S. earn $3.01/h while those in India earn $1.41/h.
- Abigail Adams and Janine Berg. 2017. When Home Affects Pay: An Analysis of the Gender Pay Gap among Crowdworkers.Google Scholar
- Chris Callison-Burch. 2014. Crowd-workers: Aggregating information across turkers to help them find higher paying work. Second AAAI Conference on Human Computation and Crowdsourcing.Google ScholarCross Ref
- K. Hara, A. Adams, K. Milland, S. Savage, C. Callison-Burch, and J.P. Bigham. 2018. A data-driven analysis of workers' earnings on Amazon Mechanical Turk. Conference on Human Factors in Computing Systems - Proceedings. Google ScholarDigital Library
- Kotaro Hara and Jeffrey. P. J.P. Bigham. 2017. Introducing People with ASD to Crowd Work. Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility, ASSETS 2017. Google ScholarDigital Library
- Seth D. Harris and Alan B. Krueger. 2015. A Proposal for Modernizing Labor Laws for Twenty-First-Century Work: The "Independent Worker".Google Scholar
- Brent Hecht, Lauren Wilcox, Jeffrey. P. Bigham, et al. 2018. It's Time to Do Something: Mitigating the Negative Impacts of Computing Through a Change to the Peer Review Process. ACM Future of Computing Blog.Google Scholar
- Siou Chew Kuek, Cecilia Paradi-Guilford, Toks Fayomi, et al. 2015. The global opportunity in online outsourcing.Google Scholar
- Philippe Marcadent, Janine Berg, Mariya Aleksynska, et al. 2016. Non-Standard Employment Around The World.Google Scholar
- Lucas Rosenblatt, Patrick Carrington, Kotaro Hara, and Jeffrey P Bigham. 2018. Vocal Programming for People with Upper-Body Motor Impairments. Proceedings of the Internet of Accessible Things, ACM, 30:1--30:10. Google ScholarDigital Library
Index Terms
- Worker Demographics and Earnings on Amazon Mechanical Turk: An Exploratory Analysis
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