Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
5-2019
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 on average.
Keywords
Amazon Mechanical Turk, Crowdsourcing, Hourly wage
Discipline
Artificial Intelligence and Robotics | Computer and Systems Architecture
Research Areas
Data Science and Engineering
Publication
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019, Glasgow, United Kingdom, 2019 May 4-9
First Page
1
Last Page
6
ISBN
9781450359719
Identifier
10.1145/3290607.3312970
City or Country
Glasgow, United Kingdom
Citation
HARA, Kotaro; MILLAND, Kristy; HANRAHAN, Benjamin V.; CALLISON-BURCH, Chris; ADAMS, Abigail; SAVAGE, Saiph; and BIGHAM, Jeffrey P..
Worker demographics and earnings on amazon mechanical turk: An exploratory analysis. (2019). Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019, Glasgow, United Kingdom, 2019 May 4-9. 1-6.
Available at: https://ink.library.smu.edu.sg/sis_research/4402
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/3290607.3312970