A data-driven analysis of workers' earnings on Amazon Mechanical Turk

• Main Authors: HARA, Kotaro, ADAMS, Abigail, MILLAND, Kristy, SAVAGE, Saiph, CALLISON-BURCH, Chris, BIGHAM, Jeffrey P.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Crowdsourcing; Amazon Mechanical Turk; Hourly wage; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/4209; https://ink.library.smu.edu.sg/context/sis_research/article/5212/viewcontent/Hara_AData_DrivenAnalysisOfWorkersEearningsOnAmazonMechanicalTurk_CHI2018.pdf
• Institution: Singapore Management University

A growing number of people are working as part of on-line crowd work. Crowd work is often thought to be low wage work. However, we know little about the wage distribution in practice and what causes low/high earnings in this setting. We recorded 2,676 workers performing 3.8 million tasks on Amazon M...