Amazon’s Mechanical Turk a Digital Sweatshop? Transparency and Accountability in Crowdsourced Online Research

By Matthew Pittman, Kim Bartel Sheehan. 2016

Subfields: Human-Computer Interaction, Social Sciences & Humanities

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Social Sciences & Humanities

1. Stan Oklobdzija
2. Emily Bello-Pardo
3. Jeffrey W. Lockhart
4. C. Knight
5. Martijn Schoonvelde
6. Carsten Schwemmer

Citations in the corpus

• Diagnosing Gender Bias in Image Recognition Systems (2020, background): “The use of temporary and anonymous workers who lack the labor protections of traditional research assistants employed through a higher education institution has been discussed extensively by other scholars (see Pittman and Sheehan 2016; Williamson 2016).”
• Comparing Amazon’s Mechanical Turk Platform to Conventional Data Collection Methods in the Health and Medical Research Literature (2018, background): “Researchers can collect data from large enough samples to generate significant statistical power at one-tenth of the cost of traditional methods.(4) The MTurk population is more representative of the population at large than other online surveys and produces reliable results.”