Crowdsourcing has had a dramatic impact on the speed and scale at which scientific
research can be conducted. Clinical scientists have particularly benefited from readily …

Amazon's Mechanical Turk (MTurk) is arguably one of the most important research tools of
the past decade. The ability to rapidly collect large amounts of high-quality human subjects …

Large language models (LLMs) are remarkable data annotators. They can be used to
generate high-fidelity supervised training data, as well as survey and experimental data …

Despite the seemingly low switching and search costs of on-demand labor markets like
Amazon Mechanical Turk, we find substantial monopsony power, as measured by the …

Mechanical Turk (MTurk), an online labor market created by Amazon, has recently become
popular among social scientists as a source of survey and experimental data. The workers …

Abstract Amazon's Mechanical Turk is an online labor market where requesters post jobs
and workers choose which jobs to do for pay. The central purpose of this article is to …

This paper contributes to the discussion on patient engagement in online health
communities (OHCs) by integrating channel expansion and social exchange theories. Using …

Online crowdsourcing markets (OCM) are becoming more popular as a source for data
collection. In this paper, we examine the consistency of survey results across student …

In this study, we examined data quality among Amazon Mechanical Turk (MTurk) workers
based in India, and the effect of monetary compensation on their data quality. Recent studies …

Recently heard at a tutorial in our field:“It cost me less than one hundred bucks to annotate
this using Amazon Mechanical Turk!” Assertions like this are increasingly common, but we …