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Cloud Based Surveys to Assess Patient Perceptions of Health Care: 1000 Respondents in 3 days for US $300

Amazon’s MTurk, for example, accesses more than 500,000 workers from over 190 countries [13]. Concerns have been raised regarding the use of MTurk in human participant research.

Jonah Bardos, Jenna Friedenthal, Jessica Spiegelman, Zev Williams

JMIR Res Protoc 2016;5(3):e166

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Public Concern About Monitoring Twitter Users and Their Conversations to Recruit for Clinical Trials: Survey Study

Katja Reuter, Yifan Zhu, Praveen Angyan, NamQuyen Le, Akil A Merchant, Michael Zimmer

J Med Internet Res 2019;21(10):e15455

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Assessing Diabetes-Relevant Data Provided by Undergraduate and Crowdsourced Web-Based Survey Participants for Honesty and Accuracy

proportion of the data produced by MTurk Workers [25].

Mary Turner DePalma, Michael C Rizzotti, Matthew Branneman

JMIR Diabetes 2017;2(2):e11

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Study of Methods for Assessing Research Topic Elicitation and pRioritization (SMARTER): Study Protocol to Compare Qualitative Research Methods and Advance Patient Engagement in Research

MTurk reports more than 500,000 registered users (MTurk workers) throughout the world.MTurk workers with an active account registered in the United States are eligible to participate in the crowdsourcing prioritization activity.

Danielle C Lavallee, Bryan Comstock, Mary R Scott, Andrew L Avins, David R Nerenz, Todd C Edwards, Donald L Patrick, Sarah O Lawrence, Zoya Bauer, Anjali R Truitt, Jeffrey G Jarvik

JMIR Res Protoc 2017;6(9):e168

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Crowdsourcing for Food Purchase Receipt Annotation via Amazon Mechanical Turk: A Feasibility Study

MTurk offers a basic user interface for simple tasks and a powerful application programming interface for developers to build a platform that uses their services [10,11].Since its inception, MTurk has been used primarily by researchers in nonmedical fields

Wenhua Lu, Alexandra Guttentag, Brian Elbel, Kamila Kiszko, Courtney Abrams, Thomas R Kirchner

J Med Internet Res 2019;21(4):e12047

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Assessing Pictograph Recognition: A Comparison of Crowdsourcing and Traditional Survey Approaches

Two primary concerns in the use of MTurk for human subject research are the demographic mix of the study participants and data quality, both of which affect the validity and generalizability of results obtained from MTurk.

Jinqiu Kuang, Lauren Argo, Greg Stoddard, Bruce E Bray, Qing Zeng-Treitler

J Med Internet Res 2015;17(12):e281

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Comparison of Online Survey Recruitment Platforms for Hard-to-Reach Pregnant Smoking Populations: Feasibility Study

Respondents in mTurk produced higher-quality responses than any other platform, with 0% of respondents failing any of the quality or attention screens. Similar to those recruited through mTurk, respondents from Qualtrics produced high-quality surveys.

Jose Luis Ibarra, Jessica Marie Agas, Melissa Lee, Julia Lily Pan, Alison Meredith Buttenheim

JMIR Res Protoc 2018;7(4):e101

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The Promise and Pitfalls of Using Crowdsourcing in Research Prioritization for Back Pain: Cross-Sectional Surveys

Compared with the US population as a whole, the study cohort from MTurk was younger (US population: 38 years; MTurk cohort: 33 years), had proportionally more women (US population: 51% female; MTurk cohort: 62% female), was more highly educated (US population

Matthew A Bartek, Anjali R Truitt, Sierra Widmer-Rodriguez, Jordan Tuia, Zoya A Bauer, Bryan A Comstock, Todd C Edwards, Sarah O Lawrence, Sarah E Monsell, Donald L Patrick, Jeffrey G Jarvik, Danielle C Lavallee

J Med Internet Res 2017;19(10):e341

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Combining Participatory Influenza Surveillance with Modeling and Forecasting: Three Alternative Approaches

MTurk allows requesters to recruit human intelligence to conduct tasks that computers cannot do; individuals who browse among existing jobs are called workers.

John S Brownstein, Shuyu Chu, Achla Marathe, Madhav V Marathe, Andre T Nguyen, Daniela Paolotti, Nicola Perra, Daniela Perrotta, Mauricio Santillana, Samarth Swarup, Michele Tizzoni, Alessandro Vespignani, Anil Kumar S Vullikanti, Mandy L Wilson, Qian Zhang

JMIR Public Health Surveill 2017;3(4):e83

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Crowdsourcing Participatory Evaluation of Medical Pictograms Using Amazon Mechanical Turk

Specifically, we aimed to assess the comprehensibility of standard US Pharmacopeial Convention pictograms using Amazon Mechanical Turk (MTurk).

Bei Yu, Matt Willis, Peiyuan Sun, Jun Wang

J Med Internet Res 2013;15(6):e108

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