Crowdsourcing and Mechanical Turks

Articles published in this theme: 103 (scroll down to load remaining articles)

2025

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Analyzing Health Care Professionals’ Resilience and Emotional Responses to COVID-19 via Twitter: Retrospective Cohort and Matched Comparison Group Study

Noa Tal, Idan-Chaim Cohen, Aviad Elyashar, Nir Grinberg, Rami Puzis, Odeya Cohen

J Med Internet Res 2025 (Sep 03); 27:e72521

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Impact of Medical Conditions and Area Deprivation on Fundraising Success in Online Crowdfunding: Cross-Sectional Study

Steven S Doerstling, Matthew M Engelhard, Dennis Akrobetu, Caroline E Sloan, Ada Campagna, Thuy-Vi Nguyen, Farrah Madanay, Felicia Chen, Peter A Ubel

J Med Internet Res 2025 (Jul 29); 27:e72475

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Introducing Novel Methods to Identify Fraudulent Responses (Sampling With Sisyphus): Web-Based LGBTQ2S+ Mixed-Methods Study

Kinnon Ross MacKinnon, Naail Khan, Katherine M Newman, Wren Ariel Gould, Gin Marshall, Travis Salway, Annie Pullen Sansfaçon, Hannah Kia, June SH Lam

J Med Internet Res 2025 (Mar 17); 27:e63252

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Identifying Fraudulent Responses in a Study Exploring Delivery Options for Pregnancies Impacted by Gestational Diabetes: Lessons Learned From a Web-Based Survey

Emma Ruby, Serine Ramlawi, Alexa Clare Bowie, Stephanie Boyd, Alysha Dingwall-Harvey, Ruth Rennicks White, Darine El-Chaâr, Mark Walker

J Med Internet Res 2025 (Jan 20); 27:e58450

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2024

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Comparing Health Survey Data Cost and Quality Between Amazon’s Mechanical Turk and Ipsos’ KnowledgePanel: Observational Study

Patricia M Herman, Mary E Slaughter, Nabeel Qureshi, Tarek Azzam, David Cella, Ian D Coulter, Graham DiGuiseppi, Maria Orlando Edelen, Arie Kapteyn, Anthony Rodriguez, Max Rubinstein, Ron D Hays

J Med Internet Res 2024 (Nov 29); 26:e63032

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Dropout in a Longitudinal Survey of Amazon Mechanical Turk Workers With Low Back Pain: Observational Study

Nabeel Qureshi, Ron D Hays, Patricia M Herman

Interact J Med Res 2024 (Nov 11); 13:e58771

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Optimizing the Measurement of Information on the Context of Alcohol Consumption Within the Drink Less App Among People Drinking at Increasing and Higher Risk Levels: Mixed-Methods Usability Study

Abigail K Stevely, Claire Garnett, John Holmes, Andrew Jones, Larisa Dinu, Melissa Oldham

JMIR Form Res 2024 (Oct 24); 8:e50131

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Evaluating the Psychometric Properties of a Physical Activity and Sedentary Behavior Identity Scale: Survey Study With Two Independent Samples of Adults in the United States

Cheng K Fred Wen, Stefan Schneider, Doerte U Junghaenel, Meynard John L Toledo, Pey-Jiuan Lee, Joshua M Smyth, Arthur A Stone

JMIR Form Res 2024 (Oct 24); 8:e59950

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The Rutgers Omnibus Study: Protocol for Quarterly Web-Based Surveys to Promote Rapid Tobacco Research

Michelle T Bover Manderski, William J Young, Ollie Ganz, Cristine D Delnevo

JMIR Res Protoc 2024 (Oct 16); 13:e58203

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Evaluating Expert-Layperson Agreement in Identifying Jargon Terms in Electronic Health Record Notes: Observational Study

John P Lalor, David A Levy, Harmon S Jordan, Wen Hu, Jenni Kim Smirnova, Hong Yu

J Med Internet Res 2024 (Oct 15); 26:e49704

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Collective Intelligence–Based Participatory COVID-19 Surveillance in Accra, Ghana: Pilot Mixed Methods Study

Gifty Marley, Phyllis Dako-Gyeke, Prajwol Nepal, Rohini Rajgopal, Evelyn Koko, Elizabeth Chen, Kwabena Nuamah, Kingsley Osei, Hubertus Hofkirchner, Michael Marks, Joseph D Tucker, Rosalind Eggo, William Ampofo, Sean Sylvia

JMIR Infodemiology 2024 (Aug 12); 4:e50125

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Perception of Medication Safety–Related Behaviors Among Different Age Groups: Web-Based Cross-Sectional Study

Yan Lang, Kay-Yut Chen, Yuan Zhou, Ludmila Kosmari, Kathryn Daniel, Ayse Gurses, Richard Young, Alicia Arbaje, Yan Xiao

Interact J Med Res 2024 (Aug 12); 13:e58635

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Gamified Crowdsourcing as a Novel Approach to Lung Ultrasound Data Set Labeling: Prospective Analysis

Nicole M Duggan, Mike Jin, Maria Alejandra Duran Mendicuti, Stephen Hallisey, Denie Bernier, Lauren A Selame, Ameneh Asgari-Targhi, Chanel E Fischetti, Ruben Lucassen, Anthony E Samir, Erik Duhaime, Tina Kapur, Andrew J Goldsmith

J Med Internet Res 2024 (Jul 04); 26:e51397

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A Perspective on Crowdsourcing and Human-in-the-Loop Workflows in Precision Health

Peter Washington

J Med Internet Res 2024 (Apr 11); 26:e51138

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Digitally Diagnosing Multiple Developmental Delays Using Crowdsourcing Fused With Machine Learning: Protocol for a Human-in-the-Loop Machine Learning Study

Aditi Jaiswal, Ruben Kruiper, Abdur Rasool, Aayush Nandkeolyar, Dennis P Wall, Peter Washington

JMIR Res Protoc 2024 (Feb 08); 13:e52205

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2023

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Investigating Racial Disparities in Cancer Crowdfunding: A Comprehensive Study of Medical GoFundMe Campaigns

Xupin Zhang, Jingjing Wang, Jamil M Lane, Xin Xu, Silvia Sörensen

J Med Internet Res 2023 (Dec 12); 25:e51089

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Effects of Excluding Those Who Report Having “Syndomitis” or “Chekalism” on Data Quality: Longitudinal Health Survey of a Sample From Amazon’s Mechanical Turk

Ron D Hays, Nabeel Qureshi, Patricia M Herman, Anthony Rodriguez, Arie Kapteyn, Maria Orlando Edelen

J Med Internet Res 2023 (Aug 04); 25:e46421

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Assessing Interventions on Crowdsourcing Platforms to Nudge Patients for Engagement Behaviors in Primary Care Settings: Randomized Controlled Trial

Kay-Yut Chen, Yan Lang, Yuan Zhou, Ludmila Kosmari, Kathryn Daniel, Ayse Gurses, Yan Xiao

J Med Internet Res 2023 (Jul 13); 25:e41431

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Exploring Novel Innovation Strategies to Close a Technology Gap in Neurosurgery: HORAO Crowdsourcing Campaign

Philippe Schucht, Andrea Maria Mathis, Michael Murek, Irena Zubak, Johannes Goldberg, Stephanie Falk, Andreas Raabe

J Med Internet Res 2023 (Apr 28); 25:e42723

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A Virtual Reading Center Model Using Crowdsourcing to Grade Photographs for Trachoma: Validation Study

Christopher J Brady, R Chase Cockrell, Lindsay R Aldrich, Meraf A Wolle, Sheila K West

J Med Internet Res 2023 (Apr 06); 25:e41233

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