Crowdsourcing and Mechanical Turks

Assessing Associations Between COVID-19 Symptomology and Adverse Outcomes After Piloting Crowdsourced Data Collection: Cross-sectional Survey Study

Natalie Flaks-Manov, Jiawei Bai, Cindy Zhang, Anand Malpani, Stuart C Ray, Casey Overby Taylor

JMIR Form Res 2022 (Dec 06); 6(12):e37507

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The Benefits of Crowdsourcing to Seed and Align an Algorithm in an mHealth Intervention for African American and Hispanic Adults: Survey Study

Neil Jay Sehgal, Shuo Huang, Neil Mason Johnson, John Dickerson, Devlon Jackson, Cynthia Baur

J Med Internet Res 2022 (Jun 21); 24(6):e30216

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Identifying Barriers to Enrollment in Patient Pregnancy Registries: Building Evidence Through Crowdsourcing

Jeanne M Pimenta, Jeffery L Painter, Kim Gemzoe, Roger Abramino Levy, Marcy Powell, Paige Meizlik, Gregory Powell

JMIR Form Res 2022 (May 25); 6(5):e30573

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A Crowdsourcing Open Contest to Design a Latino-Specific COVID-19 Campaign: Mixed Methods Analysis

Harita S Shah, Suzanne Dolwick Grieb, Alejandra Flores-Miller, Katherine H Phillips, Kathleen R Page, Ana Cervantes, Cui Yang

JMIR Form Res 2022 (May 12); 6(5):e35764

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The Acceptability of Virtual Characters as Social Skills Trainers: Usability Study

Hiroki Tanaka, Satoshi Nakamura

JMIR Hum Factors 2022 (Mar 29); 9(1):e35358

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Physical Activity, Sedentary Behavior, and Sleep on Twitter: Multicountry and Fully Labeled Public Data Set for Digital Public Health Surveillance Research

Zahra Shakeri Hossein Abad, Gregory P Butler, Wendy Thompson, Joon Lee

JMIR Public Health Surveill 2022 (Feb 14); 8(2):e32355

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Crowdsourcing for Machine Learning in Public Health Surveillance: Lessons Learned From Amazon Mechanical Turk

Zahra Shakeri Hossein Abad, Gregory P Butler, Wendy Thompson, Joon Lee

J Med Internet Res 2022 (Jan 18); 24(1):e28749

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