This paper is in the following e-collection/theme issue:

Crowdsourcing and Mechanical Turks (87) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (660) Demographics of Users, Social & Digital Divide (587) Prevention and Health Promotion (582)

Published on in Vol 24 , No 6 (2022) :June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30216, first published .
The Benefits of Crowdsourcing to Seed and Align an Algorithm in an mHealth Intervention for African American and Hispanic Adults: Survey Study

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

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

Authors of this article:

Neil Jay Sehgal 1, 2 Author Orcid Image ;   Shuo Huang 1 Author Orcid Image ;   Neil Mason Johnson 2, 3 Author Orcid Image ;   John Dickerson 2, 3 Author Orcid Image ;   Devlon Jackson 2, 4 Author Orcid Image ;   Cynthia Baur 2 Author Orcid Image
Article Authors Cited by Tweetations (4) Metrics

There are no citations yet available for this article according to Crossref .