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

Viewpoints and Perspectives (625) New Methods (1152) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (1008) Recruitment of Research Participants (381)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78554, first published .
Flagged for Fraud: Lessons From 3 Case Studies on Detecting Inauthentic Participants in Online Research

Flagged for Fraud: Lessons From 3 Case Studies on Detecting Inauthentic Participants in Online Research

Flagged for Fraud: Lessons From 3 Case Studies on Detecting Inauthentic Participants in Online Research

Authors of this article:

Jordan R Hill1 Author Orcid Image ;   Sydney Hoel2 Author Orcid Image ;   Clover Caldwell1 Author Orcid Image ;   Matthew Zuraw3 Author Orcid Image ;   Christian Elliott3 Author Orcid Image ;   Andrew C Pickett1 Author Orcid Image ;   Beth E Fields4 Author Orcid Image ;   Nicole E Werner2 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Stemmer M, Tauscher J, Buck B, Wedgeworth P, Bear Don’t Walk O, Cohen T, Ben-Zeev D. Practical guidance for mitigating fraud in online research: The Configure, Assess, Triage, Corroborate, and Hone (CATCH) framework. DIGITAL HEALTH 2026;12 View