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Published on in Vol 17 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70926, first published .
Imposters, Bots, and Other Threats to Data Integrity in Online Research: Scoping Review of the Literature and Recommendations for Best Practices

Imposters, Bots, and Other Threats to Data Integrity in Online Research: Scoping Review of the Literature and Recommendations for Best Practices

Imposters, Bots, and Other Threats to Data Integrity in Online Research: Scoping Review of the Literature and Recommendations for Best Practices

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
  2. Leitzelar B, Moore J, Russell G, Valle C, Victorson D, Yanez B, Sanford S, Snyder M, Garcia S, Salsman J. Health behaviors among young adult cancer survivors and the importance of task self-efficacy. Journal of Cancer Survivorship 2026 View