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

Viewpoints and Perspectives (619) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (997) mHealth for Data Collection and Research (1196) Behavioural Surveillance for Public Health (294) Smoking Cessation (629) Ethics, Privacy, and Legal Issues (617) Bots and AI Approaches to Detect and Counter Misinformation (20)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60184, first published .
From Doubt to Confidence—Overcoming Fraudulent Submissions by Bots and Other Takers of a Web-Based Survey

From Doubt to Confidence—Overcoming Fraudulent Submissions by Bots and Other Takers of a Web-Based Survey

From Doubt to Confidence—Overcoming Fraudulent Submissions by Bots and Other Takers of a Web-Based Survey

Authors of this article:

Jeffrey J Hardesty1 Author Orcid Image ;   Elizabeth Crespi1 Author Orcid Image ;   Joshua K Sinamo1 Author Orcid Image ;   Qinghua Nian1 Author Orcid Image ;   Alison Breland2 Author Orcid Image ;   Thomas Eissenberg2 Author Orcid Image ;   Ryan David Kennedy1 Author Orcid Image ;   Joanna E Cohen1 Author Orcid Image
Article Authors Cited by (5) Tweetations Metrics

Journals

  1. Liem D. The future of online or web-based research. Have you been BOTTED?. Appetite 2025;213:108058 View
  2. Caven I, Yang Z, Okrainec K. It’s raining bots: how easier access to internet surveys has created the perfect storm. BMJ Open Quality 2025;14(2):e003208 View
  3. Timothy T. AI-driven fabrication of healthcare survey data: methods, motivations, and ethical implications. Ethics & Behavior 2025:1 View
  4. Cha S, Edwards G, Jacobs M, Molloy I, Papandonatos G, Graham A. Successful Digital Recruitment of Adolescents for Population-Based Research: A Case Study of Methods and Strategies. Academic Pediatrics 2025:103181 View
  5. Bontemps A, Pridgen B, Wagner W, Cropsey K, Mitra S. A national study of substance use: Demonstrated use of recommendations for best practice online data collection. PLOS One 2025;20(11):e0336612 View