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Currently submitted to: Journal of Medical Internet Research

Date Submitted: Sep 17, 2026
Open Peer Review Period: Sep 17, 2026 - Nov 12, 2026
(currently open for review)

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Universal guidelines for the prevention, identification and management of imposter participants in online research

  • Fiona Giles; 
  • Mandy McKenzie; 
  • Matthew Lewis; 
  • Ruby Biezen; 
  • Jennifer McIntosh; 
  • Sandra Sursock; 
  • Laura Tarzia; 
  • Kelsey Hegarty

ABSTRACT

The rise of online research methods for recruitment and data collection following the COVID-19 pandemic has coincided with a growing threat to research integrity: imposter participants who falsify experiences to participate in paid studies. This viewpoint article provides a summary of the contemporary evidence on combatting imposter participants and proposes universal, evidence-based guidelines. Case reports and scoping reviews examining this threat are numerous, and some recommend guidelines for various study designs. Few studies have examined prevalence, financial implications and personal impacts. Imposter participants pose a persistent, evolving threat to online research. Responsibility cannot rest with individual researchers alone. Guidelines along with investment in institutional supports are urgently needed to safeguard data integrity and maintain public trust in research. Our recommended guidelines target each part of the research eco-system: 1) publishers, editors and checklist authors; 2) national funding and ethics bodies; 3) universities and other research institutions; and 4) researchers and study teams.


 Citation

Please cite as:

Giles F, McKenzie M, Lewis M, Biezen R, McIntosh J, Sursock S, Tarzia L, Hegarty K

Universal guidelines for the prevention, identification and management of imposter participants in online research

JMIR Preprints. 17/09/2026:112238

DOI: 10.2196/preprints.112238

URL: https://preprints.jmir.org/preprint/112238

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