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October 12, 2025Journal of Medical Internet ResearchOpen Access

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

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Authors

JHJordan R. HillSHSydney HoelCCClover Caldwell

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Implication

Case studies reveal patterns of behavior for identifying inauthentic participants, highlighting risks to data validity.

Key Points

  • Identifying deceptive behaviors helps ensure data validity in online research, preventing compromised results.
  • Case studies demonstrate recurring patterns, such as 'red' and 'yellow' flags indicating varying levels of inauthenticity.
  • Responding to fraudulent participants reveals strategies for researchers to protect data credibility in their studies.
  • This work offers actionable insights for effectively detecting fraud, fostering confidence in the integrity of online research.

Cite This Study

Hill et al. (2025) studied this question.

synapsesocial.com/papers/68ebc91af2c3e4d8d926e4b1https://doi.org/10.2196/78554
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