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December 4, 2025Journal of Medical Internet ResearchOpen Access

Exploring Methods to Mitigate Fraud in Web-Based Surveys: Multicase Study Analysis

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Authors

RRRegina RennerPJPatricia A. JanssenSLSara Leckie

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Overview

Multicase analysis reveals fraud prevention strategies in web-based surveys, indicating vital techniques to ensure data integrity.

Key Points

  • Fraud detection methods improved data integrity across four studies, reducing fraudulent responses significantly.
  • All studies experienced fraud, with various strategies including CAPTCHA and personal identifiers for prevention.
  • Descriptive multicase analysis highlighted essential fraud prevention in web-based surveys within vulnerable populations.
  • Implementing identified strategies can enhance researchers' ability to maintain data reliability in future studies.

Cite This Study

Renner et al. (2025) studied this question.

synapsesocial.com/papers/6930e8b6ea1aef094cca2f2ehttps://doi.org/10.2196/78671
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1So You Want to Conduct an Online Survey? Strategies for Identifying and Eliminating Fraudulent Responses2025
  2. 2Debugging the Internet Survey: A Tutorial for Detecting Fraudulent Responses2025
  3. 3Flagged for Fraud: Lessons From 3 Case Studies on Detecting Inauthentic Participants in Online Research2025
  4. 4Flagged for Fraud: Lessons From 3 Case Studies on Detecting Inauthentic Participants in Online Research (Preprint)2025
  5. 5Preventing and mitigating fraudulent research participants in online qualitative violence and injury prevention research2025