Using Epidemiological Test Diagnostics to Select Fraud Detection Methods: Secondary Analysis of Quantitative Cross-Sectional Survey Data

Fraudulent data entry using bots is increasing in survey research. Sharing flexible protocols to identify and mitigate them in a way that is responsive to their ever-changing nature is vital to ensuring that researchers elevate the voices of real people within survey research to inform policy and programmatic discussions.

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Publication Details

Journal
Journal of Medical Internet Research
Published
2026-01-30
DOI
https://doi.org/10.2196/85161
Primary Topic
Survey Methodology and Nonresponse
Type
article
Field-Weighted Citation Impact
0.00
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article

Using Epidemiological Test Diagnostics to Select Fraud Detection Methods: Secondary Analysis of Quantitative Cross-Sectional Survey Data

Tali Klima, Mansi Dedhia, Annie Nisnevich, Allison Gray et al.
Journal of Medical Internet Research
Survey Methodology and Nonresponse
article

Using Epidemiological Test Diagnostics to Select Fraud Detection Methods: Secondary Analysis of Quantitative Cross-Sectional Survey Data

Tali Klima, Mansi Dedhia, Annie Nisnevich, Allison Gray, Rachel Willard-Grace, Holly Henry, Emily Lo
article en

Abstract

Fraudulent data entry using bots is increasing in survey research. Sharing flexible protocols to identify and mitigate them in a way that is responsive to their ever-changing nature is vital to ensuring that researchers elevate the voices of real people within survey research to inform policy and programmatic discussions.

Journal of Medical Internet ResearchVol. 28
University of California, San Francisco (US), Lucile Packard Foundation for Childrens Health (US), SC Solutions (United States) (US)
Openalex Percentile: Top 77%
Survey Methodology and Nonresponse
DOIOpen Access PDFOpenAlex
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