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Survey Fraud: AI-Generated Responses and New Detection Methods
Methodology Paper No. 1382026 Edition
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Abstract
A vendor-neutral methodology for detecting modern survey fraud — synthetic identities, bots, automated scripts, copied and AI-generated open-ends — through a layered stack of behavioural and technical signals backed by human review. Grounded in the ICC/ESOMAR Code, ESOMAR 37, ISO 20252, and peer-reviewed fraud research.
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Survey Fraud: AI-Generated Responses and New Detection Methods
Synthetic identities, bots, automated scripts, copied and AI-generated open-ends — through a layered stack of behavioural and technical signals backed by human review.
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APA
CatalystMR Research Team. (2026). Survey Fraud: AI-Generated Responses and New Detection Methods (Methodology Paper No. 138). CatalystMR. https://www.catalystmr.com/insights/methodology-papers/survey-fraud-ai-detection/
BibTeX
@techreport{catalystmr_mp138,
author = {{CatalystMR Research Team}},
title = {Survey Fraud: AI-Generated Responses and New Detection Methods},
institution = {CatalystMR},
type = {Methodology Paper},
number = {No. 138},
year = {2026},
url = {https://www.catalystmr.com/insights/methodology-papers/survey-fraud-ai-detection/}
}
RIS
TY - RPRT
AU - CatalystMR Research Team
TI - Survey Fraud: AI-Generated Responses and New Detection Methods
T2 - CatalystMR Methodology Papers
PB - CatalystMR
PY - 2026
M1 - No. 138
UR - https://www.catalystmr.com/insights/methodology-papers/survey-fraud-ai-detection/
ER -
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