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Article

A scale for detecting LLM-generated responses in online survey research

2026-03-21

Abstract excerpt

<p>The rise of LLM-generated respondents poses a growing threat to the integrity of online survey research, yet available detection techniques remain opaque, proprietary, or poorly matched to the problem. In the present project, we propose and evaluate ECLAIR (Exploiting Common Limitations of AI Respondents), a novel framework for developing AI-detection items. We generated synthetic respondents using six LLMs (NT...

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Literature Corpus work
4c8270f3-b849-5dd8-bfa7-c9ab42e7df82
DOI
10.31234/osf.io/4p7ns_v5
Open publication

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A scale for detecting LLM-generated responses in online survey researchDOI 10.31234/osf.io/4p7ns_v5
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