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The threat of synthetic respondents extends to clinical mental health screening

2026-03-06

Abstract excerpt

<p>Online platforms have enabled clinical mental health research at unprecedented scale, yet large language models (LLMs) now threaten the integrity of remotely collected data. Recent work has demonstrated that LLM-based synthetic respondents can complete general surveys with human-like plausibility, but the vulnerability of validated clinical psychiatric instruments remains unexamined. Here, we show that a commer...

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Literature Corpus work
1f5c8992-f6c2-5ea6-a3c1-b92c22ccfc43
DOI
10.31234/osf.io/7ebmy_v1
Open publication

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The threat of synthetic respondents extends to clinical mental health screeningDOI 10.31234/osf.io/7ebmy_v1
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