Back to search

Article

Digital shadows in mental health map how LLMs simulate depression, anxiety, and stress through language and psychometrics

2026-06-22

Abstract excerpt

<title>Abstract</title> <p>Large Language Models (LLMs) are increasingly used for mental-health support, yet few datasets characterise how prompting conditions shape LLMs' psychological and linguistic outputs. To fill this gap, we introduce Mental Health Digital Shadows (MHDS), a benchmark of 75,000 outputs from 15 LLMs in conversation, under human-shadow or LLM-assistant conditions. MHDS includes outputs generat...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
e5a1abbd-254f-5beb-b14d-d6cb6ac4b9a0
DOI
10.21203/rs.3.rs-10091363/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Digital shadows in mental health map how LLMs simulate depression, anxiety, and stress through language and psychometricsDOI 10.21203/rs.3.rs-10091363/v1
Digital shadows in mental health map how LLMs simulate depression, anxiety, and stress through language and psychometricsSemantic proximity
Digital shadows in mental health map how LLMs simulate depression, anxiety, and stress through language and psychometricsSemantic proximity
Mapping how LLMs debate societal issues when shadowing human personality traits, sociodemographics and social media behaviorSemantic proximity
Bias in Large Language Models for Mental Health: Evidence from Vignette-Based Evaluation Across Nine ModelsSemantic proximity
Bias in Large Language Models for Mental Health: Evidence from Vignette-Based Evaluation Across Nine ModelsSemantic proximity
The threat of synthetic respondents extends to clinical mental health screeningSemantic proximity
Machine-Assisted Topic Analysis of Large-Scale Health Experience Data: Identifying Sociodemographic Differences and Evaluating Bias in Large Language ModelsSemantic proximity
Harnessing AI and social media to understand real-world patient experiences in systemic lupus erythematosusSemantic proximity
Benefits and Harms of Large Language Models in Digital Mental HealthSemantic proximity
AI-Driven Mental Healthcare 5.0: A Survey of Opportunities and Challenges in Leveraging Large Language Models and Generative AISemantic proximity
Culture by Design : A Sociotechnical Framework for Culturally Grounded AI for Mental HealthSemantic proximity
Culture by Design : A Sociotechnical Framework for Culturally Grounded AI for Mental HealthSemantic proximity
Select a neighboring publication to make it the new centre.