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AI search tools cite limited sources for mental health info · 2 sources tracked

A new audit of AI-powered search tools like ChatGPT, Perplexity, and Google AI Overview reveals significant concentration in the sources they cite for mental health information. The study found that just ten domains accounted for over 43% of English citations, with government, commercial health, and academic sources being nearly equally represented. While platforms showed similar citation volumes, they differed in consistency and preferred source types, and non-English queries resulted in fewer citations and lower rates of routing to appropriate language resources. The researchers have released their typology, classifier, and annotated corpus for future auditing of generative health search. AI

IMPACT Highlights potential biases and limitations in AI-generated health information, urging caution for users and developers.

RANK_REASON The cluster contains an academic paper detailing a study and releasing a corpus.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

AI search tools cite limited sources for mental health info · 2 sources tracked

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Signal score
0 / 100
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Newsworthiness bucket
Research
The cluster contains an academic paper detailing a study and releasing a corpus.
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2 independent sources
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Topics
paper, product, safety
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
26 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Phuong Anh Nguyen, Jill Noorily, Matthew Flathers, Haruka Notsu, Laura Ospina-Pinillos, Tommy Nguyen, Samantha Clark, Aoife Keane, Grace Thompson, John Torous ·

    Sources of Truth: A Multi-Platform, Multilingual Audit of Citations in AI Mental Health Information Queries

    arXiv:2609.00319v1 Announce Type: cross Abstract: Online health information seeking is shifting from keyword search, where users consider a ranked list of links, to conversational systems that compose a single answer and curate its citations. Source evaluation therefore passes fr…

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · John Torous ·

    Sources of Truth: A Multi-Platform, Multilingual Audit of Citations in AI Mental Health Information Queries

    Online health information seeking is shifting from keyword search, where users consider a ranked list of links, to conversational systems that compose a single answer and curate its citations. Source evaluation therefore passes from user to platform, yet what these systems surfac…