Use of large language models to identify pseudo‐information: Implications for health information

The accuracy of LMMs needs to be further improved until they can be reliably used by patients for health-related online information and as assistant tools for health information and library services workers without restriction.

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Publication Details

Journal
Health Information & Libraries Journal
Published
2025-03-20
DOI
https://doi.org/10.1111/hir.12569
Citations
1
Primary Topic
Health Literacy and Information Accessibility
Type
article
Field-Weighted Citation Impact
2.82
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article

Use of large language models to identify pseudo‐information: Implications for health information

Boris Schmitz
1 citations
Health Information & Libraries Journal
Health Literacy and Information Accessibility
2.82
article

Use of large language models to identify pseudo‐information: Implications for health information

Boris Schmitz
article en
1 citations

Abstract

The accuracy of LMMs needs to be further improved until they can be reliably used by patients for health-related online information and as assistant tools for health information and library services workers without restriction.

Health Information & Libraries JournalVol. 42(4)
Witten/Herdecke University (DE)
Quality Education
Openalex Percentile: Top 13%
Health Literacy and Information Accessibility
2.82
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Use of large language models to identify pseudo‐information: Implications for health information — Boris Schmitz · Health Information & Libraries Journal (2025) | TGRS Research Map | TGRS