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

Boris Schmitz

Health Information and Libraries Journal2025https://doi.org/10.1111/hir.12569article
AJG 2
Weight
0.37

What the paper says

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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https://doi.org/https://doi.org/10.1111/hir.12569

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@article{boris2025,
  title        = {{Use of large language models to identify pseudo‐information: Implications for health information}},
  author       = {Boris Schmitz},
  journal      = {Health Information and Libraries Journal},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1111/hir.12569},
}

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

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.