Online Health Information–Seeking in the Era of Large Language Models: Cross-Sectional Web-Based Survey Study

Although traditional online sources remain dominant, LLM-based chatbots are emerging as a resource for health information for some users, specifically those who are younger and have a higher trust in AI. The perceived quality and trustworthiness of health information varied little across source types. However, the adherence to health information from LLM-based chatbots seemed more cautious compared to search engines or health-related websites. As LLMs continue to evolve, enhancing their accuracy and transparency will be essential in mitigating any potential risks by supporting responsible information-seeking while maximizing the potential of AI in health contexts.

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Publication Details

Journal
Journal of Medical Internet Research
Published
2025-03-01
DOI
https://doi.org/10.2196/68560
Citations
42
Primary Topic
Health Literacy and Information Accessibility
Type
article
Field-Weighted Citation Impact
118.25
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article

Online Health Information–Seeking in the Era of Large Language Models: Cross-Sectional Web-Based Survey Study

Timothy Bickmore, Hye Sun Yun
42 citations
Journal of Medical Internet Research
Health Literacy and Information Accessibility
118.25
article

Online Health Information–Seeking in the Era of Large Language Models: Cross-Sectional Web-Based Survey Study

Timothy Bickmore, Hye Sun Yun
article en
42 citations

Abstract

Although traditional online sources remain dominant, LLM-based chatbots are emerging as a resource for health information for some users, specifically those who are younger and have a higher trust in AI. The perceived quality and trustworthiness of health information varied little across source types. However, the adherence to health information from LLM-based chatbots seemed more cautious compared to search engines or health-related websites. As LLMs continue to evolve, enhancing their accuracy and transparency will be essential in mitigating any potential risks by supporting responsible information-seeking while maximizing the potential of AI in health contexts.

Journal of Medical Internet ResearchVol. 27
Northeastern University (US)
Quality Education
Openalex Percentile: Top 0%
Health Literacy and Information Accessibility
118.25
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