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.
Authors
- Timothy Bickmore (ORCID: https://orcid.org/0000-0002-2676-9788)
- Hye Sun Yun (ORCID: https://orcid.org/0000-0001-6405-8082)
Institutions
- Northeastern University (US)
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