e.g. mhealth
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Perplexity, Bing, and Chat GPT had no significant difference regarding their hallucination results for DOI, authors’ names, reference web links, and reference titles. Perplexity and Bing hallucinated significantly lesser than Chat GPT regarding the journal name. Perplexity hallucinated slightly lesser than Chat GPT regarding reference title. Bing had significantly fewer hallucination results for references’ irrelevancy to the prompt medical topic than Chat GPT (P=.045).
JMIR Med Inform 2024;12:e54345
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Specifically, 13.23% (18/136) of Google SGE’s responses and 19.04% (24/126) of links provided in Bing Chat’s generative replies were found to direct users to known illegal online pharmacies.
JMIR Public Health Surveill 2024;10:e53086
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The Microsoft Bing AI chatbot [7] is an intelligent conversational agent developed by Microsoft Corporation, designed to assist users in navigating the Microsoft Bing search engine and answering various queries. Leveraging AI, natural language processing, and machine learning, the Microsoft Bing AI chatbot understands user inputs and provides relevant information or search results accordingly.
JMIR AI 2024;3:e49082
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We advertised on Microsoft Advertising to US-based users of Bing who queried for one of a range of sleep disorder–related terms (see Multimedia Appendix 1); those people were shown 1 of 12 advertisements, which are listed in Multimedia Appendix 2. People who clicked on the advertisements were referred to a dedicated landing page.
The web page described the experiment to potential participants.
J Med Internet Res 2022;24(11):e41288
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Health information boxes (info boxes), also known as health knowledge graph boxes, information cards, or task panes, were created at major search engines about 10 years ago—at Bing in 2010 and at Google in 2012 [6]. They were developed to address health information gaps and misinformation for commonly searched symptoms that might arise from search results alone [4].
JMIR Infodemiology 2022;2(2):e37286
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