Generative artificial intelligence-driven chatbots and medical misinformation: an accuracy, referencing and readability audit
Nicholas B Tiller, Alessandro R Marcon, Marco Zenone, Kristin E Kidd, Asker E Jeukendrup, Zubin Master, Timothy Caulfield · 2026
Read Generative artificial intelligence-driven chatbots and medical misinformation: an accuracy, referencing and readability audit by Nicholas B Tiller, Alessandro R Marcon, Marco Zenone, Kristin E Kidd, Asker E Jeukendrup, Zubin Master, Timothy Caulfield (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13158598.txt.
Description
ObjectivesArtificial intelligence (AI)-driven chatbots have been rapidly adopted across research, education, business, marketing and medicine. Most interactions, however, come from non-experts using chatbots like search engines, including for everyday health and medical queries.DesignWe conducted an original study to audit chatbot responses in health and medical fields prone to misinformation.
Catalog record
| CREATOR | Nicholas B Tiller, Alessandro R Marcon, Marco Zenone, Kristin E Kidd, Asker E Jeukendrup, Zubin Master, Timothy Caulfield |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 55 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |