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Dataset Information

Assessing the Adherence of ChatGPT Chatbots to Public Health Guidelines for Smoking Cessation: Content Analysis.


ABSTRACT:

Background

Large language model (LLM) artificial intelligence chatbots using generative language can offer smoking cessation information and advice. However, little is known about the reliability of the information provided to users.

Objective

This study aims to examine whether 3 ChatGPT chatbots-the World Health Organization's Sarah, BeFreeGPT, and BasicGPT-provide reliable information on how to quit smoking.

Methods

A list of quit smoking queries was generated from frequent quit smoking searches on Google related to "how to quit smoking" (n=12). Each query was given to each chatbot, and responses were analyzed for their adherence to an index developed from the US Preventive Services Task Force public health guidelines for quitting smoking and counseling principles.

SUBMITTER: Abroms LC 

PROVIDER: S-EPMC11826940 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature