An Empirical Discussion and Application Prospect of ChatGPT in the Identification of Health Rumors
[Purpose/significance]This paper discusses the application effect of ChatGPT in the identification of health ru-mors,and provides reference for the wide application of pre-trained large model in the field of health information.[Method/process]Researchers select health information from authoritative rumor-refuting websites,use ChatGPT to identify the"true"and"false"of on-line health information,and compare it with the identification results of institutional experts.[Result/conclusion]The identification ac-curacy of ChatGPT model is 93.1%.The generated explanatory text is detailed,the language is fluent,and the understanding of health in-formation is close to that of medical experts to a large extent.ChatGPT large model has a good discrimination effect,but requires manual intervention to ensure the accuracy and reliability of the results.In the field of artificial intelligence large model research in the fu-ture,researchers should pay attention to the construction of high-quality corpora in vertical fields and fine-tune and optimize them for different fields.
health informationidentification methodartificial intelligence
NETL
NSTL
万方数据
维普
