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ABSTRACT: Background
The COVID-19 pandemic, caused by the SARS-CoV-2 virus, has necessitated reliable and authoritative information for public guidance. The World Health Organization (WHO) has been a primary source of such information, disseminating it through a question and answer format on its official website. Concurrently, ChatGPT 3.5 and 4.0, a deep learning-based natural language generation system, has shown potential in generating diverse text types based on user input.Objective
This study evaluates the accuracy of COVID-19 information generated by ChatGPT 3.5 and 4.0, assessing its potential as a supplementary public information source during the pandemic.Methods
We extracted 487 COVID-19-related questions from the WHO's official website and used ChatGPT 3.5 and 4.0 t
SUBMITTER: Wang G
PROVIDER: S-EPMC10755661 | biostudies-literature | 2023 Dec
REPOSITORIES: biostudies-literature