A Comparative Study of the Accuracy and Readability of Responses from Four Generative AI Models to COVID-19-Related Questions

A Comparative Study of the Accuracy and Readability of Responses from Four Generative AI Models to COVID-19-Related Questions

The purpose of this study is to compare the accuracy and readability of Coronavirus Disease 2019 (COVID-19)-prevention and control knowledge texts generated by four current generative artificial intelligence (AI) models—two international models (ChatGPT and Gemini) and two domestic models (Kimi and...

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Bibliographic Details
Main Authors: Zongjing Liang, Yun Kuang, Xiaobo Liang, Gongcheng Liang, Zhijie Li
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:COVID
Subjects:
COVID-19
generative artificial intelligence
infectious disease prevention and control
performance comparison
public health knowledge dissemination
manual vs. machine scoring
Online Access:https://www.mdpi.com/2673-8112/5/7/99
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