Understanding Citizens' Response to Social Activities on Twitter in US Metropolises During the COVID-19 Recovery Phase Using a Fine-Tuned Large Language Model: Application of AI.

Journal: Journal of medical Internet research

PMID: 39932775

Abstract

BACKGROUND: The COVID-19 pandemic continues to hold an important place in the collective memory as of 2024. As of March 2024, >676 million cases, 6 million deaths, and 13 billion vaccine doses have been reported. It is crucial to evaluate sociopsychological impacts as well as public health indicators such as these to understand the effects of the COVID-19 pandemic.

Authors

Ryuichi Saito

Institute of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan.
Sho Tsugawa

Institute of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan.

Keywords

Artificial Intelligence Cities COVID-19 Humans Language Large Language Models Pandemics SARS-CoV-2 Social Media United States

External Resources

View on PubMed Access via DOI PubMed (39932775)

Understanding Citizens' Response to Social Activities on Twitter in US Metropolises During the COVID-19 Recovery Phase Using a Fine-Tuned Large Language Model: Application of AI.

Abstract

Authors

Keywords

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