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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

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

The search string used for retrieving posts on Twitter uses keywords associated with citizens’ activities that were constrained by lockdowns and similar measures implemented in response to the COVID-19 pandemic, as described in the study by Saito and Haruyama [16]. These keywords are shown in Multimedia Appendix 1. The use of these specific keywords enables a coherent overview of the citizens’ psychological landscape from a macro perspective.

Ryuichi Saito, Sho Tsugawa

J Med Internet Res 2025;27:e63824