Medicine and Health

Public opinion in Japanese newspaper readers’ posts under the prolonged COVID-19 infection spread 2019–2021: contents analysis using Latent Dirichlet Allocation

H. Kasuga, S. Endo, et al.

This study conducted by Hideaki Kasuga, Shota Endo, Yusuke Masuishi, Tomoo Hidaka, Takeyasu Kakamu, and Tetsuhito Fukushima explores the evolution of public opinion during the COVID-19 pandemic by analyzing readers' posts from Japanese newspapers. It reveals critical insights into how awareness of the emergency has changed over time, emphasizing the importance of these posts in understanding societal perspectives on health challenges.

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Abstract

This study analyzed 1910 readers' posts from Japanese newspapers during four emergency declaration periods to understand long-term public opinion shifts during the COVID-19 pandemic. Using Latent Dirichlet Allocation, ten topics were identified and categorized into three themes: Life, Awareness of the Emergency, and Policy. Results showed a decrease in awareness of the emergency (r = −0.189, *p* < 0.000) over time, while other topics remained relatively stable. The study highlights the value of newspaper reader posts in capturing everyday public opinion and the need for long-term perspectives in addressing public health challenges.

Publisher

HUMANITIES AND SOCIAL SCIENCES COMMUNICATIONS

Published On

Aug 14, 2023

Authors

Hideaki Kasuga, Shota Endo, Yusuke Masuishi, Tomoo Hidaka, Takeyasu Kakamu, Tetsuhito Fukushima

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