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Article

Investigating COVID-19 News before and after the Soft Lockdown: An Example from Taiwan

1
Department of Educational Psychology and Counseling, National Tsing Hua University, Hsinchu 30013, Taiwan
2
Institute of Learning Sciences and Technologies, National Tsing Hua University, Hsinchu 30013, Taiwan
3
International Intercollegiate Ph.D. Program (IPHD), National Tsing Hua University, Hsinchu 30013, Taiwan
*
Author to whom correspondence should be addressed.
Academic Editor: John Rennie Short
Sustainability 2021, 13(20), 11474; https://doi.org/10.3390/su132011474
Received: 5 September 2021 / Revised: 28 September 2021 / Accepted: 14 October 2021 / Published: 17 October 2021
(This article belongs to the Collection Public Health and Social Science on COVID-19)
COVID-19 caused an unprecedented public health crisis and was declared a global pandemic on 11 March 2020, by the World Health Organization. The Taiwanese government’s early deployment mitigated the effect of the pandemic, yet the breakout in May 2021 brought a new challenge. This study focuses on examining Taiwanese newspaper articles regarding the government response before and after the soft lockdown, collecting 125,570 articles reported by three major news channels from 31 December 2019, to 30 June 2021, and splitting them into four stages. Latent Dirichlet Allocation topic modeling and sentiment analysis were used to depict the overall picture of Taiwan’s pandemic. While the news media focused on the impact and shock of the pandemic in the initial stage, prevention measures were more present in the last stage. Then, to focus on the government response indicators, we retrieved 31,089 related news from 125,570 news articles and categorized them into ten indicators, finding the news centered on the fundamental measures that were taken early and that were transformed into advanced measures in the latest and hardest period of the pandemic. Furthermore, this paper examines the temporal distribution of the news related to each indicator with the support of a sentiment analysis of the news’ titles and content, indicating the preparation of Taiwanese society to confront the pandemic. View Full-Text
Keywords: COVID-19 pandemic; newspaper; government response; text mining; LDA; sentiment analysis; Taiwan COVID-19 pandemic; newspaper; government response; text mining; LDA; sentiment analysis; Taiwan
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MDPI and ACS Style

Kuo, H.-Y.; Chen, S.-Y.; Lai, Y.-T. Investigating COVID-19 News before and after the Soft Lockdown: An Example from Taiwan. Sustainability 2021, 13, 11474. https://doi.org/10.3390/su132011474

AMA Style

Kuo H-Y, Chen S-Y, Lai Y-T. Investigating COVID-19 News before and after the Soft Lockdown: An Example from Taiwan. Sustainability. 2021; 13(20):11474. https://doi.org/10.3390/su132011474

Chicago/Turabian Style

Kuo, Hsin-Yu, Su-Yen Chen, and Yu-Ting Lai. 2021. "Investigating COVID-19 News before and after the Soft Lockdown: An Example from Taiwan" Sustainability 13, no. 20: 11474. https://doi.org/10.3390/su132011474

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