Policymaking during COVID-19: Preemptive State Interventions and the Factors Influencing Policy Implementation Success

Choi, Seungkyu; Allgood, Michelle; Swindell, David

doi:10.1080/15309576.2022.2123837

Cited by 3 publications

(1 citation statement)

References 26 publications

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“…However, dissemination of exaggerated or false COVID-19 information can easily trigger social panic. To address this issue, scientific management mechanisms, including control and guidance, can ensure the accuracy and timeliness of news, reduce unfounded rumors and malicious hype, and guide the public in developing accurate perceptions of the COVID-19 situation [ 47 ]. Furthermore, news reports should include the latest developments on COVID-19, national prevention and control measures, and personal protection guidance.…”

Section: Theoretical Analysis and Hypothesesmentioning

confidence: 99%

The impact and management of internet-based public opinion dissemination during emergencies: A case study of Baidu News during the first wave of coronavirus disease 2019 (COVID-19)

Su,

Wang

2024

PLoS ONE

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Background and aims The coronavirus disease 2019 (COVID-19) public health emergency has had a huge impact worldwide. We analyzed news headlines and keywords from the initial period of COVID-19, and explored the dissemination timeline of news related to the epidemic, and the impact of Internet-based media on the public using lifecycle theory and agenda-setting theory. We aimed to explore the impact of Baidu news headlines on public attention during the first wave of COVID-19, as well as the management mechanism of regulatory departments for social public opinion. Methods We searched Baidu News using the keywords “Novel Coronavirus” and “COVID-19” from 8 January to 21 February 2020, a total of 45 days, and used Python V3.6 to extract news samples during the first wave of the epidemic. We used text analysis software to structurally process captured news topics and content summaries, applied VOSviewer V6.19 and Ucinet V6.0 to examine key aspects of the data. Results We analyzed the impact of Baidu News headlines on social opinion during the first wave of COVID-19 in the budding, spread, and outbreak stage of the information lifecycle. From clustering visualization and social network analysis perspectives, we explored the characteristics of Baidu News during the initial stage of the COVID-19. The results indicated that agenda-setting coverage through online media helped to mitigate the negative impact of COVID-19. The findings revealed that news reporting generated a high level of public attention toward a specific emergency event. Conclusions The public requires accurate and objective information on the progress of COVID-19 through Baidu News headlines to inform their planning for the epidemic. Meanwhile, government can enhance the management mechanism of news dissemination, correct false and inaccurate news, and guide public opinion in a positive direction. In addition, timely official announcements on the progress of the COVID-19 outbreak and responses to matters of public concern can help calm tensions and maintain social stability.

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Section: Theoretical Analysis and Hypothesesmentioning

confidence: 99%

The impact and management of internet-based public opinion dissemination during emergencies: A case study of Baidu News during the first wave of coronavirus disease 2019 (COVID-19)

Su,

Wang

2024

PLoS ONE

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What Has China Learned from Pandemics? The Evolution and Innovation of China’s Pandemic Response and Emergency Management Systems

Bian

Zhao

2023

Public Performance & Management Review

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U.S. state health agencies and organizational learning: An exploratory analysis of website accessibility during COVID-19

Allgood¹,

Frandell²

2023

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The COVID-19 pandemic has exposed the inaccessibility of government information and communication technologies (ICTs) for members of the disability community. Organizational learning around ICT accessibility can be impacted by factors influencing strategies and assumptions or values and norms. Using data collected over two time periods in 2021, we study how the accessibility of US state health agencies COVID-19 information and vaccine websites improve over time. We examine how time, state policies, and partisanship influence organizational learning around website accessibility. Our analysis determines that the longer a COVID-19 related website exists on the Internet, the less accessible the website. We also find that more extensive internal state accessibility policies are more correlated with websites that meet fundamental accessibility requirements. Additionally, we find that partisanship plays an unexpected role in meeting fundamental accessibility demands, although both state policies and politics do not influence if an ICT meets the best practices standards of accessibility. Our paper initiates a discussion around the factors that influence organizational learning about government website accessibility and points to future research questions where the primary ICT function is not influenced by a rapidly evolving pandemic.

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Policymaking during COVID-19: Preemptive State Interventions and the Factors Influencing Policy Implementation Success

Cited by 3 publications

References 26 publications

The impact and management of internet-based public opinion dissemination during emergencies: A case study of Baidu News during the first wave of coronavirus disease 2019 (COVID-19)

The impact and management of internet-based public opinion dissemination during emergencies: A case study of Baidu News during the first wave of coronavirus disease 2019 (COVID-19)

What Has China Learned from Pandemics? The Evolution and Innovation of China’s Pandemic Response and Emergency Management Systems

U.S. state health agencies and organizational learning: An exploratory analysis of website accessibility during COVID-19

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