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Promoting Public Engagement during the COVID-19 Crisis: How Effective Is the Wuhan Local Government’s Information Release?

Author

Listed:
  • Yi Yang

    (College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Wen Deng

    (College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Yi Zhang

    (College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Zijun Mao

    (College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China)

Abstract

During times of public crises (such as COVID-19), governments must act swiftly to release crisis information effectively and efficiently to the public. This paper provides a general overview of the way that the Wuhan local government use Weibo as a channel to engage with their citizens during the COVID-19 pandemic. Based on the media richness, dialogic loop, and a series of theoretically relevant factors, such as content type, text length, and information source, we try to examine how citizen engage with their local government. By analyzing the data mining samples from Wuhan Release, the official Sina Weibo account of Wuhan’s local government, results show that, despite the unstable situation COVID-19 over the crisis, there exist three stages of a crisis on the whole. Combining the behavior of the government and the public, duration from 31 December 2019 to 19 January 2020 could be seen as the development period, then the outbreak period (30 January 2020 to 28 February 2020), and a grace period (29 February 2020 to19 April 2020). Public attention to different types of information changes over time, but curbing rumors has always been a priority. Media richness features partially influent citizen engagement. Text length is significantly positively associated with citizen engagement through government social media. However, posts containing information sources have a negative impact on citizen engagement.

Suggested Citation

  • Yi Yang & Wen Deng & Yi Zhang & Zijun Mao, 2020. "Promoting Public Engagement during the COVID-19 Crisis: How Effective Is the Wuhan Local Government’s Information Release?," IJERPH, MDPI, vol. 18(1), pages 1-17, December.
  • Handle: RePEc:gam:jijerp:v:18:y:2020:i:1:p:118-:d:468729
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    References listed on IDEAS

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    1. Ronald E. Rice & Douglas E. Shook, 1990. "Relationships Of Job Categories And Organizational Levels To Use Of Communication Channels, Including Electronic Mail: A Meta‐Analysis And Extension," Journal of Management Studies, Wiley Blackwell, vol. 27(2), pages 195-229, March.
    2. Richard L. Daft & Robert H. Lengel, 1986. "Organizational Information Requirements, Media Richness and Structural Design," Management Science, INFORMS, vol. 32(5), pages 554-571, May.
    3. King, Gary & Pan, Jennifer & Roberts, Margaret E., 2013. "How Censorship in China Allows Government Criticism but Silences Collective Expression," American Political Science Review, Cambridge University Press, vol. 107(2), pages 326-343, May.
    4. Deborah Agostino & Michela Arnaboldi, 2016. "A Measurement Framework for Assessing the Contribution of Social Media to Public Engagement: An empirical analysis on Facebook," Public Management Review, Taylor & Francis Journals, vol. 18(9), pages 1289-1307, October.
    5. Alejandro Sáez Martín & Arturo Haro de Rosario & María Del Carmen Caba Pérez, 2015. "Using Twitter for Dialogic Communication: Local Government Strategies in the European Union," Local Government Studies, Taylor & Francis Journals, vol. 41(3), pages 421-444, May.
    6. Rongyang Ma & Zhaohua Deng & Manli Wu, 2020. "Effects of Health Information Dissemination on User Follows and Likes during COVID-19 Outbreak in China: Data and Content Analysis," IJERPH, MDPI, vol. 17(14), pages 1-21, July.
    7. Graves, O. Finley & Flesher, Dale L. & Jordan, Robert E., 1996. "Pictures and the bottom line: The television epistemology of U.S. annual reports," Accounting, Organizations and Society, Elsevier, vol. 21(1), pages 57-88, January.
    8. Suebvises, Ploy, 2018. "Social capital, citizen participation in public administration, and public sector performance in Thailand," World Development, Elsevier, vol. 109(C), pages 236-248.
    9. Panagiotopoulos, Panos & Barnett, Julie & Bigdeli, Alinaghi Ziaee & Sams, Steven, 2016. "Social media in emergency management: Twitter as a tool for communicating risks to the public," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 86-96.
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    Cited by:

    1. Wen Deng & Yi Yang, 2021. "Cross-Platform Comparative Study of Public Concern on Social Media during the COVID-19 Pandemic: An Empirical Study Based on Twitter and Weibo," IJERPH, MDPI, vol. 18(12), pages 1-20, June.

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