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How Media Exposure, Media Trust, and Media Bias Perception Influence Public Evaluation of COVID-19 Pandemic in International Metropolises

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  • Ruixia Han

    (School of Media and Communication, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai 200240, China
    Institute of Cultural Innovation and Youth Development, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai 200240, China)

  • Jian Xu

    (School of Media and Communication, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai 200240, China
    Institute of Cultural Innovation and Youth Development, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai 200240, China
    China Institute for Urban Governance, Shanghai Jiao Tong University, 1954 Huashan RD, Shanghai 200052, China)

  • David Pan

    (School of Media and Communication, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai 200240, China)

Abstract

International metropolises are key sites of outbreaks of COVID-19 cases. Global public evaluation of the pandemic in international cities is affected by many factors. This study examines how media exposure affects this evaluation and how media trust and media bias perception moderate the relationship between them. Based on an online survey of the evaluation of 13 international cities’ pandemic performances by 1171 citizens from 11 countries, this study conducted a multi-level stepwise regression analysis and discovered that: (1) different forms of media affect global citizens’ perceptions of international metropolis COVID-19 pandemic performance differently; and the role of traditional paper media, including newspapers and magazines, is of little significance in comparison to electronic media. (2) Among electronic media, TV and broadcasting have the greatest impact, followed by social media and the Internet. (3) Media trust and media bias perception affect people’s evaluations of international urban pandemics, but our survey reveals that they only function with regard to social media.

Suggested Citation

  • Ruixia Han & Jian Xu & David Pan, 2022. "How Media Exposure, Media Trust, and Media Bias Perception Influence Public Evaluation of COVID-19 Pandemic in International Metropolises," IJERPH, MDPI, vol. 19(7), pages 1-14, March.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:7:p:3942-:d:779951
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    References listed on IDEAS

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    1. Carlos Elías & Daniel Catalan-Matamoros, 2020. "Coronavirus in Spain: Fear of ‘Official’ Fake News Boosts WhatsApp and Alternative Sources," Media and Communication, Cogitatio Press, vol. 8(2), pages 462-466.
    2. John M. Barrios & Yael Hochberg, 2020. "Risk Perception Through the Lens of Politics in the Time of the COVID-19 Pandemic," NBER Working Papers 27008, National Bureau of Economic Research, Inc.
    3. Toan Luu Duc Huynh, 2020. "The COVID-19 risk perception: A survey on socioeconomics and media attention," Economics Bulletin, AccessEcon, vol. 40(1), pages 758-764.
    4. Cong Liu & Yi Liu, 2020. "Media Exposure and Anxiety during COVID-19: The Mediation Effect of Media Vicarious Traumatization," IJERPH, MDPI, vol. 17(13), pages 1-15, June.
    5. Baum, Matthew A., 2011. "Red, Blue, and the Flu: Media Self-Selection and Partisan Gaps in Swine Flu Vaccinations," Scholarly Articles 4696292, Harvard Kennedy School of Government.
    6. Jonathan S. Morris, 2007. "Slanted Objectivity? Perceived Media Bias, Cable News Exposure, and Political Attitudes," Social Science Quarterly, Southwestern Social Science Association, vol. 88(3), pages 707-728, September.
    7. Ruixia Han & Jian Xu, 2020. "A Comparative Study of the Role of Interpersonal Communication, Traditional Media and Social Media in Pro-Environmental Behavior: A China-Based Study," IJERPH, MDPI, vol. 17(6), pages 1-21, March.
    8. Turgut Karakose & Ramazan Yirci & Stamatios Papadakis & Tuncay Yavuz Ozdemir & Murat Demirkol & Hakan Polat, 2021. "Science Mapping of the Global Knowledge Base on Management, Leadership, and Administration Related to COVID-19 for Promoting the Sustainability of Scientific Research," Sustainability, MDPI, vol. 13(17), pages 1-22, August.
    9. Baum, Matthew A., 2011. "Red, Blue, and the Flu: Media Self-Selection and Partisan Gaps in Swine Flu Vaccinations," Working Paper Series rwp11-010, Harvard University, John F. Kennedy School of Government.
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