IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i7p3942-d779951.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/7/3942/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/7/3942/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Murray, Gregg R. & Murray, Susan M., 2020. "Following Doctors’ Advice: Explaining the Issuance of Stay-at-Home Orders Related to the Coronavirus Disease 2019 (COVID-19) by U.S. Governors," OSF Preprints 92ay6, Center for Open Science.
    2. Shana Kushner Gadarian & Sara Wallace Goodman & Thomas B Pepinsky, 2021. "Partisanship, health behavior, and policy attitudes in the early stages of the COVID-19 pandemic," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-13, April.
    3. Jung Ki Kim & Eileen M Crimmins, 2020. "How does age affect personal and social reactions to COVID-19: Results from the national Understanding America Study," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-16, November.
    4. Wright, Austin L. & Sonin, Konstantin & Driscoll, Jesse & Wilson, Jarnickae, 2020. "Poverty and economic dislocation reduce compliance with COVID-19 shelter-in-place protocols," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 544-554.
    5. Bernhardt, Lea & Dewenter, Ralf & Thomas, Tobias, 2023. "Measuring partisan media bias in US newscasts from 2001 to 2012," European Journal of Political Economy, Elsevier, vol. 78(C).
    6. La, Viet-Phuong & Pham, Thanh-Hang & Ho, Manh-Toan, 2020. "Policy response, social media and science journalism for the sustainability of the public health system amid the COVID-19 outbreak: The Vietnam lessons," SocArXiv cfw8x_v1, Center for Open Science.
    7. Fathey Mohammed & Nabil Hasan Al-Kumaim & Ahmed Ibrahim Alzahrani & Yousef Fazea, 2023. "The Impact of Social Media Shared Health Content on Protective Behavior against COVID-19," IJERPH, MDPI, vol. 20(3), pages 1-16, January.
    8. Raza, Syed Ali & Masood, Amna & Benkraiem, Ramzi & Urom, Christian, 2023. "Forecasting the volatility of precious metals prices with global economic policy uncertainty in pre and during the COVID-19 period: Novel evidence from the GARCH-MIDAS approach," Energy Economics, Elsevier, vol. 120(C).
    9. Anindya Ghose & Beibei Li & Meghanath Macha & Chenshuo Sun & Natasha Ying Zhang Foutz, 2020. "Trading Privacy for the Greater Social Good: How Did America React During COVID-19?," Papers 2006.05859, arXiv.org.
    10. Dewenter, Ralf & Dulleck, Uwe & Thomas, Tobias, 2018. "The political coverage index and its application to government capture," Research Papers 6, EcoAustria – Institute for Economic Research.
    11. Bradley J. Larsen & Timothy J. Ryan & Steven Greene & Marc J. Hetherington & Rahsaan Maxwell & Steven Tadelis, 2022. "Using Donald Trump's COVID-19 Vaccine Endorsement to Give Public Health a Shot in the Arm: A Large-Scale Ad Experiment," Papers 2203.02625, arXiv.org, revised Mar 2022.
    12. Maxim Ananyev & Michael Poyker & Yuan Tian, 2021. "The safest time to fly: pandemic response in the era of Fox News," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(3), pages 775-802, July.
    13. Nicholas W. Papageorge & Matthew V. Zahn & Michèle Belot & Eline Broek-Altenburg & Syngjoo Choi & Julian C. Jamison & Egon Tripodi, 2021. "Socio-demographic factors associated with self-protecting behavior during the Covid-19 pandemic," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(2), pages 691-738, April.
    14. Shamima Akter & Shafia Shaheen, 2021. "Risk perception and the practices towards covid-19 among the garment workers in Bangladesh," Journal of Community Positive Practices, Catalactica NGO, issue 4, pages 61-85.
    15. John M. Barrios & Efraim Benmelech & Yael V. Hochberg & Paola Sapienza & Luigi Zingales, 2020. "Civic Capital and Social Distancing during the Covid-19 Pandemic," NBER Working Papers 27320, National Bureau of Economic Research, Inc.
    16. Bazzi, Samuel & Fiszbein, Martin & Gebresilasse, Mesay, 2021. "“Rugged individualism” and collective (in)action during the COVID-19 pandemic," Journal of Public Economics, Elsevier, vol. 195(C).
    17. Xia, Huosong & Wang, Yuan & Zhang, Justin Zuopeng & Zheng, Leven J. & Kamal, Muhammad Mustafa & Arya, Varsha, 2023. "COVID-19 fake news detection: A hybrid CNN-BiLSTM-AM model," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    18. Yating Chuang & John Chung-En Liu, 2020. "Who wears a mask? Gender differences in risk behaviors in the COVID-19 early days in Taiwan," Economics Bulletin, AccessEcon, vol. 40(4), pages 2619-2627.
    19. Dhaval Dave & Drew McNichols & Joseph J. Sabia, 2022. "Political violence, risk aversion, and population health: Evidence from the US Capitol riot," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(4), pages 1345-1384, October.
    20. Michael Heise, 2023. "The distribution of in‐person public K‐12 education in the time of COVID: An empirical perspective," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 20(2), pages 305-338, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:7:p:3942-:d:779951. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.