IDEAS home Printed from https://ideas.repec.org/a/taf/jriskr/v19y2016i1p1-20.html
   My bibliography  Save this article

Swine flu and hype: a systematic review of media dramatization of the H1N1 influenza pandemic

Author

Listed:
  • Celine Klemm
  • Enny Das
  • Tilo Hartmann

Abstract

Highly disconcerting at the time, in retrospective, the 2009 H1N1 influenza pandemic looks like much ado about nothing. As a consequence, many accused the media of having created an artificial hype or hysteria around the new virus, thus contributing to unwarranted public fear. The current paper set out to examine the validity of such accusations. We integrated empirical findings on whether the media dramatized H1N1 on a global scale through systematically reviewing prior content-analytic studies. We developed a coding scheme specifying three indicators of dramatized media coverage that - together - inform about how mass media coverage about H1N1 may amplify risk perceptions in the public: (a) the volume of media coverage, (b) the media content presented, particularly an overemphasis of threat while neglecting measures of self-protection and (c) the tone of coverage. Results show that media attention was immense, that news content stressed threat over precautionary measures, while the pattern of coverage tonality remained nebulous due to conflicting findings. The present review also revealed a critical gap in existing knowledge about the tone of media coverage on H1N1, and discusses implications for future research on dramatization of public health risks by the media.

Suggested Citation

  • Celine Klemm & Enny Das & Tilo Hartmann, 2016. "Swine flu and hype: a systematic review of media dramatization of the H1N1 influenza pandemic," Journal of Risk Research, Taylor & Francis Journals, vol. 19(1), pages 1-20, January.
  • Handle: RePEc:taf:jriskr:v:19:y:2016:i:1:p:1-20
    DOI: 10.1080/13669877.2014.923029
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13669877.2014.923029
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13669877.2014.923029?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Katharine J. Mach & Raúl Salas Reyes & Brian Pentz & Jennifer Taylor & Clarissa A. Costa & Sandip G. Cruz & Kerronia E. Thomas & James C. Arnott & Rosalind Donald & Kripa Jagannathan & Christine J. Ki, 2021. "News media coverage of COVID-19 public health and policy information," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-11, December.
    2. Navarrete-Hernandez, Pablo & Rennert, Lindiwe & Balducci, Alessandro, 2023. "An evaluation of the impact of COVID-19 safety measures in public transit spaces on riders' Worry of virus contraction," Transport Policy, Elsevier, vol. 131(C), pages 1-12.
    3. Kazi Abdul, Mannan & Khandaker Mursheda, Farhana, 2020. "Knowledge, Attitude and Acceptance of a COVID-19 Vaccine: A Global Cross-Sectional Study," MPRA Paper 105236, University Library of Munich, Germany, revised 2020.
    4. Lejla Dervisevic & Leigh Raymond & Linda J. Pfeiffer & Jessica V. Merzdorf, 2021. "Trade-offs versus reassurance: framing competing risks in the 2016 Zika outbreak," Policy Sciences, Springer;Society of Policy Sciences, vol. 54(4), pages 729-747, December.
    5. Ayelet Pe’er & Michelle Slone, 2022. "Media Exposure to Armed Conflict: Dispositional Optimism and Self-Mastery Moderate Distress and Post-Traumatic Symptoms among Adolescents," IJERPH, MDPI, vol. 19(18), pages 1-17, September.
    6. Zhou, Min & Guo, Wei, 2021. "Social factors and worry associated with COVID-19: Evidence from a large survey in China," Social Science & Medicine, Elsevier, vol. 277(C).
    7. Sias, Richard & Starks, Laura T. & Turtle, H.J., 2023. "The negativity bias and perceived return distributions: Evidence from a pandemic," Journal of Financial Economics, Elsevier, vol. 147(3), pages 627-657.
    8. Thomas G. Safford & Emily H. Whitmore & Lawrence C. Hamilton, 2021. "Scientists, presidents, and pandemics—comparing the science–politics nexus during the Zika virus and COVID‐19 outbreaks," Social Science Quarterly, Southwestern Social Science Association, vol. 102(6), pages 2482-2498, November.

    More about this item

    Statistics

    Access and download statistics

    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:taf:jriskr:v:19:y:2016:i:1:p:1-20. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RJRR20 .

    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.