IDEAS home Printed from https://ideas.repec.org/a/rfa/smcjnl/v12y2024i3p129-140.html
   My bibliography  Save this article

Hong Kong’s Media Representations of China amid COVID-19: A Corpus-Assisted Critical Discourse Analysis

Author

Listed:
  • Xiaolin Hu
  • Diyana Nawar Kasimon
  • Wan Anita Wan Abas

Abstract

Since the COVID-19 outbreak, many scholars have noted the significant value of studying media representations of the COVID-19 pandemic everywhere. However, when observing these research results, one will find that more research results are about the Western media, and there are few reports about the Chinese media on the COVID-19 pandemic. This study employs corpus-assisted critical discourse analysis to examine what kinds of discourse Hong Kong media use to represent China in the news. The Sing Tao Daily was chosen for the study because it has been in existence for a long time and has readers all over the world. Its coverage of China COVID-19 will affect Hong Kong people's perception of their motherland. Hong Kong is unique in that it has just recently returned to China. The Hong Kong media's coverage of mainland China will affect China's national image in the minds of Hong Kong people. This study aims to examine what discourses are used by the Hong Kong news media in their coverage of China's fight against the epidemic and what kind of national image of China is presented to the Hong Kong and global audiences. The analysis reveals that China is presented as a victim, and an advantageous cooperative country. China is a responsible big country that has assumed the responsibility of helping countries in difficulty and is a united country. China's actions have had a positive impact on global humanitarian ideology. This study illustrates how the media can effectively utilize discursive strategies to promote cooperation and build a country's image in the midst of a global health crisis.

Suggested Citation

  • Xiaolin Hu & Diyana Nawar Kasimon & Wan Anita Wan Abas, 2024. "Hong Kong’s Media Representations of China amid COVID-19: A Corpus-Assisted Critical Discourse Analysis," Studies in Media and Communication, Redfame publishing, vol. 12(3), pages 129-140, September.
  • Handle: RePEc:rfa:smcjnl:v:12:y:2024:i:3:p:129-140
    as

    Download full text from publisher

    File URL: https://redfame.com/journal/index.php/smc/article/download/6817/6588
    Download Restriction: no

    File URL: https://redfame.com/journal/index.php/smc/article/view/6817
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cao, Andy & Lindo, Jason M. & Zhong, Jiee, 2023. "Can social media rhetoric incite hate incidents? Evidence from Trump's “Chinese Virus” tweets," Journal of Urban Economics, Elsevier, vol. 137(C).
    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. Aridor, Guy & Jiménez-Durán, Rafael & Levy, Ro'ee & Song, Lena, 2024. "The Economics of Social Media," CEPR Discussion Papers 18821, C.E.P.R. Discussion Papers.
    2. Sabatini, Fabio, 2023. "The Behavioral, Economic, and Political Impact of the Internet and Social Media: Empirical Challenges and Approaches," IZA Discussion Papers 16703, Institute of Labor Economics (IZA).
    3. Jiménez Durán, Rafael & Muller, Karsten & Schwarz, Carlo, 2024. "The Effect of Content Moderation on Online and Offline Hate: Evidence from Germany’s NetzDG," CAGE Online Working Paper Series 701, Competitive Advantage in the Global Economy (CAGE).
    4. Carr, Joel & James, Jonathan & Clifton-Sprigg, Joanna & Vujic, Suncica, 2022. "Hate in the Time of COVID-19: Racial Crimes against East Asians," IZA Discussion Papers 15718, Institute of Labor Economics (IZA).

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:rfa:smcjnl:v:12:y:2024:i:3:p:129-140. 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: Redfame publishing (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.