IDEAS home Printed from https://ideas.repec.org/a/jfr/wjel11/v15y2025i2p274.html
   My bibliography  Save this article

A Study of Mainstream Malaysian Media's Attitude and Its Changes on China's Belt and Road Initiative: A Corpus-based Critical Discourse Analysis (2018-2023)

Author

Listed:
  • Mingcheng Huang
  • Kasim, Z. M
  • Ali, A. M

Abstract

The period of 2018 to 2023 saw both four changes in the Malaysian government and a geopolitical game between great powers in the Asian-Pacific region. Especially, 2020 saw both change in the Malaysian government as well as the outbreak of COVID-19—inevitably affecting Malaysia's attitude towards the Belt and Road Initiative (BRI) both politically and economically. Hence, this study collects BRI reports from the mainstream Malaysian media—New Straits Times (NST)—from 2018 to 2023. Using corpus-based critical discourse analysis as the research framework, this study builds two target corpora for the periods of 2018-2019 and 2020-2023, respectively. Through comparative analysis of the reports amount, thematic terms, and concordance lines, this study examines NST's attitude towards the BRI and changes of attitude. The research findings firstly indicate a dynamic upward trend in NST's coverage of the BRI; secondly, the content of NST's reports shows a trend of diversification; and thirdly, while it expresses concerns about issues such as China's rise and challenges to security in the Southeast Asian region, NST's attitude towards the BRI remains positive overall, with no significant changes. This study explores Malaysia's attitudes towards the BRI from the perspective of news discourse analysis—providing both a perspective for enhancing mutual understanding between China and Malaysia, and further understanding of the status of China-Malaysia cooperation under the BRI.

Suggested Citation

  • Mingcheng Huang & Kasim, Z. M & Ali, A. M, 2025. "A Study of Mainstream Malaysian Media's Attitude and Its Changes on China's Belt and Road Initiative: A Corpus-based Critical Discourse Analysis (2018-2023)," World Journal of English Language, Sciedu Press, vol. 15(2), pages 274-274, March.
  • Handle: RePEc:jfr:wjel11:v:15:y:2025:i:2:p:274
    as

    Download full text from publisher

    File URL: https://www.sciedupress.com/journal/index.php/wjel/article/download/26186/16648
    Download Restriction: no

    File URL: https://www.sciedupress.com/journal/index.php/wjel/article/view/26186
    Download Restriction: no
    ---><---

    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:jfr:wjel11:v:15:y:2025:i:2:p:274. 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: Sciedu Press (email available below). General contact details of provider: http://wjel.sciedupress.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.