IDEAS home Printed from https://ideas.repec.org/a/rfa/smcjnl/v13y2025i3p432-441.html
   My bibliography  Save this article

Artificial Intelligence, Social Media and Information Disorder in China’s Information Ecosystem

Author

Listed:
  • Lishen Zhuang
  • Normahfuzah Ahmad

Abstract

Artificial Intelligence (AI) technologies have played a significant role in the production and spread of information. AI technologies along with social media brought the public huge amount of information, which greatly improves the efficiency of information acquisition among societies. However, as AI technologies continue to advance, new forms of misinformation and disinformation emerge and disrupt the information ecosystem, resulting in the rise of various forms of fake news and information disorder. This poses serious threat to the authenticity and credibility of information and undermines healthy development of journalism in light of changing technologies. Given the limitations of the conceptual definition of ‘fake news’, this study is guided by Claire Wardle’s broader and deeper framework of ‘information disorder’ and the Gatekeeper Theory. It adopts the qualitative method of in-depth interviews for data collection and utilizes thematic analyses to interpret its findings. The findings from this study expand ongoing literature on information disorder particularly within the fields of AI, social media and within the regional context of China.

Suggested Citation

  • Lishen Zhuang & Normahfuzah Ahmad, 2025. "Artificial Intelligence, Social Media and Information Disorder in China’s Information Ecosystem," Studies in Media and Communication, Redfame publishing, vol. 13(3), pages 432-441, September.
  • Handle: RePEc:rfa:smcjnl:v:13:y:2025:i:3:p:432-441
    as

    Download full text from publisher

    File URL: https://redfame.com/journal/index.php/smc/article/download/7792/6949
    Download Restriction: no

    File URL: https://redfame.com/journal/index.php/smc/article/view/7792
    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:rfa:smcjnl:v:13:y:2025:i:3:p:432-441. 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: 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.