IDEAS home Printed from https://ideas.repec.org/a/igg/jismd0/v16y2025i1p1-23.html
   My bibliography  Save this article

Analyzing and Anticipating Cultural Transmission Pathways Through Short Video Networks

Author

Listed:
  • Meixia Li

    (Tianjin Normal University, China)

Abstract

Against the backdrop of Western media dominance, effectively disseminating Chinese culture and enhancing international understanding is increasingly important. This study introduces the gradient weighted dynamic correction (GWDC) algorithm—an adaptive optimization framework designed to improve the distribution of traditional cultural content on digital platforms. GWDC employs a dynamic time-decay factor to prioritize recent gradient information, reducing overfitting by 12% and increasing user engagement by 8–18%. The enhanced adaptive moment estimation with GWDC algorithm integrates adaptive moment estimation, improving learning efficiency by 20% on large-scale datasets. Validation on YouTube's Chinese cultural video corpus shows that the GWDC-based model achieves an 18% higher completion rate for technical content and a 25% reduction in regional cultural bias. These innovations offer a data-driven framework for cross-cultural communication and provide actionable insights for content creators, platform developers, and policymakers.

Suggested Citation

  • Meixia Li, 2025. "Analyzing and Anticipating Cultural Transmission Pathways Through Short Video Networks," International Journal of Information System Modeling and Design (IJISMD), IGI Global, vol. 16(1), pages 1-23, January.
    • Handle: RePEc:igg:jismd0:v:16:y:2025:i:1:p:1-23
    as

    Download full text from publisher

    File URL: https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJISMD.385150
    Download Restriction: no
    ---><---

    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:igg:jismd0:v:16:y:2025:i:1:p:1-23. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.