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Application and Strategy of AIGC in Omnimedia Knowledge Dissemination Under the Background of Digital Empowerment

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  • Xuelin Li

    (Chongqing College of International Business and Economics, Hechuan, China)

Abstract

In the context of digital empowerment, this paper explores the application and strategic approach of Artificial Intelligence Generated Content (AIGC) in enhancing omnimedia knowledge dissemination. By integrating deep learning and natural language processing (NLP) technologies, this study proposes an AIGC-driven omnimedia knowledge dissemination model designed to address issues such as low dissemination efficiency, insufficient personalization, and limited reach associated with traditional knowledge dissemination methods. Neural networks are employed for data processing and feature extraction, followed by the use of NLP technology to analyze the data and generate content tailored to user needs. In the omnimedia landscape, the paper presents a cross-platform mechanism for collaborative dissemination, leveraging AIGC to enable real-time updates and user feedback.

Suggested Citation

  • Xuelin Li, 2025. "Application and Strategy of AIGC in Omnimedia Knowledge Dissemination Under the Background of Digital Empowerment," International Journal of Knowledge Management (IJKM), IGI Global Scientific Publishing, vol. 21(1), pages 1-16, January.
    • Handle: RePEc:igg:jkm000:v:21:y:2025:i:1:p:1-16
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