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The Impact of Artificial Intelligence on Intelligence Media Innovation: Evidence from Xiaohongshu Short-Video Platform in China

Author

Listed:
  • Yuanyan Li

    (Faculty of Social Sciences and Humanities, Universiti Malaysia Sabah)

  • Soon Fook Fong

    (Faculty of Social Sciences and Humanities, Universiti Malaysia Sabah)

  • Intan soliha Ibrahim

    (Faculty of Social Sciences and Humanities, Universiti Malaysia Sabah)

  • Liping Xu

    (Academy of Arts and Creative Technology, Universiti Malaysia Sabah)

Abstract

This study investigates the impact of artificial intelligence (AI) on intelligence media innovation, using the Xiaohongshu short-video platform in China as an empirical case. As AI technologies increasingly reshape digital media ecosystems, intelligence media platforms rely on algorithmic systems to optimize content production, recommendation, user engagement, and business model development. Drawing on a questionnaire survey of 210 rofessionals within the Xiaohongshu ecosystem, including content creators, editorial staff, platform managers, and technical personnel, this study examines how AI is integrated into media workflows and how such integration contributes to innovation outcomes. The findings reveal that AI plays a pivotal role in driving intelligence media innovation across multiple dimensions. AI-assisted content production, automated tagging, trend analysis, and recommendation algorithms significantly enhance workflow efficiency and support data-driven creative decision-making. Moreover, AI-driven personalization strengthens user engagement by delivering customized content, increasing interaction, retention, and overall platform competitiveness. The results also indicate that AI analytics facilitate business model innovation by enabling targeted advertising, influencer collaborations, and e-commerce integration. Although some respondents express concerns regarding content homogenization and over-reliance on algorithms, the overall evidence suggests that AI functions as an effective enabler of innovation when combined with human creativity and oversight. his study contributes empirical insights into AI-enabled intelligence media innovation and provides practical implications for digital media platforms seeking sustainable and intelligent development.

Suggested Citation

  • Yuanyan Li & Soon Fook Fong & Intan soliha Ibrahim & Liping Xu, 2026. "The Impact of Artificial Intelligence on Intelligence Media Innovation: Evidence from Xiaohongshu Short-Video Platform in China," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 10(2), pages 834-843, February.
    • Handle: RePEc:bcp:journl:v:10:y:2026:i:2:p:834-843
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    References listed on IDEAS

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    1. Elisabeth Baia & João J Ferreira & Ricardo Rodrigues, 2020. "Value and rareness of resources and capabilities as sources of competitive advantage and superior performance," Knowledge Management Research & Practice, Taylor & Francis Journals, vol. 18(3), pages 249-262, July.
    2. Duan, Yanqing & Edwards, John S. & Dwivedi, Yogesh K, 2019. "Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda," International Journal of Information Management, Elsevier, vol. 48(C), pages 63-71.
    3. Geissinger, Andrea & Laurell, Christofer & Öberg, Christina & Sandström, Christian, 2023. "Social media analytics for innovation management research: A systematic literature review and future research agenda," Technovation, Elsevier, vol. 123(C).
    4. Fengbo Bao & Siti Aishah Binti Hj Mohammad Razi & Megat Al Imran Bin Yasin, 2024. "A Case Study on the Transformation of Chinese Opera Radio under the Ecological Environment of Media Integration," Studies in Media and Communication, Redfame publishing, vol. 12(1), pages 124-131, March.
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