Artificial Intelligence in the Production of Multimedia News in Chinese Journalism

Authors

  • Aina Duishekeeva
  • Jiaxing Fei Kyrgyz National University named after Jusup Balasagyn
  • Lingkun Xue
  • Shirin Kostiuk
  • Bingbing Zhao

DOI:

https://doi.org/10.19139/soic-2310-5070-3497

Keywords:

machine learning, content, digital media, media platforms, digitalisation

Abstract

The relevance of this research is driven by the rapid implementation of artificial intelligence in the production of multimedia news within Chinese journalism, which is transforming traditional approaches to the creation, distribution, and perception of information. The aim of the study was to investigate the specifics of applying artificial intelligence in the process of creating multimedia news in Chinese journalism and to assess its impact on the organisation of media production and content formation. The research methodology was based on a combination of case analysis, analytical generalisation, systemic, structural-functional, and analytical-prognostic approaches, as well as conceptual modelling, which ensured a comprehensive study of AI integration into multimedia content production in Chinese journalism. Comparative analysis revealed that the level of automation in multimedia content production depends on the material format: textual and audio materials are predominantly semi-automated and require editorial control, whereas video and interactive formats demonstrate a high degree of automation, accelerating production and enhancing audience engagement. Case analysis of the Tencent News, ByteDance, and Xinhua Net platforms identified different strategies for utilising artificial intelligence: Tencent News focuses on efficiency and style standardisation, ByteDance on personalisation and interactivity, and Xinhua Net on content authenticity control and quality. A systemic analysis of the interaction of Natural Language Processing technologies, generative models, computer vision, and artificial intelligence (AI)-powered editing showed that comprehensive integration enables the creation of high-quality multimedia products, scaling of production, and adaptation of content to audience needs. Simultaneously, an analysis of risks and limitations demonstrated that the use of artificial intelligence is accompanied by ethical, social, and security challenges, including algorithmic biases, content generation errors, the formation of “filter bubbles”, and potential information manipulation. The results of the study may be useful to media platforms, journalists, editors, developers of AI technologies for media, as well as researchers in the field of digital communications and media analytics.

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Published

2026-07-03

How to Cite

Duishekeeva, A. ., Fei, J., Xue, L. ., Kostiuk, S. ., & Zhao, B. . (2026). Artificial Intelligence in the Production of Multimedia News in Chinese Journalism. Statistics, Optimization & Information Computing. https://doi.org/10.19139/soic-2310-5070-3497

Issue

Online First

Section

Research Articles

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Copyright (c) 2026 Aina Duishekeeva, Jiaxing Fei, Lingkun Xue, Shirin Kostiuk, Bingbing Zhao

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