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Research on Content Production Innovation of Media and Cultural Industry Driven by Artificial Intelligence

Siqi Xu

Abstract


Generative artificial intelligence, data driven algorithms and virtual digital technologies are being integrated into the production
processes of news and information, online audio visual services, digital publishing, film and television production and other sectors. They
transform media cultural content from linear processing into an interconnected model featuring data based topic selection, intelligent generation, human machine editing, algorithm driven distribution and interactive consumption. This paper analyzes its innovation mechanisms from
five dimensions: production generation workflow, topic selection development, collaborative creation, targeted communication and virtual
scenarios. It provides references for improving quality efficiency and innovating product forms within the media and cultural industry.

Keywords


Artificial Intelligence; Media and Cultural Industry; Content Production; Human Machine Collaboration; Intelligent Communication

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References


[1] Chang Jiang, Fang Jieyun. From Limited Connectivity to Technological Nostalgia: How Media Culture Achieves Digital Wellbeing[J].

Journal of Soochow University (Philosophy & Social Science Edition), 2026, 47(1):158171.

[2] Chang Jiang, Wang Hongkun. When Artificial Intelligence Imaginates: From Posthuman Media to New Renaissance[J]. Modern Communication (Journal of Communication University of China), 2024, 46(10):7987.

[3] Fu Xixi. From the Perspective of Technological Culture: Intelligent Mediacultural Production, Formation of Consumer Culture and Dialectical Reflection[J]. Theoretical Monthly, 2023, (5):105115.




DOI: http://dx.doi.org/10.70711/rcha.v4i8.10170

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