Innovative Applications of Artificial Intelligence in New Media Content Creation and Dissemination

Authors

  • Zian Xu

DOI:

https://doi.org/10.54691/dz2hgr20

Keywords:

Artificial intelligence technology; new media content creation; personalized dissemination.

Abstract

This study delves into the innovative applications of Artificial Intelligence (AI) technology in the realm of new media content creation and dissemination. Through rigorous theoretical analysis and practical case studies, it unveils how AI technology significantly enhances the efficiency and quality of content creation, enabling highly personalized information dissemination and precise marketing strategies. The research findings demonstrate the immense potential of AI in the new media landscape, enhancing the intelligence and personalization of content while propelling an overall intelligent transformation of the industry. This provides vital theoretical underpinnings and practical guidance for the future development of the new media sector.

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References

[1] You Lulu. Application of big data and AI technology in new media communication[J]. Integrated Circuit Application,2024,41(01):312-313.

[2] Huang Yao. Exploration of countermeasures for news media innovation and development in the era of artificial intelligence[J]. China Local and Municipal Newspaper People,2023,(11):29-30.

[3] Zheng Zhou orn. Research on innovation and development strategy of news media in the era of artificial intelligence[J]. China Newspaper Industry,2023,(17):220-221.

[4] Tian Haizhu. The impact of artificial intelligence on new media news product innovation[J]. China Newspaper Industry,2024,(11):132-133.

[5] Liu Dan. Countermeasures Suggestions for News Media Innovation and Development in the Era of Artificial Intelligence[J]. Journalism Research Guide,2021,12(12):136-138.

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Published

17-02-2025

Issue

Section

Articles

How to Cite

Xu, Z. (2025). Innovative Applications of Artificial Intelligence in New Media Content Creation and Dissemination. Frontiers in Humanities and Social Sciences, 5(2), 85-91. https://doi.org/10.54691/dz2hgr20