Education, Science, Technology, Innovation and Life
Open Access
Sign In

Research on the Innovative Practice of Guangdong TV News Driven by Artificial Intelligence

Download as PDF

DOI: 10.23977/jaip.2025.080115 | Downloads: 15 | Views: 461

Author(s)

Shi Liping 1, Manual Selvaraj Bexci 1

Affiliation(s)

1 Department of Mass Communication, School of Social Science, Arts, Psychology and Humanities, Lincoln University College, Selangor, Malaysia

Corresponding Author

Shi Liping

ABSTRACT

The rapid development of artificial intelligence technology has brought unprecedented opportunities and challenges to the traditional media industry. This paper takes Guangdong TV news as the research object to discusses the innovative application practice of artificial intelligence technology in its news production, communication and operation. Through case analysis, literature research and other methods, the innovation path, practical experience and challenges of Guangdong TV news driven by artificial intelligence are summarized, so as to provide reference for the integration and transformation of traditional media.

KEYWORDS

Artificial intelligence; Guangdong TV news; innovation practice; media convergence

CITE THIS PAPER

Shi Liping, Manual Selvaraj Bexci, Research on the Innovative Practice of Guangdong TV News Driven by Artificial Intelligence. Journal of Artificial Intelligence Practice (2025) Vol. 8: 109-118. DOI: http://dx.doi.org/10.23977/jaip.2025.080115.

REFERENCES

[1] Zhang Zhian, & Zeng Zijin. (2020). The application and challenges of artificial intelligence technology in news communication. Journalism and Communication Research, 27 (3), 5-18.
[2] Penlan. (2021). Media convergence: from technology-driven to ecological reconstruction. Modern communication, 43 (1), 1-7.
[3] Chen Lidan, & Li Zhimin. (2022). Change and innovation of news production in the era of artificial intelligence. Journalism University, 40 (2), 12-23.
[4] Yu Guoming, & Yang Ya. (2020). User portrait and accurate communication driven by artificial intelligence. News and Writing, 37 (4), 5-12.
[5] Hu Yong, & Zhang Yue. (2021). Data-driven news dissemination: opportunities and challenges. International press, 43 (5), 6-18. 
[6] Huang Shengmin, & Liu Shan. (2020). Precise advertising delivery and business model innovation in the era of artificial intelligence. Advertising View, 36 (2), 15-22.
[7] Chen Gang, & Li Hua. (2021). The precise delivery of digital advertising and user privacy protection. The press, 29 (3), 45-52.
[8] Li Ming, and & Wang Wei. (2022). Research on the application of blockchain technology in news copyright protection. Publication of Wide Point, 38 (4), 23-29.
[9] Zhang Xin, & Liu Yang. (2021). The collaborative application of artificial intelligence and blockchain technology in media copyright protection. Modern communication, 43 (6), 12-18.
[10] Wang Xiaohong, & Li Jing. (2022). Media convergence practice and innovation of Guangdong TV news. Southern Media Research, 30 (2), 45-53. 
[11] Liu Wei, & Chen Li. (2021). Research on the intelligent transformation path of Guangdong TV news. News lovers, 39 (5), 33-39. 
[12] Li Lun, and & Wang Jing. (2020). Ethical issues and governance paths of artificial intelligence news. Journalism and Communication Research, 27 (4), 22-35.
[13] Zhang Linghan. (2021). Algorithmic governance and legal regulation in the era of artificial intelligence. Legal Studies, 43 (2), 15-28.

Downloads: 15127
Visits: 485218

Sponsors, Associates, and Links


All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.