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

This paper takes Guangdong TV news as the research object, discusses the application of artificial intelligence technology in the news industry and meets the needs of the audience. Through literature review, case analysis, and audience survey, this paper analyzes the specific practices of AI applications in Guangdong TV news in news production, distribution, and interaction, and evaluates the effectiveness of these applications in meeting audience content, form, and personalized needs. The study found that AI technology has significantly improved the efficiency and diversity of news production, and enhanced the accuracy and interactivity of news distribution, but still faces challenges in terms of technology, ethics and audience trust. In the end, this paper puts forward countermeasures and suggestions on strengthening technology research and development, improving regulations and standards and improving the media literacy of audiences, in order to provide reference for Guangdong TV news and AI application in the whole news industry.

KEYWORDS

Artificial Intelligence; Guangdong TV News; Audience Demand; News Production; Personalized Recommendation; Interactive

CITE THIS PAPER

Shi Liping, Manual Selvaraj Bexci, AI Application and Audience Demand Satisfaction in Guangdong TV News. Media and Communication Research (2025) Vol. 6: 135-142. DOI: http://dx.doi.org/10.23977/mediacr.2025.060118.

REFERENCES

[1] Anderson, C. W. (2013). Towards a sociology of computational and algorithmic journalism. New Media & Society, 15(7), 1005-1021.
[2] Linden, C. G. (2017). Algorithms for journalism: The future of news work. Journal of Media Innovations, 4(1), 60-76.
[3] Zhang Zhian, Zeng Zijin. (2020). The application and challenges of artificial intelligence in news production. In Journalism and Communication Research, 27 (3), 5-22.
[4] Yu Guoming, Yang Ya. (2019). The change and satisfaction of the audience's needs in the new media environment. Modern communication, 41 (5), 1-7.
[5] Wang Xiaohong. (2022). Exploration and practice of AI application of Guangdong TV news. Southern Media Research, 15 (2), 45-52.
[6] Li Ming. (2021). Research on audience news consumption behavior in Guangdong area. The Press, 12 (3), 33-40.
[7] Diakopoulos, N. (2019). Automating the News: How Algorithms Are Rewriting the Media. Harvard University Press.
[8] Chen Lidan, Li Guanchen. (2020). The ical dilemma and coping strategies of AI News. Journalism University, 38 (4), 12-20.
[9] Liu Peng, Wang Yuquan. (2021). Application and optimization of personalized recommendation algorithm in news communication. Journalism and Writing, 39 (6), 55-62.
[10] Wang Feiyue. (2020). Data security and privacy protection in the era of artificial intelligence. Information Security Research, 6 (2), 1-10. 
[11] Lewis, S. C., & Westlund, O. (2015). Big Data and Journalism: Epistemology, Expertise, Economics, and Ethics. Digital Journalism, 3(3), 447-466.
[12] Hu Yong. (2022). AI and the Future of Journalism: Opportunities and Challenges. News reporter, 41 (1), 4-12.

Sponsors, Associates, and Links

---

• Journal of Language Testing & Assessment
  
  
• Information and Knowledge Management
  
  
• Military and Armament Science
  
  
• Journal of Human Movement Science
  
  
• Art and Performance Letters
  
  
• Lecture Notes on History
  
  
• Lecture Notes on Language and Literature
  
  
• Philosophy Journal
  
  
• Science of Law Journal
  
  
• Journal of Political Science Research
  
  
• Journal of Sociology and Ethnology
  
  
• Advances in Broadcasting