THE USE AND IMPACT OF ARTIFICIAL INTELLIGENCE (AI) IN NEWS MEDIA PRODUCTION IN GUANGDONG PROVINCE, CHINA.

Authors

  • Shi Liping Lincoln University College, Petaling Jaya, Malaysia.
  • Manual Selvaraj Bexci Lincoln University College, Petaling Jaya, Malaysia.

Keywords:

Expressing Gratitude, Technology for Media, The Province of Guangdong, Artificially Intelligent (AI), News Broadcasting Production

Abstract

The purpose of this research is to investigate the potential effects that “artificial intelligence” (AI) might have on the media industry. The implications of incorporating artificial intelligence into different aspects of the television environment are investigated within the context of a comprehensive literature review that elucidates some of the most significant subjects and ideas. few of the numerous topics that are discussed in the study include marketing and advertising strategies, labour dynamics, content production and curation, ethical problems in the television business, and theoretical foundations. These are just few of the many topics that are addressed. A wide variety of topics are discussed, and these are just few of them. There is a substantial body of research that suggests artificial intelligence has had a significant impact on the media industry. The creation and curation of content, the analysis of data, the targeting of advertisements, the organisation of workforces, and the formation of ethical challenges are some of the things that fall under this area. There is a need for more study to address concerns around algorithmic prejudice, job loss, and privacy, despite the fact that artificial intelligence (AI) provides numerous advantages, like enhanced efficiency, customisation, and creativity. The results, when applied to tasks involving ethical AI, suggest approaches to increase both abilities and ethics respectively. The strategies in question are discussed in several papers and publications. This attempt is being undertaken with the expectation that it will assist in shedding light on knowledge gaps, methodological advancements, and regulatory ramifications. The results of this endeavour contribute to what is currently known and have an impact on the path that artificial intelligence will follow in the broadcast industry in the future.

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Published

2025-06-01