Examining the Viability of AI-Generated Content in Revolutionizing China's News and Communication Industry: A Case Study of Xinhua News Agency

Abstract

In recent years, artificial intelligence(AI for short)technology has continuously emerged and empowered various fields such as medical finance and e-commerce live broadcasting, but the development of enabling news and communication industry is currently lacking in discussion and attempts. This paper uses Xinhua News Agency as a case study and employs comparative and feasibility analysis methods to explore the challenges encountered during the digital transformation of the traditional news communication industry. It assesses the potential of AI-generated content (AIGC) to tackle these challenges, demonstrating AI's ability to enhance audience reach, improve content accuracy, and personalize news delivery. By examining the intrinsic connection between AI-generated content technology and the news communication process, this study underscores AI's pivotal role in driving unique digital transformation within the traditional news communication sector. Nevertheless, the paper acknowledges the current insufficiency of data supporting Xinhua News Agency's AI news production. Future research should prioritize the collection and analysis of case data to facilitate a more comprehensive discussion.

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