APPLICATION OF ARTIFICIAL INTELLIGENCE IN SPORTS NEWS DISSEMINATION OF PARIS OLYMPIC GAMES

Abstract

Since the Paris Olympics were the first to publish the "Olympic AI Agenda," artificial intelligence has been integrated into the entire news dissemination process. This thesis combines descriptive analysis, case study, and inductive methods to explore the specific applications and practices of artificial intelligence technology in sports news dissemination during the Paris Olympics. The study finds that AI technology plays a significant role in various aspects, including news gathering, news production, news release, personalized push notifications, audience interaction, and data feedback. By leveraging AI-driven technologies such as slow-motion replay camera systems, OBSCloud broadcasting, AI news generation, AI news broadcasting and distribution, and AI personalized recommendations, the news production process has been significantly optimized, the efficiency of news dissemination has been enhanced, the modes of sports news dissemination have been enriched, and audience interaction has been improved. However, this research also discusses the obstacles associated with the use of AI technology, such as the decline of journalistic skills, questions about the authenticity and impartiality of AI-generated content, and concerns about user privacy protection. The study indicates that, while AI technology holds enormous promise in sports news dissemination, it is crucial to address the ethical and security challenges associated with its use to ensure the long-term growth of AI technology in future sports news dissemination.