스포츠 분야에서의 생성형 AI 적용 방안: 키워드 네트워크 분석 활용 = Application of Generative AI in the Sports Field: Utilizing Keyword Network Analysis

다국어 초록 (Multilingual Abstract)

This study aims to explore the application of Generative AI in the sports industry using keyword network analysis. Specifically, academic research papers and newspaper articles were selected as representative sources reflecting theoretical research and practical applications, respectively. This study employs keyword network analysis to examine how Generative AI is utilized in each domain. A total of 206 academic papers from 78 journals and 161 newspaper articles from 50 media outlets were collected as research data. The keyword network analysis revealed that in academic research, “Big Data,” “Prediction,” “Learning,” and “Research” emerged as central keywords, indicating that AI-based game prediction and data analytics are key research topics.
In contrast, newspaper articles highlighted “Broadcasting,” “Robot,” “Media,” and “Solution,” suggesting that AI is being actively applied in sports broadcasting, media innovation, and automation technologies. This difference suggests that academic research focuses on AI’s theoretical advancements, while newspaper articles emphasize its practical applications in the industry. Future research should enhance empirical validation of AI-based sports technologies and foster stronger collaboration between researchers and industry professionals to explore practical implementation strategies in the sports industry.