Author(s): ZHANG, G., YU, M. MU, Y. JIANG, S., Institution: HEILONGJIANG UNIVERSITY, Country: CHINA, Abstract-ID: 2156

With the rapid development of generative artificial intelligence (AIGC) technology, the production mode of sports content is undergoing profound changes. For niche sports with low attention, AIGC provides an efficient means of content generation, which can break the limitations of traditional media resources and attract more attention to these projects. However, the audience of niche sports often has unique interests and preferences, and the demand for content form and type is more delicate. The existing mainstream content generation strategy is difficult to fully adapt to the needs of such groups, resulting in the communication potential of niche sports has not been fully released. In this context, it is of great significance to study the users acceptance of niche sports AI-generated content and explore how the content presentation form affects user satisfaction. The study focuses on the needs of niche sports audiences and aims to reveal the adaptability of AI-generated content and its optimization path. Through a questionnaire survey, the study collected users satisfaction scores for different content forms and analyzed the relationship between user preferences and actual acceptance. The questionnaire design covers multiple key dimensions, including users attention to niche sports, satisfaction with different content forms such as short videos, graphic analysis and narrative articles, and preferences for specific content types (such as game commentary and athlete stories). The research data was collected through online questionnaires, covering a diverse group of different ages, genders and interest areas. These users have different levels of attention to niche sports, but they show certain commonalities and differences in their needs for content form and type. Data analysis uses a combination of factor analysis and group difference analysis. Factor analysis extracts key dimensions that affect user satisfaction, including the professionalism of content, the intuitiveness of form, and the resonance of emotion. At the same time, group difference analysis reveals the differences in preferences for content form among different user groups. The study found that user satisfaction with niche sports AI-generated content depends not only on the professionalism of the content itself, but also on the presentation form and individual user needs. As a way to quickly obtain information, short videos have a strong effect on attracting young users to pay attention to niche sports; while graphic analysis is more suitable for conveying tactical or data-related content, providing support for users who value rational analysis. The in-depth interpretation ability of narrative articles gives them a unique advantage in building cultural identity and historical heritage. Based on these analyses, this study proposes optimization suggestions for niche sports AI-generated content, including enhancing the diversity of content formats, integrating cross-format generation