Public Concern at International Sporting Events: Analysis of Hotspots and Expression Patterns in Complaint Texts

Prompt resolution of public demands contributes to a stable social environment for the smooth running of offline international sporting events. To gain a comprehensive understanding of the public concerns within international sporting events, this study utilizes online complaint data related to the Asian Games from the "Min Hu Wo Wei" platform in Zhejiang Province, China by applying artificial intelligence techniques such as large language models and BERTopic framework, in conjunction with domain knowledge-driven theoretical reasoning methods. We have developed a systemic analytical framework that combines "data and domain knowledge. The findings reveal that the most prevalent category of complaints related to the Asian Games is "urban planning and public facilities," while public grievances tend to concentrate on issues indirectly associated with the sporting event. Furthermore, this study further explores the hotspots of public complaints in the context of the "Asian Games", and utilizing a two-dimensional quadrant based on "publicity and relevance" to analyze the complaint regularity through expression patterns, and proposes corresponding governance strategies.