EXPLORING CHINESE INTERACTION MODELS IN INTERNATIONAL SPORTS EVENTS THROUGH MULTI-CHANNEL DATA FUSION

Abstract

This study addresses the challenges of engaging Chinese-speaking audiences in international sports events due to fragmented communication models and limited media integration. A novel interaction model based on multi-channel data fusion is proposed to enhance information dissemination and user engagement. The model integrates data from traditional media, internet media, and social media into a cohesive platform, utilizing advanced data fusion techniques, microservices architecture, and technologies such as Docker, Kubernetes, and WebSocket for high availability and real-time interaction. Additionally, Nginx with the RTMP module and Akamai CDN ensures high-quality streaming services. Experimental results demonstrate the platform's effectiveness in data integration, content publishing, and real-time user interaction, significantly improving Chinese engagement in international sports events. This research provides practical strategies for event organizers to enhance communication, leading to higher audience satisfaction and participation, and contributes to the theoretical framework of sports event communication through innovative and inclusive practices.