Modeling of Legal Protection of Network Broadcasting Right of Sports Events Based on Data Technology

Abstract

In order to avoid the influence of uncertain factors on the network broadcasting of sports events, a legal protection model of network broadcasting right of sports events based on data technology is proposed. Based on the network broadcasting right of sports events itself, this paper analyzes the subject and object of the network broadcasting right of sports events, and establishes a “three-step” trial thinking model. Deploy the legal protection risk monitoring micro base station and integrate the data technology gateway module through data technology to complete the data collection of legal protection risk. After data standardization, establish the legal protection risk evaluation index system, obtain the comprehensive score of each risk index of sports events by using the principal component analysis method, and input data technology to realize the legal protection modeling of broadcasting rights. The experimental results show that this method has good risk prediction performance of legal protection of network broadcasting rights of sports events, the predicted value is almost consistent with the actual value, and has good protection effect.

A tripartite evolutionary game analysis of sports data rights protection from the perspective of stakeholder

“…Chinese scholars believe that the dilemma in justice is that it is impossible to characterize the behavior of network broadcasting of sports events, and it is difficult to regulate the behavior of network broadcasting through the existing institutional framework [2,3]. Foreign scholars have proposed a data technology-based legal protection model for the network broadcasting rights of sports events, which realizes the modeling of the legal protection of broadcasting rights by establishing a legal protection risk evaluation index system [4]. With the explosive growth of data volume around the world, the rational utilization and development of sports event data has attracted the attention of scholars from all walks of life.…”