# Data Element Sharing in Convergence Media Ecology Based on Evolutionary Game
## 2 Related Work  
In recent years, there has been a swift and substantial growth within the media industry. With the application of blockchain, artificial intelligence, big data, cloud computing and other technologies in the convergence media ecology, the convergence media ecology has made certain progress in digital copyright protection, content review and content traceability, and the development of the convergence media ecology has continued to mature [38, 39, 40, 41, 42]. [PERSON] et al. propose that blockchain-based convergence media leverages blockchain's features to enhance the media industry, and they outline a sustainable convergence media ecology built on blockchain and introduce a consensus mechanism named PoE for this context [43]. [PERSON] et al. introduced a practical method that integrates cloud computing and social media analytics to effectively supervise and manage government policies with public engagement, and their approach proved successful in testing for the implementation of GST by the Indian government, showcasing its utility in efficient policy formulation and execution [44]. With the continuous improvement of the media ecosystem, great changes have taken place in the media industry in terms of content production methods, forms of expression, communication mechanisms, operation and maintenance management [45, 46]. [PERSON] states that the proportion of traditional media and new media in the field of news has changed significantly, and in order to achieve sustainable development, media should innovate and optimize their business philosophy and mode of operation, improve the theoretical and practical level of news editing, use modern consciousness to edit news, and achieve their own progress through integration and innovation [47]. [PERSON] et al. explain that media convergence involves processing information from different sources and applying it to various domains, but conventional knowledge graphs struggle with multimedia features due to the introduction of extensive cross-modal information, which diminishes representation learning effectiveness and knowledge graph inference; they introduced a remedy through their Media Convergence and Rule-guided Joint Inference model (MCRJI) [48]. Evolutionary game theory combines game theory analysis with dynamic evolutionary process analysis, and it emphasizes a dynamic equilibrium differing from traditional game theory's focus on static equilibrium [49, 50, 51]. [PERSON] et al. developed a tripartite evolutionary game model encompassing the strategies of the service platform, government and consumers, proposing a governance mechanism to counteract the utilization of Big Data Discriminatory Pricing (BDDP) by the service platform and their study concluded with insights into effective service platform governance [52]. [PERSON] et al. introduced an evolutionary game theory approach for materialized view selection in data warehouses, utilizing a multi-view processing plan structure to encapsulate the problem's search space, and empirical assessments demonstrated its effective convergence in large data warehouses and efficient execution time [53]. [PERSON] et al. investigated regulators' and financial institutions' behavioral strategies and game outcomes using four constructed evolutionary game models, unveiling experimental results through numerical simulations of game interactions involving a commercial bank in China [54]. [PERSON] et al. applied evolutionary game theory to examine the symbiotic and antagonistic dynamics between rumors and anti-rumor efforts, presenting a quantitative model that comprehensively accounts for internal and external factors influencing user behavior during rumor propagation [55]. [PERSON] et al. integrated prospect theory and mental account theory into an evolutionary game model to analyze how reward and punishment strategies on shared platforms impact quality decision-making, offering valuable insights for enhancing shared manufacturing quality and its role in the manufacturing industry's transformation and development [56].