# Data Element Sharing in Convergence Media Ecology Based on Evolutionary Game
## 1 Introduction
Data opening refers to the form of one-way data circulation in which the provider provides data free of charge and the demander obtains data free of charge without the participation of monetary media; data sharing refers to the form of two-way data circulation in which both supply and demand parties provide data to each other, roles can be changed, and there is no monetary medium involved; data trading refers to the form of one-way data circulation in which the provider provides data with compensation and the demander pays the acquisition fee, mainly using currency as the medium of exchange [16]. Data element circulation technology is mainly a technology to ensure the smooth circulation of data elements, such as data collection, data registration, data confirmation, data recommendation, data transmission, data storage, privacy protection, etc. [17]. Data element circulation system mainly includes a data value evaluation system, data ownership system, data use system, etc. [18]. These links have a new impact on the specific behavior of ecological nodes. At the same time, in order to ensure the normal operation of the entire data circulation system, the entire system must be under the regulation of relevant laws and industry standards. Data element circulation model is shown in Figure 1.  
Figure 1: Data element circulation model. In the convergence media ecology, each node can act as the producer of the data element and can also become the consumer of the data element [19]. Studying the sharing of data elements in the convergence media ecology is an important topic in the healthy development of the convergence media ecology, which can greatly improve the utilization rate of data resources and promote the overall value of data elements in the ecology. According to the special attributes of the media industry, the data element in the convergence media ecology can be mainly divided into the following categories [20; 21; 22; 23]:  
2. Content data are the core data of the convergence media ecology and also an important part of the circulation of data elements in the convergence media ecology. Generally, they can be divided into the following categories according to the data format [24; 25; 26]: 1. Literal data. Literal data are one of the most basic elements in the convergence media, including news, reports, comments, analysis and other text content.ar
3. Image data. Image data refer to non-text media, such as pictures and photos, which can be used to supplement and enrich the text content and improve the reading experience of readers. 4. Audio data. Audio data refer to the media content presented in the form of sound, including music, radio programs, podcasts, etc., which can convey information and emotion through sound. 5. Video data. Video data refer to the media content presented in the form of video, including news reports, movies, documentaries, etc., which can be conveyed through multiple dimensions, such as vision and sound. 6. Interactive data: These are the data describing the interaction between the content and users, including users' comments, likes and sharing of the content. Interactive data can help parties within the ecosystem to understand users' interests and feedback on content and improve the quality of content within the ecosystem. 7. Content copyright data: These include copyright ownership and authorization of original content, which can be recorded and stored safely using blockchain and other technologies so as to realize the protection and maintenance of content copyright data. 8. Value assessment data: These describe the value of content and user value, which can help parties within the ecosystem assess the value of content and the value of users. Value evaluation data can provide a basis for resource allocation and content recommendation within the ecology. 9. Advertising data: These include the display amount of advertising, clicks, conversion amount and other data, which can be safely recorded and stored so as to realize the credibility and transparency of advertising data [27]. 10.