A Study on Path Optimization of Digital Computing Methods in International Dissemination of Rural Revitalization Literature with High Quality Enhancement
Abstract
The dissemination of rural revitalization stories helps to promote mutual integration and communication between countries and enhance China's influence in the global governance system. This project combines digital computing methods, constructs an evaluation index system, and uses fuzzy hierarchical analysis and grey multilevel evaluation model to assess the effect of international dissemination of rural revitalization literature. Then, combining correlation analysis and support vector machine model, it mines the relationship between each influencing factor and the international dissemination of rural revitalization literature, and thus proposes the optimization path of high-quality international dissemination of rural revitalization literature. The results show that the international dissemination effect of the sample rural revitalization literature is at an average level, with the overall score ranging from 1.57 to 3.96, among which 94.66% of the literary works have a score below 3.5. The factors that have the greatest influence on the international dissemination effect of rural revitalization literature are graphic type, cultural content and neutral attitude of content, with characteristic importance values of 0.089, 0.080 and 0.079 respectively.Based on this, this paper proposes the communication strategy of diversifying the dissemination subject, civilianizing the dissemination content, and innovating the dissemination method, in order to promote the high-quality international dissemination of rural revitalization literature.
Fields of Study & Subjects
scientometrics and bibliometrics research
Publishing and Scholarly Communication
Cultural Insights and Digital Impacts
Publication details
- Journal / source
- International Journal of Computer Information Systems and Industrial Management Applications
- Volume
- 18
- Pages
- 17–17
- Publication date
- 9 January 2026
- Language
- EN