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| Spatiotemporal Diffusion Analysis of Achievement Transformation Topics in Government Science and Technology News |
| Wang Yuefen1,2, Wang Liuhong2, Ba Zhichao3, Cen Yonghua1, Wang Qi2 |
1.Management School of Tianjin Normal University, Tianjin 300387
2.School of Economics and Management, Nanjing University of Science & Technology, Nanjing 210094
3.Laboratory of Data Intelligence and Interdisciplinary Innovation, Nanjing University, Nanjing 210023 |
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Abstract Government news on science and technology (Sci. & Tech. News) has become an important medium for publishing, promoting, disseminating, and diffusing scientific and technological policies. Currently, Chinese policy research focuses primarily on the policy itself and less on the role of the news in analyzing policy diffusion. Combining the complexity of the policy diffusion process and characteristics of Sci. & Tech. News, such as timeliness, conciseness, and extensiveness, this study attempts to explore the role of the government in Sci. & Tech. News diffusion, analyzing and characterizing the laws governing the policy diffusion process. First, sample and data crawling methods were used to collect and establish a database of Sci. & Tech. News. Subsequently, using manual coding and text mining methods, topics of science and technology achievement transformation were identified and combined with the elements of policy implementation to build a theoretical framework of topic association. Finally, the processes and characteristics of the spatial and temporal diffusion of Sci. & Tech. News on achievement transformation were studied considering the four diffusion dimensions of intensity, breadth, explosiveness, and distributiveness. It was determined that Sci. & Tech. News and policy topics display consistent proliferation characteristics. The role of Sci. & Tech. News in policy diffusion is significant, not only in terms of the immediate and comprehensive implementation of science and technology achievement transformation policies, but also in terms of reflecting the focus of the Ministry of Science and Technology on the concise and dynamic implementation of science and technology policies across provinces and cities. The proposed analysis is a generic scheme for the identification of spatial and temporal diffusion of Sci. & Tech. News topics, and the research was conducted to compensate for the shortcomings of policy diffusion studies that are based on policy text.
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Received: 02 September 2022
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