Abstract
The global trend of digitalization of social interaction has become the root cause of the global transformation of both the information environment in general and the patterns of information consumption and generation. Such transformation has led to a single digital information space emergence of the “Internet”. The hypothesis of this study is the assumption that all regional socio-economic systems are different, and there is one unique thing characterizing all of them – the information environment. The purpose of this study is to identify the unique content specifics of each region’s information environment in order to find individual thematic clusters, which may have exceptional geographical, social, economic etc. specifics, to analyze the presence of each individual cluster in the general news agenda of the regions to assess the distribution of certain topics in each region. The specificity of this research is manifested in a unique methodology built on the basis of the Python programming language. Using this tool, information units were collected from the regions’ information communities (news hubs). By means of an automatic algorithm, the information received from the communities (tokens) was divided into seven thematic clusters, which are described in detail.
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This research was funded by the Russian Science Foundation. Project No. 20-78-10123.
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Rodionov, D. et al. (2023). The Information Environment Cluster Distribution of the Regional Socio-Economic Systems in Transition Economy. In: Ilin, I., Petrova, M.M., Kudryavtseva, T. (eds) Digital Transformation on Manufacturing, Infrastructure & Service. DTMIS 2022. Lecture Notes in Networks and Systems, vol 684. Springer, Cham. https://doi.org/10.1007/978-3-031-32719-3_15
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