Assessment of quality of life in regions of Russia based on social media data
Autor: | Evgeniy V. Shchekotin, Darya Dunaeva, Mikhail Myagkov, Viacheslav L. Goiko |
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Rok vydání: | 2021 |
Předmět: |
Cultural Studies
History Россия Sociology and Political Science Scale (ratio) социальные сети Computer science 050601 international relations Quality of life (healthcare) 050602 political science & public administration цифровая социология Social media Political science качество жизни Geography (General) Social network business.industry 05 social sciences Data science 0506 political science Digital sociology цифровые методы G1-922 онлайн-активность благополучие business |
Zdroj: | Journal of Eurasian studies. 2021. Vol. 12, № 2. P. 182-198 Journal of Eurasian Studies, Vol 12 (2021) |
ISSN: | 1879-3673 1879-3665 |
Popis: | The article offers a new method of quality of life assessment based on online activities of social networks users. The method has obvious advantages (quickness of research, low costs, large scale, and detailed character of the obtained information) and limitations (it covers only the “digital population,” whereas the rural population is not included). The article dwells on the potential of social networks as a data source to analyze the quality of life; it also presents the results of an empirical study of online activities of the users of VK, the most popular Russian social network. Using the obtained data, the authors have calculated the quality of life index for 83 regions of the Russian Federation based on 19 parameters of economic, social, and political aspects of life quality. |
Databáze: | OpenAIRE |
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