The main purpose of the article is to study technologies of a smart city to identify the prospects for digital democracy and risks of digital totalitarianism. The basic methodological optics is the discourse analysis, which involves the identification and comparative analysis of various concepts on the selected issues. The supporting methodology was the Case Study principles and the big data analysis capabilities of the Google Trends platform. The article makes a theoretical contribution to the understanding of the algorithmic nature of modern political power, which is the basis of urban technopolitics, as well as the complex configuration of Policy and Politics. Algorithms, as the fundamental basis of digital applications and smart city technologies, are beginning to permeate the entire life of a citizen, closely intertwining with the mechanisms of digital control, rating, political decision-making, extraction, filtering and sorting of information data. It is particularly emphasized that the traditional social reality is transformed into a sociotechnical reality (the phygital world), in which it is no longer possible to rigidly separate the social from the technical. The conclusions indicate that digital democracy is possible only on the principles of open source, while digital totalitarianism, on the contrary, excludes such a model. Without the inclusion of smart citizens, the process of discussion and political decision-making, digital democracy is simply emasculated into a good, but still narrow service on the part of the authorities. In addition, without comprehensive programs in the field of political education, there will be no digital democracy, no smart citizens, only a smart elite will remain.
The aim of the article is to study the model of symbolic interactionism by the American sociologist Herbert Blumer and to identify the analytical elements that are most applicable to the political analysis of internet communications. The authors used the hermeneutic approach, including the identification of central premises in Blumer's model as well as an additional interpretation of such premises. Quantitative content analysis was used as an auxiliary methodological optics. The analysis demonstrated that the analytical tools of symbolic interactionism from the Chicago School (definitive and sensitizing concepts, exploration and inspection, etc.) can be effectively tailored and used for current research of internet communications in applied political science. The authors conclude that identifying the transaction process is the most important result of applying Blumer’s symbolic interactionism model to a study of social media communities by a political scientist. It is demonstrated that the conditions of social media require investigating the mechanism of behavior adaptation by each individual to the behavior of others. This gives an insight into the mechanism by which social life and the political regime are streamlined and stabilized.
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