Digital Transformation in the Smart City During Covid-19: Perceptions of Citizens

ABSTRACT

The article presents an analysis of the communicative behavior of actors in cyberspace during Covid-19. The novelty of this study lies in the fact that an algorithm is presented for determining the perception and track opinions and attitude changes of metropolitan residents in terms of digital transformation. The material included Russian-language data from social networks, video hosting services, microblogs, messengers, blogs, news, reviews, and forums. The data was collected at the beginning of the third wave of Covid-19 in Russia from June 2, 2021 to June 29, 2021. The study enabled identification of digital transformation aspects that were positively perceived by the residents of Moscow (RF) and found their support;and it also made possible to identify resources the emergence and development of which could lead to an increase in social tension. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.