Abstract
The article presents a methodology for analyzing the perception of a situation on the basis of digital data using the social stress and well-being indices. The material for the study is data from social networks, microblogs, forums, blogs, video hosting sites, reviews on the construction of road transport facilities in Moscow (South-East Chord, Southern Beltroad (Reconstruction of Verkhniye Polya Street between Maryinsky Park Street and the Moscow Ring Road), North-East Chord). The study involves a cross-disciplinary approach. To interpret the content, neural network text analysis, content analysis, sentiment analysis and analysis of lexical associations were used. Social media data made it possible to conduct real-time analytics, analyze users’ perceptions and obtain a forecast on the further development of the situation around the analyzed urban development projects. The social stress and social well-being indices made it possible to characterize the communicative situation, taking into account the level of conflict potential and the dynamics of digital aggression, to identify the critical points in the conflict development and to determine the degree of the actors’ satisfaction with the course of construction.
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Kharlamov, A.A., Pilgun, M. (2023). Perception of the Situation: Social Stress and Well-Being Indices. In: Arai, K. (eds) Intelligent Systems and Applications. IntelliSys 2022. Lecture Notes in Networks and Systems, vol 544. Springer, Cham. https://doi.org/10.1007/978-3-031-16075-2_57
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