Semantic representation and perception of network aggression: Urban digital communication

Abstract

The article presents the results of a study of digital content reflecting conflicting urban communications related to road construction in Moscow. The empirical base of the study was data from social networks, microblogs, blogs, messengers, forums, reviews, and videos dedicated to the construction of transport interchange hubs (TPU). Date of material collection: 1.08.19 00:00 — 30.09.19 23:59. We used a multimodal approach to analyze the content of social media using neural network technologies, text analysis, content analysis, sentimental analysis, and psycholinguistic techniques. As a result of the research, the analysis of residents’ perception of the implementation of these construction projects was carried out, as well as social stress in the construction areas was identified, and the risks of conflicts with the population of Moscow were assessed when planning and conducting construction works. The analysis showed that five objects (TPU Varshavskaya, TPU Dmitrovskaya, TPU Nekrasovka, TPU Pyatnitskoe shosse, TPU Ryazan) do not have risks during implementation, the content differs in the absence of aggression and social tension. TPU Nagatinskaya is characterized by an average degree of social stress. A high degree of social tension is caused by the projects of TPU Michurinsky Prospekt and TPU Khovrino. Thus, the analysis allowed us to predict the absence of conflicts with the population in the implementation of the projects of TPU Varshavskaya, TPU Dmitrovskaya, TPU Nekrasovka, TPU Pyatnitskoe highway, TPU Ryazan. The construction of TPU Nagatinskaya and TPU Khovrino causes social tension, but conflict is expected only in the virtual environment. The content of the TPU Michurinsky Prospekt should be defined as a conflict-prone digital zone with a high degree of social stress, and the escalation of conflict between residents and city authorities, builders, both in the online and offline space should be predicted.