Social Stress and an Urban Planning Conflicts that Changes the Historical Appearance of Megalopolis: Social Media Data

Abstract

Objectives: the aim of this project is to elaboration of  an algorithm for analyzing opinion mining and social stress on the material of social media data using the example of an urban planning conflict. Methods: to analyze the content of social media, a multimodal approach was used involving neural network technologies, text analysis, sentiment analysis, analysis of word associations  and content analysis. Findings: this algorithm has shown its effectivenessthe. Dynamics of communication processes in the information space around the project is characterized by an escalation of the conflict between residents, builders and city authorities. Data analysis suggests about the presence of social stress and further development of the conflict as the project progresses. Application: the results of the study can be used in urban planning policy to timely identify conflicts between the city authorities and citizens and to prevent the growth of social tension.