Abstract

Introduction. Almost all significant social communications are moving to virtual spaces. Thus, environmental conflicts play an increasingly important role in public life, as civic activity in solving environmental problems grows. The development of eco-territorial conflicts and requests for their social reactions lead to the emergence of digital conflict zones, sectors of the media space in which the current environmental agenda is discussed by a wide range of users. The analysis of conflicts in the digital environment is truly relevant and can be performed using neural network technologies. Methodology. Big data obtained from social media has become an important source of analysis of social processes, behavioral characteristics, speech perception, society's assessment of events and phenomena. The purpose of the work was to determine the specifics of perception in the media space of environmental conflicts in urban planning and construction. To analyze digital content, a multimodal approach was used along with neural network technologies, text analysis, sentiment analysis, analysis of word associations. The research data was collected using Brand Analytics and the corpus Sketch Engine. Content analysis was carried out using the multilingual technology of neural networks TextAnalyst 2.3. and visual analysis using the Tableau platform. Results and Conclusions. As a result of the study, common and different signs of the development of digital conflict zones related to environmental problems in the Spanish, German and Russian-speaking media space were identified.

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