Cognitive Modeling of the Development of Social Tension on the Internet

Purpose of research. The purpose of this study is to identify the basic signs of social tension on the Internet in order to automatically identify the centres of its distribution, based on the results of cognitive modeling and ontological analysis.

Methods. Until recently, methods for detecting social tension in society were reduced to the analysis of the results of surveys. However, the shift of many communicative processes into the information space raises questions about the identification of new signs of social tension typical for the virtual environment, as well as about the identification of basic signs in the digital environment that could be detected automatically. In this article, by analyzing publications available in open sources related to offline methods of detecting social tension, analyzing the specifics of the Internet, a set of signs of social tension typical for the Internet environment is formed. On the basis of the formed set of signs, an ontology of signs of social tension on the Internet was formed, as well as a cognitive map of the development of the situation in the digital environment and a cognitive map of signs of social tension on the Internet. Impulse modeling was used to identify the basic stages of social tension and its basic signs.

Results. The main result of this work is a set of signs of social tension in the digital environment of the Internet, as well as the identified set of basic signs of social tension typical for the initial stages of the development of the situation, which is proved by the results of impulse modeling.

Conclusion. The conducted impulse modeling allows us to conclude that nonverbal expressions of negative emotions can be traced in the vast majority of active actions within the development of a situation of social tension on the Internet. Therefore, data analysis should first of all register the centres of information that accompany the identified signs, which will allow identifying sources of social tension on the Internet at an early stage of development.

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