APPLICATION OF DECISION-MAKING AND COMPUTATIONAL LINGUISTIC METHODS FOR OVERALL ESTIMATION OF THE LEVEL OF SOCIAL TENSION

Abstract

Crisis events and information operations are major causes of increased tension in society. Sociological surveys are used to determine the level of tension arising in a group of people because of a particular event. But this method does not provide detailed information on changes in the level of tension associated with news events and their impact on the overall level of tension in society. This makes it difficult for public officials to make decisions in crisis situations.

The paper proposes a way to determine social tension based on data from social networks. An approach for usage of decision support tools for measuring social tension is considered. On the basis of the data collected from the social network a practical example of modeling the tension in Ukraine is carried out. Using the method of targeted dynamic evaluation of alternatives, a rating of news publications according to their influence on the increase in the general level of tension in society is obtained.