The Common Approach to Determination of the Destructive Information Impacts and Negative Personal Tendencies of Young Generation Using the Neural Network Methods for the Internet Content Processing

摘要

The paper considers determination of destructive information impacts and personal tendencies of young generation that predispose them to uncritical comprehension of the content with destructive components. An application of traditional manual and semi-automatic methods seems ineffective because of the huge amount of information in the Internet space. The paper proposes an approach using the technologies of psychological examination and artificial intelligence. It incorporates the technique to determine the tendency of social networks' users to acquire destructive information, the technique for classification of the social networks communities considering an existence of destructive impacts, and the technique for hypothetical detecting changes in the tendency of users to acquire information that may contain destructive components when interacting in social networks. The paper describes the experiments on highlighting the relation between the information that users provide in social networks and some of their psychological traits and states that may cause predisposition for non-critical acquisition and digestion of potentially destructive information.