Authors
Alexander Branitskiy, Elena Doynikova, Igor Kotenko, Natalia Krasilnikova, Dmitriy Levshun, Artem Tishkov, Nina Vanchakova
Publication date
2020
Conference
Intelligent Distributed Computing XIII
Pages
302-310
Publisher
Springer International Publishing
Description
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 …
Total citations
20192020202120221142