Volume 9 - Issue 3
Determination of Young Generation’s Sensitivity to the Destructive Stimuli based on the Information in Social Networks
- Alexander Branitskiy
St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, St.Petersburg, Russia
branitskiy@comsec.spb.ru
- Dmitry Levshun
St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, St.Petersburg, Russia
levshun@comsec.spb.ru
- Natalia Krasilnikova
Pavlov First Saint Petersburg State Medical University, St.Petersburg, Russia
NataljaKrasilnikova@yandex.ru
- Elena Doynikova
St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, St.Petersburg, Russia
doynikova@comsec.spb.ru
- Igor Kotenko
St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, St.Petersburg, Russia
ivkote@comsec.spb.ru
- Artem Tishkov
Pavlov First Saint Petersburg State Medical University, St.Petersburg, Russia
artem.tishkov@gmail.com
- Nina Vanchakova
Pavlov First Saint Petersburg State Medical University, St.Petersburg, Russia
nvanchakova@gmail.com
- Andrey Chechulin
St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, St.Petersburg, Russia
chechulin@comsec.spb.ru
Keywords: social network, detection of destructive information impacts, sensitivity of young generation to destructive, stimuli, neural network, Ammon’s test, user profile, psychological scales
Abstract
The paper describes the developed technique to determination of young generation’s sensitivity to the
destructive stimuli based on the information provided by its representatives in the social networks.
The technique uses the methods of neural network processing of Internet content. The underlying approach
integrates the technologies of psychological examination and artificial intelligence. It allows
overcoming the challenge of manual processing of the huge amount of information. The proposed
technique can be further used for detection of destructive impacts in the Internet space and monitoring
of influence of these impacts on the social networks’ users. The paper shows the place of the
technique in this task. Implementation of the proposed technique for determination of sensitivity of
social networks’ users to destructive stimuli is described. The experiments that demonstrate existence
of the relation between information users provide in social networks and their sensitivity to
destructive stimuli are conducted and their results are analysed.