A Perm scientist has developed models that make it possible to calculate destructive behavior.
Candidate of technical sciences Andrey Rabchevsky proposed his own method for identifying social network users who may be involved in extremism.
This was reported on the official website of PSU . According to the university press service, Rabchevsky became a co-author of a methodological manual dedicated to identifying extremist ideologies in social networks.
This method is based on a synthetic dataset, which was used to train the neural network.
Based on this, artificial intelligence gained the ability to identify social media users who may be involved in destructive movements.
It is noted that the search was carried out using the SEUS search system. The mentioned software was developed by the Perm company "Seuslab".
The candidate of technical sciences emphasized that a detailed description of the methodology is contained in his work.
Author: Irina Tint
