• The project manager is Master Bagitova Kalamkas Bagitovna

• Key members of the project group:

Mussiraliyeva Shynar Zhenisbekovna – Candidate of Physical and Mathematical Sciences

• Today, social networks have become an integral part of human life. Social networks are used not only for educational purposes, but also to promote the ideas of extremism. Using new information technologies, extremist organizations attract new members to the group online, plan and carry out extremist activities, conduct training, exchange confidential information in the management and coordination of socially dangerous activities, ideological propaganda, etc. That is, it is necessary to develop measures to ensure national security in line with current trends in the development of information and communication technologies, in particular, to organize measures to counter the growth of extremism and terrorism.

• The aim of the project is comprehensive studying and development of a model and method of detecting extremist texts in the Kazakh and Russian languages in social networks. The created model is based on multi-class classification of texts on political extremism, separatism, religious extremism, etc.

• The objectives of the project are as follows:

1. Creation of a corpus of extremist texts to identify extremist texts in Kazakh and Russian in social networks;
2. Development and research of methods for detecting accounts that disseminate malicious information in social networks;

• It is expected that the receive the following results at the entire stage of the project:
• At least 3 (three) articles will be published in journals and (or) other domestic peer-reviewed scientific publications recommended by the Committee of Science of the Ministry of Education and Science of the Republic of Kazakhstan (CCSES).
• A corpus of extremist texts will be compiled to identify extremist texts in Kazakh and Russian on social networks;
• There will be developed a model for classifying extremist texts on social networks, classifying class and sorting texts on political extremism, separatism, religious extremism and others.
• It will be develop methods to identify accounts that distribute malicious information on social networks.
• On the basis of the developed model and methods will be developed software to detect extremist texts in the Kazakh language on web resources.  

• Target consumers of the obtained results - fundamental results will be used by the world scientific community, methodologies, algorithms, applied results in the form of prototypes will be used by ensuring information security, critical infrastructure, competent authorities to prevent Internet extremism.