Siberian Federal University

Issue

Journal of Siberian Federal University. Humanities & Social Sciences. 2022 15 (12)

Authors

Karpova, Anna Yu.; Kuznetsov, Sergey A.; Savelev, Aleksei O.; Vilnin, Alexander D.

Contact information

Karpova, Anna Yu.: National Research Tomsk Polytechnic University Tomsk, Russian Federation; ; Kuznetsov, Sergey A.: National Research Tomsk Polytechnic University Tomsk, Russian Federation; Savelev, Aleksei O.: National Research Tomsk Polytechnic University Tomsk, Russian Federation; Vilnin, Alexander D.: National Research Tomsk Polytechnic University Tomsk, Russian Federation

Keywords

radicalization; extremism; extreme right; web mining; computational social science

Abstract

The aim of the research is to develop software prototypes for studying the mechanisms of extreme right online radicalization via using the Web Mining and AI methods. We consider online radicalization as a process of transition from non-violent forms of expressing opinion online to committing violent acts offline. Online forums are becoming a “course-book” on toxic behavior and provide a cyber transition from traditional moderate political discourse to the radical rhetoric of the “hate speech”. To search targeted online communities we designed and implemented a unique algorithm for calendar-correlation analysis (CCA) of online community activity. The algorithm was tested on data from the Russian social network VKontakte. The CCA algorithm can be used as an additional tool for automated assessment of membership in extreme right ideology if having an appropriate knowledge base. We identified factors that significantly influence the efficiency of research automation on the online radicalization study

Pages

1738–1750

DOI

10.17516/1997-1370-0948

Paper at repository of SibFU

https://elib.sfu-kras.ru/handle/2311/149642

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).