Big Data Analysis in the Study of Radical Salafi Ideology in Russian Social Networks

The article explores the ideological discourse of radical Salafi online communities on the Russian Internet based on the analysis of big data uploaded from VKontakte social network. Identified as radical Salafi communities are divided into three types - moderate, fringe and radical. The study examines the main current radical narratives and discursive strategies of Salafi groups, changes in ideological discourse in comparison with the results of monitoring in previous years.

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Published
2025-04-01
DOI
https://doi.org/10.63550/iceip.2025.55.46.001
Primary Topic
Security, Politics, and Digital Transformation
Type
article
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article

Big Data Analysis in the Study of Radical Salafi Ideology in Russian Social Networks

Sergey Chudinov
Security, Politics, and Digital Transformation
article

Big Data Analysis in the Study of Radical Salafi Ideology in Russian Social Networks

Sergey Chudinov
article en

Abstract

The article explores the ideological discourse of radical Salafi online communities on the Russian Internet based on the analysis of big data uploaded from VKontakte social network. Identified as radical Salafi communities are divided into three types - moderate, fringe and radical. The study examines the main current radical narratives and discursive strategies of Salafi groups, changes in ideological discourse in comparison with the results of monitoring in previous years.

Siberian State University of Telecommunications and Information Science (RU)
Openalex Percentile: Top 92%
Security, Politics, and Digital Transformation
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Big Data Analysis in the Study of Radical Salafi Ideology in Russian Social Networks — Sergey Chudinov · (2025) | TGRS Research Map | TGRS