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Targets of Terrorgram: The Who, What, and Where of Threatening Communication on Terrorgram.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Institutionen för data- och systemvetenskap.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Swedish Defence Research Agencey (FOI).
2026 (English)In: Advances in Social Networks Analysis and Mining: Proceedings of the 17th International Conference on Advances in Social Networks Analysis and Mining - ASONAM 2025 / [ed] Panagiotis Karampelas; Min-Yuh Day; I-Hsien Ting; Reda Alhajj, 2026, p. 3-12Conference paper, Published paper (Refereed)
Abstract [en]

This study analyzes propaganda from the Terrorgram Collective, a decentralized far-right network of Telegram channels and users

that promote violent accelerationism. Drawing from three key Terrorgram publications disseminated between 2021 and 2023, 393 instances of threatening communication have been extracted and analyzed. The threats are categorized along four analytical dimensions: type (general violence vs. specific plans), mode of communication (direct, indirect, veiled), target type (soft vs. hard), and target group. The analysis suggests that threats in Terrorgram publications are mainly directed at soft targets — i.e., individuals and minority communities —and primarily communicated through veiled or indirect language. Moreover, threatening communication in Terrorgram publications frequently includes operational guidance designed to encourage lone-actor violence.

Place, publisher, year, edition, pages
2026. p. 3-12
Series
Lecture Notes in Computer Science (LNCS), ISSN 0302-9743, E-ISSN 1611-3349 ; 16324
Keywords [en]
Terrorgram, threatening communication, violent extremism
National Category
Natural Language Processing
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-250923DOI: 10.1007/978-3-032-13509-4_1ISBN: 978-3-032-13509-4 (electronic)ISBN: 978-3-032-13508-7 (print)OAI: oai:DiVA.org:su-250923DiVA, id: diva2:2026133
Conference
The 17th International Conference on Advances in Social Networks Analysis and Mining - ASONAM 2025, 25-28 August, 2025, Niagara Falls, Canada.
Available from: 2026-01-08 Created: 2026-01-08 Last updated: 2026-01-19Bibliographically approved

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Lundmark, LukasHamich Andersson, AntoniaKaati, Lisa
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Total: 131 hits
CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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Language
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Output format
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  • asciidoc
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