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Lone-wolf terrorism is a threat to the security of modern society, as was tragically shown in Norway on July 22, 2011, when Anders Behring Breivik carried out two terrorist attacks that resulted in a total of 77 deaths. Since lone wolves are acting on their own, information about them cannot be collected using traditional police methods such as infiltration or wiretapping. One way to attempt to discover them before it is too late is to search for various ‘‘weak signals’’ on the Internet, such as digital traces left in extremist web forums. With the right tools and techniques, such traces can be collected and analyzed. In this work, we focus on tools and techniques that can be used to detect weak signals in the form of linguistic markers for potential lone wolf terrorism.

The so-called Islamic State (IS) has always had a strong online presence. The purpose of most IS propaganda is to shape perceptions and polarise the support of their audience, but there are also other forms of communication from the group and its supporters. In this paper, we present an analysis of the content from two IS-aligned media outlet on Telegram that specialize in cybersecurity, privacy, and encrypted communications to assist IS supporters with security awareness. We have analyzed content for a period of 60 days (from February 9th to April 9th 2022) on the first media and 180 days (from July 15th 2024 to Jnuary 15th 2025) on the second media and categorized the type of content into four different categories. Most of the communication in the channel is about cyber security awareness and tools for secure communication. However, almost 30% of the conversations are about how to secure the community, avoid detection and maintain a presence online.