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Detecting Linguistic Markers of Violent Extremism in Online Environments

Detecting Linguistic Markers of Violent Extremism in Online Environments
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Author(s): Fredrik Johansson (Swedish Defence Research Agency (FOI), Sweden), Lisa Kaati (Uppsala University, Sweden)and Magnus Sahlgren (Gavagai, Sweden)
Copyright: 2017
Pages: 17
Source title: Artificial Intelligence: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-1759-7.ch118

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Abstract

The ability to disseminate information instantaneously over vast geographical regions makes the Internet a key facilitator in the radicalisation process and preparations for terrorist attacks. This can be both an asset and a challenge for security agencies. One of the main challenges for security agencies is the sheer amount of information available on the Internet. It is impossible for human analysts to read through everything that is written online. In this chapter we will discuss the possibility of detecting violent extremism by identifying signs of warning behaviours in written text – what we call linguistic markers – using computers, or more specifically, natural language processing.

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