Detecting Linguistic Markers of Violent Extremism in Online Environments

View Sample PDF

Author(s): Fredrik Johansson (Swedish Defence Research Agency (FOI), Sweden), Lisa Kaati (Uppsala University, Sweden)and Magnus Sahlgren (Gavagai, Sweden)
Copyright: 2016
Pages: 17
Source title: Combating Violent Extremism and Radicalization in the Digital Era
Source Author(s)/Editor(s): Majeed Khader (Home Team Behavioural Sciences Centre, Ministry of Home Affairs, Singapore), Loo Seng Neo (Home Team Behavioural Sciences Centre, Ministry of Home Affairs, Singapore), Gabriel Ong (Home Team Behavioural Sciences Centre, Ministry of Home Affairs, Singapore), Eunice Tan Mingyi (Home Team Behavioural Sciences Centre, Ministry of Home Affairs, Singapore)and Jeffery Chin (Home Team Behavioural Sciences Centre, Ministry of Home Affairs, Singapore)
DOI: 10.4018/978-1-5225-0156-5.ch018

Keywords: Ethics & Law / Information Science Reference / Security & Forensics / Sociology

Purchase

View Detecting Linguistic Markers of Violent Extremism in Online Environments on the publisher's website for pricing and purchasing information.

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.

The IRMA Community

Research IRM

Detecting Linguistic Markers of Violent Extremism in Online Environments

Purchase

Abstract

Related Content

IRMA Sponsors