Online Radicalisation Along a Continuum: From When Individuals Express Grievances to When They Transition into Extremism

  • Yeslam Al-Saggaf
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 255)


The aim of this paper is to propose a methodology to understand the grievances that radical groups could invoke to win the sympathy of youth, differentiate radicalised from non-radicalised individuals using signatures of personality and identify indicators of transition from radicalisation into extremism. The grievances of youth, techniques for identifying radicalised youth and indicators of transition to extremism have not been studied before. This is also the first time that a methodology for tracing radicalisation along a continuum (from when youth express grievances, to when they become radicalised, to when they transition into extremism) has been proposed. The methodology makes a significant contribution to the available strategies for studying online radicalisation.


Online radicalisation Extremism Terrorism Grievances Machine learning algorithms for text classification Stylometric signatures of personality Critical slowing down near tipping points 



The author wishes to thank Prof Terry Bossomaier (Charles Sturt University) for his contribution and A/Prof Patrick Walsh (Charles Sturt University) and Rachel MacCulloch (Charles Sturt University) for their helpful comments and suggestions.


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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  1. 1.School of Computing and MathematicsCharles Sturt UniversityWagga WaggaAustralia

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