Abstract
We are using a complex systems approach in a pilot project to create a data-driven real-time empirical analysis of the self-radicalisation phenomenon. The project, if successful, will generate actionable predictions about the likelihood that particular individuals of interest will become self-radicalised. In the pilot project, we use validated open source data to empirically test three hypotheses: individuals reveal their identity a personal signature through their texts; there exist tipping-point phenomena where identity may shift rapidly from one metastable state to another; and an individuals identity will show critical slowing down the characteristic dynamics that predict the approach of a tipping point.
Original language | English |
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Title of host publication | Terrorists' use of the internet: Assessment and Response |
Editors | Conway, M., Jarvis, L., Lehane, O., Macdonald, S., Nouri, L. |
Place of Publication | Australia |
Publisher | IOS Press |
Pages | 379-389 |
Volume | 136 |
Edition | 1st Edition |
ISBN (Print) | 978-1-61499-764-1 |
DOIs | |
Publication status | Published - 2018 |