The genuine combination of data science and forensic linguistic approaches creates opportunities for the deployment of technical approaches in the investigation of extremist groups and individuals suspected of terrorism offences.
Extremist groups and terrorist organizations often create large information ecosystems which comprise of core material created by the organization themselves and the aligned content produced by supporters. In addition, organizations frequently curate a large volume of material which connects their specific purpose to a wider movement.
Hashing and analyzing vast archives of extremist and terrorist content through a forensic linguistic approach provides an evidence base for identifying and interpreting content posted online or located in the course of investigations.
This presentation will demonstrate how the vast array of extremist material has provided an evidence base for Authentic Concept Tagging (ACT) and the early steps in the development of the Mujahid Mind AI.