Decoding Hate: Using Experimental Text Analysis to Classify Terrorist Content

This paper uses automated text analysis – the process by which unstructured text is extracted, organised and processed into a meaningful format – to develop tools capable of analysing Islamic State (IS) propaganda at scale. Although we have used a static archive of IS material, the underlying principle is that these techniques can be deployed against content produced by any number of violent extremist movements in real‑time. This study therefore aims to complement work that looks at technology‑driven strategies employed

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Mapping The Extremist Narrative Landscape In Afghanistan

On 29 February 2020, the Afghan Taliban signed a conditional peace agreement with the United States (US), a momentous occasion that was followed, six months later, by the inaugural round of negotiations between it and the Afghan government. This was the first-ever time the Taliban had officially engaged in talks with the Afghan government. Though this was an undeniably important step towards peace, the Afghan war has shown few signs of abating towards the end of 2020, with the Taliban

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