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This paper provides a broad summary of our current understanding of the role of the Internet in relation to extremist and terrorist networks. It covers the role of the Internet in radicalisation; the use of new technologies by extremists looking to organize and/or use violence, whether in a group or alone (including how this is changing the presence of women online); the ways in which the internet has been used as an operation tool by terrorists (to recruit, train, coordinate and communicate); and the range of policy responses, including the emerging priority area of counter-narratives to take on the dominant messages of extremists and challenge their legitimacy.

This study explores how the internet is used by individuals in the process of their radicalisation. It is based on primary data drawn from a variety of sources: evidence presented at trial, computer registries of convicted terrorists, interviews with convicted terrorists and extremists, as well as police senior investigative officers responsible for terrorist investigations.

Community Action for Preventing Extremism (CAPE) is Australia’s only not-for-profit counter-extremism project focused specifically on preventing a growth in right-wing extremism. By disseminating counter-narratives to extremism through the exitwhitepower.com website and directly engaging with individuals at-risk via social media, CAPE seeks to sow a seed of doubt that will reduce individual’s vulnerability to involvement in the far-right. This paper will outline CAPE’s practitioner experience in developing online interventions to challenge far-right narratives and the advantages of using this method of engagement. The paper will also outline distinctions between traditional white supremacist far-right groups and the increasingly active anti-Muslim groups, which create challenges for CAPE’s work in countering far-right online activity.

We have collected over 30M messages from the publicly available /pol/ message boards on 4chan and 8chan, and compiled them into a model of toxic language use. The trained word embeddings (±0.4GB) are released for free and may be useful for further study on toxic discourse or to boost hate speech detection systems: textgain.com/8chan.

VOX-Pol Blog Post.

VOX-Pol Blog Post.