Online Library

We use a postcolonial approach, through which we find that the transphobia espoused online following the attacks was predominantly transmisogynistic, a consequence of the colonial logics around gender which assign the monopoly of violence to white cisgender men. The main themes identified were the erasure of trans identities, particularly transmasculinity, the overlap between transmisogyny and other forms of discrimination, and the demonisation of trans people.

Does the internet enable the recruitment of transnational terrorists? Using geo-referenced population census data and personnel records from the Islamic State in Iraq and the Levant—a highly tech-savvy terrorist organization— this paper shows that internet access has facilitated the organization’s recruitment of foreign fighters from Tunisia. The positive association between internet access and Daesh recruitment is robust to controlling for a large set of observable and unobservable confounders as well as instrumenting internet access rates with the incidence of lightning strikes.

The Global Internet Forum to Counter Terrorism (GIFCT) Transparency Working Group (WG) was established in April 2020 as part of the GIFCT substantive Working Group structure. The Transparency WG’s objective is to develop best practices and easy access to resources that facilitate greater transparency from all relevant stakeholders while respecting privacy and human rights. Microsoft and Organization for Economic Co-operation and Development (OECD) representatives serve as co-leads for the WG. In support of its objective, a priority output for the WG is to provide recommendations to the GIFCT intended to help enhance the transparency of the organization and its activities. This report sets out those recommendations
as of June 2021.

VOX-Pol Blog post.

VOX-Pol Blog post.

This article examines how Da‘esh utilizes anashid (“Islamic songs” or “recitation”) as soundtrack elements within its video messaging, focusing primarily on a sample set of 755 videos released in 2015. The authors also present the development of an automatic content recognition (ACR) tool that enabled them to engage this large data set. The article then explores the possibilities of ACR for the identification of terrorist audio and video, utilizing the conclusions drawn from the trends of audio usage in Da‘esh video messaging to support the validity and promise of such an approach.