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Advances in digital technologies have provided ample positive impacts to modern society; however, in addition to such benefits, these innovations have inadvertently created a new venue for criminal activity to generate.

Combating Violent Extremism and Radicalization in the Digital Era is an essential reference for the latest research on the utilization of online tools by terrorist organizations to communicate with and recruit potential extremists and examines effective countermeasures employed by law enforcement agencies to defend against such threats. Focusing on perspectives from the social and behavioral sciences, this book is a critical source for researchers, analysts, intelligence officers, and policy makers interested in preventive methods for online terrorist activities.

Many countries have formulated strategies to combat radicalization, and regulating and monitoring recommendations on social network platforms is part of these strategies. This article explores the concept of radicalization and the proposed causal link between recommendations and radicalization, highlighting some of the key characteristics of recommendation engines. Based on this background potential risk mitigation measures can be identified that directly affect the recommendation engines. To conclude, some key problems and dilemmas for risk management are discussed.

Combating ISIS Online Panelists talked about *ISIS’ use of the Internet and social media to recruit supporters. They also addressed the U.S. government’s efforts to combat the terror group online. Other topics included whether internet and social media companies should be forced to identify and/or ban those suspected of promoting terror.

The Islamic State of Iraq and Syria (ISIS), the Islamic State of Iraq and the Levant (ISIL), or DAISH/DAESH in Arabic is a militant group that has called itself the Islamic State.

Profiling has its traditions in criminal investigations where it is used to assist in apprehending an offender by examining and attempting to understand his or her psychological motivations and personality. Terrorist specialists and theorists have applied traditional profiling techniques in hopes of distinguishing nonterrorists from terrorists and in an endeavor to understand the motivators for radicalization. However, these attempts have created a divide between the theorists resulting in contradictory data and debate. With the rise of social media, the methods of terrorism have changed. The Islamic State (IS) in particular has tapped into using media, not only to recruit, but as a form of technological combat, which in turn has added to their success and strength. This dissertation introduces the theory of Combat Branding. The findings of this dissertation suggest that it is possible to create a deductive profile of Western IS recruits by beginning with the examination of IS’s Combat Brand. This is a qualitative visual narrative study of official IS media consisting of video and still images. It is my hypothesis that starting with an analysis of the Combat Brand is a missing link to approaching a deductive profile of the intended target audience.

VOX-Pol Blog post.

This article examines algorithmic content moderation, using the moderation of violent extremist content as a specific case. In recent years, algorithms have increasingly been mobilized to perform essential moderation functions for online social media platforms such as Facebook, YouTube, and Twitter, including limiting the proliferation of extremist speech. Drawing on Katherine Hayles’ concept of “cognitive assemblages” and the Critical Security Studies literature, we show how algorithmic regulation operates within larger assemblages of humans and non-humans to influence the surveillance and regulation of information flows. We argue that the dynamics of algorithmic regulation are more liquid, cobbled together and distributed than it appears. It is characterized by a set of shifting human and machine entities, which mix traditional surveillance methods with more sophisticated tools, and whose linkages and interactions are transient. The processes that enable the consolidation of knowledge about risky profiles and contents are, therefore, collective and distributed among humans and machines. This allows us to argue that the cognitive assemblages involved in content moderation become a cobbled space of preemptive calculation.