Online Library

With the advent and subsequent growth of several new media technologies, violent extremist groups have incorporated social media into recruiting strategies. How are violent extremist groups using social media for recruiting? This thesis explores several new media technologies—websites, blogs, social media, mobile phones, and online gaming—to determine if violent extremist groups rely on social media for recruiting. By comparing the communication of al Qaeda and ISIS, this thesis concludes that violent extremist groups rely on social media, and they employ a wide range of new media technologies to attract and recruit new members. In some instances, virtual interaction still requires face-to-face communication to adequately recruit someone into a violent extremist group.

The polarizing tendency of politically leaned social media is usually claimed to be spontaneous, or a by-product of underlying platform algorithms. This contribution revisits both claims by articulating the digital world of social media and rules derived from capitalist accumulation in the post-Fordist age, from a transdisciplinary perspective articulating the human and exact sciences. Behind claims of individual freedom, there is a rigid pyramidal hierarchy of power heavily using military techniques developed in the late years of the cold war, namely Russia Reflexive Control and the Boyd’s decision cycle in the USA. This hierarchy is not the old-style “command-and-control” from Fordist times, but an “emergent” one, whereby individual agents respond to informational stimuli, coordinated to move as a swarm. Such a post-Fordist organizational structure resembles guerrilla warfare. In this new world, it is the far right who plays the revolutionaries by deploying avant-garde guerrilla methods, while the so-called left paradoxically appears as conservatives defending the existing structure of exploitation. Although the tactical goal is unclear, the strategic objective of far-right guerrillas is to hold on to power and benefit particular groups to accumulate more capital. We draw examples from the Brazilian far right to support our claims.

We analyze 26.2 million comments published in Arabic language on Twitter, from July 2014 to January 2015, when Islamic State of Iraq and Syria (ISIS)’s strength reached its peak and the group was prominently expanding the territorial area under its control. By doing that, we are able to measure the share of support and aversion toward the Islamic State within the online Arab communities. We then investigate two specific topics. First, by exploiting the time granularity of the tweets, we link the opinions with daily events to understand the main determinants of the changing trend in support toward ISIS. Second, by taking advantage of the geographical locations of tweets, we explore the relationship between online opinions across countries and the number of foreign fighters joining ISIS.

VOX-Pol Blog post.

Governments and companies are turning to automated tools to make sense of what people
post on social media, for everything ranging from hate speech detection to law enforcement
investigations. Policymakers routinely call for social media companies to identify and take
down hate speech, terrorist propaganda, harassment, “fake news” or disinformation, and
other forms of problematic speech. Other policy proposals have focused on mining social
media to inform law enforcement and immigration decisions. But these proposals wrongly
assume that automated technology can accomplish on a large scale the kind of nuanced
analysis that humans can accomplish on a small scale.

The PKK/KONGRA-GEL terrorist group makes extensive use of the internet, notably for propaganda. The prominent PKK websites are listed in a dataset which shows the way these sites relate to each other with links. An overview of their content is given, then various software and analysis tools, notably Unicet, are used to reveal different aspects of this network of Websites; Centrality Analyses to show prominence and hierarchical structure, Density and Geodesic Distances Analyses, and Connectivity Analyses.