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Moonshot partnered with the Anti-Defamation League (ADL) to analyze US search traffic in response to the threats posed by white supremacist narratives and ideology in the US this past year. The dominant socio-political events of 2020-2021—the COVID-19 pandemic, the widespread BLM protests and counter-protests, and the presidential election—coalesced to create fertile ground for white supremacists and other violent extremist movements to mobilize and recruit. From 18 August 2020 – 7 March 2021, we recorded 511,759 white supremacist searches across the United States. We identified trends such as anti-Black search traffic, interest in anti-Semitic conspiracy theories, and a sustained appetite for “The Great Replacement” conspiracy theory. Ultimately, we found that offline events seemed to catalyze search traffic for extremist content online.

Objective: This paper applies Reinforcement Sensitivity Theory to explain the role of exposure to violent extremist content online in the wider psychological process of “radicalization.” Reinforcement Sensitivity Theory is a suitable theory to apply to this domain given that (a) the motivation to engage in violent extremism is widely discussed, yet motivational theories are rarely applied and (b) current risk factors for engagement in violent extremist behavior show a high degree of overlap with core Reinforcement Sensitivity Theory variables (e.g., impulsivity and social dominance). Method: This study uses an experimental design in which 479 participants from Amazon’s Mechanical Turk were randomly assigned one of two short vignettes (violent extremist/violent nonextremist) to frame the content of a social media-based behavioral task. The effect of exposure to violent extremist content online on intentions for political mobilization was measured via the Activism and Radicalism Intentions Scale. Results: While exposure to online violent extremist content did not increase tendencies for political mobilization, Behavioral Activation System traits were positively associated with the willingness to engage with violent extremist content online and with intentions for political mobilization. Conclusions: Behavioral Activation System traits provide a possible avenue to explain individual differences in the process of radicalization and the potential relevance of Reinforcement Sensitivity Theory for theories of radicalization provides further evidence that new knowledge that can be gleaned by applying established psychological theories to the study of radicalization.

The present article contends that terrorist activism on the Internet is determined by the technical configuration and ease of use of the tool. Engagement in Internet activities considered criminal offenses is not only explained by a progression in the level of radicalization of the individual. Rather, the type of barriers to entry which they must overcome plays a decisive role in the decision. The article classifies the various Internet spaces featuring terrorist content under the categories of “hard platforms” and “friendly platforms”. This differentiation will enable us to identify how the barriers to entry to such activism have evolved over the last two decades and how this evolution has been responsible for different levels of terrorist mobilization in cyberspace. The investigation focuses on jihadist terrorism and uses the antiterrorist operations carried out in Spain during the period 2001-2020 as a case study.

Objectives
Despite popular notions of “filter bubbles” and “echo chambers” contributing to radicalization, little evidence exists to support these hypotheses. However, social structure social learning theory would suggest a hereto untested interaction effect.
Methodology
An RCT of new Twitter users in which participants were randomly assigned to a treatment of “filter bubble” (personalization algorithm) suppression. Ego-centric network and survey data were combined to test the effects on justification for suicide bombings.
Findings
Statistically significant interaction effects were found for two proxies of the echo chamber, the E-I index and modularity. For the treatment group, higher scores on both factors decreased the likelihood for radicalization, with opposing trends in the control group.
Conclusions
The echo chamber effect may be dependent on the filter bubble. More research is needed on online network structures in radicalization. While personalization algorithms can potentially be harmful, they may also be leveraged to facilitate interventions.

Faced with YouTube’s continuous refusal to engage, Mozilla built a browser extension, RegretsReporter, that allows people to donate data about the YouTube videos they regret watching on the platform. Through one of the biggest crowdsourced investigations into YouTube, we’ve uncovered new information that warrants urgent attention and action from lawmakers and the public. We now know that YouTube is recommending videos that violate their very own content policies and harm people around the world — and that needs to stop.

This book constitutes a journey into the obscure field of sectarian-guided discourses of radical Islamist groups. It provides new insights into the ideological mechanisms utilized by such organizations to incite sectarian conflicts and recruit local and foreign guardians to their alleged cause. This book examines diverse aspects and dimensions of the discourses of Sunni-based ISIS and Shia-based al-Hashd al-Shaabi and explores manipulative and ideological discursive strategies utilized by media outlets associated with these groups. It delves into linguistic and contextual activities, implicit and explicit messages within the discourses of various media outlets operating in the heart of the Middle East. It also scrutinizes and explains aspects of politicization, religionization and sectarianization within the media discourse of terrorist groups in the digital era.