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Considerable time has been spent examining how groups like AQAP and ISIS used their online magazines to reach and radicalize individuals in Western democratic states. This paper continues this investigation but shifts its analysis to focus on the ‘how-to’ or instructional content of these publications, an understudied part of the literature. One of the stated goals of these magazines was to provide tactical know-how and assist supporters conducting terror plots in their home states. The question: did the tactics outlined in the magazines materialize in actual plots/attacks and how quickly were they put into practice? The paper examines this question by creating an overview of the tactics which appear in these publications and cross referencing them with a dataset of 166 Islamist-inspired homegrown terror plots/attacks in 14 Western democratic states to determine if, and when, they first appeared in relation to their publication date. It concluded that while some of the suggested strategies did appear following their publication, often it occurred after considerable time had elapsed. This suggests the instructional content did not resonate with readers in real time.

Extreme digital speech (EDS) is an emerging challenge that requires co-ordination between governments, civil society and the private sector. In this report, a range of experts on countering extremism consider the challenges that EDS presents to these stakeholders, the impact that EDS has and the responses taken by these actors to counter it. By focusing on EDS, consideration of the topic is limited to the forms of extreme speech that take place online, often on social media platforms and multimedia messaging applications such as WhatsApp and Telegram. Furthermore, by focusing on EDS rather than explicitly violent forms of extreme speech online, the report departs from a focus on violence and incorporates a broader range of issues such as hateful and dehumanising speech and the complex cultures and politics that have formed around EDS.

Hate groups are increasingly using multiple social media platforms to promote extremist ideologies. Yet we know little about their communication practices across platforms. How do hate groups (or “in-groups”), frame their hateful agenda against the targeted group or the “out-group?” How do they share information? Utilizing “framing” theory from social movement research and analyzing domains in the shared links, we juxtapose the Facebook and Twitter communication of 72 Southern Poverty Law Center (SPLC) designated hate groups spanning five hate ideologies. Our findings show that hate groups use Twitter for educating the audience about problems with the out-group, maintaining positive self-image by emphasizing in-group’s high social status, and for demanding policy changes to negatively affect the out-group. On Facebook, they use fear appeals, call for active participation in group events (membership requests), all while portraying themselves as being oppressed by the out-group and failed by the system. Our study unravels the ecosystem of cross-platform communication by hate groups, suggesting that they use Facebook for group radicalization and recruitment, while Twitter for reaching a diverse follower base.

In this paper we present a novel interactive multimodal learning system, which facilitates search and exploration in large networks of social multimedia users. It allows the analyst to identify and select users of interest, and to find similar users in an interactive learning setting. Our approach is based on novel multimodal representations of users, words and concepts, which we simultaneously learn by deploying a general-purpose neural embedding model. The usefulness of the approach is evaluated using artificial actors, which simulate user behavior in a relevance feedback scenario. Multiple experiments were conducted in order to evaluate the quality of our multimodal representations and compare different embedding strategies. We demonstrate the capabilities of the proposed approach on a multimedia collection originating from the violent online extremism forum Stormfront, which is particularly interesting due to the high semantic level of the discussions it features.

The alt-right is a growing radical right-wing network that is particularly effective at mobilizing emotion through digital communications. Introducing ‘white thymos’ as a framework to theorize the role of rage, anger, and indignation in alt-right communications, this study argues that emotive communication connects alt-right users and mobilizes white thymos to the benefit of populist radical right politics. By combining linguistic, computational, and interpretive techniques on data collected from Twitter, this study demonstrates that the alt-right weaponizes white thymos in three ways: visual documentation of white victimization, processes of legitimization of racialized pride, and reinforcement of the rectitude of rage and indignation. The weaponization of white thymos is then shown to be central to the culture of the alt-right and its connectivity with populist radical right politics.

YouTube is by far the largest host of user-generated video content worldwide. Alas, the platform also hosts inappropriate, toxic, and/or hateful content. One community that has come into the spotlight for sharing and publishing hateful content are the so-called Involuntary Celibates (Incels), a loosely defined movement ostensibly focusing on men’s issues, who have often been linked to misogynistic views. In this paper, we set out to analyze the Incel community on YouTube. We collect videos shared on Incel-related communities within Reddit, and perform a data-driven characterization of the content posted on YouTube along several axes. Among other things, we find that the Incel community on YouTube is growing rapidly, that they post a substantial number of negative comments, and that they discuss a broad range of topics ranging from ideology, e.g., around the Men Going Their Own Way movement, to discussions filled with racism and/or misogyny. Finally, we quantify the probability that a user will encounter an Incel-related video by virtue of YouTube’s recommendation algorithm. Within five hops when starting from a non-Incel-related video, this probability is 1 in 5, which is alarmingly high given the toxicity of said content.