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VOX-Pol Blog post.

VOX-Pol Blog post.

The electoral success and increased media presence of the Far-Right ideology known as the Alternative Right has catapulted the once marginal fringe movement into popular political discourse. The term Alternative Right is used in contrast to Alt-Right, which is a specific subsection of the broader Alt-Right who are associated with Richard Spencer. This dissertation examines the theories that make up the Alternative Right by addressing the question: How have the divergent political theory traditions of the Alternative Right coalesced into a new reactionary political ideology?The first half of the dissertation defines the Alternative Right and the historical context for the movement. The dissertation defines the Alternative Right by its axioms of the right to difference, the primacy of cultural metapolitics and hierarchical individualism. The second half examines the four major intellectual influences of the Alternative Right: The Techno-libertarians know as the Grey Tribe, NeoReactionary Thought, the European New Right and the American White Nationalists. The dissertation concludes that the divergent political theory of the Alternative Right is unified based on its shared reactionary values, its break from American liberal-conservativism and a consistent focus on the literature of radicalization and critique. The goal of the Alternative Right is a rebirth of racial/gendered consciousness and a new American/European renaissance.

The gender dimension of violent extremism is under-studied; and “women terrorists” are stereotyped as either men’s dupes or (internet) warriors. Applying a gender lens, this study uses content analysis to examine Islamist extremist websites in Indonesia. Analysis reveals distinct recruitment language targeted at women and men, and rigid gender segregation of content and spaces. Extremists co-opt the language of women’s rights while also promoting gender-discriminatory harmful practices with the intent of establishing what they consider to be a more devout Islamic state. Gender analysis of online extremism has implications for strategies to counter and prevent radicalization to violence.

Support for an extremist entity such as Islamic State (ISIS) somehow manages to survive globally online despite considerable external pressure and may ultimately inspire acts by individuals having no history of extremism, membership in a terrorist faction, or direct links to leadership. Examining longitudinal records of online activity, we uncovered an ecology evolving on a daily time scale that drives online support, and we provide a mathematical theory that describes it. The ecology features self-organized aggregates (ad hoc groups formed via linkage to a Facebook page or analog) that proliferate preceding the onset of recent real-world campaigns and adopt novel adaptive mechanisms to enhance their survival. One of the predictions is that development of large, potentially potent pro-ISIS aggregates can be thwarted by targeting smaller ones.

Online hate and extremist narratives have been linked to abhorrent real-world events, including a current surge in hate crimes and an alarming increase in youth suicides that result from social media vitriol; inciting mass shootings such as the 2019 attack in Christchurch, stabbings and bombings; recruitment of extremists, including entrapment and sex-trafficking of girls as fighter brides; threats against public figures, including the 2019 verbal attack against an anti-Brexit politician, and hybrid (racist–anti-women–anti-immigrant) hate threats against a US member of the British royal family; and renewed anti-western hate in the 2019 post-ISIS landscape associated with support for Osama Bin Laden’s son and Al Qaeda. Social media platforms seem to be losing the battle against online hate and urgently need new insights. Here we show that the key to understanding the resilience of online hate lies in its global network-of-network dynamics. Interconnected hate clusters form global ‘hate highways’ that—assisted by collective online adaptations—cross social media platforms, sometimes using ‘back doors’ even after being banned, as well as jumping between countries, continents and languages. Our mathematical model predicts that policing within a single platform (such as Facebook) can make matters worse, and will eventually generate global ‘dark pools’ in which online hate will flourish. We observe the current hate network rapidly rewiring and self-repairing at the micro level when attacked, in a way that mimics the formation of covalent bonds in chemistry. This understanding enables us to propose a policy matrix that can help to defeat online hate, classified by the preferred (or legally allowed) granularity of the intervention and top-down versus bottom-up nature. We provide quantitative assessments for the effects of each intervention. This policy matrix also offers a tool for tackling a broader class of illicit online behaviours such as financial fraud.