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Online social media allows individuals to cluster around common interests -including hate. We show that tight-knit social clusters interlink to formresilient 'global hate highways' that bridge independent social networkplatforms, countries, languages and ideologies, and can quickly self-repair andrewire. We provide a mathematical theory that reveals a hidden resilience inthe global axis of hate; explains a likely ineffectiveness of current controlmethods; and offers improvements. Our results reveal new science fornetworks-of-networks driven by bipartite dynamics, and should apply morebroadly to illicit networks.

Social media cluster dynamics create resilient global hate highways