New Online Ecology of Adversarial Aggregates: ISIS and beyond
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Abstract (arXiv)
Support for extremist entities - whether from the far right, or far left - often manages to survive globally online despite significant external pressure, and may ultimately inspire violent acts by individuals having no obvious prior history of extremism. Examining longitudinal records of extremist online activity, we uncovered an ecology evolving on a daily timescale that drives online support, and we provide a mathematical theory that describes it. The ecology features self-organized aggregates (online groups such as on Facebook or another social media 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 online groups can be thwarted by targeting smaller ones.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 31 Mar 2016.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 0; 2024: 0; 2025: 2.
3 papers.
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- 2021Machine learning dismantling and early-warning signals of disintegration in complex systems7 Jan 2021