arXiv · 2601.16181
Engineering polarization: How contradictory stimulation systematically undermines political moderation
Abstract
Political moderation, a key attractor in democratic systems, proves highly fragile under realistic information conditions. We develop a stochastic model of opinion dynamics to analyze how noise and differential susceptibility reshape the political spectrum. Extending Marvel et al.'s deterministic framework, we incorporate stochastic media influence $\zeta(t)$ and neuropolitically-grounded sensitivity differences ($\sigma_y > \sigma_x$). Analysis reveals the moderate population -- stable in deterministic models -- undergoes catastrophic collapse under stochastic forcing. This occurs through an effective deradicalization asymmetry ($u_{B}^{\text{eff}} = u + \sigma_y^2/2 > u_{A}^{\text{eff}}$) that drives conservatives to extinction, eliminating cross-cutting interactions that sustain moderates. The system exhibits a phase transition from multi-stable coexistence to liberal dominance, demonstrating how information flow architecture -- independent of content -- systematically dismantles the political center. Our findings reveal moderation as an emergent property highly vulnerable to stochastic perturbations in complex social systems.
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Renato Vieira dos Santos. 2026-01-22. Engineering polarization: How contradictory stimulation systematically undermines political moderation. https://doi.org/10.1016/j.chaos.2025.117554
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