PACIFIER is a graph RL framework that matches analytical solvers for minimizing polarization and outperforms baselines across multiple intervention regimes on real Twitter networks up to 155k nodes by training on small synthetic graphs.
Opinion optimization in directed social networks
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PACIFIER: Pacing Opinion Depolarization via a Unified Graph Learning Framework
PACIFIER is a graph RL framework that matches analytical solvers for minimizing polarization and outperforms baselines across multiple intervention regimes on real Twitter networks up to 155k nodes by training on small synthetic graphs.