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.
Social influence and opinions.Journal of Mathematical Sociology, 15(3-4):193–206
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
Constraints on observing actions and limited attention in collective decisions spontaneously form echo chambers that lock groups into inaccurate states and make accuracy highly sensitive to social weighting.
citing papers explorer
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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.
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Messaging strategies and the emergence of echo chambers in collective decision-making
Constraints on observing actions and limited attention in collective decisions spontaneously form echo chambers that lock groups into inaccurate states and make accuracy highly sensitive to social weighting.