AI RESEARCH
Pacing Opinion Polarization via Graph Reinforcement Learning
arXiv CS.LG
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ArXi:2602.23390v2 Announce Type: replace-cross Opinion polarization moderation has been studied mainly as an analytical optimization problem under the Friedkin Johnson FJ model, where intervention algorithms rely on linear steady state analysis and model specific derivations. While effective in narrowly structured settings, such methods scale poorly and do not naturally extend to richer intervention regimes.