AI RESEARCH
ControBench: An Interaction-Aware Benchmark for Controversial Discourse Analysis on Social Networks
arXiv CS.LG
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ArXi:2605.00513v1 Announce Type: cross Understanding how people argue across ideological divides online is important for studying political polarization, misinformation, and content moderation. Existing datasets capture only part of this problem: some preserve text but ignore interaction structure, some model structure without rich semantics, and others represent conversations without stable user-level ideological identity. We