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LLM Agents Predict Social Media Reactions but Do Not Outperform Text Classifiers: Benchmarking Simulation Accuracy Using 120K+ Personas of 1511 Humans

arXiv cs.CL · 2026-04-23 Cached

Large-scale study finds LLM agents can predict individual social-media reactions with 70.7 % accuracy but still lag behind simple TF-IDF classifiers, highlighting both manipulation risks and policy-simulation utility.

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