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Optimally delivering prebunks minimizes misinformation spread. Algorithm 3 outperforms baselines in simulations, though real-world deviations exist.
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The study defines optimal prebunking as a minimax optimization problem. Algorithm 3, validated through simulations on Chung-Lu models, outperforms baseline methods but faces limitations in network structure assumptions and real-world deviations. Future work aims to extend prebunking optimization to entire social networks.