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We characterize optimal protocols that balance learning with robustness to strategic manipulation and quantify the extent of both learning and manipulation through payoff bounds for each party. A simple class of protocols disciplines the sender and gives rise to behavioral patterns such as opinion polarization and decision avoidance. 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