Privacy, Voting, and the Wisdom of Crowds
研究隐私担忧如何破坏群体智慧：当专家担心真实报告会招致报复时，增加专家人数反而可能降低信息聚合效果，而结合随机化回答与准确性奖励的机制能恢复诚实投票。
When Privacy Concerns Undermine the Wisdom of Crowds Organizations often rely on committees, internal experts, and employee reports to make high-stakes decisions. But experts may withhold or distort private information when truthful reporting could expose them to retaliation or other personal costs. In “Privacy, Voting, and the Wisdom of Crowds,” accepted at Operations Research, Ekaterina Astashkina, Ruslan Momot, and Marat Salikhov study how privacy concerns affect collective decision making. The paper shows that privacy concerns can break the usual wisdom-of-crowds logic: adding more experts may eventually reduce, rather than improve, information aggregation because each expert becomes less pivotal and more tempted to hide their signal. The authors characterize mechanisms that combine randomized response—garbling votes to provide plausible deniability—with accuracy-based rewards. These tools can restore truthful voting and, under appropriate conditions, allow organizations to recover near-perfect learning from expert groups.