Too Good to Be True – Individual and Collective Decision-Making with Misleading Signals
实验研究在信号可能相关且过多证据指向同一方向会误导人的信息环境中，个体与集体决策的表现，发现参与者整体表现不佳，但复杂环境反而促进异质群体中的诚实行为。
In many situations, an abundance of misleading evidence—such as fake customer reviews—can lead to false or deceptive conclusions. We experimentally investigate individual and collective decision-making in an information structure in which signals can be correlated, depending on the state of the world. In this setting, too much evidence pointing in one direction has the potential to mislead, necessitating a level of sophistication for rational decision-making. Overall, participants’ performance is poor with only small differences in collective and individual decision-making accuracy. Interestingly, the more complex environment tends to encourage greater honesty within heterogeneous groups than a benchmark setting with independent signals, thus corroborating a rather subtle game-theoretic prediction. This paper was accepted by Dorothea Kübler, behavioral economics and decision analysis. Funding: The authors received financial support from Tamkeen under NYU Abu Dhabi Research Institute Award CG005, from the Juniorprofessorenprogramm Baden-Württemberg, and from the Federal Ministry of Labour and Social Affairs (Germany) through the funding network Interdisciplinary Social Policy Research (BMAS-FIS). Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2024.06504 .