2026/05/04 by Sebastian Fehrler, Anna Hochleitner, Moritz Janas · 1 voice
Computer Science · Physics and Astronomy · Social Sciences · #Experimental Behavioral Economics Studies #Mobile Crowdsensing and Crowdsourcing #Opinion Dynamics and Social Influence
paper · doi:10.1287/mnsc.2024.06504
openalex publication_date 2026/05/04 · openalex created_date 2026/05/06 · openalex updated_date 2026/08/01
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 .