文章基本信息

标题：Biased perceptions explain collective action deadlocks and suggest new mechanisms to prompt cooperation
本地全文：下载
作者：Fernando P. Santos ; Simon A. Levin ; Vítor V. Vasconcelos 等
期刊名称：iScience
印刷版ISSN：2589-0042
出版年度：2021
卷号：24
期号：4
页码：1-26
DOI：10.1016/j.isci.2021.102375
语种：English
出版社：Elsevier
摘要：SummaryWhen individuals face collective action problems, their expectations about others' willingness to contribute affect their motivation to cooperate. Individuals, however, often misperceive the cooperation levels in a population. In the context of climate action, people underestimate the pro-climate positions of others. Designing incentives to enable cooperation and a sustainable future must thereby consider how social perception biases affect collective action. We propose a theoretical model and investigate the effect of social perception bias in non-linear public goods games. We show that different types of bias play a distinct role in cooperation dynamics. False uniqueness (underestimating own views) and false consensus (overestimating own views) both explain why communities get locked in suboptimal states. Such dynamics also impact the effectiveness of typical monetary incentives, such as fees. Our work contributes to understanding how targeting biases, e.g., by changing the information available to individuals, can comprise a fundamental mechanism to prompt collective action.Graphical abstractDisplay OmittedHighlights•Individuals often misperceive the real cooperation levels in a population•We model the impact of such biases in non-linear public goods games dynamics•False uniqueness and false consensus can lock groups in suboptimal states•Addressing perception biases can be more effective than typical monetary incentivesPsychology; Sociology; Decision Science