Department of Psychological Sciences, Purdue University.
Department of Psychological Sciences, University of Missouri.
Perspect Psychol Sci. 2024 Mar;19(2):465-476. doi: 10.1177/17456916231179152. Epub 2023 Jul 10.
Global climate change, the COVID-19 pandemic, and the spread of misinformation on social media are just a handful of highly consequential problems affecting society. We argue that the rough contours of many societal problems can be framed within a "wisdom of crowds" perspective. Such a framing allows researchers to recast complex problems within a simple conceptual framework and leverage known results on crowd wisdom. To this end, we present a simple "toy" model of the strengths and weaknesses of crowd wisdom that easily maps to many societal problems. Our model treats the judgments of individuals as random draws from a distribution intended to represent a heterogeneous population. We use a weighted mean of these individuals to represent the crowd's collective judgment. Using this setup, we show that subgroups have the potential to produce substantively different judgments and we investigate their effect on a crowd's ability to generate accurate judgments about societal problems. We argue that future work on societal problems can benefit from more sophisticated, domain-specific theory and models based on the wisdom of crowds.
全球气候变化、COVID-19 大流行以及社交媒体上错误信息的传播只是影响社会的少数几个后果严重的问题。我们认为,许多社会问题的大致轮廓可以用“群体智慧”的观点来描述。这种描述方式使研究人员能够在一个简单的概念框架内重新构建复杂的问题,并利用关于群体智慧的已知结果。为此,我们提出了一个简单的“玩具”模型,用于描述群体智慧的优缺点,该模型很容易映射到许多社会问题上。我们的模型将个体的判断视为从旨在代表异质人群的分布中随机抽取的结果。我们使用这些个体的加权平均值来表示群体的集体判断。使用这种设置,我们表明子组有可能产生实质性不同的判断,并且我们研究了它们对子群生成关于社会问题的准确判断的能力的影响。我们认为,未来关于社会问题的工作可以从基于群体智慧的更复杂、特定领域的理论和模型中受益。