意见动态中随着议题序列的推移真相如何胜出。
How truth wins in opinion dynamics along issue sequences.
机构信息
Center for Control, Dynamical Systems and Computation, University of California, Santa Barbara, CA 93106;
Department of Sociology, University of California, Santa Barbara, CA 93106.
出版信息
Proc Natl Acad Sci U S A. 2017 Oct 24;114(43):11380-11385. doi: 10.1073/pnas.1710603114. Epub 2017 Oct 10.
How truth wins in social groups is an important open problem. Classic experiments on social groups dealing with truth statement issues present mixed findings on the conditions of truth abandonment and reaching a consensus on the truth. No theory has been developed and evaluated that might integrate these findings with a mathematical model of the interpersonal influence system that alters some or all of its members' positions on an issue. In this paper we provide evidence that a general model in the network science on opinion dynamics substantially clarifies how truth wins in groups.
在社会群体中，真相如何获胜是一个重要的开放性问题。经典的关于社会群体中涉及真相陈述问题的实验在放弃真相和就真相达成共识的条件上得出了混合的结果。目前还没有发展和评估出一种理论，能够将这些发现与人际影响系统的数学模型相结合，该模型改变了其成员在某个问题上的一些或全部立场。在本文中，我们提供的证据表明，网络科学中关于舆论动态的一般模型在很大程度上阐明了真相如何在群体中获胜。
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