The synchronization of collective beliefs: From dyadic interactions to network convergence.
The synchronization of collective beliefs: From dyadic interactions to network convergence.
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DOI：
10.1037/xap0000265
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发表时间：
2020-01
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影响因子：
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通讯作者：
Madalina Vlasceanu;Michael J. Morais;Ajua Duker;A. Coman
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文献类型：
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作者：
Madalina Vlasceanu;Michael J. Morais;Ajua Duker;A. Coman
围绕宗教、政治和健康组织的信仰体系构成了人类社区的基石。这些集体持有的信念的一个核心特征是它们的动态性质。在这里，我们使用两阶段通信模型研究实验室创建的 12 成员网络中信念认可的动态。个人首先评估一组信念的可信度，然后在第一阶段，一些网络听取公共演讲者提到先前评估的信念的子集，而其他网络则完成分散注意力的任务。在第二阶段，所有参与者都在其网络内进行对话，讨论最初评估的信念。然后在谈话后和一周后测量可信度。我们发现公共演讲者通过改变助记符的可访问性来影响社区的信仰。这种影响是持久的，并通过随后的对话而放大，从而导致社区范围内的信念同步。这些发现指出了打击社交网络中错误信息的最佳社会认知策略。 （PsycINFO 数据库记录 (c) 2020 APA，保留所有权利）。
Systems of beliefs organized around religion, politics, and health constitute the building blocks of human communities. One central feature of these collectively held beliefs is their dynamic nature. Here, we study the dynamics of belief endorsement in lab-created 12-member networks using a 2-phase communication model. Individuals first evaluate the believability of a set of beliefs, after which, in Phase 1, some networks listen to a public speaker mentioning a subset of the previously evaluated beliefs while other networks complete a distracter task. In Phase 2, all participants engage in conversations within their network to discuss the initially evaluated beliefs. Believability is then measured both post conversation and after one week. We find that the public speaker impacts the community's beliefs by altering their mnemonic accessibility. This influence is long-lasting and amplified by subsequent conversations, resulting in community-wide belief synchronization. These findings point to optimal sociocognitive strategies for combating misinformation in social networks. (PsycINFO Database Record (c) 2020 APA, all rights reserved).