2023
DOI: 10.1177/17456916231187997
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Communities of Knowledge in Trouble

Abstract: The community-of-knowledge framework explains the extraordinary success of the human species, despite individual members’ demonstrably shallow understanding of many topics, by appealing to outsourcing. People follow the cues of members of their community because understanding of phenomena is generally distributed across the group. Typically, communities do possess the relevant knowledge, but it is possible in principle for communities to send cues despite lacking knowledge—a weakness in the system’s design. CO… Show more

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Cited by 1 publication
(2 citation statements)
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References 83 publications
(98 reference statements)
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“…Collectives can amplify or dampen individual emotions (Goldenberg, 2024), beliefs (Goldstone et al, 2024;Rabb et al, 2024;Vlasceanu et al, 2024;Warren et al, 2024), decision accuracy (Broomell & Davis-Stober, 2024;Martel et al, 2024), and cooperation tendencies (Fiedler et al, 2024).…”
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confidence: 99%
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“…Collectives can amplify or dampen individual emotions (Goldenberg, 2024), beliefs (Goldstone et al, 2024;Rabb et al, 2024;Vlasceanu et al, 2024;Warren et al, 2024), decision accuracy (Broomell & Davis-Stober, 2024;Martel et al, 2024), and cooperation tendencies (Fiedler et al, 2024).…”
mentioning
confidence: 99%
“…Hahn (2024) demonstrates the importance of understanding the dependence of individuals' beliefs within their social context when attempting to explain collective phenomena such as group extremity and polarization. Rabb et al (2024) use the framework of community of knowledge, whereby people rely on knowledge in their groups to shape their own beliefs and behaviors, to show how this often useful tendency can backfire when one's community is wrongly perceived to possess valid knowledge about an issue. Vlasceanu et al (2024) describe a framework for understanding individual and collective beliefs as multilayer networks of evidence, beliefs, and perceived norms and show how the framework can account for empirical phenomena in belief dynamics.…”
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confidence: 99%