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- Joshua Becker
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA 19104;
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- Devon Brackbill
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA 19104;
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- Damon Centola
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA 19104;
書誌事項
- 公開日
- 2017-06-12
- DOI
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- 10.1073/pnas.1615978114
- 公開者
- Proceedings of the National Academy of Sciences
この論文をさがす
説明
<jats:title>Significance</jats:title><jats:p>Since the discovery of the wisdom of crowds over 100 years ago theories of collective intelligence have held that group accuracy requires either statistical independence or informational diversity among individual beliefs. Empirical evidence suggests that allowing people to observe the beliefs of others leads to increased similarity of individual estimates, reducing independence and diversity without a corresponding increase in group accuracy. As a result, social influence is expected to undermine the wisdom of crowds. We present theoretical predictions and experimental findings demonstrating that, in decentralized networks, social influence generates learning dynamics that reliably improve the wisdom of crowds. We identify general conditions under which influence, not independence, produces the most accurate group judgments.</jats:p>
収録刊行物
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- Proceedings of the National Academy of Sciences
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Proceedings of the National Academy of Sciences 114 (26), 201615978-, 2017-06-12
Proceedings of the National Academy of Sciences
