Counteracting estimation bias and social influence to improve the wisdom of crowds

Aggregating multiple non-expert opinions into a collective estimate can improve accuracy across many contexts. However, two sources of error can diminish collective wisdom: individual estimation biases and information sharing between individuals. Here, we measure individual biases and social influen...

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Bibliografiske detaljer
Udgivet i:J R Soc Interface
Main Authors: Kao, Albert B., Berdahl, Andrew M., Hartnett, Andrew T., Lutz, Matthew J., Bak-Coleman, Joseph B., Ioannou, Christos C., Giam, Xingli, Couzin, Iain D.
Format: Artigo
Sprog:Inglês
Udgivet: The Royal Society 2018
Fag:
Life Sciences–Mathematics interface
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5938592/
https://ncbi.nlm.nih.gov/pubmed/29669894
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsif.2018.0130
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