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Crowd control: reducing individual estimation bias by sharing biased social information
Authors: Jayles, Bertrand; Sire, Clement; H. J. M. Kurvers, Ralf;
Crowd control: reducing individual estimation bias by sharing biased social information
Abstract
Column 1: experimental sessionColumn 2: participant IDColumn 3: participant's sexColumn 4: participant's ageColumn 5: question IDColumn 6: old (used in previous studies) or new questionColumn 7: question itselfColumn 8: correct answer to the questionColumn 9: treatmentColumn 10: number of estimates sharedColumn 11: personal estimateColumn 12: second estimateColumns 13 to 23: estimates received as social informationColumn 24: average social information MColumn 25: distance D = M - XpColumn 26: sensitivity to social influence SColumn 27: dispersion of the social information
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citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
0
Average
Average
Average
Beta
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