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dc.contributor.author
Mavrodiev, Pavlin
dc.contributor.author
Tessone, Claudio J.
dc.contributor.author
Schweitzer, Frank
dc.date.accessioned
2018-09-13T14:30:59Z
dc.date.available
2017-06-10T14:57:07Z
dc.date.available
2018-09-13T14:30:59Z
dc.date.issued
2013-03-01
dc.identifier.issn
2045-2322
dc.identifier.other
10.1038/srep01360
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/64735
dc.identifier.doi
10.3929/ethz-b-000064735
dc.description.abstract
How do humans respond to indirect social influence when making decisions? We analysed an experiment where subjects had to guess the answer to factual questions, having only aggregated information about the answers of others. While the response of humans to aggregated information is a widely observed phenomenon, it has not been investigated quantitatively, in a controlled setting. We found that the adjustment of individual guesses depends linearly on the distance to the mean of all guesses. This is a remarkable, and yet surprisingly simple regularity. It holds across all questions analysed, even though the correct answers differ by several orders of magnitude. Our finding supports the assumption that individual diversity does not affect the response to indirect social influence. We argue that the nature of the response crucially changes with the level of information aggregation. This insight contributes to the empirical foundation of models for collective decisions under social influence.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Nature
dc.rights.uri
http://creativecommons.org/licenses/by-nc-sa/3.0/
dc.subject
Applied physics
en_US
dc.subject
Biological physics
en_US
dc.subject
Psychology and behaviour
en_US
dc.subject
Statistical physics, thermodynamics and nonlinear dynamics
en_US
dc.title
Quantifying the effects of social influence
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported
ethz.journal.title
Scientific Reports
ethz.journal.volume
3
en_US
ethz.journal.abbreviated
Sci Rep
ethz.pages.start
1360
en_US
ethz.size
6 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.identifier.nebis
006751867
ethz.publication.place
London
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::03682 - Schweitzer, Frank / Schweitzer, Frank
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::03682 - Schweitzer, Frank / Schweitzer, Frank
ethz.date.deposited
2017-06-10T14:59:18Z
ethz.source
ECIT
ethz.identifier.importid
imp5936506e6cc4467863
ethz.ecitpid
pub:102959
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-20T15:30:52Z
ethz.rosetta.lastUpdated
2024-02-02T06:06:41Z
ethz.rosetta.versionExported
true
ethz.COinS
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