Modelling Spirals of Silence and Echo Chambers by Learning from the Feedback of Others

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dc.contributor.authorBanisch, Sven
dc.contributor.authorGaisbauer, Felix
dc.contributor.authorOlbrich, Eckehard
dc.date.accessioned2024-05-02T15:06:25Z
dc.date.available2024-05-02T15:06:25Z
dc.date.issued2022
dc.description.abstractWhat are the mechanisms by which groups with certain opinions gain public voice and force others holding a different view into silence? Furthermore, how does social media play into this? Drawing on neuroscientific insights into the processing of social feedback, we develop a theoretical model that allows us to address these questions. In repeated interactions, individuals learn whether their opinion meets public approval and refrain from expressing their standpoint if it is socially sanctioned. In a social network sorted around opinions, an agent forms a distorted impression of public opinion enforced by the communicative activity of the different camps. Even strong majorities can be forced into silence if a minority acts as a cohesive whole. On the other hand, the strong social organisation around opinions enabled by digital platforms favours collective regimes in which opposing voices are expressed and compete for primacy in public. This paper highlights the role that the basic mechanisms of social information processing play in massive computer-mediated interactions on opinions.
dc.description.sponsorshipThis research received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 732942 (www.Odycceus.eu (accessed on 20 March 2022)).
dc.identifier.citationBanisch, S., Gaisbauer, F., & Olbrich, E. (2022). Modelling Spirals of Silence and Echo Chambers by Learning from the Feedback of Others. Entropy, 24(10), 1484. https://doi.org/10.3390/e24101484
dc.identifier.doihttps://doi.org/10.3390/e24101484
dc.identifier.issn1099-4300
dc.identifier.urihttps://www.weizenbaum-library.de/handle/id/646
dc.language.isoeng
dc.rightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectsocial dynamics
dc.subjectgroup dynamics
dc.subjectspiral of silence
dc.subjectecho chambers
dc.subjectsilent majorities
dc.subjectreinforcement learning
dc.subjectsocial feedback
dc.subjectsocial neuroscience
dc.subjectopinion dynamics
dc.titleModelling Spirals of Silence and Echo Chambers by Learning from the Feedback of Others
dc.typeArticle
dc.type.statuspublishedVersion
dcmi.typeText
dcterms.bibliographicCitation.urlhttps://doi.org/10.3390/e24101484
local.researchgroupDynamiken digitaler Nachrichtenvermittlung
local.researchtopicDigitale Märkte und Öffentlichkeiten auf Plattformen
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