Generation and influence of eccentric ideas on social networks.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
22 Nov 2023
Historique:
received: 23 05 2023
accepted: 18 11 2023
medline: 23 11 2023
pubmed: 23 11 2023
entrez: 22 11 2023
Statut: epublish

Résumé

Studying extreme ideas in routine choices and discussions is of utmost importance to understand the increasing polarization in society. In this study, we focus on understanding the generation and influence of extreme ideas in routine conversations which we label "eccentric" ideas. The eccentricity of any idea is defined as the deviation of that idea from the norm of the social neighborhood. We collected and analyzed data from two sources of different nature: public social media and online experiments in a controlled environment. We compared the popularity of ideas against their eccentricity to understand individuals' fascination towards eccentricity. We found that more eccentric ideas have a higher probability of getting a greater number of "likes". Additionally, we demonstrate that the social neighborhood of an individual conceals eccentricity changes in one's own opinions and facilitates generation of eccentric ideas at a collective level.

Identifiants

pubmed: 37993483
doi: 10.1038/s41598-023-47823-0
pii: 10.1038/s41598-023-47823-0
pmc: PMC10665437
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

20433

Subventions

Organisme : National Science Foundation
ID : 1734147
Organisme : Japan Society for the Promotion of Science
ID : 19K21571

Informations de copyright

© 2023. The Author(s).

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Auteurs

Sriniwas Pandey (S)

Binghamton University, Binghamton, NY, USA. spandey4@binghamton.edu.

Yiding Cao (Y)

Binghamton University, Binghamton, NY, USA.

Yingjun Dong (Y)

University of Texas Health Science Center at Houston, Houston, TX, USA.

Minjun Kim (M)

Binghamton University, Binghamton, NY, USA.

Neil G MacLaren (NG)

State University of New York at Buffalo, Buffalo, NY, USA.

Shelley D Dionne (SD)

Binghamton University, Binghamton, NY, USA.

Francis J Yammarino (FJ)

Binghamton University, Binghamton, NY, USA.

Hiroki Sayama (H)

Binghamton University, Binghamton, NY, USA. sayama@binghamton.edu.
Faculty of Commerce, Waseda University, Tokyo, Japan. sayama@binghamton.edu.

Classifications MeSH