A Confirmation Bias View on Social Media Induced Polarisation During Covid-19.

Confirmation Bias Covid-19 Echo Chambers Social Media Induced Polarisation

Journal

Information systems frontiers : a journal of research and innovation
ISSN: 1387-3326
Titre abrégé: Inf Syst Front
Pays: United States
ID NLM: 101685853

Informations de publication

Date de publication:
20 Nov 2021
Historique:
accepted: 01 11 2021
entrez: 29 11 2021
pubmed: 30 11 2021
medline: 30 11 2021
Statut: aheadofprint

Résumé

Social media has played a pivotal role in polarising views on politics, climate change, and more recently, the Covid-19 pandemic. Social media induced polarisation (SMIP) poses serious challenges to society as it could enable 'digital wildfires' that can wreak havoc worldwide. While the effects of SMIP have been extensively studied, there is limited understanding of the interplay between two key components of this phenomenon: confirmation bias (reinforcing one's attitudes and beliefs) and echo chambers (i.e., hear their own voice). This paper addresses this knowledge deficit by exploring how manifestations of confirmation bias contributed to the development of 'echo chambers' at the height of the Covid-19 pandemic. Thematic analysis of data collected from 35 participants involved in supply chain information processing forms the basis of a conceptual model of SMIP and four key cross-cutting propositions emerging from the data that have implications for research and practice.

Identifiants

pubmed: 34840520
doi: 10.1007/s10796-021-10222-9
pii: 10222
pmc: PMC8604707
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1-25

Informations de copyright

© The Author(s) 2021.

Déclaration de conflit d'intérêts

Conflict of interestNone.

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Auteurs

Sachin Modgil (S)

International Management Institute (IMI) Kolkata, Kolkata, India.

Rohit Kumar Singh (RK)

International Management Institute (IMI) Kolkata, Kolkata, India.

Shivam Gupta (S)

NEOMA Business School, Mont-Saint-Aignan, France.

Denis Dennehy (D)

National University of Ireland Galway, Galway, Ireland.

Classifications MeSH