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

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 S...

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Autores principales: Modgil, Sachin, Singh, Rohit Kumar, Gupta, Shivam, Dennehy, Denis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8604707/
https://www.ncbi.nlm.nih.gov/pubmed/34840520
http://dx.doi.org/10.1007/s10796-021-10222-9
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author Modgil, Sachin
Singh, Rohit Kumar
Gupta, Shivam
Dennehy, Denis
author_facet Modgil, Sachin
Singh, Rohit Kumar
Gupta, Shivam
Dennehy, Denis
author_sort Modgil, Sachin
collection PubMed
description 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.
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spelling pubmed-86047072021-11-22 A Confirmation Bias View on Social Media Induced Polarisation During Covid-19 Modgil, Sachin Singh, Rohit Kumar Gupta, Shivam Dennehy, Denis Inf Syst Front Article 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. Springer US 2021-11-20 /pmc/articles/PMC8604707/ /pubmed/34840520 http://dx.doi.org/10.1007/s10796-021-10222-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Modgil, Sachin
Singh, Rohit Kumar
Gupta, Shivam
Dennehy, Denis
A Confirmation Bias View on Social Media Induced Polarisation During Covid-19
title A Confirmation Bias View on Social Media Induced Polarisation During Covid-19
title_full A Confirmation Bias View on Social Media Induced Polarisation During Covid-19
title_fullStr A Confirmation Bias View on Social Media Induced Polarisation During Covid-19
title_full_unstemmed A Confirmation Bias View on Social Media Induced Polarisation During Covid-19
title_short A Confirmation Bias View on Social Media Induced Polarisation During Covid-19
title_sort confirmation bias view on social media induced polarisation during covid-19
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8604707/
https://www.ncbi.nlm.nih.gov/pubmed/34840520
http://dx.doi.org/10.1007/s10796-021-10222-9
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