ArticleInformation systems frontiers : a journal of research and innovation2021
A Confirmation Bias View on Social Media Induced Polarisation During Covid-19.
Article in Information systems frontiers : a journal of research and innovation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed.
- Beyond seeking information: Lessons learned from a qualitative investigation of the information practices of parents about COVID-19 vaccination in Canada.Human vaccines & immunotherapeutics · 2026Article
- Disinformation elicits learning biases.eLife · 2026Article
- Identifying barriers to human papillomavirus vaccination in China: a topic modelling analysis of social media (2018-2024).BMJ public health · 2026Article
- Generative artificial intelligence-mediated confirmation bias in health information seeking.Annals of the New York Academy of Sciences · 2025Review
- Political identity and risk politics: Evidence from a pandemic.Risk analysis : an official publication of the Society for Risk Analysis · 2025Article
- Teacher-student empathic relationship shaping: an elimination mechanism for psychological segmentations in entrepreneurship education.BMC psychology · 2025Article
- A Critical Juncture for Drug Information and Evidence-Based Voices.The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2025Article
- Leveraging deep learning to detect stance in Spanish tweets on COVID-19 vaccination.JAMIA open · 2025Article
- The Constrained-Disorder Principle Assists in Overcoming Significant Challenges in Digital Health: Moving from "Nice to Have" to Mandatory Systems.Clinics and practice · 2023Review
- Is #SDG13 Trending Online? Insights from Climate Change Discussions on Twitter.Information systems frontiers : a journal of research and innovation · 2023Article
- Health-related social media use and COVID-19 anxiety in adolescence: health anxiety as covariate and moderator.Frontiers in psychology · 2023Article
- Cognitive and Cultural Factors That Affect General Vaccination and COVID-19 Vaccination Attitudes.Vaccines · 2022Article
- Combating Misinformation by Sharing the Truth: a Study on the Spread of Fact-Checks on Social Media.Information systems frontiers : a journal of research and innovation · 2022Article
- On the Interplay of Data and Cognitive Bias in Crisis Information Management: An Exploratory Study on Epidemic Response.Information systems frontiers : a journal of research and innovation · 2022Article
- Can you be Mindful? The Effectiveness of Mindfulness-Driven Interventions in Enhancing the Digital Resilience to Fake News on COVID-19.Information systems frontiers : a journal of research and innovation · 2022Article
- Fake news on Social Media: the Impact on Society.Information systems frontiers : a journal of research and innovation · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.