Recursive patterns in online echo chambers
Open accessAbstract
Despite their entertainment oriented purpose, social media changed the way users access information, debate, and form their opinions. Recent studies, indeed, showed that users online tend to promote their favored narratives and thus to form polarized groups around a common system of beliefs. Confirmation bias helps to account for users’ decisions about whether to spread content, thus creating informational cascades within identifiable communities. At the same time, aggregation of favored information within those communities reinforces selective exposure and group polarization. Along this path, through a thorough quantitative analysis we approach connectivity patterns of 1.2 M Facebook users engaged with two very conflicting narratives: scientific and conspiracy news. Analyzing such data, we quantitatively investigate the effect of two mechanisms (namely challenge avoidance and reinforcement seeking) behind confirmation bias, one of the major drivers of human behavior in social media. We find that challenge avoidance mechanism triggers the emergence of two distinct and polarized groups of users (i.e., echo chambers) who also tend to be surrounded by friends having similar systems of beliefs. Through a network based approach, we show how the reinforcement seeking mechanism limits the influence of neighbors and primarily drives the selection and diffusion of contents even among like-minded users, thus fostering the formation of highly polarized sub-clusters within the same echo chamber. Finally, we show that polarized users reinforce their preexisting beliefs by leveraging the activity of their like-minded neighbors, and this trend grows with the user engagement suggesting how peer influence acts as a support for reinforcement seeking.
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Challenge avoidance and reinforcement seeking, paired with peer influence, promote the formation of tightly clustered subgroups within echo chambers.
“Studies (e.g., [97,98]) found that these mechanisms, paired with peer influence, promote the formation of tightly clustered subgroups within echo chambers.”
From A systematic review of echo chamber research: comparative analysis of conceptualizations, operationalizations, and varying outcomes (2025) · cites this paper as [97]
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- Authors
- Brugnoli, E., Cinelli, M., Quattrociocchi, W., & Scala, A.
- Affiliations
- Institute for Complex Systems (IT)
- Ca' Foscari University of Venice (IT)
- Corresponding author
- Brugnoli, Emanuele
- Venue
- Scientific Reports
- Published
- 2019-12-27
- Volume
- 9
- Issue
- 1
- Pages
- 20118-20118
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC6934735
- OpenAlex
- W2970222193
- Cited by
- 95
- References
- 4
- Citations by year
- 2026: 13 · 2025: 20 · 2024: 14 · 2023: 15 · 2022: 14 · 2021: 12 · 2020: 5 · 2019: 2
- FWCI
- 15.55
- Type
- journal article
- Language
- en
- Update notices
- correction (2021-03-09)
- Open access
- gold
- doi.org
- Locations
- Scientific Reports (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- IRIS Research product catalog (Sapienza University of Rome) (submittedVersion)
- ARCA (Università Ca' Foscari Venezia) (submittedVersion, other-oa)
- arXiv (Cornell University)
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Communication › Social Media and Politics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Keywords
- echo chambers, confirmation bias, group polarization, selective exposure, social media polarization, Facebook, scientific news, peer influence, information dissemination
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