Opinion formation on dynamic networks: identifying conditions for the emergence of partisan echo chambers
Open accessAbstract
Modern political interaction is characterized by strong partisanship and a lack of interest in information sharing and agreement across party lines. It remains largely unclear how such partisan echo chambers arise and how they coevolve with opinion formation. Here, we explore the emergence of these structures through the lens of coevolutionary games. In our model, the payoff of an individual is determined jointly by the magnitude of their opinion, their degree of conformity with their social neighbours and the benefit of having social connections. Each individual can simultaneously adjust their opinion and the weights of their social connections. We present and validate the conditions for the emergence of partisan echo chambers, characterizing the transition from cohesive communities with a consensus to divisive networks with splitting opinions. Moreover, we apply our model to voting records of the US House of Representatives over a timespan of decades to understand the influence of underlying psychological and social factors on increasing partisanship in recent years. Our work helps elucidate how the division of today has come to be and how cohesion and unity could otherwise be attained on a variety of political and social issues.
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There is substantial evidence that segregated online communities emerge around politically contentious topics.
“Although recent evidence suggests that general information consumption on social media might not be an echo-chamber for many users (21, 22), there is nevertheless substantial evidence supporting the argument that segregated online communities emerge around politically contentious topics (23, 19, 24, 25, 26, 27, 20).”
From Troll and divide: the language of online polarization (2022) · cites this paper as [24]
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- Authors
- Evans, T., & Fu, F.
- Affiliations
- Dartmouth College (US)
- Corresponding author
- Evans, Tucker
- Fu, Feng
- Venue
- Royal Society Open Science
- Publisher
- The Royal Society
- Published
- 2018-10
- Volume
- 5
- Issue
- 10
- Pages
- 181122
- ISSN
- 2054-5703 (ISSN-L)
- PMC
- PMC6227940
- OpenAlex
- W2963712048
- Cited by
- 61
- References
- 49
- Citations by year
- 2026: 5 · 2025: 6 · 2024: 14 · 2023: 6 · 2022: 10 · 2021: 6 · 2020: 10 · 2019: 4
- FWCI
- 2.55
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Royal Society Open Science (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- arXiv (Cornell University)
- Funders
- National Institutes of Health (Roybal Center Pilot Grant)
- Dartmouth College (Dartmouth Faculty Startup Fund, Presidential Scholarship Program, Walter & Constance Burke Research Initiation Award)
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Opinion Dynamics and Social Influence
- Social Sciences › Communication › Social Media and Politics
- Social Sciences › Political Science and International Relations › Electoral Systems and Political Participation
- Keywords
- opinion formation, dynamic networks, partisanship, conformity, social cohesion, political polarization
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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