Cited by 111Misinformation and Its ImpactsOpinion Dynamics and Social InfluenceSocial Media and Politics

Social media networks, fake news, and polarization

Azzimonti, Marina, Fernandes, Marcos·2023·European Journal of Political Economy

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Crossref · 10.1016/j.ejpoleco.2022.102256

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2 of 2 references verified0 citation errors · 0 not checkable

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  • Political and social divisiveness is further cemented by social media platforms' algorithmic design, which produces echo chambers where users are mostly exposed to content that supports their own viewpoints.

    “Political and social divisiveness is further cemented by social media platforms' algorithmic design, which produces echo chambers where users are mostly exposed to content that supports their own viewpoints.”

    From The Psycho-Emotive Effects of AI-Generated Fake News on Social Media Users (2026) · cites this paper as Azzimonti & Fernandes, 2022

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Authors
Azzimonti, M., & Fernandes, M.
Affiliations
  • Stony Brook University (US)
  • Universidade de São Paulo (BR)
Corresponding author
Azzimonti, Marina
Venue
European Journal of Political Economy
Publisher
Elsevier BV
Published
2023-01
Volume
76
Pages
102256
ISSN
0176-2680 (ISSN-L)
OpenAlex
W3125136842
Cited by
111
References
2
Citations by year
2026: 21 · 2025: 37 · 2024: 27 · 2023: 17 · 2022: 3 · 2020: 1 · 2019: 4 · 2018: 1
FWCI
30.22
Type
journal article
Language
en
Open access
closed
Locations
  • European Journal of Political Economy (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Opinion Dynamics and Social Influence
  • Social Sciences › Communication › Social Media and Politics
Keywords
fake news, misinformation, political polarization, social media, opinion dynamics, bounded rationality, network structure, network effects, threshold rules, Twitter

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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.

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