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Social Media, Echo Chambers, and Political Polarization
Abstract
The aim of this chapter is to offer an exhaustive review of the literature exploring the link between social media and political polarization. It highlights the areas where a consensus based on empirical evidence has already emerged but also identifies the questions that remain open and the type of data and analysis that would help address them.
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In the citing paper
“This issue is also fueled by the scarcity of comparative studies on social media, especially concerning news consumption (33).”
From The echo chamber effect on social media (2021) · cites this paper as [33]
In the citing paper
“but that they hardly constitute closed off echo chambers (Barbera ´, 2020)”
From When debates break apart: discursive polarization as a multi-dimensional divergence emerging in and through communication (2023) · cites this paper as Barbera ´, 2020
In the citing paper
“Scholars such as Barbera ´(2020) made a strong case that especially on platforms like Twitter, Reddit, or YouTube (An et al., 2019;Wu & Resnick, 2021), polarization dynamics are not primarily ideological disagreements about issues, but dismissive interactions with out-groups.”
From When debates break apart: discursive polarization as a multi-dimensional divergence emerging in and through communication (2023) · cites this paper as Barbera ´(2020)
In the citing paper
“Yet, in contrast to face-to-face social interaction (Balietti et al., 2021;Brankovi c et al., 2020), intergroup-contact through digital media networks often fosters polarization, at least in the context of political debates (Banks et al., 2021;Barbera ´, 2020;Zhang et al., 2022).”
From When debates break apart: discursive polarization as a multi-dimensional divergence emerging in and through communication (2023) · cites this paper as Barbera ´, 2020
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The echo chamber effect on social media
Cinelli, M., De Francisci Morales, G., Galeazzi, A., Quattrociocchi, W., & Starnini, M. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2023301118 · Cited by 2,092
“This issue is also fueled by the scarcity of comparative studies on social media, especially concerning news consumption (33).”
BackgroundEcho chamber effects on short video platforms
Gao, Y., Liu, F., & Gao, L. (2023) · Scientific Reports · doi:10.1038/s41598-023-33370-1 · Cited by 109
Wojcieszak, M., Casas, A., Yu, X., Nagler, J., & Tucker, J. A. (2022) · Science Advances · doi:10.1126/sciadv.abn9418 · Cited by 90
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Metadata
- Authors
- Barberá, P.
- Corresponding author
- Barberá, Pablo
- ORCID
- Barberá, Pablo
- Venue
- Social Media and Democracy
- Publisher
- Cambridge University Press
- Published
- 2020-08-31
- Pages
- 34-55
- OpenAlex
- W3080223069
- Cited by
- 373
- References
- 722
- Citations by year
- 2026: 60 · 2025: 71 · 2024: 72 · 2023: 91 · 2022: 53 · 2021: 24 · 2020: 2
- FWCI
- 224.68
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Cambridge University Press eBooks (publishedVersion)
- Topics
- Social Sciences › Communication › Social Media and Politics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Sociology and Political Science › Media Influence and Politics
- Keywords
- social media, echo chambers, political polarization, filter bubbles, information environment, political attitudes
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.
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