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Echo chambers online?: Politically motivated selective exposure among Internet news users
Open accessAbstract
A review of research suggests that the desire for opinion reinforcement may play a more important role in shaping individuals’ exposure to online political information than an aversion to opinion challenge. The article tests this idea using data collected via a web-administered behavior-tracking study with subjects recruited from the readership of 2 partisan online news sites (N = 727). The results demonstrate that opinion-reinforcing information promotes news story exposure while opinion-challenging information makes exposure only marginally less likely. The influence of both factors is modest, but opinion-reinforcing information is a more important predictor. Having decided to view a news story, evidence of an aversion to opinion challenges disappears: There is no evidence that individuals abandon news stories that contain information with which they disagree. Implications and directions for future research are discussed.
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“Homophily in communication, the tendency of people to communicate with others having similar beliefs, is understood to lead to the formation of echo chambers which reinforce individual beliefs and fuel further increase in polarization.”
From Credibility of climate change denial in social media (2019) · cites this paper as Garrett, 2009
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“For example, homophily among liberals and conservatives in political blogs links (Adamic and Glance, 2005), i.e., the tendency of liberal and conservative blogs to link primarily within their separate communities, leads to echo chambers (Jasny et al., 2015;Garrett, 2009;Flaxman et al., 2016), and hence beliefs can be polarized due to such exposure to selective information (Bakshy et al., 2015).”
From Credibility of climate change denial in social media (2019) · cites this paper as Garrett, 2009
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“Furthermore, users show a tendency to favor information adhering to their beliefs and join groups formed around a shared narrative, that is, echo chambers (1, 14–18).”
From The echo chamber effect on social media (2021) · cites this paper as [15]
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“Estudios basados en encuestas encuentran que el efecto polarizador de la red no deriva de la tendencia de las cámaras de eco, sino más bien de la exposición transversal a los mensajes de personas con ideologías políticas opuestas (Bail y otros, 2018;Garrett, 2009).”
From Polarización, heterogeneidad política y redes sociales en México: un análisis comparativo de #PresidenteRompaElPacto, #FRENA y #RevocacionDeMandato en Twitter (2023) · cites this paper as Garrett, 2009
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“In social media, such polarized communication networks were observed in controversial debates ranging from political orientation [10, 11], US and French presidential elections [12], or street protests [13].”
From Modeling echo chambers and polarization dynamics in social networks (2020) · cites this paper as [13]
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Metadata
- Authors
- Garrett, R. K.
- Affiliations
- The Ohio State University (US)
- Corresponding author
- Garrett, R. Kelly
- ORCID
- Garrett, R. Kelly
- Venue
- Journal of Computer-Mediated Communication
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-01
- Volume
- 14
- Issue
- 2
- Pages
- 265-285
- ISSN
- 1083-6101 (ISSN-L)
- OpenAlex
- W2137809006
- Cited by
- 1,040
- References
- 27
- Citations by year
- 2026: 64 · 2025: 86 · 2024: 89 · 2023: 89 · 2022: 104 · 2021: 102 · 2020: 120 · 2019: 93 · 2018: 62 · 2017: 50 · 2016: 38 · 2015: 33 · 2014: 29 · 2013: 38 · 2012: 16
- FWCI
- 45.29
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Computer-Mediated Communication (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Media Influence and Politics
- Social Sciences › Communication › Social Media and Politics
- Social Sciences › Communication › News Media Framing and Political Communication
- Keywords
- selective exposure, echo chambers, online news, political information, political polarization, news avoidance
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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