Evidence map›Paper›PMID 33622786›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

The echo chamber effect on social media.

Matteo Cinelli, Gianmarco De Francisci Morales, Alessandro Galeazzi, Walter Quattrociocchi, Michele Starnini

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 321 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
321citing papers in PubMed, 2 pooled it
433.7field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

321 citing papers in PubMed, 2 syntheses or guidelines pooled it, 1,753 citations in OpenAlex.

  1. Pooled it
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  14. Intelligent Systems, Vulnerable Minds: A Framework for Radicalization to Violence in the Age of AI.Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc · 2026
    Review
  15. LGBTQ laws and public opinion change.Nature human behaviour · 2026
    Article
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  20. Mechanics of pandemics.EClinicalMedicine · 2026
    Review

261 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 2 countries.

Matteo CinelliDepartment of Environmental Sciences, Informatics and Statistics, Ca'Foscari Univerity of Venice, 30172 Venice, Italy.ORCID 0000-0003-3899-4592
Gianmarco De Francisci MoralesInstitute for Scientific Interchange (ISI) Foundation, 10126 Torino, Italy.ORCID 0000-0002-2415-494X
Alessandro GaleazziDepartment of Information Engineering, University of Brescia, 25123 Brescia, Italy.ORCID 0000-0001-6859-0391
Walter QuattrociocchiDepartment of Computer Science, Sapienza University of Rome, 00185 Rome, Italy walter.quattrociocchi@uniroma1.it.ORCID 0000-0002-4374-9324
Michele StarniniInstitute for Scientific Interchange (ISI) Foundation, 10126 Torino, Italy.ORCID 0000-0002-9161-5339
Institute for Scientific Interchange · ITCa' Foscari University of Venice · ITUniversity of Brescia · ITUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social media may limit the exposure to diverse perspectives and favor the formation of groups of like-minded users framing and reinforcing a shared narrative, that is, echo chambers. However, the interaction paradigms among users and feed algorithms greatly vary across social media platforms. This paper explores the key differences between the main social media platforms and how they are likely to influence information spreading and echo chambers' formation. We perform a comparative analysis of more than 100 million pieces of content concerning several controversial topics (e.g., gun control, vaccination, abortion) from Gab, Facebook, Reddit, and Twitter. We quantify echo chambers over social media by two main ingredients: 1) homophily in the interaction networks and 2) bias in the information diffusion toward like-minded peers. Our results show that the aggregation of users in homophilic clusters dominate online interactions on Facebook and Twitter. We conclude the paper by directly comparing news consumption on Facebook and Reddit, finding higher segregation on Facebook.

Indexed as

Information DisseminationPoliticsSocial NetworkingAbortion, LegalBiasCommunicationGun ViolenceHumansNarrationPatient Protection and Affordable Care ActSocial ChangeSocial MediaVaccinationecho chambersinformation spreadingpolarizationsocial media

Identifiers

PMID33622786
PMCPMC7936330
OpenAlexW3133423348

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.