CoChat
Sign Up
Cited by 171Social Media and PoliticsMisinformation and Its ImpactsPopulism, Right-Wing Movements

The DOI matches its Crossref record; 33 of the 34 references it cites were found in a registry or an index.

Examining the consumption of radical content on YouTube

Open access
Hosseinmardi, Homa, Ghasemian, Amir, Clauset, Aaron, Mobius, Markus, Rothschild, David M., Watts, Duncan J.·2021·Proceedings of the National Academy of Sciences
DOI 10.1073/pnas.2101967118PMC PMC8364190
Open this paper in CoChat — free account

Abstract

Significance: Daily share of news consumption on YouTube, a social media platform with more than 2 billion monthly users, has increased in the last few years. Constructing a large dataset of users’ trajectories across the full political spectrum during 2016–2019, we identify several distinct communities of news consumers, including “far-right” and “anti-woke.” Far right is small and not increasing in size over the observation period, while anti-woke is growing, and both grow in consumption per user. We find little evidence that the YouTube recommendation algorithm is driving attention to this content. Our results indicate that trends in video-based political news consumption are determined by a complicated combination of user preferences, platform features, and the supply-and-demand dynamics of the broader web.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1073/pnas.2101967118

Cites

33 of 33 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 34 references

Cited by

Sorted by citations

Items 101–171 of 171

Related

See all

Metadata

Authors
Hosseinmardi, H., Ghasemian, A., Clauset, A., Mobius, M., Rothschild, D. M., & Watts, D. J.
Affiliations
  • University of Pennsylvania (US)
  • Harvard University (US)
  • Santa Fe Institute (US)
  • Microsoft Research New England, Cambridge, MA 02142;
  • Microsoft Research New York City (United States) (US)
Corresponding author
  • Hosseinmardi, Homa
  • Watts, Duncan J.
ORCID
Venue
Proceedings of the National Academy of Sciences
Publisher
National Academy of Sciences
Published
2021-08-02
Volume
118
Issue
32
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
DOI
10.1073/pnas.2101967118
PMC
PMC8364190
OpenAlex
W3189072387
Cited by
171
References
34
Citations by year
2026: 24 · 2025: 20 · 2024: 39 · 2023: 55 · 2022: 28 · 2021: 5
FWCI
42.30
Type
journal article
Language
en
Open access
Licence
www.pnas.org/site/aboutpnas/licenses.xhtml (vor, 184 d)
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • OSF Preprints (OSF Preprints) (submittedVersion)
  • arXiv (Cornell University)
Topics
  • Social Sciences › Communication › Social Media and Politics
  • Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
  • Social Sciences › Political Science and International Relations › Populism, Right-Wing Movements
Keywords
YouTube, radicalization, algorithmic recommendation, political news consumption, user engagement, gateway effect, political ideology, online media consumption
MeSH terms
Humans, Politics, Video Recording, Social Media

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 ›

Are you an author, or do you see a problem with this page? Request a review