Cited by 119Misinformation and Its ImpactsMedia Studies and CommunicationJournalism and Media Studies

Social Media and Trust in News: An Experimental Study of the Effect of Facebook on News Story Credibility

Open access
Karlsen, Rune, Aalberg, Toril·2023·Digital Journalism

Abstract

People increasingly turn to social media to get their daily news updates. Still, we are only beginning to understand how this development affects people’s perceptions of consumed news stories. The article reports on an experiment designed to investigate the effect the distribution of a news story in social media (Facebook) has on news message credibility. A control group was exposed to a news story on an original news website, and treatment groups were exposed to the same news story shared on Facebook. Results demonstrate that distribution via Facebook affects the credibility of the news story. The effect is strongest when politicians are intermediary-senders, and to some extent depend on the party affiliation of intermediary-sender and the social media audience. In the context of fake news, the results are reassuring: people are less trustful of news they consume through social media. However, the results also suggest that social media news sharing can contribute to the long-term decrease in trust in news.

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 · 10.1080/21670811.2021.1945938

Cites

55 of 55 references verified0 citation errors · 0 not checkable

Statistics

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?

  • Personal political ideology or political affiliation influences trust in information from social media.

    “Results from two studies suggest that personal political ideology or political afliation infuences participants' trust in information from social media [5,53].”

Self-check

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

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

Cites

Flagged first, then by citations

1 of the 56 references couldn’t be matched to a known paper.

Research works printed but not linked: 3

  1. Dahl, Robert. 1998. On Democracy. New Haven: Yale University Press.
  2. Newman, Nic, Fletcher, Richard Anne Schulz, Simge Andı, Rasmus, and K. Nielsen. 2020. Reuters Institute Digital News Report 2020. Oxford: Reuters Institute for the Study of Journalism.
  3. Newman, Nic, R. Richard Fletcher, A. Kalogeropoulos, D. A. L. Levy, and Rasmus K. Nielsen. 2018. Reuters Institute Digital News Report 2019. Oxford: Reuters Institute for the Study of Journalism.

Cited by

Sorted by citations

Authors
Karlsen, R., & Aalberg, T.
Affiliations
  • University of Oslo (NO)
  • Norwegian University of Science and Technology (NO)
Corresponding author
Karlsen, Rune
Venue
Digital Journalism
Published
2021-07-21
Volume
11
Issue
1
Pages
144-160
ISSN
  • 2167-0811 (ISSN-L)
  • 2167-082X
OpenAlex
W3189018750
Cited by
119
References
56
Citations by year
2026: 21 · 2025: 32 · 2024: 25 · 2023: 23 · 2022: 16 · 2021: 2
FWCI
22.87
Type
journal article
Language
en
Open access
Locations
  • Digital Journalism (publishedVersion, cc-by-nc-nd)
  • NORA - Norwegian Open Research Archives (submittedVersion, cc-by-nc-nd)
Funders
Research Council of Norway (249687)
Topics
  • Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
  • Social Sciences › Communication › Media Studies and Communication
  • Social Sciences › Communication › Journalism and Media Studies
Keywords
social media, Facebook, news credibility, trust in news, news sharing, politicians, political affiliation, fake news, news consumption

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