Negative online news articles are shared more to social media
Open accessAbstract
Prior research demonstrates that news-related social media posts using negative language are re-posted more, rewarding users who produce negative content. We investigate whether negative material from external news sites is also introduced to social media through more user posts, offering comparable incentives for journalists to adopt a negative tone. Data from four US and UK news sites (95,282 articles) and two social media platforms (579,182,075 posts on Facebook and Twitter, now X) show social media users are 1.91 times more likely to share links to negative news articles. The impact of negativity varies by news site and social media platform and, for political articles, is moderated by topic focus, with users showing a greater inclination to share negative articles referring to opposing political groups. Additionally, negativity amplifies news dissemination on social media to a greater extent when accounting for the re-sharing of user posts containing article links. These findings suggest a higher prevalence of negatively toned articles on Facebook and Twitter compared to online news sites. Further, should journalists respond to the incentives created by the heightened sharing of negative articles to social media platforms, this could even increase negative news exposure for those who do not use social media.
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Negativity drives particularly online news consumption and social media platform use.
“Negativity drives particularly online news consumption [6,7] and social media platform use [7].”
From Impact of Media-Induced Uncertainty on Mental Health: Narrative-Based Perspective. (2025) · cites this paper as [7]
The Introduction says negativity influences news engagement on dedicated news sites and social media platforms. The Discussion reports greater sharing of negative news articles on social media. These passages support the claim about online news consumption and news-related social media activity, but not the broader claim that negativity drives social media platform use generally. (LLM, conf=0.83)
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- Authors
- Watson, J., van der Linden, S., Watson, M., & Stillwell, D.
- Affiliations
- University of Cambridge (GB)
- King's College London (GB)
- Corresponding author
- Watson, Joe
- ORCID
- Stillwell, David
- Venue
- Scientific Reports
- Published
- 2024-09-16
- Volume
- 14
- Issue
- 1
- Pages
- 21592-21592
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC11405697
- OpenAlex
- W4402580738
- Cited by
- 70
- References
- 73
- Citations by year
- 2026: 41 · 2025: 27 · 2024: 2
- FWCI
- 49.98
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Scientific Reports (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Apollo (University of Cambridge) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- 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
- negative news, news sharing, social media, online news articles, negativity bias, political news, news dissemination, Facebook, Twitter, news sentiment
- MeSH terms
- United Kingdom, Humans, Mass Media, United States, Internet, Information Dissemination, 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.
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