Perceived social presence reduces fact-checking
Open accessAbstract
Significance: The dissemination of unverified content (e.g., “fake” news) is a societal problem with influence that can acquire tremendous reach when propagated through social networks. This article examines how evaluating information in a social context affects fact-checking behavior. Across eight experiments, people fact-checked less often when they evaluated claims in a collective (e.g., group or social media) compared with an individual setting. Inducing momentary vigilance increased the rate of fact-checking. These findings advance our understanding of whether and when people scrutinize information in social environments. In an era of rapid information diffusion, identifying the conditions under which people are less likely to verify the content that they consume is both conceptually important and practically relevant.
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Artificial Intelligence for Social Media Analysis: Detecting Pseudo-Facts in Digital Environments
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- Authors
- Jun, Y., Meng, R., & Johar, G. V.
- Affiliations
- Columbia University (US)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2017-05-22
- Volume
- 114
- Issue
- 23
- Pages
- 5976-5981
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC5468680
- OpenAlex
- W2619683052
- Cited by
- 121
- References
- 28
- Citations by year
- 2026: 5 · 2025: 6 · 2024: 17 · 2023: 10 · 2022: 11 · 2021: 16 · 2020: 34 · 2019: 11 · 2018: 9 · 2017: 2
- FWCI
- 39.10
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- SSRN Electronic Journal (submittedVersion)
- ACR North American Advances
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Social Sciences › Psychology › Social Psychology › Deception detection and forensic psychology
- Keywords
- perceived social presence, fact-checking, social media, sustained attention, information evaluation, social evaluation
- MeSH terms
- Adult, Female, Humans, Male, Research, Social Perception, 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.
What counts as a claim ›How we measure confidence ›How we check this ›
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