Science vs Conspiracy: Collective Narratives in the Age of Misinformation
Open accessAbstract
The large availability of user provided contents on online social media facilitates people aggregation around shared beliefs, interests, worldviews and narratives. In spite of the enthusiastic rhetoric about the so called collective intelligence unsubstantiated rumors and conspiracy theories-e.g., chemtrails, reptilians or the Illuminati-are pervasive in online social networks (OSN). In this work we study, on a sample of 1.2 million of individuals, how information related to very distinct narratives-i.e. main stream scientific and conspiracy news-are consumed and shape communities on Facebook. Our results show that polarized communities emerge around distinct types of contents and usual consumers of conspiracy news result to be more focused and self-contained on their specific contents. To test potential biases induced by the continued exposure to unsubstantiated rumors on users' content selection, we conclude our analysis measuring how users respond to 4,709 troll information-i.e. parodistic and sarcastic imitation of conspiracy theories. We find that 77.92% of likes and 80.86% of comments are from users usually interacting with conspiracy stories.
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Selective exposure and confirmation bias may explain the emergence of echo chambers on social media.
“Selective exposure (19) and confirmation bias (20) (i.e., the tendency to seek information adhering to preexisting opinions) may explain the emergence of echo chambers on social media (1, 17, 21, 22).”
From The echo chamber effect on social media (2021) · cites this paper as [22]
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- Authors
- Bessi, A., Coletto, M., Davidescu, G. A., Scala, A., Caldarelli, G., & Quattrociocchi, W.
- Affiliations
- IMT School for Advanced Studies Lucca (IT)
- Corresponding author
- Quattrociocchi, Walter
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2015-02-23
- Volume
- 10
- Issue
- 2
- Pages
- e0118093
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC4338055
- OpenAlex
- W2035654630
- Cited by
- 645
- References
- 71
- Citations by year
- 2026: 26 · 2025: 36 · 2024: 58 · 2023: 53 · 2022: 78 · 2021: 90 · 2020: 69 · 2019: 72 · 2018: 83 · 2017: 38 · 2016: 24 · 2015: 13 · 2014: 5
- FWCI
- 174.33
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- IMT Institutional Repository (IMT School for Advanced Studies Lucca) (acceptedVersion)
- arXiv (Cornell University) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- ISTI Open Portal (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- IRIS Research product catalog (Sapienza University of Rome) (submittedVersion)
- ARCA (Università Ca' Foscari Venezia) (submittedVersion)
- arXiv (Cornell University)
- Funders
- European Commission (317532, 610704)
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Social Sciences › Communication › Social Media and Politics
- Keywords
- conspiracy theories, misinformation, social networking sites, Facebook, collective intelligence, polarization, user engagement, information consumption, chemtrails, Illuminati
- MeSH terms
- Communication, Humans, Science, Narration, Social Networking, 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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