Scientific polarization
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Producing evidence of harm will be substantially more difficult if companies have a heavy hand in the production, funding, and communication of research.
“Producing such evidence will be substantially more difficult if companies have a heavy hand in the production, funding, and communication of research (155, 156).”
From Stewardship of global collective behavior (2021) · cites this paper as [155]
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Argumentation-induced rational issue polarisation
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Network Diffusion Framework to Simulate Spreading Processes in Complex Networks
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- Authors
- O’Connor, C., & Weatherall, J. O.
- Affiliations
- University of California, Irvine (US)
- Corresponding author
- O’Connor, Cailin
- Venue
- European Journal for Philosophy of Science
- Published
- 2018-08-15
- Volume
- 8
- Issue
- 3
- Pages
- 855-875
- ISSN
- 1879-4912 (ISSN-L)
- 1879-4920
- OpenAlex
- W2905051439
- Cited by
- 136
- References
- 56
- Citations by year
- 2026: 10 · 2025: 36 · 2024: 17 · 2023: 33 · 2022: 14 · 2021: 13 · 2020: 7 · 2019: 4 · 2018: 2
- FWCI
- 21.60
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- European Journal for Philosophy of Science (publishedVersion)
- SSRN Electronic Journal (publishedVersion)
- PhilSci-Archive (University of Pittsburgh) (acceptedVersion)
- arXiv (Cornell University) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- OSF Preprints (OSF Preprints) (submittedVersion)
- arXiv (Cornell University)
- Funders
- National Science Foundation (1535139)
- Topics
- Social Sciences › Arts and Humanities › Philosophy › Epistemology, Ethics, and Metaphysics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Opinion Dynamics and Social Influence
- Social Sciences › Decision Sciences › Management Science and Operations Research › Game Theory and Applications
- Keywords
- belief polarization, social learning, evidence collection, true belief, belief updating, scientific communities
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.
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