The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Deconstructing climate misinformation to identify reasoning errors
Open accessAbstract
Misinformation can have significant societal consequences. For example, misinformation about climate change has confused the public and stalled support for mitigation policies. When people lack the expertise and skill to evaluate the science behind a claim, they typically rely on heuristics such as substituting judgment about something complex (i.e. climate science) with judgment about something simple (i.e. the character of people who speak about climate science) and are therefore vulnerable to misleading information. Inoculation theory offers one approach to effectively neutralize the influence of misinformation. Typically, inoculations convey resistance by providing people with information that counters misinformation. In contrast, we propose inoculating against misinformation by explaining the fallacious reasoning within misleading denialist claims. We offer a strategy based on critical thinking methods to analyse and detect poor reasoning within denialist claims. This strategy includes detailing argument structure, determining the truth of the premises, and checking for validity, hidden premises, or ambiguous language. Focusing on argument structure also facilitates the identification of reasoning fallacies by locating them in the reasoning process. Because this reason-based form of inoculation is based on general critical thinking methods, it offers the distinct advantage of being accessible to those who lack expertise in climate science. We applied this approach to 42 common denialist claims and find that they all demonstrate fallacious reasoning and fail to refute the scientific consensus regarding anthropogenic global warming. This comprehensive deconstruction and refutation of the most common denialist claims about climate change is designed to act as a resource for communicators and educators who teach climate science and/or critical thinking.
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Citations
Cites
Misinformation and Its Correction: Continued Influence and Successful Debiasing
Lewandowsky, S., Ecker, U. K. H., Seifert, C. M., Schwarz, N., & Cook, J. (2012) · Psychological Science in the Public Interest · doi:10.1177/1529100612451018 · Cited by 2,920
Self-citationInoculating the Public against Misinformation about Climate Change
van der Linden, S., Leiserowitz, A., Rosenthal, S., & Maibach, E. (2017) · Global Challenges · doi:10.1002/gch2.201600008 · Cited by 1,058
Cook, J., Lewandowsky, S., & Ecker, U. K. H. (2017) · PLOS ONE · doi:10.1371/journal.pone.0175799 · Cited by 971 · cited 4×
“Climate misinformation also disproportionately influences conservatives (Cook et al 2017, van der Linden et al 2017), contributing to growing polarization over recent decades (McCright and Dunlap 2011).”
BackgroundMethodInfluentialSelf-citation
Cited by
Online misinformation about climate change
Treen, K. M. D., Williams, H. T. P., & O'Neill, S. J. (2020) · WIREs Climate Change · doi:10.1002/wcc.665 · Cited by 441
Vraga, E. K., Kim, S. C., & Cook, J. (2019) · Journal of Broadcasting & Electronic Media · doi:10.1080/08838151.2019.1653102 · Cited by 162
Self-citationDanry, V., Pataranutaporn, P., Groh, M., & Epstein, Z. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713408 · Cited by 35
Metadata
- Authors
- Cook, J., Ellerton, P., & Kinkead, D.
- Venue
- Environmental Research Letters
- Publisher
- IOP Publishing
- Published
- 2018-02-01
- Volume
- 13
- Issue
- 2
- Pages
- 024018
- ISSN
- 1748-9326 (ISSN-L)
- OpenAlex
- W2786904376
- Cited by
- 173
- References
- 3
- FWCI
- 23.35
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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