The Effect of Information Provision on Public Consensus about Climate Change
Open accessAbstract
Despite over 20 years of research and scientific consensus on the topic, climate change continues to be a politically polarizing issue. We conducted a survey experiment to test whether providing the public with information on the exact extent of scientific agreement about the occurrence and causes of climate change affects respondents' own beliefs and bridges the divide between conservatives and liberals. First, we show that the public significantly underestimated the extent of the scientific consensus. We then find that those given concrete information about scientists' views were more likely to report believing that climate change was already underway and that it was caused by humans. However, their beliefs about the necessity of making policy decisions and their willingness to donate money to combat climate change were not affected. Information provision affected liberals, moderates, and conservatives similarly, implying that the gap in beliefs between liberals and conservatives is not likely to be bridged by information treatments similar to the one we study. Finally, we conducted a 6-month follow-up with respondents to see if the treatment effect persisted; the results were statistically inconclusive.
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Experimental studies have consistently shown that consensus messages can effectively correct people's perceptions of what scientists believe about climate change.
“experimental studies have consistently shown that consensus messages can effectively correct people's perceptions of what scientists believe about climate change (Van der Linden et al., 2015;Deryugina and Shurchkov, 2016;Bolsen and Druckman, 2018).”
From Factual belief polarization between Democrats and Republicans: source or epiphenomenon of ideological and affective polarization? (2024) · cites this paper as Deryugina and Shurchkov, 2016
The Survey Experiment > Treatments section describes an experiment that gave participants messages about scientific consensus, and the Discussion reports a short-run effect on participants’ own climate-change beliefs. But the paper does not report that the detailed consensus message corrected participants’ perceptions of what scientists believe; its Results > Basic findings section also reports substantial skepticism about that message. This source therefore supports the experimental-message aspect, not the claimed correction of perceptions or the assertion that results were consistent. (LLM, conf=0.84)
Experimental — accuracy not yet measuredSeveral studies found that consensus messages did not change people's own beliefs about climate change or their attitudes toward climate action.
“Several studies found that consensus messages did not change people's own beliefs about climate change or their attitudes toward climate action (Deryugina and Shurchkov, 2016;Dixon et al., 2017;Bolsen and Druckman, 2018).”
From Factual belief polarization between Democrats and Republicans: source or epiphenomenon of ideological and affective polarization? (2024) · cites this paper as Deryugina and Shurchkov, 2016
The Discussion (page not available) reports no observed increase in support for policy action or willingness to donate after respondents received scientific-consensus information. But the Results, “The immediate effect of information” (page not available), report significant increases in respondents’ own beliefs that climate change is underway and caused by humans. Thus this source supports the claim about attitudes toward action, but not the claim that people’s own climate beliefs did not change. (LLM, conf=0.92)
Experimental — accuracy not yet measured
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Influencing Climate Change Attitudes in the United States: A Systematic Review and Meta-AnalysisPreprint
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Photojournalist Framing in the Ecological Crisis: The DANA Flood Coverage
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- Authors
- Deryugina, T., & Shurchkov, O.
- Affiliations
- University of Illinois Urbana-Champaign (US)
- Wellesley College (US)
- Corresponding author
- Deryugina, Tatyana
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2016-04-11
- Volume
- 11
- Issue
- 4
- Pages
- e0151469
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC4827814
- OpenAlex
- W2322343349
- Cited by
- 150
- References
- 37
- Citations by year
- 2026: 7 · 2025: 18 · 2024: 16 · 2023: 10 · 2022: 31 · 2021: 15 · 2020: 8 · 2019: 21 · 2018: 12 · 2017: 7 · 2016: 5
- FWCI
- 42.89
- 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)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Funders
- UIUC Campus Research Board (13013)
- Topics
- Social Sciences › Sociology and Political Science › Climate Change Communication and Perception
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Climate Change Policy and Economics
- Social Sciences › Sociology and Political Science › Risk Perception and Management
- Keywords
- climate change, scientific consensus, information provision, political polarization, public opinion, belief updating, willingness to pay, liberals and conservatives, survey experiment
- MeSH terms
- Humans, Public Opinion, Consensus, Geographic Information Systems, Climate Change
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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