The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
The Scientific Consensus on Climate Change as a Gateway Belief: Experimental Evidence
Open accessAbstract
There is currently widespread public misunderstanding about the degree of scientific consensus on human-caused climate change, both in the US as well as internationally. Moreover, previous research has identified important associations between public perceptions of the scientific consensus, belief in climate change and support for climate policy. This paper extends this line of research by advancing and providing experimental evidence for a "gateway belief model" (GBM). Using national data (N = 1104) from a consensus-message experiment, we find that increasing public perceptions of the scientific consensus is significantly and causally associated with an increase in the belief that climate change is happening, human-caused and a worrisome threat. In turn, changes in these key beliefs are predictive of increased support for public action. In short, we find that perceived scientific agreement is an important gateway belief, ultimately influencing public responses to climate change.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Some recent evidence suggests that when people are taught about the role of consensus and what the consensus is on a topic, this can help to bring their ideas into alignment with the science (Goldberg et al., 2022;van der Linden et al., 2015).”
From Learning to evaluate sources of science (mis)information on the internet: Assessing students' scientific online reasoning (2025) · cites this paper as van der Linden et al., 2015
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“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 Van der Linden et al., 2015
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788
Preacher, K. J., & Hayes, A. F. (2008) · Behavior Research Methods · doi:10.3758/brm.40.3.879 · Cited by 34,117
Climate change 2007: the physical science basis
Solomon, S., Qin, D., Manning, M., Marquis, M. C., Averyt, K. B., Tignor, M., Miller, H. L., & Chen, Z. (2007) · Cited by 23,398
(2013) · Cited by 6,752
Enders, C., & Bandalos, D. (2001) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1207/s15328007sem0803_5 · Cited by 4,978
(2011) · Choice Reviews Online · doi:10.5860/choice.48-6243 · Cited by 3,575
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
The Scientific Consensus on Climate Change
Oreskes, N. (2004) · Science · doi:10.1126/science.1103618 · Cited by 1,814
Cultural cognition of scientific consensus.
Kahan, D. M., Jenkins‐Smith, H., & Braman, D. (2011) · Journal of Risk Research · doi:10.1080/13669877.2010.511246 · Cited by 1,686
Quantifying the consensus on anthropogenic global warming in the scientific literature
Cook, J., Nuccitelli, D., Green, S., Richardson, M., Winkler, B., Painting, R., Way, R. G., Jacobs, P., & Skuce, A. G. (2013) · Environmental Research Letters · doi:10.1088/1748-9326/8/2/024024 · Cited by 1,518
Flagged first, then by citations
Research works printed but not linked: 1
- Bast J, Spencer R (2014) The Myth of the Climate Change ‘97%’. The Wall Street Journal.
Cited by
Sorted by citations
Items 501–600 of 658
Beyond awareness: navigating the attitude-behavior gap in climate action among urban Egyptian youth
Ead, H. A., Abdellah, M. S., El-Tantawi, A. M., & Swelam, E. S. (2026) · Frontiers in Climate · doi:10.3389/fclim.2026.1806407 · Cited by 1
Yen, M., & Li, Y. (2026) · International Journal of Sustainability in Higher Education · doi:10.1108/ijshe-01-2026-0076 · Cited by 1
A systematic review and meta-analysis of communication strategies to promote climate action
Herberz, M., Uenal, F., Gouiran, M. D., Krainz, M., Pagel, L., Schmid, D. F., Spampatti, T., Mora, I. V., & Brosch, T. (2026) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2026.103176 · Cited by 1
Schattman, R. E. (2016) · ScholarWorks -A service of University of Vermont Libraries (University of Vermont) · Cited by 1
A Partisan and Polarized Issue in the United States
Palm, R. I., & Bolsen, T. (2020) · Coastal research library · doi:10.1007/978-3-030-32602-9_3 · Cited by 1
Beliefs and attitudes of university faculty members on climate change in the U.S.
Stavrianakis, K., & Farmer, J. R. (2023) · International Journal of Environmental Studies · doi:10.1080/00207233.2023.2170653 · Cited by 1
Communicating the Health Relevance of Climate Change
Sarfaty, M., & Maibach, E. W. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780197683293.003.0018 · Cited by 1
Self-citationOkafor, S. (2024) · Journal of Environmental Impact and Management Policy · doi:10.55529/jeimp.44.1.13 · Cited by 1
Belief-neutral Versus Belief-linked Knowledge as Predictors of Climate-change Opinions
Brown, A. R., & Hamilton, L. C. (2024) · SAGE Open · doi:10.1177/21582440241261806 · Cited by 1
Fernández, A. L., Castrechini, Á., Moreta‐Herrera, R., & Vázquez, A. (2024) · PsyEcology Bilingual Journal of Environmental Psychology · doi:10.1177/21711976241259319 · Cited by 1
People Believe If 90% Prefer A over B, A Must Be Much Better than B. Are They Wrong?
Overton, G., Evangelidis, I., & Vosgerau, J. (2024) · Journal of Consumer Research · doi:10.1093/jcr/ucae055 · Cited by 1
Political science: Partisans' science interests
Bolsen, T. (2017) · Nature Human Behaviour · doi:10.1038/s41562-017-0076 · Cited by 1
Kwon, Y., Chang, Y., & Jang, Y.-C. (2018) · Journal of Korea Society of Waste Management · doi:10.9786/kswm.2018.35.6.525 · Cited by 1
Die Physik des Klimawandels: Verstehen und Handeln
Scorza, C., Lesch, H., Strähle, M., & Boneberg, D. (2020) · Springer eBooks · doi:10.1007/978-3-662-59496-4_13 · Cited by 1
Niemeyer, S. (2020) · Knowledge and space · doi:10.1007/978-3-030-47150-7_12 · Cited by 1
The Investigation to the Learning Behaviour of Body Painting
WU, L.-A. (2022) · Archives of Business Research · doi:10.14738/abr.102.11713 · Cited by 1
Representando al clima: ¿quiénes hablan sobre el cambio climático en el ciberespacio?
Muñoz-Pico, H. P. (2022) · SciComm Report · doi:10.32457/scr.v2i1.1692 · Cited by 1
Combating Misinformation in the Open Access Era
Shakeri, S., & Hawamdeh, S. (2022) · Advances in knowledge acquisition, transfer, and management book series/Advances in knowledge acquisition, transfer and management book series · doi:10.4018/978-1-7998-9805-4.ch011 · Cited by 1
Porto, J. L. R., & Tostes, J. A. (2022) · Uniedusul Editora eBooks · doi:10.51324/54180221.1 · Cited by 1
SOMBREAMENTO DE SOLSTÍCIOS E EQUINÓCIO NO LARGO DOS INOCENTES, MACAPÁ (BRASIL)
Araújo, G. D. O., Celis, A. M. C., & Porto, J. L. R. (2022) · Uniedusul Editora eBooks · doi:10.51324/54180221.2 · Cited by 1
Cormick, C., & Edelsztein, V. C. (2026) · Daímon · doi:10.6018/daimon.558391 · Cited by 1
Merchants of Consensus: A Public Battle Against ExxonPreprint
Stirling, M. (2017) · SSRN Electronic Journal · doi:10.2139/ssrn.3029939 · Cited by 1
Efstratiou, A., & Caulfield, T. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2111.10594 · Cited by 4
A story of how a climate change sceptic politician changed their mindPreprint
Calyx, C., & Low, J. (2019) · doi:10.31235/osf.io/fmu7d · Cited by 1
Motivation and climate change: A reviewPreprint
Brick, C., Bosshard, A., & Whitmarsh, L. E. (2020) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/gcw9b · Cited by 2
The role of emotions on policy support and environmental engagementPreprint
Hignell, B., Saleemi, Z., & Valentini, E. (2022) · doi:10.31234/osf.io/4r25f · Cited by 1
An Audience-Centered Analysis of Cues to Which Group of Disputing Scientists is More CrediblePreprint
Johnson, B. B. (2022) · doi:10.32388/7aip0e · Cited by 1
How mixed messages may be better than silence in climate change educationPreprint
Stevenson, K. T., Busch, K. C., Peterson, M. N., Lawson, D. F., & Chávez, R. A. (2023) · Research Square · doi:10.21203/rs.3.rs-3084246/v1 · Cited by 1
Media Bias and Climate Change SkepticismPreprint
Ash, E., Boltachka, A., Galletta, S., & Pinna, M. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4632854 · Cited by 1
The Differential Impact of Climate Interventions along the Political Divide in 60 CountriesPreprint
Berkebile-Weinberg, M., Goldwert, D., Doell, K. C., Bavel, J. J. V., & Vlasceanu, M. (2024) · doi:10.31234/osf.io/jv6br · Cited by 1
Inoculation theory: Using misinformation to fight misinformation
Cook, J. (2017) · doi:10.64628/aai.vnqhk4sfq · Cited by 1
Lacroix, K. (2015) · UVic’s Research and Learning Repository (University of Victoria)
Consensus Nonsensus on 97%: Science is Not a DemocracyPreprint
Stirling, M. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2807652 · Cited by 1
97% Consequential Misperceptions: Ethics of Consensus on Global WarmingPreprint
Stirling, M. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2887245
Webb, B. S. (2016) · Digital Access to Scholarship at Harvard (DASH) (Harvard University)
Bock, C. (2018) · Climate change management · doi:10.1007/978-3-319-70479-1_10
Urban, J., Chabada, T., & Skalík, J. (2018) · Envigogika · doi:10.14712/18023061.563
Patel, T. R., Fowke, K. R., Matejcic, A., Evans, D. H., Grandvaux, N., Halperin, S. A., MacDonald, N. E., van Marle, G., & Cooper, C. (2019) · Journal of the Association of Medical Microbiology and Infectious Disease Canada · doi:10.3138/jammi.2018-0034
Building Better Graphs for Climate Change Communication: Evidence from Eye-Tracking
Courtney, S., & McNeal, K. S. (2018) · AGU Fall Meeting Abstracts
The Impact of Climate Change Information on Household Flight Choice: Preliminary Results
Carroll, J., Howard, M., Brazil, W., & Denny, E. (2019) · International Conference on the European Energy Market (EEM) · doi:10.1109/eem.2019.8916371
Study Methods and General Findings
Palm, R. I., & Bolsen, T. (2020) · Coastal research library · doi:10.1007/978-3-030-32602-9_5
Schaak, H. D. (2020) · Christian Education Journal Research on Educational Ministry · doi:10.1177/0739891320918607
Changing Climate Change Beliefs Through Source Matching
Davis, G. H. B. (2018) · The Knowledge Bank (The Ohio State University)
Effective Communication About Climate Change and Sea-Level Rise
Palm, R. I., & Bolsen, T. (2021) · Coastal research library · doi:10.1007/978-3-030-88435-2_4
Levy, N. L. (2021) · Oxford University Press eBooks · doi:10.1093/oso/9780192895325.003.0007
Levy, N. L. (2021) · Oxford University Press eBooks · doi:10.1093/oso/9780192895325.003.0006
Levy, N. L. (2021) · Oxford University Press eBooks · doi:10.1093/oso/9780192895325.003.0003
Levy, N. L. (2021) · Oxford University Press eBooks · doi:10.1093/oso/9780192895325.003.0002
Levy, N. L. (2021) · Oxford University Press eBooks · doi:10.1093/oso/9780192895325.003.0004
Persily, N., & Tucker, J. A. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108890960.001
Steg, L., & de Groot, J. I. M. (2018) · Wiley eBooks · doi:10.1002/9781119241072.refs
Contemporary Challenges to Democracy
(2022) · Cambridge University Press eBooks · doi:10.1017/9781108779104.025
Some Reflections on (Corona) Truth WarsPreprint
Rice, K. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3950307
Persily, N., & Tucker, J. A. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108890960.015
(2018) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-78754-353-920181012
PytlikZillig, L. M., Hutchens, M. J., Muhlberger, P., Gonzalez, F. J., & Tomkins, A. J. (2018) · SpringerBriefs in psychology · doi:10.1007/978-3-319-78160-0_3
Three Essays on the Politics of American Social ProgramsPreprint
Zhang, B. (2020) · Thesis Commons (OSF Preprints) · doi:10.31237/osf.io/7aytg
Ethical Issues in Work with Older Adults
Segal, D. L., Qualls, S. H., & Smyer, M. A. (2017) · Wiley eBooks · doi:10.1002/9781119133186.ch17
A Paradox of Information Aggregation
Mercier, H. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780197636916.003.0014
Reality, causes, consequences: the role of climate change perceptions in climate adaptation
van Valkengoed, A. M. (2022) · University of Groningen research database (University of Groningen / Centre for Information Technology) · doi:10.33612/diss.222288671
Bolstering the Value of Learning About Climate Science
Gehlbach, H. (2019) · American Educational Research Association Annual Meeting (AERA) · doi:10.3102/1429175
Gerken, M. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780198857273.005.0001
Public Scientific Testimony II
Gerken, M. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780198857273.003.0007
Gerken, M. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780198857273.002.0008
Gerken, M. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780198857273.003.0003
Gerken, M. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780198857273.003.0009
Gerken, M. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780198857273.003.0006
Gerken, M. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780198857273.003.0005
Scientific Justification as the Basis of Scientific Testimony
Gerken, M. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780198857273.003.0004
Gerken, M. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780198857273.002.0006
Gerken, M. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780198857273.003.0001
Gerken, M. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780198857273.002.0003
Testimony and the Scientific Enterprise
Gerken, M. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780198857273.003.0002
The Significance of Scentific Testimony
Gerken, M. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780198857273.003.0008
Gerken, M. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780198857273.002.0004
شريف, س. ع. ا. (2022) · مجلة کلیة التربیة فى العلوم النفسیة · doi:10.21608/jfeps.2022.270846
PERIFÉRICA OU ESTRATÉGICA? A CONDIÇÃO FRONTEIRIÇA DA LINDE AMAZÔNICA NO BRASIL
Porto, J. L. R., & Superti, E. (2022) · Uniedusul Editora eBooks · doi:10.51324/54180221.4
O PAPEL DA HISTÓRIA E DO MEDO DO VIZINHO NAS REPRESENTAÇÕES DO AMAPÁ PARA O BRASIL E A FRANÇA
Granger, S. (2022) · Uniedusul Editora eBooks · doi:10.51324/54180221.6
uimarães, F. (2022) · Uniedusul Editora eBooks · doi:10.51324/54180221.10
RELATOS DE TRABALHO DE CAMPO NA ÚNICA FRONTEIRA INTERNACIONAL DA FRANÇA COM O BRASIL
Porto, J. L. R. (2022) · Uniedusul Editora eBooks · doi:10.51324/54180221.5
O MERCADO IMOBILIÁRIO POR LOTEAMENTOS FECHADOS COMO IMPULSOR DA DISPERSÃO URBANA EM MACAPÁ, AMAPÁ
Corrêa, K. M. A., & Leonelli, G. C. V. (2022) · Uniedusul Editora eBooks · doi:10.51324/54180221.3
Public Opinion toward the Environment and Climate Change in the United States
Coleman, E. A., & Stewart, J. (2023) · doi:10.1093/obo/9780199756223-0351
Lyubykh, Z., Barclay, L. J., Fortin, M., Bashshur, M. R., & Khakhar, M. (2022) · Research in Organizational Behavior · doi:10.1016/j.riob.2023.100183
Preface: Rational Social Animals Go Wild
Levy, N. (2021) · Oxford University Press eBooks · doi:10.1093/oso/9780192895325.002.0006
Levy, N. (2021) · Oxford University Press eBooks · doi:10.1093/oso/9780192895325.002.0003
Sticky Brown Sludge EverywherePreprint
Shreedhar, G. (2023) · doi:10.31219/osf.io/yc4zg
Senthilkumaran, A., Velautham, L., & Ranney, M. A. (2023) · Proceedings. · doi:10.22318/icls2023.259798
Politicisation of Science and Health Topics
Stein, R. A., & Ometa, O. (2024) · Springer eBooks · doi:10.1007/978-3-031-49084-2_21
Swain, K. A. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-91227-3.00006-8
Pro-Vaccine and Anti-Vaccine Discourse
Breeze, R. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-95504-1.00039-9
“Experts think…” The production and comprehension of propositional attitude generics
Haigh, M., Birch, H. A., & Clelland, H. T. (2024) · Thinking & Reasoning · doi:10.1080/13546783.2024.2370924
What is the IPCC’s assessment style and what shaped it?
Târziu, G. (2024) · Open Research Europe · doi:10.12688/openreseurope.18095.1
Motivated Social Cognition About Social Justice
Hennes, E. P., Dang, L., & Jost, J. T. (2024) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780197763414.013.37
Cormick, C., & Edelsztein, V. C. (2024) · Principia an international journal of epistemology · doi:10.5007/1808-1711.2024.e93904
Using Expert Consensus to Persuade the Public
Jorm, A. F. (2024) · Springer eBooks · doi:10.1007/978-981-97-9222-1_11
Klimmt, C., & Spreen, N. (2024) · Science communication · doi:10.1177/10755470241308532 · Cited by 1
Comparing logical and emotional arguments for disaster mitigation
Astobiza, A. M., & Lozano, R. O. (2025) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2025.105599 · Cited by 1
(2025) · Texila international journal of academic research · doi:10.21522/tijar.2014.12.03.art010
Ophir, Y., Walter, D., Lokmanoglu, A. D., & Walter, N. (2025) · Annals of the International Communication Association · doi:10.1093/anncom/wlaf016
Metadata
- Authors
- van der Linden, S. L., Leiserowitz, A. A., Feinberg, G. D., & Maibach, E. W.
- Affiliations
- Yale University (US)
- George Mason University (US)
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2015-02-25
- Volume
- 10
- Issue
- 2
- Pages
- e0118489
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC4340922
- OpenAlex
- W2139841269
- Cited by
- 661
- References
- 28
- Citations by year
- 2026: 53 · 2025: 50 · 2024: 51 · 2023: 47 · 2022: 88 · 2021: 76 · 2020: 78 · 2019: 65 · 2018: 57 · 2017: 42 · 2016: 37 · 2015: 17
- FWCI
- 168.59
- 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)
- Funders
- American Association for the Advancement of Science
- Rockefeller Family Fund
- 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
- scientific consensus, climate change beliefs, public perception of science, anthropogenic climate change, climate policy support
- MeSH terms
- Humans, Models, Theoretical, Consensus, 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 ›
Are you an author, or do you see a problem with this page? Request a review