Communicating the Scientific Consensus on Climate Change: Diverse Audiences and Effects Over Time
Open accessPublished version of a preprint
Abstract
Prior research has demonstrated that communicating the scientific consensus that human-caused climate change is happening is an effective way to increase public understanding and engagement with the issue. However, less is known about (1) how persuasive this message is to oppositional audiences, (2) how long message effects last over time, and (3) what factors predict whether such effects last. We address these questions in a two-wave longitudinal study and find that consensus messaging leads to updated consensus beliefs across Global Warming’s Six Americas. Although consensus treatment effects decay over time, 40% of the original treatment effect remains 26 days later. Additionally, the treatment effect is most durable among people Doubtful or Dismissive of climate change. Our findings address an ongoing debate in the literature and support a Bayesian learning perspective, with little evidence of motivated reasoning.
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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.
“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 Goldberg et al., 2022
Cites
The case for motivated reasoning.
Kunda, Z. (1990) · Psychological Bulletin · doi:10.1037/0033-2909.108.3.480 · Cited by 9,022 · see citing works
The Elaboration Likelihood Model of Persuasion
Petty, R. E., & Cacioppo, J. T. (1986) · Communication and Persuasion · doi:10.1007/978-1-4612-4964-1_1 · Cited by 3,202 · see citing works
Meta-analyses of the determinants and outcomes of belief in climate change
Hornsey, M. J., Harris, E. A., Bain, P. G., & Fielding, K. S. (2016) · Nature Climate Change · doi:10.1038/nclimate2943 · Cited by 1,616 · see citing works
A Theory of Framing and Opinion Formation in Competitive Elite Environments
Chong, D., & Druckman, J. N. (2007) · Journal of Communication · doi:10.1111/j.1460-2466.2006.00331.x · Cited by 1,159 · see citing works
Inoculating 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 · see citing works
Self-citationCook, J., Lewandowsky, S., & Ecker, U. K. H. (2017) · PLOS ONE · doi:10.1371/journal.pone.0175799 · Cited by 971 · see citing works
The Elusive Backfire Effect: Mass Attitudes’ Steadfast Factual Adherence
Wood, T., & Porter, E. (2019) · Political Behavior · doi:10.1007/s11109-018-9443-y · Cited by 904 · see citing works
How Conditioning on Posttreatment Variables Can Ruin Your Experiment and What to Do about It
Montgomery, J. M., Nyhan, B., & Torres, M. (2018) · American Journal of Political Science · doi:10.1111/ajps.12357 · Cited by 800 · cited 1× · see citing works
“In hindsight, we realize the placement of this question after the treatment creates the risk of post-treatment bias (Montgomery et al., 2018).”
BackgroundThe evidence for motivated reasoning in climate change preference formation
Druckman, J. N., & McGrath, M. C. (2019) · Nature Climate Change · doi:10.1038/s41558-018-0360-1 · Cited by 733 · cited 1× · see citing works
“…evidence in order to reach a more accurate belief) when presented with information about climate change that runs contrary to their prior opinions (Druckman & McGrath, 2019) and that negative backlash to oppositional information may be the exception rather than the rule (Guess & Coppock, 2020;…”
ResultThe scientific consensus on climate change as a gateway belief: experimental evidence
van der Linden, S. L., Leiserowitz, A. A., Feinberg, G. D., & Maibach, E. W. (2015) · PLOS ONE · doi:10.1371/journal.pone.0118489 · Cited by 661 · see citing works
Self-citationThe graphical presentation of a collection of means
Goldstein, H., & Healy, M. J. R. (1995) · Journal of the Royal Statistical Society. Series A (Statistics in Society) · doi:10.2307/2983411 · Cited by 639 · see citing works
The pivotal role of perceived scientific consensus in acceptance of science
Lewandowsky, S., Gignac, G. E., & Vaughan, S. (2013) · Nature Climate Change · doi:10.1038/nclimate1720 · Cited by 527 · see citing works
Support for climate policy and societal action are linked to perceptions about scientific agreement
Ding, D., Maibach, E. W., Zhao, X., Roser-Renouf, C., & Leiserowitz, A. (2011) · Nature Climate Change · doi:10.1038/nclimate1295 · Cited by 441 · see citing works
The gateway belief model: a large-scale replication
van der Linden, S., Leiserowitz, A., & Maibach, E. (2019) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2019.01.009 · Cited by 262 · see citing works
Self-citationInformation utility and the multiple source effect
Harkins, S. G., & Petty, R. E. (1987) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.52.2.260 · Cited by 210 · see citing works
Boomerangs versus javelins: how polarization constrains communication on climate change
Zhou, J. (2016) · Environmental Politics · doi:10.1080/09644016.2016.1166602 · Cited by 208 · cited 1× · see citing works
“Empirical research has presented evidence of motivated reasoning patterns in the effects of communication about environmental issues (e.g., Bolsen et al., 2014; Hart & Nisbet, 2014; Zhou, 2016).”
BackgroundThe Effect of Information Provision on Public Consensus about Climate Change
Deryugina, T., & Shurchkov, O. (2016) · PLOS ONE · doi:10.1371/journal.pone.0151469 · Cited by 150 · see citing works
Scientific agreement can neutralize politicization of facts
Linden, S. V. D., Leiserowitz, A., & Maibach, E. (2017) · Nature Human Behaviour · doi:10.1038/s41562-017-0259-2 · Cited by 136 · see citing works
Self-citationMyers, T. A., Maibach, E., Peters, E., & Leiserowitz, A. (2015) · PLOS ONE · doi:10.1371/journal.pone.0120985 · Cited by 102 · see citing works
Self-citationExperimental effects of climate messages vary geographically
Zhang, B., van der Linden, S., Mildenberger, M., Marlon, J. R., Howe, P. D., & Leiserowitz, A. (2018) · Nature Climate Change · doi:10.1038/s41558-018-0122-0 · Cited by 87 · see citing works
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Pimentel, D. R. (2025) · Journal of Research in Science Teaching · doi:10.1002/tea.21974 · Cited by 28 · see citing works
- Authors
- Goldberg, M. H., Gustafson, A., van der Linden, S., Rosenthal, S. A., & Leiserowitz, A.
- Affiliations
- Yale University (US)
- University of Cincinnati (US)
- University of Cambridge, Cambridge, UK
- Corresponding author
- Goldberg, Matthew H.
- ORCID
- Venue
- Environment and Behavior
- Publisher
- SAGE Publications
- Published
- 2022-08
- Volume
- 54
- Issue
- 7-8
- Pages
- 1133-1165
- ISSN
- 0013-9165 (ISSN-L)
- 1552-390X
- OpenAlex
- W4303987368
- Cited by
- 46
- References
- 20
- Citations by year
- 2026: 9 · 2025: 16 · 2024: 11 · 2023: 9 · 2022: 1
- FWCI
- 13.31
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Environment and Behavior (publishedVersion)
- PsyArXiv (OSF Preprints) (submittedVersion)
- PsyArXiv (OSF Preprints) (submittedVersion, cc-by)
- Funders
- 11th Hour Project
- Energy Foundation
- Heising-Simons Foundation
- John D. and Catherine T. MacArthur Foundation
- Topics
- Social Sciences › Sociology and Political Science › Climate Change Communication and Perception
- Social Sciences › Sociology and Political Science › Risk Perception and Management
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Climate Change Policy and Economics
- Keywords
- climate change communication, public opinion on climate change, treatment effects over time, climate change skepticism, Bayesian learning, motivated reasoning
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