The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Correcting misinformation about climate change: the impact of partisanship in an experimental setting
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Citations
Cites
The case for motivated reasoning.
Kunda, Z. (1990) · Psychological Bulletin · doi:10.1037/0033-2909.108.3.480 · Cited by 9,022
The Elaboration Likelihood Model of Persuasion
Petty, R. E., & Cacioppo, J. T. (1986) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(08)60214-2 · Cited by 8,822 · cited 1×
“However, information content is not the only factor in persuasion: opinions are also affected by the source of information (Petty and Cacioppo 1986).”
BackgroundThe Nature and Origins of Mass Opinion
Zaller, J. R. (1992) · doi:10.1017/cbo9780511818691 · Cited by 7,785
Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk
Berinsky, A. J., Huber, G. A., & Lenz, G. S. (2012) · Political Analysis · doi:10.1093/pan/mpr057 · Cited by 4,008
Inside the Turk: Understanding Mechanical Turk as a Participant Pool
Paolacci, G., & Chandler, J. (2014) · Current Directions in Psychological Science · doi:10.1177/0963721414531598 · Cited by 2,136
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
Lodge, M., & Taber, C. S. (2013) · doi:10.1017/cbo9781139032490 · Cited by 1,281
Gauchat, G. (2012) · American Sociological Review · doi:10.1177/0003122412438225 · Cited by 1,091 · cited 1×
“However, partisanship increasingly influences perceptions of scientific credibility (Gauchat 2012, Motta 2017), so scientists may not necessarily be the most effective source of a persuasive message.”
BackgroundThe Political Divide on Climate Change: Partisan Polarization Widens in the U.S.
Dunlap, R. E., McCright, A. M., & Yarosh, J. H. (2016) · Environment: Science and Policy for Sustainable Development · doi:10.1080/00139157.2016.1208995 · Cited by 786
The 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
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
Why do people believe COVID-19 conspiracy theories?
Uscinski, J. E., Enders, A. M., Klofstad, C., Seelig, M., Funchion, J., Everett, C., Wuchty, S., Premaratne, K., & Murthi, M. (2020) · Harvard Kennedy School Misinformation Review · doi:10.37016/mr-2020-015 · Cited by 429
Social Media, Echo Chambers, and Political Polarization
Barberá, P. (2020) · Social Media and Democracy · doi:10.1017/9781108890960.004 · Cited by 373
Misinformation, Disinformation, and Online Propaganda
Guess, A. M., & Lyons, B. A. (2020) · Social Media and Democracy · doi:10.1017/9781108890960.003 · Cited by 284
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
Metadata
- Authors
- Benegal, S. D., & Scruggs, L. A.
- Venue
- Climatic Change
- Published
- 2018-04-13
- Volume
- 148
- Issue
- 1-2
- Pages
- 61-80
- ISSN
- 0165-0009 (ISSN-L)
- 1573-1480
- OpenAlex
- W2798244769
- Cited by
- 234
- References
- 14
- FWCI
- 54.68
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Correcting misinformation about climate change: the impact of partisanship in an experimental setting. https://app.cochat.ai/papers/10.1007/s10584-018-2192-4
- The paper
- Benegal, S. D., & Scruggs, L. A. (2018). Correcting misinformation about climate change: the impact of partisanship in an experimental setting. Climatic Change. https://doi.org/10.1007/s10584-018-2192-4
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.