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Online misinformation about climate change
Open accessAbstract
Policymakers, scholars, and practitioners have all called attention to the issue of misinformation in the climate change debate. But what is climate change misinformation, who is involved, how does it spread, why does it matter, and what can be done about it? Climate change misinformation is closely linked to climate change skepticism, denial, and contrarianism. A network of actors are involved in financing, producing, and amplifying misinformation. Once in the public domain, characteristics of online social networks, such as homophily, polarization, and echo chambers—characteristics also found in climate change debate—provide fertile ground for misinformation to spread. Underlying belief systems and social norms, as well as psychological heuristics such as confirmation bias, are further factors which contribute to the spread of misinformation. A variety of ways to understand and address misinformation, from a diversity of disciplines, are discussed. These include educational, technological, regulatory, and psychological‐based approaches. No single approach addresses all concerns about misinformation, and all have limitations, necessitating an interdisciplinary approach to tackle this multifaceted issue. Key research gaps include understanding the diffusion of climate change misinformation on social media, and examining whether misinformation extends to climate alarmism, as well as climate denial. This article explores the concepts of misinformation and disinformation and defines disinformation to be a subset of misinformation. A diversity of disciplinary and interdisciplinary literature is reviewed to fully interrogate the concept of misinformation—and within this, disinformation—particularly as it pertains to climate change. This article is categorized under: Perceptions, Behavior, and Communication of Climate Change > Communication
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Citations
Cites
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Cited by
Romanello, M., Walawender, M., Hsu, S.-C., Moskeland, A., Palmeiro-Silva, Y., Scamman, D., Ali, Z., Ameli, N., Angelova, D., Ayeb-Karlsson, S., et al. (2024) · The Lancet · doi:10.1016/s0140-6736(24)01822-1 · Cited by 897
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Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction
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Deepfakes and scientific knowledge dissemination
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A Vision for University Biology Education for Non-science Majors
Gormally, C., & Heil, A. (2022) · CBE—Life Sciences Education · doi:10.1187/cbe.21-12-0338 · Cited by 28
Metadata
- Authors
- Treen, K. M. D., Williams, H. T. P., & O'Neill, S. J.
- Venue
- WIREs Climate Change
- Publisher
- Wiley
- Published
- 2020-06-18
- Volume
- 11
- Issue
- 5
- ISSN
- 1757-7780 (ISSN-L)
- 1757-7799
- OpenAlex
- W3036619158
- Cited by
- 441
- References
- 112
- FWCI
- 52.55
- Type
- journal article
- Language
- en
- Open access
- hybrid
- Funders
- Economic and Social Research Council (ES/P011489/1)
- University of Exeter
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