ArticleNature communications2024
Public agreement with misinformation about wind farms.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Sampling and processing of climate change information and disinformation across three diverse countries.British journal of psychology (London, England : 1953) · 2026Article
- Blueprint of a smokescreen: Introducing the validated climate disinformation corpus for behavioural research on combating climate disinformation.British journal of psychology (London, England : 1953) · 2026Article
- Not that different after all: Pro-environmental social norms predict pro-environmental behaviour (also) among those believing in conspiracy theories.British journal of psychology (London, England : 1953) · 2026Article
- Evaluating generative AI's potential to dispel misinformation about wind farms.Scientific reports · 2026Article
- Youth, personality and collective victimhood distinguish support for radical climate action.Communications psychology · 2026Article
- How belief in conspiracy theories could harm sustainability.Nature human behaviour · 2025Review
- Conspiracy beliefs predict perceptions of procedural justice.Scientific reports · 2025Article
- Public agreement with misinformation about wind farms.Nature communications · 2024Article
- The Appraisal Model of Conspiracy Theories (AMCT): Applying Appraisal Theories to Understand Emotional and Behavioral Reactions to Conspiracy Theories.Psychological inquiry · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Misinformation campaigns target wind farms, but levels of agreement with this misinformation among the broader public are unclear. Across six nationally quota-based samples in the United States, United Kingdom, and Australia (total N = 6008), over a quarter of respondents agree with half or more of contrarian claims about wind farms. Agreement with diverse claims is highly correlated, suggesting an underlying belief system directed at wind farm rejection. Consistent with this, agreement is best predicted (positively) by a conspiracist worldview (i.e., the general tendency to believe in conspiracy theories; explained variance ΔR² = 0.11-0.20) and (negatively) by a pro-ecological worldview (ΔR² = 0.04-0.13). Exploratory analyses show that agreement with contrarian claims is associated with lower support for pro-wind policies and greater intentions to protest against wind farms. We conclude that wind farm contrarianism is a mainstream phenomenon, rooted in people's worldviews and that poses a challenge for communicators and institutions committed to accelerating the energy transition.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.