Code

Code for: Public agreement with misinformation about wind farms

Author(s) / Creator(s)

Winter, Kevin
Hornsey, Matthew J.
Pummerer, Lotte
Sassenberg, Kai

Abstract / Description

Code for: Winter, K., Hornsey, M.J., Pummerer, L. et al. Public agreement with misinformation about wind farms. Nat Commun 15, 8888 (2024). https://doi.org/10.1038/s41467-024-53278-2
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.

Persistent Identifier

Date of first publication

2024-09-19

Publisher

PsychArchives

Is referenced by

Citation

  • Author(s) / Creator(s)
    Winter, Kevin
  • Author(s) / Creator(s)
    Hornsey, Matthew J.
  • Author(s) / Creator(s)
    Pummerer, Lotte
  • Author(s) / Creator(s)
    Sassenberg, Kai
  • PsychArchives acquisition timestamp
    2024-09-19T14:42:05Z
  • Made available on
    2024-09-19T14:42:05Z
  • Date of first publication
    2024-09-19
  • Abstract / Description
    Code for: Winter, K., Hornsey, M.J., Pummerer, L. et al. Public agreement with misinformation about wind farms. Nat Commun 15, 8888 (2024). https://doi.org/10.1038/s41467-024-53278-2
    en
  • Abstract / Description
    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.
    en
  • Publication status
    unknown
  • Review status
    unknown
  • Sponsorship
    This research was funded by a grant of the Deutsche Forschungsgemeinschaft (DFG, #SA800/17-1) awarded to K.S. and M.J.H. as well as an Australian Research Council Discovery Grant (DP210102292) awarded to M.J.H. and K.S.
  • Persistent Identifier
    https://hdl.handle.net/20.500.12034/10872
  • Persistent Identifier
    https://doi.org/10.23668/psycharchives.15445
  • Language of content
    eng
  • Publisher
    PsychArchives
  • Is referenced by
    https://doi.org/10.1038/s41467-024-53278-2
  • Is related to
    https://www.psycharchives.org/handle/20.500.12034/10871
  • Dewey Decimal Classification number(s)
    150
  • Title
    Code for: Public agreement with misinformation about wind farms
    en
  • DRO type
    code
  • Leibniz institute name(s) / abbreviation(s)
    ZPID