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Optimistic vs. pessimistic endings in climate change appeals

Author

Listed:
  • Brandi S. Morris

    (Aarhus University)

  • Polymeros Chrysochou

    (Aarhus University
    University of South Australia)

  • Simon T. Karg

    (Aarhus University)

  • Panagiotis Mitkidis

    (Aarhus University
    Duke University)

Abstract

The use of emotion in climate change appeals is a hotly debated topic. Warning about the perils of imminent mass extinction, climate change communicators are often accused of being unnecessarily ‘doomsday’ in their attempts to foster a sense of urgency and action among the public. Pessimistic messaging, the thinking goes, undermines engagement efforts, straining credulity and fostering a sense of helplessness, rather than concern. Widespread calls for more optimistic climate change messaging punctuate public discourse. This research puts these claims to the test, investigating how affective endings (optimistic vs. pessimistic vs. fatalistic) of climate change appeals impact individual risk perception and outcome efficacy (i.e., the sense that one’s behavior matters). The findings of three online experiments presented in this paper suggest that climate change appeals with pessimistic affective endings increase risk perception (Studies 1 and 2) and outcome efficacy (Study 3), which is the result of heightened emotional arousal (Studies 1–3). Moreover, the results indicate that the mediating effect of emotional arousal is more prevalent among political moderates and conservatives, as well as those who hold either individualistic or hierarchical world views. Given that these audiences generally exhibit lower risk perception and outcome efficacy in relation to climate change, the results suggest that climate change appeals with pessimistic endings could trigger higher engagement with the issue than optimistic endings. These findings are interpreted in light of recent research findings, which suggest that differences in threat-reactivity and emotional arousal may be attributable to brain functions/anatomy mappable to basic motivations for safety and survival. Implications for scholars and practitioners are discussed.

Suggested Citation

  • Brandi S. Morris & Polymeros Chrysochou & Simon T. Karg & Panagiotis Mitkidis, 2020. "Optimistic vs. pessimistic endings in climate change appeals," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-8, December.
  • Handle: RePEc:pal:palcom:v:7:y:2020:i:1:d:10.1057_s41599-020-00574-z
    DOI: 10.1057/s41599-020-00574-z
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    References listed on IDEAS

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    1. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    2. Paul Slovic & Melissa L. Finucane & Ellen Peters & Donald G. MacGregor, 2004. "Risk as Analysis and Risk as Feelings: Some Thoughts about Affect, Reason, Risk, and Rationality," Risk Analysis, John Wiley & Sons, vol. 24(2), pages 311-322, April.
    3. Dan M. Kahan, 2017. "‘Ordinary science intelligence’: a science-comprehension measure for study of risk and science communication, with notes on evolution and climate change," Journal of Risk Research, Taylor & Francis Journals, vol. 20(8), pages 995-1016, August.
    4. Ganzach, Yoav, 2000. "Judging Risk and Return of Financial Assets," Organizational Behavior and Human Decision Processes, Elsevier, vol. 83(2), pages 353-370, November.
    5. Dan M. Kahan & Hank Jenkins-Smith & Donald Braman, 2011. "Cultural cognition of scientific consensus," Journal of Risk Research, Taylor & Francis Journals, vol. 14(2), pages 147-174, February.
    6. Adam Mayer & E. Keith Smith, 2019. "Unstoppable climate change? The influence of fatalistic beliefs about climate change on behavioural change and willingness to pay cross-nationally," Climate Policy, Taylor & Francis Journals, vol. 19(4), pages 511-523, April.
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    Cited by:

    1. Ting Liu & Nick Shryane & Mark Elliot, 2022. "Attitudes to climate change risk: classification of and transitions in the UK population between 2012 and 2020," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-15, December.

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