A thematic analysis of what Australians state would change their minds on climate change

What do Australians believe would change their current opinions about climate change? In this study, we used audience segmentation analysis through the Six Americas Short Survey to identify groups of climate opinion holders within a representative sample of Australians. We had 4857 participants tell us what it would take to change their current opinions about climate change and leveraged OpenAI's Generative Pre-Trained Transformer (GPT) to identify the presence or absence of themes (Nothing, Evidence and Information, Trusted Sources, Action, and Unsure) and subthemes in their responses. GPT performed at near-human levels, proving to be a highly useful tool for thematic analysis. Our analyses revealed that strong climate denialists and believers tended to display greater dogmatism, with increased likelihood of stating that nothing would change their mind and lower likelihood of being unsure. Results also highlighted the need for diverse forms of evidence and information and the importance of trusted sources of information across audience segments. These findings provide support for GPT's utility in managing large datasets in the social sciences and offer participant-informed insights into climate opinion change.

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Publication Details

Journal
Scientific Reports
Published
2025-04-22
DOI
https://doi.org/10.1038/s41598-025-96714-z
Citations
1
Primary Topic
Climate Change Communication and Perception
Type
article
Field-Weighted Citation Impact
4.20
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A thematic analysis of what Australians state would change their minds on climate change

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A thematic analysis of what Australians state would change their minds on climate change

Iain Walker, Kelly Kirkland, Zoe Leviston, Samantha K. Stanley, Abby Robinson, Amy S G Lee
article en
1 citations

Abstract

What do Australians believe would change their current opinions about climate change? In this study, we used audience segmentation analysis through the Six Americas Short Survey to identify groups of climate opinion holders within a representative sample of Australians. We had 4857 participants tell us what it would take to change their current opinions about climate change and leveraged OpenAI's Generative Pre-Trained Transformer (GPT) to identify the presence or absence of themes (Nothing, Evidence and Information, Trusted Sources, Action, and Unsure) and subthemes in their responses. GPT performed at near-human levels, proving to be a highly useful tool for thematic analysis. Our analyses revealed that strong climate denialists and believers tended to display greater dogmatism, with increased likelihood of stating that nothing would change their mind and lower likelihood of being unsure. Results also highlighted the need for diverse forms of evidence and information and the importance of trusted sources of information across audience segments. These findings provide support for GPT's utility in managing large datasets in the social sciences and offer participant-informed insights into climate opinion change.

Scientific ReportsVol. 15(1)
Australian National University (AU), Edith Cowan University (AU), The University of Queensland (AU), The University of Melbourne (AU), UNSW Sydney (AU)
Climate action
Openalex Percentile: Top 8%
Climate Change Communication and Perception
4.20
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