Evidence map›Paper›PMID 40263334›Full record

ArticleScientific reports2025

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

Amy S G Lee, Kelly Kirkland, Samantha K Stanley, Abby Robinson, Zoe Leviston, Iain Walker

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Amy S G LeeMelbourne School of Psychological Sciences, University of Melbourne, Melbourne, Australia. amy.l@unimelb.edu.au.ORCID http://orcid.org/0009-0006-6417-6701
Kelly KirklandMelbourne School of Psychological Sciences, University of Melbourne, Melbourne, Australia.ORCID http://orcid.org/0000-0001-7286-6506
Samantha K StanleyUNSW Institute for Climate Risk and Response, University of New South Wales, Sydney, Australia.ORCID http://orcid.org/0000-0002-1272-5768
Abby RobinsonMelbourne School of Psychological Sciences, University of Melbourne, Melbourne, Australia.ORCID http://orcid.org/0000-0002-2723-0784
Zoe LevistonSchool of Arts and Humanities, Edith Cowan University, Joondalup, Australia.ORCID http://orcid.org/0000-0002-4969-7916
Iain WalkerMelbourne School of Psychological Sciences, University of Melbourne, Melbourne, Australia.ORCID http://orcid.org/0000-0002-1020-5873

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Australasian PeopleClimate ChangePublic OpinionAdultAustraliaFemaleHumansMaleMiddle AgedSurveys and QuestionnairesAudience segmentationChat GPTClimate changeLarge language modelsOpinion changeSix Americas

Identifiers

PMID40263334
PMCPMC12015523

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.