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The gateway (mis)belief model: How misinformation impacts perceptions of scientific consensus and attitudes towards climate change

2025/09/01 by Hannah Timna Logemann, Jacob B. Rode, Rakoen Maertens +1 · 4 citations
Environmental Science · Psychology · Social Sciences · #Action (physics) #Climate Change Communication and Perception #Climate change #Computer science #Environmental Education and Sustainability #Epistemology #Gateway (web page) #Global warming #Law #Misinformation #Misinformation and Its Impacts #Perception #Political science #Psychology #Referendum #Scientific consensus #Scientific evidence #Social psychology

paper · pdf · doi:10.1111/bjop.70022

published in British Journal of Psychology (Wiley)

openalex publication_date 2025/09/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/05/21

Abstract

Abstract Climate change is one of the greatest threats to humanity, necessitating immediate action to combat its consequences. Although there is a nearly unanimous scientific consensus that climate change is human‐caused, misinformation doubting its causes continues to circulate widely. In this study, we test the Gateway (mis)Belief Model (GmBM) which assumes that misinformation affects perceived scientific consensus negatively, which then cascades down to lower support for public action to mitigate climate change via changes in key beliefs about the issue. We present a reanalysis of data from two online studies in which U.S. participants ( N 1 = 207, N 2 = 755) were exposed to misinformation using a pre‐post mixed design manipulating assessments of the scientific consensus on climate change. Results showed that misinformation indeed leads to lower estimations of scientific consensus, which cascade down to lower support for public action via corresponding beliefs. However, the pattern of significance of direct effects did not exactly replicate those in the original GBM, though misinformation still had negative direct (Experiments 1–2) and indirect effects (Experiment 2) on several downstream climate outcomes. These findings are further affirmed by an internal meta‐analysis. Overall, this study highlights the negative impact of misinformation on climate attitudes and policy support.

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