Six insights from climate psychology for the study of misinformation

Summary

This Comment argues that misinformation research, as a relatively young field, can accelerate its maturity by borrowing hard-won lessons from climate psychology. The two domains are framed as interconnected global crises — both involving collective-action dilemmas, both targeted by organised opposition from vested interests, and both requiring researchers to navigate politicised terrain. Drawing on this parallel, Spampatti and colleagues distill six insights spanning intervention design, behavioural measurement, contextual generalisability, systems thinking, company collaborations, and collective organisation among researchers, each accompanied by actionable recommendations.

Key Contributions

• Builds an explicit bridge between climate psychology and misinformation research, treating the former as a more mature analogue.
• Offers six structured insights with concrete recommendations (summarised in Box 1) for future misinformation work.
• Highlights underexplored frontiers: offline misinformation, non-Western and non-Anglophone contexts, state-driven disinformation, and system-level interventions such as middleware.
• Frames researcher resilience and formal collaboration networks as core methodological infrastructure for politically contested topics.
• Advocates concrete methodological upgrades: intervention tournaments, ManyLabs-style replications, and measurement of consequential real-world behaviour.

Methods

A perspective/Comment article synthesising literatures across climate psychology and misinformation research, drawing comparative parallels between the two fields’ trajectories and distilling six transferable insights with accompanying recommendations.

Findings

• Fewer than 1% of misinformation studies measure real-world, high-impact behavioural outcomes — the field overrelies on cognitive proxies.
• Political ideology strongly predicts climate attitudes in the US but is a weaker predictor in non-native-English-speaking countries, exposing the limits of US-centric generalisations.
• Misinformation corrections work unevenly across outcomes (e.g., belief vs sharing) and domains (e.g., conservation vs climate change).
• Fossil-fuel-funded academic reports skew favourably toward hazardous energy sources, illustrating how company collaborations can distort findings.
• Misinformation research is heavily concentrated on US partisanship and online social media, with offline and cross-national contexts comparatively neglected.
• Coordinated efforts like ManyLabs and the IPCC show that organised collaboration improves both evidence quality and resilience to attack.
• Information provision alone is insufficient; effective interventions must engage motivational, emotional, and social drivers.

Connections

This piece sits naturally alongside meta-level critiques of the misinformation field’s scope, measurement, and prevalence claims — most directly Budak2024-ef and Gonzalez-Bailon2024-rq, which similarly question the field’s empirical priorities and dominant assumptions. Its emphasis on intervention design and resistance to manipulation connects to inoculation and prebunking work represented by van-der-Linden2026-jt (Sander van der Linden is a coauthor here), while its call to broaden beyond US/online contexts speaks to comparative and cross-national efforts such as Humprecht2025-ml and Cazzamatta2026-lo. The call for behavioural rather than cognitive outcomes also resonates with sharing-focused experimental work like Mosleh2024-op and DeVerna2025-dl.

Podcast

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