The social anatomy of climate change denial in the United States.

Publication date: Mar 08, 2024

Using data from Twitter (now X), this study deploys artificial intelligence (AI) and network analysis to map and profile climate change denialism across the United States. We estimate that 14. 8% of Americans do not believe in climate change. This denialism is highest in the central and southern U. S. However, it also persists in clusters within states (e. g., California) where belief in climate change is high. Political affiliation has the strongest correlation, followed by level of education, COVID-19 vaccination rates, carbon intensity of the regional economy, and income. The analysis reveals how a coordinated social media network uses periodic events, such as cold weather and climate conferences, to sow disbelief about climate change and science, in general. Donald Trump was the strongest influencer in this network, followed by conservative media outlets and right-wing activists. As a form of knowledge vulnerability, climate denialism renders communities unprepared to take steps to increase resilience. As with other forms of misinformation, social media companies (e. g., X, Facebook, YouTube, TikTok) should flag accounts that spread falsehoods about climate change and collaborate on targeted educational campaigns.

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Concepts Keywords
Americans Change
Misinformation Climate
Science Denial
Vaccination Denialism
Youtube Deploys


Type Source Name
disease MESH level of education
disease MESH COVID-19
disease VO vaccination
drug DRUGBANK Activated charcoal
drug DRUGBANK Coenzyme M
disease VO time
disease VO USA
disease IDO country
disease VO population
disease VO Gap
disease MESH anomalies
drug DRUGBANK Proline
drug DRUGBANK Abacavir
disease VO volume
disease IDO process
disease MESH uncertainty
disease VO Imovax ID
disease VO report
disease VO effective
disease MESH violence
drug DRUGBANK Alpha-1-proteinase inhibitor
drug DRUGBANK Indoleacetic acid
drug DRUGBANK Tretamine
drug DRUGBANK Carbon dioxide
drug DRUGBANK Ranitidine
disease IDO algorithm
disease VO frequency
disease VO inefficient
drug DRUGBANK Alpha-Linolenic Acid
drug DRUGBANK Mirtazapine
disease IDO quality
pathway REACTOME Reproduction

Original Article

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