Hierarchical machine learning models can identify stimuli of | ResearchBunny

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Abstract

Climate change misinformation significantly threatens societal well-being. This study addresses the rapid spread of online misinformation by developing a two-step hierarchical model, Augmented CARDS, to categorize climate claims on Twitter. Analyzing five million climate-themed tweets from 2022, the study finds that over half of contrarian claims involve attacks on climate actors. Spikes in contrarianism correlate with political events, natural events, contrarian influencers, or convinced influencers. Implications for automated responses to misinformation are discussed.

Publisher

Communications Earth & Environment

Published On

Aug 16, 2024

Authors

Cristian Rojas, Frank Algra-Maschio, Mark Andrejevic, Travis Coan, John Cook, Yuan-Fang Li

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