April 25, 2024, 7:42 p.m. | Cristian Rojas, Frank Algra-Maschio, Mark Andrejevic, Travis Coan, John Cook, Yuan-Fang Li

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.15673v1 Announce Type: new
Abstract: Misinformation about climate change poses a significant threat to societal well-being, prompting the urgent need for effective mitigation strategies. However, the rapid proliferation of online misinformation on social media platforms outpaces the ability of fact-checkers to debunk false claims. Automated detection of climate change misinformation offers a promising solution. In this study, we address this gap by developing a two-step hierarchical model, the Augmented CARDS model, specifically designed for detecting contrarian climate claims on Twitter. …

abstract arxiv automated cards change checkers climate climate change cs.lg false however machine machine learning media misinformation platforms prompting social social media social media platforms strategies threat twitter type

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