Decoding Climate Disagreement: A Graph Neural Network-Based Approach to Understanding Social Media Dynamics
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Abstract (arXiv)
This work introduces the ClimateSent-GAT Model, an innovative method that integrates Graph Attention Networks (GATs) with techniques from natural language processing to accurately identify and predict disagreements within Reddit comment-reply pairs. Our model classifies disagreements into three categories: agree, disagree, and neutral. Leveraging the inherent graph structure of Reddit comment-reply pairs, the model significantly outperforms existing benchmarks by capturing complex interaction patterns and sentiment dynamics. This research advances graph-based NLP methodologies and provides actionable insights for policymakers and educators in climate science communication.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 19 of its 49 references that are in the map. First posted on arXiv 9 Jul 2024.
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19 of 49 references.
References · 19
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7 more
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