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.

翻译：本研究提出了ClimateSent-GAT模型，这是一种创新方法，将图注意力网络（GATs）与自然语言处理技术相结合，以准确识别和预测Reddit评论-回复对中的分歧。我们的模型将分歧分为三类：同意、反对和中性。通过利用Reddit评论-回复对固有的图结构，该模型能够捕捉复杂的交互模式和情感动态，从而显著超越了现有基准。这项研究推进了基于图的自然语言处理方法，并为气候科学传播领域的政策制定者和教育工作者提供了可行的见解。