Decoding Climate Disagreement: A Graph Neural Network-Based Approach to Understanding Social Media Dynamics
<|reference_start|>Decoding Climate Disagreement: A Graph Neural Network-Based Approach to Understanding Social Media Dynamics: 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.<|reference_end|>
@article{su2024decoding,
    title={Decoding Climate Disagreement: A Graph Neural Network-Based Approach to
  Understanding Social Media Dynamics},
    author={Ruiran Su, Janet B. Pierrehumbert},
    journal={arXiv preprint arXiv:2407.07038},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.07038},
    primaryClass={cs.CL}
}