Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity

Valentin Hofmann, Xiaowen Dong, Janet B. Pierrehumbert, Hinrich Schütze. Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity. In Marine Carpuat, Marie-Catherine de Marneffe, Iván Vladimir Meza Ruíz, editors, Findings of the Association for Computational Linguistics: NAACL 2022, Seattle, WA, United States, July 10-15, 2022. pages 536-550, Association for Computational Linguistics, 2022. [doi]

@inproceedings{HofmannDPS22,
  title = {Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity},
  author = {Valentin Hofmann and Xiaowen Dong and Janet B. Pierrehumbert and Hinrich Schütze},
  year = {2022},
  url = {https://aclanthology.org/2022.findings-naacl.41},
  researchr = {https://researchr.org/publication/HofmannDPS22},
  cites = {0},
  citedby = {0},
  pages = {536-550},
  booktitle = {Findings of the Association for Computational Linguistics: NAACL 2022, Seattle, WA, United States, July 10-15, 2022},
  editor = {Marine Carpuat and Marie-Catherine de Marneffe and Iván Vladimir Meza Ruíz},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-955917-76-6},
}