1 code implementation • 16 Nov 2023 • Xinliang Frederick Zhang, Winston Wu, Nick Beauchamp, Lu Wang
News media employ moral language to create memorable stories, and readers often engage with the content that align with their values.
1 code implementation • 28 Oct 2023 • Kaijian Zou, Xinliang Frederick Zhang, Winston Wu, Nick Beauchamp, Lu Wang
We benchmark PAC to highlight the challenges of this task.
no code implementations • 28 Oct 2023 • Yujian Liu, Xinliang Frederick Zhang, Kaijian Zou, Ruihong Huang, Nick Beauchamp, Lu Wang
Public opinion is shaped by the information news media provide, and that information in turn may be shaped by the ideological preferences of media outlets.
1 code implementation • 2 Nov 2022 • Xinliang Frederick Zhang, Nick Beauchamp, Lu Wang
We present a novel generative framework to allow the generation of canonical names for entities as well as stances among them.
1 code implementation • Findings (NAACL) 2022 • Yujian Liu, Xinliang Frederick Zhang, David Wegsman, Nick Beauchamp, Lu Wang
Ideology is at the core of political science research.
no code implementations • TACL 2017 • Lu Wang, Nick Beauchamp, Sarah Shugars, Kechen Qin
Using a dataset of 118 Oxford-style debates, our model's combination of content (as latent topics) and style (as linguistic features) allows us to predict audience-adjudicated winners with 74% accuracy, significantly outperforming linguistic features alone (66%).