Beyond Digital "Echo Chambers": The Role of Viewpoint Diversity in Political Discussion

1 code implementation • 18 Dec 2022 • Rishav Hada, Amir Ebrahimi Fard, Sarah Shugars, Federico Bianchi, Patricia Rossini, Dirk Hovy, Rebekah Tromble, Nava Tintarev

We find that the diversity scores for both Fragmentation and Representation are lower for immigration than for DST.

Recommendation Systems

Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse

no code implementations • NAACL 2018 • Xingshan Zeng, Jing Li, Lu Wang, Nicholas Beauchamp, Sarah Shugars, Kam-Fai Wong

We propose a statistical model that jointly captures: (1) topics for representing user interests and conversation content, and (2) discourse modes for describing user replying behavior and conversation dynamics.

Winning on the Merits: The Joint Effects of Content and Style on Debate Outcomes

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%).