42 citations · 88 across the 5 of their papers we have counts for
5 papers
Concept-Guided Chain-of-Thought Prompting for Pairwise Comparison Scoring of Texts with Large Language Models
Patrick Y. Wu, Jonathan Nagler, Joshua A. Tucker +1
Existing text scoring methods require a large corpus, struggle with short texts, or require hand-labeled data. We develop a text scoring framework that leverages generative large l…
Large Language Models Can Be Used to Estimate the Latent Positions of Politicians
Patrick Y. Wu, Jonathan Nagler, Joshua A. Tucker +1
Existing approaches to estimating politicians' latent positions along specific dimensions often fail when relevant data is limited. We leverage the embedded knowledge in generative…
Dictionary-Assisted Supervised Contrastive Learning
Patrick Y. Wu, Richard Bonneau, Joshua A. Tucker +1
Text analysis in the social sciences often involves using specialized dictionaries to reason with abstract concepts, such as perceptions about the economy or abuse on social media.…
Understanding how people consume low quality and extreme news using web traffic data
Zhouhan Chen, Haohan Chen, Juliana Freire +2
To mitigate the spread of fake news, researchers need to understand who visit fake new sites, what brings people to those sites, where visitors come from, and what content they pre…
YouTube Recommendations and Effects on Sharing Across Online Social Platforms
Cody Buntain, Richard Bonneau, Jonathan Nagler +1
In January 2019, YouTube announced it would exclude potentially harmful content from video recommendations but allow such videos to remain on the platform. While this step intends…