Publications

Community Notes Moderate Engagement With and Diffusion of False Information Online

Isaac Slaughter, Axel Peytavin, Johan Ugander Martin Saveski

arXiv preprint

Paper

Intrinsic Bias is Predicted by Pretraining Data and Correlates with Downstream Performance in Vision-Language Encoders

Kshitish Ghate,* Isaac Slaughter,* Kyra Wilson, Mona Diab, Aylin Caliskan

NAACL

Paper | Code

Investigating the Heterogeneous Effects of Community-Driven Fact-Checking on Social Media

Axel Peytavin, Isaac Slaughter, Johan Ugander, Martin Saveski

International Conference on Computational Social Science

The Impact of iBuying is About More Than Just Racial Disparities: Evidence from Mecklenburg County, NC

Isaac Slaughter, Eva Maxfield Brown, Nic Weber

ACM Conference on Fairness, Accountability, and Transparency

Paper | Code | UW News | Communications of the ACM 

Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings

Robert Wolfe, Isaac Slaughter, Bin Han, Bingbing Wen, Yiwei Yang, Lucas Rosenblatt, Bernease Herman, Eva Maxfield Brown, Zening Qu, Nic Weber, Bill Howe

ACM Conference on Fairness, Accountability, and Transparency

Paper | Code

Vessel trajectory prediction with recurrent neural networks: An evaluation of datasets, features, and architectures

Isaac Slaughter, Jagir Laxmichand Charla, Martin Siderius, John Lipor

Journal of Ocean Engineering and Science

Paper | Code

Pre-trained Speech Processing Models Contain Human-Like Biases that Propagate to Speech Emotion Recognition

Isaac Slaughter, Craig Greenberg, Reva Schwartz, Aylin Caliskan

Findings of EMNLP

Paper | Code