PhD Candidate / Information ScienceUniversity of Washington
I’m Isaac, a PhD candidate at the UW’s iSchool. My research explores how people navigate information online and how digital platforms can best support them in doing so. I apply novel statistical techniques to large-scale data, and am broadly interested in the effects that digital platforms have on our beliefs and behavior. My recent research focuses on crowdsourced content moderation systems, particularly X’s Community Notes.
I am advised by Dr. Martin Saveski, and previously received my BA in Statistics from Northwestern University. My work has appeared in the Proceedings of the National Academy of Sciences, as well as the proceedings of Computational Social Science, Natural Language Processing, and Responsible AI conferences like IC2S2, EMNLP, or FAccT. Outside of research, I like to train my dog Gia, drink boba with my fiancée, and hangout with friends and family.
arXiv
@preprint{de2026human,
title={How Human Feedback Shapes AI-generated Community Notes},
author={Soham De and Isaac Slaughter and Jiawei Guo and Qiao-Yun Cheng and Jiayuan Yan and Sruti Banerjee and Martin Saveski},
year={2026},
month = jun,
urldate = {2026-06-29},
eprint={2606.30905},
archivePrefix={arXiv},
primaryClass={cs.CY},
url={https://arxiv.org/abs/2606.30905},
}arXiv
@preprint{daepp2026early,
title={How Early Adopters Used Generative AI Worldwide: Variation by Country Income and Language},
author={Daepp, Madeleine I. G. and Slaughter, Isaac},
year={2026},
month = may,
urldate = {2026-05-29},
eprint={2605.30685},
archivePrefix={arXiv},
primaryClass={cs.CY},
url={https://arxiv.org/abs/2605.30685},
}PNAS (Proceedings of the National Academy of Sciences)
@article{slaughter2025community,
author = {Slaughter, Isaac and Peytavin, Axel and Ugander, Johan and Saveski, Martin},
title = {Community Notes Reduce Engagement With and Diffusion of False Information Online},
journal = {Proceedings of the National Academy of Sciences},
year = {2025},
volume = {122},
number = {38},
pages = {e2503413122},
doi = {10.1073/pnas.2503413122},
url = {https://www.pnas.org/doi/abs/10.1073/pnas.2503413122},
eprint = {https://www.pnas.org/doi/pdf/10.1073/pnas.2503413122}
}All my publications in one place.
Email (is28@uw.edu) is a good way to get in touch, but you can also use the form below.
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