Scholar
Jay Baxter
Google Scholar ID: mcBOmJYAAAAJ
Twitter
Citations & Impact
Citations
207
H-index
5
i10-index
4
Publications
11
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Published the main original paper on Community Notes (previously called Birdwatch), which describes the algorithm/product, surveys of note quality, and an A/B test measuring reduced engagement rates on posts with notes; Community Notes have been extensively studied by external researchers, finding it significantly increases trust in fact-checking and reduces the spread of misinformation on social media.
Research Experience
- Led the development of the Community Notes project at X, involving machine learning and scoring algorithms; involved in multiple research efforts related to Community Notes, including work on reducing the spread of misleading posts.
Education
- Studied computer science and AI at MIT, where he built BayesDB. Interned in software engineering and machine learning at Palantir, Google, Diffeo, and Numenta.
Background
- Founding Community Notes ML Lead and Sr. Staff ML Engineer at X. Previously, lead in Twitter's Cortex Applied Machine Learning Research, focusing on real-time recommender systems and user modeling.
Miscellany
- Active on X: @jaybaxter; proposed ways to incorporate LLM-written notes into Community Notes.
Co-authors