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Jay Baxter
Observed name:
Baxter, Jay
Observed institutions:
Twitter (United States),
MIT Computer Science and Artificial Intelligence Laboratory,
Massachusetts Institute of Technology
ORCID:
0009-0003-7342-420X
Observed ORCID:
0009-0003-7342-420X
OpenAlex ID:
A5108747244
Birdwatch: Crowd Wisdom and Bridging Algorithms can Inform Understanding and Reduce the Spread of Misinformation
2022
·
Wojcik, Stefan
, Hilgard, Sophie
, et al.
·
arXiv (Cornell University)
·
128
PDF
BayesDB: A probabilistic programming system for querying the probable implications of data
2015
·
Mansinghka, Vikash
, Tibbetts, Richard
, et al.
·
arXiv (Cornell University)
·
29
PDF
Scaling Human Judgment in Community Notes with LLMs
2025
·
Haiwen Li
, Soham De
, et al.
·
Journal of Online Trust and Safety
·
16
Fighting Redundancy and Model Decay with Embeddings
2018
·
Shiebler, Dan
, Belli, Luca
, et al.
·
arXiv (Cornell University)
·
4
PDF
Lessons Learned Addressing Dataset Bias in Model-Based Candidate Generation at Twitter
2021
·
Virani, Alim
, Baxter, Jay
, et al.
·
arXiv (Cornell University)
·
3
PDF
BayesDB : querying the probable implications of tabular data
2014
·
Jay Baxter
·
DSpace@MIT (Massachusetts Institute of Technology)
·
2
PDF
Community-Driven API and AI Writer Design for Openly Scaling Community Notes
2026
·
Miller, Brad
, Baxter, Jay
, et al.
·
arXiv (Cornell University)
·
1
PDF
Gaming Consensus: Coordinated Manipulation in Crowdsourced Fact-Checking
2026
·
Selvam, Nikil Roashan
, Baxter, Jay
, et al.
·
arXiv (Cornell University)
PDF
Growing Up in New Zealand Study Independent Review: optimal timing and design of future data-collection waves
2018
·
Francisco Perales
, Andrew Campbell
, et al.
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Works count:
9
Citation count:
183
H-index:
4
I10-index:
3
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