36 citations · 60 across the 4 of their papers we have counts for
4 papers
Birdwatch: Crowd Wisdom and Bridging Algorithms can Inform Understanding and Reduce the Spread of Misinformation
Stefan Wojcik, Sophie Hilgard, Nick Judd +5
We present an approach for selecting objectively informative and subjectively helpful annotations to social media posts. We draw on data from on an online environment where contrib…
Lessons Learned Addressing Dataset Bias in Model-Based Candidate Generation at Twitter
Alim Virani, Jay Baxter, Dan Shiebler +7
Traditionally, heuristic methods are used to generate candidates for large scale recommender systems. Model-based candidate generation promises multiple potential advantages, prima…
Fighting Redundancy and Model Decay with Embeddings
Dan Shiebler, Luca Belli, Jay Baxter +2
Every day, hundreds of millions of new Tweets containing over 40 languages of ever-shifting vernacular flow through Twitter. Models that attempt to extract insight from this fireho…
BayesDB: A probabilistic programming system for querying the probable implications of data
Vikash Mansinghka, Richard Tibbetts, Jay Baxter +2
Is it possible to make statistical inference broadly accessible to non-statisticians without sacrificing mathematical rigor or inference quality? This paper describes BayesDB, a pr…