1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Spot Check Equivalence: an Interpretable Metric for Information Elicitation Mechanisms
Shengwei Xu, Yichi Zhang, Paul Resnick +1
Because high-quality data is like oxygen for AI systems, effectively eliciting information from crowdsourcing workers has become a first-order problem for developing high-performan…
cs.SI2024
Calibrate-Extrapolate: Rethinking Prevalence Estimation with Black Box Classifiers
Siqi Wu, Paul Resnick
In computational social science, researchers often use a pre-trained, black box classifier to estimate the frequency of each class in unlabeled datasets. A variety of prevalence es…
cs.CL2023★ 1 cited
How We Define Harm Impacts Data Annotations: Explaining How Annotators Distinguish Hateful, Offensive, and Toxic Comments
Angela Schöpke-Gonzalez, Siqi Wu, Sagar Kumar +2
Computational social science research has made advances in machine learning and natural language processing that support content moderators in detecting harmful content. These adva…