72 citations · 101 across the 3 of their papers we have counts for
3 papers
cs.HC2022★ 72 cited
CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation
Mark Diaz, Ian D. Kivlichan, Rachel Rosen +4
Human annotated data plays a crucial role in machine learning (ML) research and development. However, the ethical considerations around the processes and decisions that go into dat…
cs.HC2022★ 5 cited
Is Your Toxicity My Toxicity? Exploring the Impact of Rater Identity on Toxicity Annotation
Nitesh Goyal, Ian Kivlichan, Rachel Rosen +1
Machine learning models are commonly used to detect toxicity in online conversations. These models are trained on datasets annotated by human raters. We explore how raters' self-de…
cs.LG2021★ 24 cited
Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation
Remi Denton, Mark Díaz, Ian Kivlichan +2
Human annotations play a crucial role in machine learning (ML) research and development. However, the ethical considerations around the processes and decisions that go into buildin…