5 citations · 7 across the 2 of their papers we have counts for
2 papers
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★ 2 cited
Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation
Ian D. Kivlichan, Zi Lin, Jeremiah Liu +1
Content moderation is often performed by a collaboration between humans and machine learning models. However, it is not well understood how to design the collaborative process so a…