Social media algorithms and AI systems rely on data to learn what is offensive. But who’s behind the data, and how do their backgrounds influence their decisions? A recent study by U-M School of Information assistant professor David Jurgens and PhD candidate Jiaxin Pei suggests that the backgrounds of data annotators — the people labeling texts, videos, and online media — matter a lot.
