Chancellor's research builds and critically examines human-centered algorithms for high-risk, dangerous health behaviors in online communities. She uses digital trace data from millions of interactions on social media to understand and identify high-risk behaviors with machine learning and computational linguistics, combined with interdisciplinary insights from clinical psychology critical data studies.
