Dr. Hemphill studies conversations in social media and aims to promote just access to social media spaces and their data. She uses computational approaches to modeling political topics, predicting and addressing toxicity in online discussions, and tracing linguistic adaptations among extremists. She also studies digital data curation and is especially interested in ways to measure and model data reuse so that we can make informed decisions about how to allocate data resources.
Libby Hemphill
Associate Professor of Information, School of Information
Research Associate Professor, Inter-University Consortium for Political and Social Research, Institute for Social Research; Associate Professor, Digital Studies Institute, College of Literature, Science, and the Arts
digital data, justice, social media
COntact
WebsiteLocation
Ann Arbor
Methodologies
Databases and Data Management / Machine Learning / Natural Language Processing
Applications