
About
Michael Miller Yoder is a Teaching Assistant Professor at the University of Pittsburgh's School of Computing and Information. He holds a PhD from Carnegie Mellon University's Language Technologies Institute. His research focuses on natural language processing (NLP), computational social science, and countering online extremism through text analysis. He has explored topics like white supremacist discourse evolution ('chanification'), identity construction in misogynistic forums, and ethical implications of AI in education. His work often integrates quantitative methods with societal impact analysis.
Yoder teaches graduate-level NLP courses and contributes to the Applied Data-Driven Methods program. His prior roles include postdoctoral research at CMU's Collaboratory Against Hate and part-time instruction at Pitt. Notable collaborations involve Kathleen M. Carley and David West Brown on projects analyzing hate speech and extremism.
His publications span peer-reviewed journals and conferences like ACL, EMNLP, and WebSci, with a focus on computational tools for social analysis. He co-developed StoryQ, an educational NLP tool for K-12 students, emphasizing accessibility and ethical AI literacy.
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