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Studying Online Censorship Perception & Bias Using Social Media & Unsupervised Machine Learning

Video Type: Case Study

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Summary

Carnegie Mellon University PhD candidate, Qinlan Shen, discusses her online censorship perception and bias research using social media and unsupervised machine learning, including what prompted the research, data collection methods, challenges faced, and research still to come.

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