Dr. Tamar Mitts, Assistant Professor of International and Public Affairs at Columbia University, shares her research on ISIS radicalization and it's relationship to social isolation, anti-Muslim sentiment, and counter-extremism programs. We discuss Dr. Mitts' Twitter dataset that uses spatial algorithms to identify ISIS sympathizers' locations and machine learning to identify pro-ISIS sentiment. Toward the end of the episode, we discuss how computer vision tools such as Amazon's Rekognition API can be used to detect violent imagery in ISIS propaganda.
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