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Momin M. Malik is a multidisciplinary researcher who brings statistical modeling to bear on critical, reflexive questions with and about large-scale digital trace data. He is broadly concerned with issues of algorithmic power and control, and of validity and rigor in computational social science. In addition to empirical work modeling social media and mobile phone sensor data, he works on how to understand statistics, machine learning, and data science from critical and constructivist perspectives, on ethical and policy implications of predictive modeling, and on understanding and communicating foundational problems in statistical models of social networks. He has an undergraduate degree in history of science from Harvard, a master's from the Oxford Internet Institute, and a PhD from Carnegie Mellon University's School of Computer Science.


Publications

Thursday, Feb 23, 2012

Youth and Digital Media: From Credibility to Information Quality

Building upon a process- and context-oriented information quality framework, this paper seeks to map and explore what we know about the ways in which young users of age 18 and… More