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Toward Computational Social Science: Big Data in Digital Environments

The exponential growth of structured and unstructured social data has confronted social scientists with a unique challenge: How can researchers best use computational tools to analyze such data with the goal of understanding individuals and their interactions within social systems? The unprecedented availability of information on discrete behaviors, social expressions, personal connections, and social alignments provides insights on a range of phenomena and influence processes — from personality traits to political behaviors; from public opinion to relationship formation. This volume, edited by Dhavan Shah, Joseph Cappella, and Russ Nueman, explores some of the key issues and opportunities confronting researchers who pursue computational social science in communications and related disciplines. [The ANNALS of the American Academy of Political and Social Science]

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