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Vectors into the Future of Mass and Interpersonal Communication Research: Big Data,Social Media,and Computational Social Science
Authors:Joseph N. Cappella
Affiliation:Annenberg School for Communication, University of Pennsylvania, Philadelphia, USA
Abstract:Simultaneous developments in big data, social media, and computational social science have set the stage for how we think about and understand interpersonal and mass communication. This article explores some of the ways that these developments generate 4 hypothetical “vectors”—directions—into the next generation of communication research. These vectors include developments in network analysis, modeling interpersonal and social influence, recommendation systems, and the blurring of distinctions between interpersonal and mass audiences through narrowcasting and broadcasting. The methods and research in these arenas are occurring in areas outside the typical boundaries of the communication discipline but engage classic, substantive questions in mass and interpersonal communication.
Keywords:Big Data  Computational Social Science  Merging Mass and Interpersonal Communication  Recommendation Systems
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