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In this article we argue that computational tools are helping to catalyze a new set of methods uniquely suited to tackling Communication research questions. We provide evidence that computational methods are not only a natural fit for the field of Communication, but that the emerging empirical and computational possibilities should motivate Communication scholars to develop new methods in order to assure the relevance of our field in a communicative landscape that is currently mainly designed by computer scientists and commercial interests. We review recent development, examples and proposals in four different fields:
• Observational research (i.e. digital footprints).
• Theoretical research (i.e. simulation models).
• Experimental research (i.e. virtual labs).
• Mixed methods research (i.e. content analysis).
Martin Hilbert, U of California at Davis
George A. Barnett, SUNY, Buffalo
Joshua Blumenstock, U of California, Berkeley
Jana Diesner, U of Illinois at Urbana-Champaign
Seth Frey, UC Davis
PJ Lamberson, U of California, Los Angeles
Jennifer Pan, Stanford University
Paul Smaldino, U of California, Merced
Annie Waldherr, U of Muenster
Jingwen Zhang, University of California, Davis
Jonathan J. H. Zhu, City U of Hong Kong