Computational communication science:

Author(s)
Annie Waldherr, Sandra Gonzales-Bailon, Martin Hilbert, George Barnett, Joshua Blumenstock, Noshir Contractor, Jana Diesner, Seth Frey, Jennifer Pan , Paul Smaldino, Jingwen Zhang, Wouter van Atteveldt, PJ Lamberso, Tai-Quan Peng, Cuihua (Cindy) Shen, Jonathan J.H. Zhu
Abstract

This article reviews the opportunities and challenges for computational research methods in the field of communication. Among the social sciences, communication stands out as a discipline with a relatively low-profile institutionalized focus on the in-house development of methods. Computational tools are changing this, and they are catalyzing a new set of methods directly suited to tackling foundational research questions in communication. We systematically review how computational methods affect the three fundamental pillars of the scientific method: observational approaches (i.e., digital trace data), theoretical approaches (i.e., computer simulations), and experimental research (i.e., virtual labs and field experiments). We stress that data are a catalyzer but not a requirement for computational science. We explore how observational, theoretical, and experimental approaches can be combined and cross-fertilize one another. We conclude that taking advantage of computational methods will require a systematic effort in our discipline to develop and adjust these methods

Organisation(s)
External organisation(s)
University of Pennsylvania, University of California, Davis, University of California, Berkeley, Northwestern University, Stanford University, University of California, Merced, Vrije Universiteit Amsterdam, University of Illinois at Urbana-Champaign, University of California, Los Angeles, Michigan State University, Westfälische Wilhelms-Universität Münster, City University of Hong Kong (CityU)
Journal
International Journal of Communication (IJoC)
Volume
13
Pages
3912-3934
No. of pages
22
ISSN
1932-8036
Publication date
2019
Peer reviewed
Yes
Austrian Fields of Science 2012
508007 Communication science
Portal url
https://ucris.univie.ac.at/portal/en/publications/computational-communication-science(ddac984a-151b-4d0c-974c-5121487ecb70).html