Computational Communication Research (CCR) is a peer reviewed and open-access journal focusing on development and application of computational methods in communication science.
Computational Methods are of increasing importance and prominence in the field of Communication Science. CCR aims to provide a central home for communication scientists with an interest in and focus on computational methods — a place to read and publish the cutting edge work in this growing subfield. In keeping with this aim, the journal will emphasize the following:
Scientists using computational methods face particular challenges and trade-offs that are not always apparent to researchers using traditional methods. For instance, questions of sampling strategy, appropriate sample sizes, how to detect and treat null-findings, which norms constitute validity and how to establish causality, need nuanced answers from scientists with a good understanding of computational methods. Editors of CCR will prioritize reviewers with experience and a solid understanding of computational methods.
There are currently many excellent journals in the field that accept and promote computational communication research. Most, however, do so because computational methods overlap with a subject area of interest (e.g. New Media & Society; Journal of Computer-Mediated Communication). As a result, computational researchers often must shoehorn their work to fit the topical aims of these journals and current computational work is scattered over the various journals of our respective subfields, even though the methods and challenges can be highly similar. By gathering this work in a single venue, CCR facilitates the timely generation and distribution of computational research outputs among peers with shared interest and enhance the significance and visibility of computational methods in communication research.
As researchers using computational methods, we are used to sharing our data, code, and tools on platforms like github. CCR will facilitate and generally require tools and data to be shared on accepted platforms and stimulate the publication of tools and data sets as stand-alone contributions. CCR encourages preregistration of studies.
We strive to learn from editorial and review procedures pioneered by computational scholars that increase the transparency of the publication and review process. Thus, after a rigorous double-blind review phase to determine whether a manuscript is publishable, we will offer preprint publications and unblinded or single-blinded constructive reviewing procedures for articles still under review (see policy below).
The Journal publishes 4 issues each year.
CCR is an Open Access, online only journal, funded primarily through sponsorships and donations. CCR does not charge a subscription fee and does not currently charge a mandatory article processing fee.
Wouter van Atteveldt (VU Amsterdam)
Drew Margolin (Cornell University)
Cuihua (Cindy) Shen (UC Davis)
Damian Trilling (University of Amsterdam)
Rene Weber (UC Santa Barbara)
Robert Ackland (Australian National University)
Ken Benoit (LSE)
Robert Bond (Ohio State University)
Hajo Boomgaarden (University of Vienna)
Joseph Cappella (University Penn)
Noshir Contractor (Northwestern University)
Jana Diesner (UIUC)
Domahidi Emese (Technical U Ilmenau)
Elizabeth Dubois (University of Ottawa)
Deen Freelon (UNC)
Sandra González-Bailón (U Penn)
Pascal Juergens (University of Mainz)
Martin Hilbert (UC Davis)
Olessia Koltsova (St. Petersburg Higher School of Economics)
Hai Liang (City University, Hong Kong)
Benjamin Mako Hill (University of Washington)
Ericka Menchen-Trevino (American University)
Jennifer Pan (Stanford University)
Winson Peng (Michigan State University)
Marshall Scott Poole (UIUC)
Michael Scharkow (Zeppelin University)
CCR welcomes the publication of:
CCR publishes articles only after a rigorous peer-review process. CCR strives towards quick publication, as the speed of computational developments quickly outpaces current publication cycles. Besides encouraging quick reviews and taking quick decisions, this will be facilitated by a two-phase review process.
In phase one, a traditional double blind ‘adversarial’ review takes place, where the central task for the reviewer and editors is to judge whether a manuscript is (potentially) publishable: is it high-quality, novel (including meaningful replication), and relevant. The outcome of phase one, which can hopefully be done in a single review round, is a conditional decision (intent) to publish. This should be in between what is normally a ‘major’ and ‘minor’ revision: there can be more than just minor revisions, but if all revisions and objections are dealt with, in principle it should be published.
After the conditional decision to publish, the author is encouraged to publish the manuscript on a preprint archive like SSRN or SocArXiv. The journal website will link to this manuscript as a ‘working paper’. Any revisions in this phase are not required to be blinded. The reviewers get the option to be publicly identified on the article if published.
Articles in this journal have Digital Object Identifiers (DOIs), which are registered with CrossRef. The DOI is a unique number that identifies a published article. The DOI provides a link to current information about that article, including where it can be found online, irrespective of any changes in the journal or publishing company website.
For long-term preservation, all issues of this journal are archived at the Dutch National Library.