Computational Communication Research

Current Issue

Vol 1 No 1 (2019)
Published December 2, 2019
Inaugural Issue

The articles in this first issue present a snapshot of all aspects of computational communication research.

Besides our editorial introduction, in which we describe the state of the field and the role of our new journal, it includes contributions by 4 groups of scholars.

 

Hopp, Schaffer, Fisher, and Weber present the Interface for Communication Research (iCoRe), a user-friendly web
interface to access, explore, and analyze the Global Database of Events,
Language, and Tone (GDELT). Pak uses Structural Topic Models to show how the
Twitter feed of newspapers differ from their online content. Haim and Nienierza
present an open source browser plug-in that they use to observe both the content and context of the consumption of (public) Facebook posts. Kim, Yang, Kim, Hemenway, Ungar, and Cappella
used state-of-the-art recommender system techniques to create personalized health communication messages in a longitudinal study.

 

We are confident that this is just the beginning of a stream of great research articles, and we look forward to your contributions and reviews

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Computational Communication Research is a new, peer-reviewed, open-access journal founded from the ICA Computational Methods Interest Group. It is published by Amsterdam University Press, and its first issue is upcoming.

We welcome submissions that further the understanding, development and application of computational methods in communication research. Computational methods include (but are not limited to) methods such as text analysis, social/semantic network analysis, online experiments, machine learning, visual analysis and agent-based modeling and simulations. Computational methods can be applied to “big data” and social media or (online) behavior data, but can also be used to provide a more sophisticated understanding of “small data” or for theoretical explorations.

Submissions should discuss, introduce, or apply computational methods to build and/or test theory or to quantify, analyze, explore or visualize communication structures and processes.

In particular, we welcome submissions that :

  • Apply computational methods to communication research questions;
  • Present innovative computational methods for communication research;
  • Evaluate or validate computational approaches to communication research;
  • Address the role of computational methods in communication research;
  • Present or validate tools, software packages, and datasets that are useful for communication research.

Papers can be either full papers of up to 9,000 words, shorter research notes of 3,000 – 4,000 words, or tutorials. Research notes should be focused on reporting data sets, tools, or empirical analyses and should contain a short introduction, with references and theoretical discussion kept to a minimum. Please submit manuscripts through the submission system, or browse this website for more information on aims&scope, editorial policy, and editorial team.