IJoC Publishes a Special Section on Computational Communication Science

International Journal of Communication
Publishes a Special Section on
Computational Communication Science

CCS image

As communication and media data have become increasingly available in a digital format, computational methods have been used to process such digital trace data to understand the economic, societal, and political implications of communication. The current computational turn of communication science is at the maturing stage that will define communication science in the coming years.

This Special Section on Computational Methods for Communication Science: Toward A Strategic Roadmap brings together nine original papers plus an editorial introduction on the flourishing field of Computational Communication Science (CCS). The main goal of this Special Section is to contribute to the current discussion on CCS by reflecting on the opportunities and challenges in the field. Thus, these papers provide new perspectives and valuable insight in two different contexts of CCS research: 1) community-building and the status-quo of the CCS discipline, and 2) advances in computational methods and their theoretical contributions. These published articles provide important new driving impulses, an overview of the most pressing challenges in the context of CCS, and sketch a potential roadmap for future research in this field.

We invite you to read this new Special Section of 10 articles that published in the International Journal of Communication on Sunday, September 7, 2019. Please Ctrl+Click  on the titles below for hyperlinking to these articles.


Outlining the Way Ahead in Computational Communication Science: An Introduction to the IJoC Special Section on “Computational Methods for Communication Science: Toward A Strategic Roadmap” 
Emese Domahidi, JungHwan Yang, Julia Niemann-Lenz, Leonard Reinecke

Crafting a Strategic Roadmap for Computational Methods in Communication Science: Learnings From the CCS 2018 Conference in Hanover – Commentary
Julia Niemann-Lenz, Sophie Bruns, Dorothée Hefner, Katharina Knop-Hülß, Daniel Possler, Sabine Reich, Leonard Reinecke, Jule Scheper, Christoph Klimmt  

Data Is the New Oil—But How Do We Drill It? Pathways to Access and Acquire Large Data Sets in Communication Science
Daniel Possler, Sophie Bruns, Julia Niemann-Lenz

Computational Communication Science: A Methodological Catalyzer for a Maturing Discipline
Martin Hilbert, George Barnett, Joshua Blumenstock, Noshir Contractor, Jana Diesner, Seth Frey, Sandra González-Bailón, PJ Lamberson, Jennifer Pan, Tai-Quan (Winson) Peng, Cuihua (Cindy) Shen, Paul E. Smaldino, Wouter van Atteveldt, Annie Waldherr, Jingwen Zhang, Jonathan J. H. Zhu 

Toward Open Computational Communication Science: A Practical Road Map for Reusable Data and Code
Wouter van Atteveldt, Joanna Strycharz, Damian Trilling, Kasper Welbers

Because Technology Matters: Theorizing Interdependencies in Computational Communication Science with Actor–Network Theory
Annie Waldherr, Stephanie Geise, Christian Katzenbach

Bridging the Gaps: Using Agent-Based Modeling to Reconcile Data and Theory in Computational Communication Science
Annie Waldherr, Martin Wettstein

When the Journey is as Important as the Goal: A Roadmap to Multilingual Dictionary Construction
Fabienne Lind, Jakob-Moritz Eberl, Tobias Heidenreich, Hajo G. Boomgaarden

The Temporal Turn in Communication Research: Time Series Analyses Using Computational Approaches
Chris Wells, Dhavan V. Shah, Jon C. Pevehouse, Jordan Foley, Ayellet Pelled, Josephine Lukito, JungHwan Yang

Automated Coding of Televised Leader Displays: Detecting Nonverbal Political Behavior With Computer Vision and Deep Learning
Jungseock Joo, Erik P. Bucy, Claudia Seidel  


Larry Gross

Arlene Luck
Managing Editor

Emese Domahidi, Technische Universität Ilmenau
JungHwan Yang, University of Illinois at Urbana-Champaign
Julia Niemann-Lenz, Hanover University of Music, Drama and Media
Leonard Reinecke, Johannes Gutenberg University Mainz
Guest Editors