Computational Methods and Big Data in Communication Research

Journal issue, 30. June 2020.

Call for Papers Nº47 (DEC. 2020): Computational Methods and Big Data in Communication Research

We kindly invite researchers and academics to send us their contributions for the number 47 de, titulado Computational Methods and Big Data in Communication Research. Papers referring to other topics of communications may also be submitted to the journal, and will be published in the “General topics” section.
Guest editors: Carlos Arcila Calderón (Universidad de Salamanca), Wouter Van Atteveldt (VU University Amsterdam) y Damian Trilling (University of Amsterdam).

Deadline for submissions: June 30, 2020.

email contact: <>


The increasing amount of social data and the recent incorporation of computational methods into social sciences and humanities are prompting communication research to include novel approaches to study media and communication practices. In this special issue, we invite authors to send proposals that reflect empirical and theoretical work using computational methods that surpass or complement traditional methods applied to communication research. Computational methods might be used to manage both small and big data problems with special interest in the application of machine learning approaches to structured and unstructured data. Special attention will be paid to text analytics, text mining, sentiment analysis and topic modeling to media content, social media posts or other types of texts that are relevant to communication research. Advanced visualization and studies in data journalism will be considered as well. We also welcome research derived from social network and semantic network analysis, as well as agent-based modeling, experimental and simulation research. Papers should include a theoretical discussion of how these methods are transforming the questions, hypotheses and results in our field.
The current body of literature in the nascent field of computational communication research includes comparatively little work in languages other than English, and suffers from a heavy under-representation of many countries. We especially call for contributions that broaden this scope in terms of languages and/or geographical regions.
We suggest the following topics:

Big data analytics in communication research
Supervised and unsupervised machine learning approaches in communication research
The application of text analytics, text mining, sentiment analysis and topic modeling to media contents, social media posts or other types of relevant texts in communication research
Online experiments, simulation and agent-based modeling applied to media and communication research
Social network analysis and semantic network analysis
Digital traces, visualization and data journalism studies
Other topics not included in the above list might also be considered. We specially encourage authors working in/about the Global South to send proposals. Papers might also include/refer to code or technical platforms in order to replicate their methods. All works must comply with the style standards published in the manual of the American Psychological Association (APA) (6th edition). Please, review the "Author Guidelines" of the journal. This journal does not charge authors for publication.