[Commlist] Cfp cuadernos: Computational Methods and Big Data in Communication Research

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 Cuadernos.info, 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.

URL: http://cuadernos.info/index.php/CDI/announcement/view/61
email contact: (carcila /at/ usal.es) <mailto:(carcila /at/ usal.es)>

CFP:

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.

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