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Computational Methods and Big Data in Communication Research
* Call for papers nº47, Computational Methods and Big Data
in Communication Research*
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Dear researchers:

We are announcing the call for papers for the next issue of
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(indexed in SCOPUS, ESCI and SciELO Citation Index, among others), which
will be published in December 2020 and will include a thematic section
on *Computational
methods and Big Data in communication research*. The final deadline for
receiving manuscripts is *June 30, 2020*. Professors *Carlos Arcila
Calderón* (University of Salamanca), *Wouter Van Atteveldt* (VU University
Amsterdam) and* Damian Trilling* (University of Amsterdam) are this issue’s
guest editors.

We invite researchers and academics to go to  to access
all the details about this Call for papers (also included at the end of
this mail) and to read our last issue, No. 45, published last December,
which showcases 14 works by leading authors.

Best regards,
Sebastián Valenzuela, Editor in Chief ([log in to unmask]) Daniela Grassau,
Managing Editor ([log in to unmask]) Cuadernos.Info School of
Communications Pontificia
Universidad Católica de Chile +56 2 2354 2949   *CALL FOR PAPERS:
Computational Methods and Big Data in Communication Research*

*Deadline for submissions:* June 30, 2020

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 a 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

- 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 "Rules for authors" of the journal.

*Copyright © Facultad de Comunicaciones UC, All rights reserved.*

*Our mailing address is:*
Facultad de Comunicaciones UC
Alameda 340
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