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).
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.
Deadline for submissions: June 30, 2020.
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