Advanced Digital Communication Research.

1985 ◽  
Author(s):  
R. A. Scholtz ◽  
L. M. Silverman
2016 ◽  
Vol 12 (2) ◽  
pp. 30 ◽  
Author(s):  
Diogenes Lycarião ◽  
Rafael Cardoso Sampaio

The agenda-setting theory is one of the powerful study fields in communication research. Nevertheless, it is not a settled theory. Recent studies based on big data indicate seemingly contradictory results. While some findings reinforce McCombs and Shaw’s original model (i.e. the media set the public agenda), others demonstrate great power of social media to set media’s agenda, what is usually described as reverse agenda-setting. This article – based on an interactional model of agenda setting building – indicates how such results are actually consistent with each other. They reveal a complex multidirectional (and to some extent) unpredictable network of interactions that shape the public debate, which is based on different kinds of agenda (thematic or factual) and time lengths (short, medium or long terms).


Author(s):  
Gloria Gómez Diago

As long as communication, especially digital communication, is of interest for consolidated fields such as sociology or political sciences and for fields of more recent creation such as librarianship, the field of communication research functions as an amnesic sub-discipline without disciplinary ambition (Pooley, 2020). In order to contribute to intellectually (re) constructing a field that can be useful to society, we are providing a typology of objectives, theoretical perspectives and methods generated from a distillation of volume 2 of Rethinking Communication (1989), “Paradigm Exemplars”, a volume specialized in meta-research in communication and considered as a continuation of the special volume of the Journal of Communication, "Ferment in the Field", published in 1983 (Surlin, 1991). The conceptual and procedural devices brought and grouped into those aimed at studying relationships between people and those aimed at studying relationships between people and media, are useful in a moment in which human relationships and relationships between people and media continue articulating societies, making necessary to review and redefine the ways of approaching them to further the scope of communication research, limited for decades, fundamentally, to the analysis of media content (Cáceres and Caffarel, 1992; Martínez-Nicolás and Saperas, 2011, 2016; Anderson and Middelton, 2015) through a content analysis that Krippendorff (2017) recommends to leave.


Author(s):  
Dhruv Grewal ◽  
Dennis Herhausen ◽  
Stephan Ludwig ◽  
Francisco Villarroel Ordenes

2021 ◽  
Author(s):  
Maximilian T. Fischer ◽  
Frederik L. Dennig ◽  
Daniel Seebacher ◽  
Daniel A. Keim ◽  
Mennatallah El-Assady

<div>The automated analysis of digital human communication data often focuses on specific aspects like content or network structure in isolation, while classical communication research stresses the importance of a holistic analysis approach. This work aims to formalize digital communication analysis and investigate how classical results can be leveraged as part of visually interactive systems, which offers new analysis opportunities to allow for less biased, skewed, or incomplete results. For this, we construct a conceptual framework and design space based on the existing research landscape, technical considerations, and communication research that describes the properties, capabilities, and composition of such systems through 30 criteria in four analysis dimensions. We make the case how visual analytics principles are uniquely suited for a more holistic approach by tackling the automation complexity and leverage domain knowledge, paving the way to generate design guidelines for building such approaches. Our framework provides a common language and description of communication analysis systems to support existing research, highlights relevant design areas while promoting and supporting the mutual exchange between researchers. Additionally, our framework identifies existing gaps and highlights opportunities in research areas that are worth investigating further. With this contribution, we pave the path for the formalization of digital communication analysis through visual analytics.</div>


2021 ◽  
Author(s):  
Maximilian T. Fischer ◽  
Frederik L. Dennig ◽  
Daniel Seebacher ◽  
Daniel A. Keim ◽  
Mennatallah El-Assady

<div>The automated analysis of digital human communication data often focuses on specific aspects like content or network structure in isolation, while classical communication research stresses the importance of a holistic analysis approach. This work aims to formalize digital communication analysis and investigate how classical results can be leveraged as part of visually interactive systems, which offers new analysis opportunities to allow for less biased, skewed, or incomplete results. For this, we construct a conceptual framework and design space based on the existing research landscape, technical considerations, and communication research that describes the properties, capabilities, and composition of such systems through 30 criteria in four analysis dimensions. We make the case how visual analytics principles are uniquely suited for a more holistic approach by tackling the automation complexity and leverage domain knowledge, paving the way to generate design guidelines for building such approaches. Our framework provides a common language and description of communication analysis systems to support existing research, highlights relevant design areas while promoting and supporting the mutual exchange between researchers. Additionally, our framework identifies existing gaps and highlights opportunities in research areas that are worth investigating further. With this contribution, we pave the path for the formalization of digital communication analysis through visual analytics.</div>


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