Big Data in communication research: social telescope or teleidoscope?

2017 ◽  
Vol 9 (3) ◽  
pp. 325-327
Author(s):  
Marina Shilina
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).


2014 ◽  
Vol 28 (4) ◽  
pp. 625-649 ◽  
Author(s):  
Ryan S. Bisel ◽  
J. Kevin Barge ◽  
Debbie S. Dougherty ◽  
Kristen Lucas ◽  
Sarah J. Tracy

Author(s):  
Imam Syafganti

The digitization of communications technology has led to an intense interaction between human and digital-based technology. A large number of digital data traces produced by humans as a result of that activity. Such data is commonly referred to Big Data. The availability of Big Data as a digital data source in turn, opens opportunities for communication scientists to be able to use that data to get the patterns and trends of human activities that have been done through social research. It is necessary to understand the basic concept of the Big Data, using appropriate tools and adequate access to the data, and appropriate research method in order to be able to conduct research by using such digital data. This paper aims to describe the potential of Big Data for the purposes of communication research, the use of appropriate tools, techniques and methods and to identify potential research directions in the digital realm. Some limitations and critical issues related to the research validity, population and sample, as well as ethics in digital media research method were also discussed.


2016 ◽  
Vol 35 (1) ◽  
pp. 3-9 ◽  
Author(s):  
Homero Gil de Zúñiga ◽  
Trevor Diehl

This special issue of the Social Science Computer Review provides a sample of the latest strategies employing large data sets in social media and political communication research. The proliferation of information communication technologies, social media, and the Internet, alongside the ubiquity of high-performance computing and storage technologies, has ushered in the era of computational social science. However, in no way does the use of “big data” represent a standardized area of inquiry in any field. This article briefly summarizes pressing issues when employing big data for political communication research. Major challenges remain to ensure the validity and generalizability of findings. Strong theoretical arguments are still a central part of conducting meaningful research. In addition, ethical practices concerning how data are collected remain an area of open discussion. The article surveys studies that offer unique and creative ways to combine methods and introduce new tools while at the same time address some solutions to ethical questions.


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