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Exploring News Content Complexity Using Network Analysis

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Abstract:

In this paper we explore how network analysis can be used to analyze the complexity of media coverage. By conceptualizing political coverage as a symbolic network representing a public sphere, we are able to adapt three useful indicators from network analysis to compare and evaluate the complexity of political news in different media outlets. Network density enables us to judge the general interconnectedness of the depicted debate, network centralization allows us to look at the focus on specific actors or issues, and network heterogeneity reflects the diversity within these actor and issue networks. Following a theoretical and methodological discussion of the applicability of these three indicators for evaluating news complexity, we demonstrate their usefulness in a case study comparing the political news coverage of tabloid and elite newspapers during a national election campaign.

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Name: International Communication Association 65th Annual Conference
URL:
http://www.icahdq.org


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URL: http://citation.allacademic.com/meta/p981976_index.html
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MLA Citation:

Jacobi, Carina., Eberl, Jakob-Moritz., Schlögl, Stephan. and Kleinen-von Knigslw, Katharina. "Exploring News Content Complexity Using Network Analysis" Paper presented at the annual meeting of the International Communication Association 65th Annual Conference, Caribe Hilton, San Juan, Puerto Rico, May 21, 2015 <Not Available>. 2018-02-13 <http://citation.allacademic.com/meta/p981976_index.html>

APA Citation:

Jacobi, C. , Eberl, J. , Schlögl, S. and Kleinen-von Knigslw, K. , 2015-05-21 "Exploring News Content Complexity Using Network Analysis" Paper presented at the annual meeting of the International Communication Association 65th Annual Conference, Caribe Hilton, San Juan, Puerto Rico Online <APPLICATION/PDF>. 2018-02-13 from http://citation.allacademic.com/meta/p981976_index.html

Publication Type: Conference Paper/Unpublished Manuscript
Review Method: Peer Reviewed
Abstract: In this paper we explore how network analysis can be used to analyze the complexity of media coverage. By conceptualizing political coverage as a symbolic network representing a public sphere, we are able to adapt three useful indicators from network analysis to compare and evaluate the complexity of political news in different media outlets. Network density enables us to judge the general interconnectedness of the depicted debate, network centralization allows us to look at the focus on specific actors or issues, and network heterogeneity reflects the diversity within these actor and issue networks. Following a theoretical and methodological discussion of the applicability of these three indicators for evaluating news complexity, we demonstrate their usefulness in a case study comparing the political news coverage of tabloid and elite newspapers during a national election campaign.


 
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