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Disproportionality in media representations of campaign negativity

Published online by Cambridge University Press:  10 February 2020

Dominic Nyhuis*
Affiliation:
Department of Political Science, Leibniz University Hannover, Hannover, Germany
Hyunjin Song
Affiliation:
Department of Communication, University of Vienna, Wien, Austria
Hajo Boomgaarden
Affiliation:
Department of Communication, University of Vienna, Wien, Austria
*
*Corresponding author. E-mail: d.nyhuis@ipw.uni-hannover.de
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Abstract

We explore mediated representations of parties' campaign interactions in multi-party systems. Actors in multi-party systems can engage with different actors on multiple issues. One crucial aspect of such engagement is the element of negativity—voicing criticisms of other actors' actions and policy proposals. This contribution argues that the media systematically exaggerate patterns of negativity based on issue ownership structures, such that attacks originating from or targeting issue owners are significantly more likely to be covered. We analyze a broad sample of news content from the 2013 Austrian national election campaign with generalized exponential random graph models to capture the complexities of mediated campaign negativity in a multi-party system while controlling for non-mediated campaign negativity. The results show that issue owners are more likely to be featured as attackers and targets in owned policy domains, suggesting a violation of the normative ideal of a fair representation of campaign interactions.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
Copyright © The European Political Science Association 2020
Figure 0

Table 1. Generalized ERGMs of campaign attacks

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Nyhuis et al. Dataset

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Nyhuis et al. supplementary material

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