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Surprising Media Bias in Election Coverage: How Issue Ownership Skews Negativity

Insights from the Field
Campaign Negativity
Austria Election
Issue Ownership Bias
GERGM Analysis
Voting and Elections
PSR&M
2 R files
10 PDF files
1 text files
3 datasets
1 other files
Dataverse
Disproportionality in Media Representations of Campaign Negativity was authored by Dominic Nyhuis, Hyunjin Song and Hajo Boomgaarden. It was published by Cambridge in PSR&M in 2021.

Campaign negativity is common in multi-party elections. This study examines Austrian media coverage during the 2013 national election.

Data & Methods:

Analyzed news content using Generalized Exponential Random Graph Models (GERGM). Controlled for non-mediated negativity.

Key Findings:

Media disproportionately cover attacks from and against issue owners. This pattern holds across different policy domains.

Why It Matters?

This suggests media representations often violate the normative ideal of fair coverage in multi-party systems. The findings highlight a systematic bias that could influence public perception.

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Political Science Research & Methods
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