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How Elections Change the Way Citizens View the Political System: Campaigns, Media Effects and Electoral Outcomes in Comparative Perspective

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BANDUCCI, SUSAN A., KARP, JEFFREY A.·2003·British Journal of Political Science

Abstract

Attitudes towards the political system have often been assumed to be stable attributes that are not easily influenced by short-term forces. We examine the extent to which attention to media coverage, campaign activity and electoral outcomes can mobilize support for the political system in the context of an election campaign. Using pre-election and post-election survey panels from the United States, Britain and New Zealand, we find only small shifts in aggregate measures of system support. However, we find that there are significant shifts in system support at the individual level that can be explained by status as election winners, attention to the media, particularly serious news coverage and economic perceptions. The results have implications for the debate over measures of system support such as trust, cynicism and efficacy.

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Metadata

Authors
BANDUCCI, S. A., & KARP, J. A.
Venue
British Journal of Political Science
Published
2003-07
Volume
33
Issue
3
Pages
443-467
ISSN
  • 0007-1234 (ISSN-L)
  • 1469-2112
OpenAlex
W2086757026
Cited by
235
References
0
FWCI
50.00
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: How Elections Change the Way Citizens View the Political System: Campaigns, Media Effects and Electoral Outcomes in Comparative Perspective. https://app.cochat.ai/papers/10.1017/s000712340300019x
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BANDUCCI, S. A., & KARP, J. A. (2003). How Elections Change the Way Citizens View the Political System: Campaigns, Media Effects and Electoral Outcomes in Comparative Perspective. British Journal of Political Science. https://doi.org/10.1017/s000712340300019x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.