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Cited by 394

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

News Frames, Political Cynicism, and Media Cynicism

CAPPELLA, JOSEPH N., JAMIESON, KATHLEEN HALL·1996·The ANNALS of the American Academy of Political and Social Science

Abstract

Public confidence in Congress, the government, and social institutions has reached new lows. Healthy skepticism may have given way to corrosive cynicism. Some media watchers and critics blame the media for their preoccupation with the game and strategy of politics rather than social problems and their solution. Others deny that changes in news have affected the quality of democracy or the depth of political alienation. Studies that we have conducted over the past four years show that subtle changes in the way news stories are framed can affect consumers' responses, activating their cynicism when strategic or conflict-oriented frames are used. The studies directly implicate media framing of political news in activating, if not creating, cynicism about campaigns, policy, and governance and imply that cynicism about the news media may be an indirect consequence.

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Metadata

Authors
CAPPELLA, J. N., & JAMIESON, K. H.
Venue
The ANNALS of the American Academy of Political and Social Science
Published
1996-07
Volume
546
Issue
1
Pages
71-84
ISSN
  • 0002-7162 (ISSN-L)
  • 1552-3349
OpenAlex
W2143275335
Cited by
394
References
1
FWCI
33.02
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: News Frames, Political Cynicism, and Media Cynicism. https://app.cochat.ai/papers/10.1177/0002716296546001007
The paper
CAPPELLA, J. N., & JAMIESON, K. H. (1996). News Frames, Political Cynicism, and Media Cynicism. The ANNALS of the American Academy of Political and Social Science. https://doi.org/10.1177/0002716296546001007

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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.