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Cited by 269

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

Mass Media and the Depoliticization of Personal Experience

Mutz, Diana C.·1992·American Journal of Political Science

Abstract

This study combines contemporary research on the effects of mass communication with findings on voting to build a general model that explains the origins and effects of economic perceptions. This model is then tested in the context of retrospective personal and social concerns about unemployment. Survey evidence suggests that retrospective assessments of unemployment result primarily from mediated information rather than from direct experiences. Mass media are found to have an impersonal impact, influencing social, but not personal perceptions of the issue, while personal experiences with unemployment influence exclusively personal-level judgments. Mass media also influence the weighting of pocketbook as opposed to concerns by means of a sociotropic priming effect. Rather than priming all considerations that surround economic issues, high levels of media exposure to economic news prime the importance of collective perceptions to political evaluations and decrease the importance of personal concerns.

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Metadata

Authors
Mutz, D. C.
Venue
American Journal of Political Science
Publisher
JSTOR
Published
1992-05
Volume
36
Issue
2
Pages
483
ISSN
0092-5853 (ISSN-L)
OpenAlex
W1986239816
Cited by
269
References
23
FWCI
22.67
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Mass Media and the Depoliticization of Personal Experience. https://app.cochat.ai/papers/10.2307/2111487
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Mutz, D. C. (1992). Mass Media and the Depoliticization of Personal Experience. American Journal of Political Science. https://doi.org/10.2307/2111487

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.