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Cited by 280

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Television Dramas and Support for Controversial Public Policies: Effects and Mechanisms

Slater, Michael D., Rouner, Donna, Long, Marilee·2006·Journal of Communication

Abstract

In this experiment, we examine effects of television dramas on support for controversial public policies (gay marriage and the death penalty) and explore mechanisms that may explain such effects. The dramas influenced support for death penalty but not gay marriage. As predicted, exposure to the relevant drama eliminated the relationship between prior ideology (conceptualized as a continuous variable) and death penalty support. Moreover, the valence of the relationship between prior (increasingly liberal) ideology and salience of a relevant value (perceived importance of a safe and crime-free society) went from negative in the comparison condition to positive after exposure to the relevant drama. These and other results suggest that a television narrative can influence policy support by reframing the dramatic situation to reduce the effect of prior ideology and values and by minimizing processing of the story as intentionally persuasive discourse.

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Metadata

Authors
Slater, M. D., Rouner, D., & Long, M.
Venue
Journal of Communication
Published
2006-04-26
Volume
56
Issue
2
Pages
235-252
ISSN
  • 0021-9916 (ISSN-L)
  • 1460-2466
OpenAlex
W2095876574
Cited by
280
References
1
FWCI
144.83
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Television Dramas and Support for Controversial Public Policies: Effects and Mechanisms. https://app.cochat.ai/papers/10.1111/j.1460-2466.2006.00017.x
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Slater, M. D., Rouner, D., & Long, M. (2006). Television Dramas and Support for Controversial Public Policies: Effects and Mechanisms. Journal of Communication. https://doi.org/10.1111/j.1460-2466.2006.00017.x

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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.