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Cited by 265

The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.

Estimating the Causal Effects of Media Coverage on Policy‐Specific Knowledge

Barabas, Jason, Jerit, Jennifer·2009·American Journal of Political Science

Abstract

Policy facts are among the most relevant forms of knowledge in a democracy. Although the mass media seem like an obvious source of policy‐specific information, past research in this area has been plagued by design and methodological problems that have hindered causal inferences. Moreover, few studies include measures of media content, preventing researchers from being able to say what it is about media coverage that influences learning. We advance the literature by employing a simple but underutilized approach for estimating the causal effects of news coverage. Drawing upon a unique collection of cross‐sectional survey data, we make within‐survey/within‐subjects comparisons under conditions of high and low media coverage. We show how the volume, breadth, and prominence of news media coverage increase policy‐specific knowledge above and beyond common demographic factors.

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Crossref · 10.1111/j.1540-5907.2008.00358.x

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Metadata

Authors
Barabas, J., & Jerit, J.
Venue
American Journal of Political Science
Publisher
Wiley
Published
2008-12-24
Volume
53
Issue
1
Pages
73-89
ISSN
  • 0092-5853 (ISSN-L)
  • 1540-5907
OpenAlex
W2146928640
Cited by
265
References
64
FWCI
38.33
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Estimating the Causal Effects of Media Coverage on Policy‐Specific Knowledge. https://app.cochat.ai/papers/10.1111/j.1540-5907.2008.00358.x
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Barabas, J., & Jerit, J. (2009). Estimating the Causal Effects of Media Coverage on Policy‐Specific Knowledge. American Journal of Political Science. https://doi.org/10.1111/j.1540-5907.2008.00358.x

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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.