The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Campaign Issue Knowledge and Salience: Comparing Reception from TV Commercials, TV News and Newspapers
Abstract
Craig Leonard Brians, Martin P. Wattenberg, Campaign Issue Knowledge and Salience: Comparing Reception from TV Commercials, TV News and Newspapers, American Journal of Political Science, Vol. 40, No. 1 (Feb., 1996), pp. 172-193
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Citations
Cites
Coefficient Alpha and the Internal Structure of Tests
Cronbach, L. J. (1951) · Psychometrika · doi:10.1007/bf02310555 · Cited by 43,931
Cited by
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Lau, R. R., Sigelman, L., & Rovner, I. B. (2007) · The Journal of Politics · doi:10.1111/j.1468-2508.2007.00618.x · Cited by 656
Gerber, A. S., Karlan, D., & Bergan, D. (2009) · American Economic Journal: Applied Economics · doi:10.1257/app.1.2.35 · Cited by 577
Political News in the News Feed: Learning Politics from Social Media
Bode, L. (2016) · Mass Communication and Society · doi:10.1080/15205436.2015.1045149 · Cited by 545
News, Politics, and Negativity
Soroka, S., & McAdams, S. (2015) · Political Communication · doi:10.1080/10584609.2014.881942 · Cited by 420
Kahn, K. F., & Kenney, P. J. (1999) · American Political Science Review · doi:10.2307/2586118 · Cited by 384
Metadata
- Authors
- Brians, C. L., & Wattenberg, M. P.
- Venue
- American Journal of Political Science
- Publisher
- JSTOR
- Published
- 1996-02
- Volume
- 40
- Issue
- 1
- Pages
- 172
- ISSN
- 0092-5853 (ISSN-L)
- OpenAlex
- W2314848119
- Cited by
- 337
- References
- 1
- FWCI
- 23.67
- Type
- journal article
- Language
- en
- Open access
- closed
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- Brians, C. L., & Wattenberg, M. P. (1996). Campaign Issue Knowledge and Salience: Comparing Reception from TV Commercials, TV News and Newspapers. American Journal of Political Science. https://doi.org/10.2307/2111699
Data sources
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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.
