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When Does the Public's Issue Agenda Affect the Media's Issue Agenda (and Vice‐Versa)? Developing a Framework for Media‐Public Influence

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  • Joseph E. Uscinski

Abstract

Objective. The agenda‐setting literature has demonstrated the media's ability to set the issue agenda for the public. One byproduct of this work is that researchers have produced some evidence suggesting that the audience will, on occasion, set the issue agenda for the media. Given disparate sets of findings, researchers do not have a framework to better understand on which issues the media will set the agenda for the public and on which issues the public will set the agenda for the media. It is the goal of this article to provide empirical support for a framework suggesting that the events comprising issue areas predetermine the direction of influence between the media's and the public's issue agendas. Methods. I construct a historical data set comprised of 35,000 stories from the nightly network news and responses to Gallup's Most Important Problem question. I look for evidence of causal influence between news issue content and public issue concerns using Granger analysis and vector autoregression. Results. Issue areas comprised of spectacular events, such as defense, will be reported by the media and subsequently affect the salience the audience assigns to those issues. In issues not normally comprised of spectacular and singular events, such as energy and environment, public issue concerns appear to drive issue coverage in the news. Issues such as transportation and education, which comprise few spectacular events and little public concern, will receive sparse coverage in the media. Conclusion. The findings provide support for a framework based on events; the types of events that typically comprise issue areas will affect the likelihood of those issues coming on the news agenda. This then affects the direction of influence between the public and the media. The framework supported here allows for the integration of the media effects and media content literatures. This has implications for understanding how the news agenda is constructed and how the commercial media meets democratic ideals.

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  • Joseph E. Uscinski, 2009. "When Does the Public's Issue Agenda Affect the Media's Issue Agenda (and Vice‐Versa)? Developing a Framework for Media‐Public Influence," Social Science Quarterly, Southwestern Social Science Association, vol. 90(4), pages 796-815, December.
    • Handle: RePEc:bla:socsci:v:90:y:2009:i:4:p:796-815
    DOI: 10.1111/j.1540-6237.2009.00663.x
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    References listed on IDEAS

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    1. Baum, Matthew A. & Kernell, Samuel, 1999. "Has Cable Ended the Golden Age of Presidential Television?," American Political Science Review, Cambridge University Press, vol. 93(1), pages 99-114, March.
    2. Iyengar, Shanto & Peters, Mark D. & Kinder, Donald R., 1982. "Experimental Demonstrations of the “Not-So-Minimal” Consequences of Television News Programs," American Political Science Review, Cambridge University Press, vol. 76(4), pages 848-858, December.
    3. Puglisi Riccardo, 2011. "Being The New York Times: the Political Behaviour of a Newspaper," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(1), pages 1-34, April.
    4. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    5. Edwards, George C. & Wood, B. Dan, 1999. "Who Influences Whom? The President, Congress, and the Media," American Political Science Review, Cambridge University Press, vol. 93(2), pages 327-344, June.
    6. Sims, Christopher A, 1972. "Money, Income, and Causality," American Economic Review, American Economic Association, vol. 62(4), pages 540-552, September.
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    1. Maria Besiou & Mark Hunter & Luk Wassenhove, 2013. "A Web of Watchdogs: Stakeholder Media Networks and Agenda-Setting in Response to Corporate Initiatives," Journal of Business Ethics, Springer, vol. 118(4), pages 709-729, December.
    2. Balbinder Singh Gill, 2024. "Natural disasters, public attention and changes in capital structure: international evidence," Annals of Finance, Springer, vol. 20(2), pages 199-238, June.
    3. David Eduardo Cavazos & Matthew A. Rutherford, 2017. "Applying firm attention theory to assess the antecedents of firm participation in regulatory processes," Review of Managerial Science, Springer, vol. 11(2), pages 395-410, March.

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