The Agenda-Setting Function of Mass Media
Abstract
In choosing and displaying news, editors, newsroom staff, and broadcasters play an important part in shaping political reality. Readers learn not only about a given issue, but also how much importance to attach to that issue from the amount of information in a news story and its position. In reflecting what candidates are saying during a campaign, the mass media may well determine the important issues—that is, the media may set the “agenda” of the campaign.
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The results of Iyengar and Kinder validated the classic agenda-setting model, confirming that traditional media had a high capacity to define the importance assigned to issues and to influence voters' criteria for judging political leaders.
“Los resultados de Iyengar y Kinder validaban el modelo clásico de establecimiento de agenda propuesto por McCombs y Shaw (1972), confirmando que los medios tradicionales tenían una alta capacidad para definir el grado de importancia asignado a los temas mediante la relevancia noticiosa y, así, influir en los criterios usados por los votantes para juzgar líderes políticos.”
From #Tarifazo. Medios tradicionales y fusión de agenda en redes sociales (2018) · cites this paper as McCombs & Shaw, 1972
Cites
Framing: toward clarification of a fractured paradigm
Entman, R. M. (1993) · Journal of Communication · doi:10.1111/j.1460-2466.1993.tb01304.x · Cited by 16,203 · see citing works
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Tried and tested: The impact of online hotel reviews on consumer consideration
Vermeulen, I. E., & Seegers, D. (2009) · Tourism Management · doi:10.1016/j.tourman.2008.04.008 · Cited by 1,311 · see citing works
Good News and Bad News: Asymmetric Responses to Economic Information
Soroka, S. N. (2006) · The Journal of Politics · doi:10.1111/j.1468-2508.2006.00413.x · Cited by 850 · see citing works
Unpacking black boxes: mechanisms and theory building in evaluation
Astbury, B., & Leeuw, F. L. (2010) · American Journal of Evaluation · doi:10.1177/1098214010371972 · Cited by 850 · see citing works
Uniting the Tribes: Using Text for Marketing Insight
Berger, J., Humphreys, A., Ludwig, S., Moe, W. W., Netzer, O., & Schweidel, D. A. (2020) · Journal of Marketing · doi:10.1177/0022242919873106 · Cited by 742 · see citing works
The End of Framing as we Know it … and the Future of Media Effects
Cacciatore, M. A., Scheufele, D. A., & Iyengar, S. (2016) · Mass Communication and Society · doi:10.1080/15205436.2015.1068811 · Cited by 704 · see citing works
Science vs Conspiracy: Collective Narratives in the Age of Misinformation
Bessi, A., Coletto, M., Davidescu, G. A., Scala, A., Caldarelli, G., & Quattrociocchi, W. (2015) · PLOS ONE · doi:10.1371/journal.pone.0118093 · Cited by 645 · see citing works
Media effects: theory and research
Valkenburg, P. M., Peter, J., & Walther, J. B. (2016) · Annual Review of Psychology · doi:10.1146/annurev-psych-122414-033608 · Cited by 536 · see citing works
Evaluating the fake news problem at the scale of the information ecosystem
Allen, J., Howland, B., Mobius, M., Rothschild, D., & Watts, D. J. (2020) · Science Advances · doi:10.1126/sciadv.aay3539 · Cited by 528 · see citing works
The Effect of Newspaper Entry and Exit on Electoral Politics
Gentzkow, M., Shapiro, J. M., & Sinkinson, M. (2011) · American Economic Review · doi:10.1257/aer.101.7.2980 · Cited by 497 · see citing works
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Budak, C., Goel, S., & Rao, J. M. (2016) · Public Opinion Quarterly · doi:10.1093/poq/nfw007 · Cited by 336 · see citing works
Big data in the policy cycle: Policy decision making in the digital era
Höchtl, J., Parycek, P., & Schöllhammer, R. (2016) · Journal of Organizational Computing and Electronic Commerce · doi:10.1080/10919392.2015.1125187 · Cited by 331 · see citing works
How the news media activate public expression and influence national agendas
King, G., Schneer, B., & White, A. (2017) · Science · doi:10.1126/science.aao1100 · Cited by 333 · see citing works
How terrorism news reports increase prejudice against outgroups: A terror management account
Das, E., Bushman, B. J., Bezemer, M. D., Kerkhof, P., & Vermeulen, I. E. (2009) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2008.12.001 · Cited by 315 · see citing works
MICHELITCH, K. (2015) · American Political Science Review · doi:10.1017/s0003055414000628 · Cited by 186 · see citing works
The emergence of consensus: a primer
Baronchelli, A. (2018) · Royal Society Open Science · doi:10.1098/rsos.172189 · Cited by 161 · see citing works
Resilience to Online Censorship
Roberts, M. E. (2020) · Annual Review of Political Science · doi:10.1146/annurev-polisci-050718-032837 · Cited by 131 · see citing works
Dada, S., Ashworth, H. C., Bewa, M. J., & Dhatt, R. (2021) · BMJ Global Health · doi:10.1136/bmjgh-2020-003910 · Cited by 139 · see citing works
From Taken‐for‐Granted to Explicit Commitment: The Rise of<scp>CSR</scp>in a Corporatist Country
Höllerer, M. A. (2013) · Journal of Management Studies · doi:10.1111/joms.12029 · Cited by 97 · see citing works
A Battle against the Bottles: Building, Claiming, and Regaining Tap-Water Trustworthiness
Parag, Y., & Roberts, J. T. (2009) · Society & Natural Resources · doi:10.1080/08941920802017248 · Cited by 84 · see citing works
Clark, D., Nagler, R. H., & Niederdeppe, J. (2019) · Public Health Nutrition · doi:10.1017/s1368980019002866 · Cited by 76 · see citing works
Social Media and the Changing Information Environment
Kraft, P. W., Krupnikov, Y., Milita, K., Ryan, J. B., & Soroka, S. (2020) · Public Opinion Quarterly · doi:10.1093/poq/nfaa015 · Cited by 46 · see citing works
Trust in online news: comparing social media and official media use by chinese citizens
Wang, Y., & Mark, G. (2013) · Proceedings of the 2013 conference on Computer supported cooperative work · doi:10.1145/2441776.2441843 · Cited by 44 · see citing works
We Tried to Tell Y'All: Black Twitter and the Rise of Digital Counternarratives
Clark, M. D. (2025) · Oxford University Press · doi:10.1093/oso/9780190068141.001.0001 · Cited by 26 · see citing works
#Tarifazo. Medios tradicionales y fusión de agenda en redes sociales
Calvo, E., & Aruguete, N. (2018) · InMediaciones de la Comunicación · doi:10.18861/ic.2018.13.1.2831 · Cited by 25 · see citing works
Identification of affective valence of Twitter generated sentiments during the COVID-19 outbreak
Mittal, R., Mittal, A., & Aggarwal, I. (2021) · Social Network Analysis and Mining · doi:10.1007/s13278-021-00828-x · Cited by 23 · see citing works
Painting all foreigners with one brush? How the salience of muslims and refugees shapes judgements
Wallrich, L., West, K., & Rutland, A. (2020) · Journal of Social and Political Psychology · doi:10.5964/jspp.v8i1.1283 · Cited by 22 · see citing works
Viewing the Magazine Form Through the Lens of Classic Media Theories
Weiss, D., & Sternadori, M. (2020) · The Handbook of Magazine Studies · doi:10.1002/9781119168102.ch4 · Cited by 6 · see citing works
Lu, T. (2024) · Mobilization: An International Quarterly · doi:10.17813/1086-671x-29-1-19 · Cited by 3 · see citing works
Görgen, A., & Saygıner, C. (2025) · Güvenlik Stratejileri Dergisi · doi:10.17752/guvenlikstrtj.1706990 · Cited by 1 · see citing works
We Wish to Tweet Our Own Cause—Theorizing Black Twitter
Clark, M. D. (2025) · We Tried to Tell Y'All · doi:10.1093/oso/9780190068141.003.0002
Polarización política y afectiva en España: una revisión sistemática exploratoria
Durá Martínez de la Peña, J., & López-Borrull, A. (2026) · Estudios sobre el Mensaje Periodístico · doi:10.5209/esmp.105980
- Authors
- McCombs, M. E., & Shaw, D. L.
- Affiliations
- University of North Carolina at Chapel Hill (US)
- ORCID
- McCombs, Maxwell E.
- Venue
- Public Opinion Quarterly
- Publisher
- Oxford University Press (OUP)
- Published
- 1972
- Volume
- 36
- Issue
- 2
- Pages
- 176
- ISSN
- 0033-362X (ISSN-L)
- OpenAlex
- W2150957645
- Cited by
- 9,537
- References
- 1
- Citations by year
- 2026: 611 · 2025: 632 · 2024: 546 · 2023: 541 · 2022: 532 · 2021: 537 · 2020: 548 · 2019: 526 · 2018: 464 · 2017: 408 · 2016: 418 · 2015: 414 · 2014: 404 · 2013: 392 · 2012: 316
- FWCI
- 107.90
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Public Opinion Quarterly (publishedVersion)
- Topics
- Social Sciences › Communication › Media Studies and Communication
- Social Sciences › Sociology and Political Science › Media Influence and Politics
- Social Sciences › Communication › Journalism and Media Studies
- Keywords
- agenda setting, mass media, news selection, newsroom practices, political campaigns, issue salience
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