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Second-Level Agenda Setting×Analiza ustalania agendy×
DziedzinaCommunicationMedioznawstwo
RodzinaProcess / pipelineProcess / pipeline
Rok powstania19811972
TwórcaMaxwell McCombs and colleagues (Weaver et al.)Maxwell McCombs, Donald Shaw
TypAnalysis of the transfer of attribute salience from media to publicEmpirical method for studying how media coverage affects issue salience and public concern
Źródło pierwotneMcCombs, M. E., & Shaw, D. L. (1972). The agenda-setting function of mass media. Public Opinion Quarterly, 36(2), 176–187. DOI ↗McCombs, M. E., & Shaw, D. L. (1972). The agenda-setting function of mass media. Public Opinion Quarterly, 36(2), 176-187. DOI ↗
Inne nazwyAttribute agenda setting, Second-level agenda-setting analysis, Attribute salience transfer, İkinci Düzey Gündem Belirlemeagenda-setting theory, media agenda analysis, issue salience
Pokrewne45
PodsumowanieSecond-level (attribute) agenda setting extends classic agenda-setting theory from the salience of objects — which issues or people the public thinks about — to the salience of their attributes — which characteristics the public associates with them. The method codes the attributes media emphasize when covering an object and correlates that attribute agenda with the attributes salient in public perceptions.Agenda-Setting Analysis is an empirical method for investigating the influence of media coverage on what issues the public considers important. Developed by Maxwell McCombs and Donald Shaw (1972), the approach tests a core hypothesis about media effects: media coverage does not tell people what to think, but rather what to think about. By comparing the issues receiving media coverage with the issues the public identifies as important, researchers measure agenda-setting effects—the degree to which media attention predicts public concern. The method demonstrates media's power to structure the hierarchy of issues, even when media may not directly persuade on specific issues.
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ScholarGatePorównaj metody: Second-Level Agenda Setting · Agenda-Setting Analysis. Pobrano 2026-06-24 z https://scholargate.app/pl/compare