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Network Agenda-Setting×Manifest Content Analysis×
ОбластьCommunicationCommunication
СемействоProcess / pipelineProcess / pipeline
Год появления20111952
Автор методаLei Guo & Maxwell McCombsBernard Berelson; codified by Klaus Krippendorff
ТипNetwork-analytic extension of agenda-setting theorySystematic quantitative coding of explicit message content
Основополагающий источникGuo, L. (2012). The application of social network analysis in agenda-setting research: A methodological exploration. Journal of Broadcasting & Electronic Media, 56(4), 616–631. DOI ↗Krippendorff, K. (2004). Content Analysis: An Introduction to Its Methodology (2nd ed.). Thousand Oaks, CA: Sage. ISBN: 9780761915454
Другие названияNetwork agenda setting model, Third-level agenda setting, NAS model, Ağ Gündem BelirlemeQuantitative manifest coding, Surface-content analysis, Manifest-level content analysis, Berelson content analysis
Связанные45
СводкаNetwork agenda-setting (NAS), also called third-level agenda setting, extends classic agenda-setting theory by proposing that news media transfer to the public not only the salience of issues (first level) and of attributes (second level), but the very web of associations among issues and attributes. Introduced by Lei Guo and Maxwell McCombs, the method represents the media agenda and the public agenda as networks and tests whether the media's bundling of elements is reproduced in the public's mind.Manifest content analysis is a quantitative research technique that systematically counts the explicit, surface-level features of communication messages — words, sources, themes, images, or actors that are directly visible in the text or media artifact — according to a predefined coding scheme. Rooted in Bernard Berelson's classic definition of content analysis as the 'objective, systematic, and quantitative description of the manifest content of communication,' it is one of the foundational empirical methods of mass communication and media research.
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ScholarGateСравнение методов: Network Agenda-Setting · Manifest Content Analysis. Получено 2026-06-25 из https://scholargate.app/ru/compare