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Gain-Loss Message Framing Analysis×Framing Analysis×
תחוםCommunicationCommunication
משפחהProcess / pipelineProcess / pipeline
שנת המקור19971993
הוגה השיטהRothman & Salovey (health framing synthesis); roots in Kahneman & TverskyRobert M. Entman (synthesis); roots in Goffman, Tuchman, Gitlin
סוגExperiment comparing gain- versus loss-framed persuasive messagesInterpretive-quantitative analysis of how messages select and emphasize aspects of reality
מקור מכונןRothman, A. J., & Salovey, P. (1997). Shaping perceptions to motivate healthy behavior: The role of message framing. Psychological Bulletin, 121(1), 3–19. DOI ↗Entman, R. M. (1993). Framing: Toward clarification of a fractured paradigm. Journal of Communication, 43(4), 51–58. DOI ↗
כינוייםMessage framing analysis, Gain-loss framing study, Valence framing experiment, Kazanç-Kayıp Mesaj Çerçeveleme AnaliziFrame analysis, Media framing analysis method, Frame mapping, Çerçeveleme Analizi
קשורות45
תקצירGain-loss message framing analysis is an experimental method for testing whether a persuasive appeal works better when it stresses the benefits of acting (gain frame) or the costs of not acting (loss frame). Grounded in prospect theory and synthesized for health communication by Rothman and Salovey, it predicts that loss frames are more persuasive for risky detection behaviors while gain frames win for safe prevention behaviors.Framing analysis is a communication research method for studying how messages select certain aspects of a perceived reality and make them more salient — promoting a particular problem definition, causal interpretation, moral evaluation, and treatment recommendation. Building on Robert Entman's influential 1993 synthesis, it moves beyond counting what is present to reconstructing the organizing ideas, or frames, that give media coverage its meaning and persuasive shape.
ScholarGateמערך נתונים
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  3. PUBLISHED

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ScholarGateהשוואת שיטות: Gain-Loss Message Framing Analysis · Framing Analysis. אוחזר בתאריך 2026-06-24 מתוך https://scholargate.app/he/compare