ScholarGate
助手

方法对比

并排查看您选择的方法;存在差异的行会高亮显示。

Gain-Loss Message Framing Analysis×Media Priming Experiment×
领域CommunicationCommunication
方法族Process / pipelineProcess / pipeline
起源年份19971987
提出者Rothman & Salovey (health framing synthesis); roots in Kahneman & TverskyShanto Iyengar & Donald Kinder
类型Experiment comparing gain- versus loss-framed persuasive messagesExperiment testing how media attention changes the standards used to evaluate
开创性文献Rothman, A. J., & Salovey, P. (1997). Shaping perceptions to motivate healthy behavior: The role of message framing. Psychological Bulletin, 121(1), 3–19. DOI ↗Iyengar, S., & Kinder, D. R. (1987). News That Matters: Television and American Opinion. Chicago: University of Chicago Press. ISBN: 9780226388571
别名Message framing analysis, Gain-loss framing study, Valence framing experiment, Kazanç-Kayıp Mesaj Çerçeveleme AnaliziPriming analysis, News priming experiment, Agenda priming study, Medya Hazırlama Deneyi
相关44
摘要Gain-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.Media priming is the process by which news attention to some issues, and not others, changes the standards people use to evaluate leaders, policies, or events. Demonstrated experimentally by Iyengar and Kinder in News That Matters, the priming experiment manipulates which issues the news emphasizes and tests whether those issues subsequently weigh more heavily in audiences' judgments — the natural extension of agenda setting from importance to evaluation.
ScholarGate数据集
  1. v1
  2. 2 来源
  3. PUBLISHED
  1. v1
  2. 2 来源
  3. PUBLISHED

前往搜索 下载幻灯片

ScholarGate方法对比: Gain-Loss Message Framing Analysis · Media Priming Experiment. 于 2026-06-24 检索自 https://scholargate.app/zh/compare