Doctoral Dissertation Research in DRMS: Explicating Thematic and Structural Frame Components for Effective Communication of Global Climate Change to Lay Audiences

DRMS 博士论文研究：阐明向非专业观众有效传达全球气候变化的主题和结构框架组成部分

• 批准号: 0752876
• 负责人: Bruce Lewenstein
• 金额: $ 1.2万
• 依托单位: Cornell Univ - State: AWDS MADE PRIOR MAY 2010
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-04-01 至 2011-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0752876&HistoricalAwards=false
• 关键词: Doctoral; Dissertation; Research; DRMS; Explicating

A longstanding challenge for the scientific community is how to communicate science tonon-expert audiences. One suggested communication technique is a greater reliance on framing scientific information so that it provides context and resonates with audiences. This project examines how framing affects the communication of a particular scientific issue: the nature and impact of global climate change. Through a series of experiments, the study examines two framing dimensions: the impact of using different types and numbers of examples of people affected by global climate change, and the impact of highlighting different aspects of climate change (such as economics, morality, or averting disaster). Based on previous research, we expect that people will respond more strongly to messages that highlight a single example of a person with whom they can identify. We also expect that the themes will resonate differently with individuals who hold different value orientations. The research program will increase our understanding of the role that social identification cues and interpretive schemas play in the affective and behavioral responses to persuasive messages that use different frame themes and structures.

科学界面临的一个长期挑战是如何向非专家受众传播科学。一种建议的沟通技巧是更多地依靠科学信息的框架，以便提供背景并与受众产生共鸣。该项目研究框架如何影响特定科学问题的传播：全球气候变化的性质和影响。通过一系列实验，该研究考察了两个框架维度：使用不同类型和数量的受全球气候变化影响的人的例子的影响，以及突出气候变化的不同方面（如经济，道德或避免灾难）的影响。根据之前的研究，我们预计人们会对突出他们可以识别的人的单一例子的消息做出更强烈的反应。我们也期望这些主题能引起不同价值取向的人的不同共鸣。该研究计划将增加我们对社会认同线索和解释图式在对使用不同框架主题和结构的说服性信息的情感和行为反应中所起作用的理解。