Group affirmation influences acceptance of environmental risk messages

Zihan Wang, Laura M. Arpan
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引用次数: 2

Abstract

Abstract An experiment examined the influence of self-affirmation on individuals’ responses to messages about environmental threats. A new manner of self-affirmation more appropriate for use in the field than traditional approaches was tested. The visual-based manipulation used group-related photographs to affirm participants’ self-integrity before exposure to risk messages. Exposure to group-related visuals was associated with more positive evaluations (perceived message strength) of the messages. In turn, greater perceived message strength predicted greater awareness of consequences associated with harmful environmental behaviors of plastic bag use and energy waste, which predicted greater personal moral norms to reduce those behaviors. The findings suggest visual-based, group-related affirmation could increase acceptance of risk messages.
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群体肯定影响环境风险信息的接受程度
摘要本实验考察了自我肯定对个体对环境威胁信息反应的影响。试验了一种比传统方法更适合于实地使用的新的自我肯定方式。基于视觉的操作使用与群体相关的照片来确认参与者在接触风险信息之前的自我完整性。接触与群体相关的视觉效果与对信息的更积极评价(感知信息强度)相关。反过来,更强的感知信息强度预示着更强的对塑料袋使用和能源浪费等有害环境行为相关后果的意识,这预示着更强的个人道德规范来减少这些行为。研究结果表明,基于视觉的、与群体相关的肯定可以增加对风险信息的接受度。
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来源期刊
CiteScore
2.30
自引率
0.00%
发文量
15
期刊介绍: Applied Artificial Intelligence addresses concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about impacts of AI research. Articles highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. Papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material are welcome.
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