Self-effects of user-generated messages on pro-environmental identity

Laura M. Arpan, Elizabeth C. Ray, Nicholas Sellers, O. Bravo
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Abstract

Abstract An experiment tested whether user-generated pro-environmental messages (UGC) enhanced environmental self-identity among message creators. Participants were randomly assigned to create a message about saving energy, view a message with similar content ostensibly created by similar others, or view irrelevant messages. Those who created their own messages had greater post-message self-identity than those in the other two conditions. Additionally, those who created their own messages had greater post-message intentions to save energy in the near future than those in the other two conditions, and behavioral intentions were positively correlated with self-identity. Implications for campaigns and educational efforts are discussed.
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用户生成信息对亲环境认同的自我影响
摘要本研究旨在验证用户生成的亲环境信息(UGC)是否能增强信息创造者的环境自我认同。参与者被随机分配创建一个关于节能的消息,查看一个表面上由相似的人创建的内容相似的消息,或者查看无关的消息。那些自己创建信息的人比其他两种情况下的人有更大的信息后自我认同。此外,与其他两种情况相比,那些自己创建信息的人在信息发布后有更大的在不久的将来节省能源的意图,行为意图与自我认同呈正相关。讨论了对运动和教育工作的影响。
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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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