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A Multi-Appeal Model of Persuasion for Online Petition Success: A Linguistic Cue-Based Approach

机译:在线请愿书成功的一种多吸引人的劝说模型:基于语言的暗示方法

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Online petitions have become a powerful tool used by the public to affect change in society. Despite the increasing popularity of these petitions, it remains unclear how the public consumes and interprets their content and how this helps the creators of online petitions achieve their goals. This study investigates how linguistic factors present in online petition texts influence petition success. Specifically, drawing upon the dual-process theory of persuasion and the moral persuasion literature, this study examines cognitive, emotional, and moral linguistic factors in petition texts and identifies how they contribute to the success or failure of online petitions. The results, which are based on an analysis of 45,377 petitions from Change.org , show that petitions containing positive emotions and enlightening information are more likely to succeed. Contrary to popular belief, petitions containing heavy cognitive reasoning and those emphasizing moral judgment are less likely to succeed. This study also exemplifies the use of an analytical approach for examining crowd-sourced content involving online political phenomena related to policy-making, governance, political campaigns, and large social causes.
机译:在线请愿书已成为公众使用的强大工具,以影响社会的变化。尽管这些请愿所日益普及,但尚不清楚公众消费和解释其内容以及如何帮助在线请愿书的创造者实现目标。本研究调查了在线请愿文本中的语言因素如何影响请愿书成功。具体而言,借鉴了劝说和道德劝说文学的双程处理理论,本研究审查了请愿文本中的认知,情感和道德语言因素,并确定了如何为在线请愿书的成功或失败做出贡献。结果基于Syper.org的45,377份请愿书,表明含有积极情绪和启示信息的请愿更有可能成功。与流行的信念相反,含有沉重认知推理和强调道德判断的请愿不太可能成功。本研究还举例说明了使用分析方法来检查涉及与政策制定,治理,政治运动和大型社会原因相关的在线政治现象的人群源含量。

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