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Key parameters for modeling information diffusion in populations

机译:建模人口信息扩散的关键参数

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Modeling and simulation can be an important tool in helping develop techniques to better communicate safety-critical information for disaster preparation and recovery. However, these tools are only moderately useful if they do not capture both the social component (how information diffuses in a population through communication between individuals) and the cognitive component (how individuals integrate information and change behavior). The objective of this paper is to lay the groundwork for more complex simulations by providing a summarization of some of the important phenomenon identified in the attitude change literature. We describe four processes that are important to capture: (1) the drive for consistency; (2) information distortion; (3) persuasion route; and (4) implicit/explicit attitudes. We describe the experiments that illustrated these phenomenon and the factors that influence them (cognitive load, attitude relationships, and the social network). Finally, we describe a conceptual model that captures some of these processes and can be used as a starting point.
机译:建模和仿真可以成为帮助开发技术以更好地传达安全关键信息以进行灾难准备和恢复的重要工具。但是,这些工具只有在未同时捕获社会成分(信息如何通过个人之间的交流在人群中传播)和认知成分(个人如何整合信息并改变行为)的情况下,才有一定的作用。本文的目的是通过对态度变化文献中确定的一些重要现象进行总结,为更复杂的仿真奠定基础。我们描述了四个对捕获很重要的过程:(1)保持一致性的动力; (2)信息失真; (三)劝说途径; (4)内隐/外显的态度。我们描述了说明这些现象及其影响因素(认知负荷,态度关系和社交网络)的实验。最后,我们描述了一个概念模型,该模型捕获了其中一些过程,并且可以用作起点。

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