Mathematical models of message discrepancy: previous models and a modified psychological discounting model

IF 5.4 3区 材料科学 Q2 CHEMISTRY, PHYSICAL
Sungeun Chung, E. Fink
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引用次数: 1

Abstract

Formal modeling is rare in communication studies. Still, several mathematical models have been proposed regarding the persuasive effects of message discrepancy, the difference between a message’s advocated position and a message recipient’s initial position. With numerical simulations, we analyzed four formal models to identify their strengths and weaknesses. Based on analyses of previous models, we proposed a modified psychological discounting model by solving a differential equation regarding the rate of change of the probability of message acceptance with respect to psychological discrepancy. Whereas previous models predicted nonmonotonic relationships between message discrepancy and belief change, the new model predicts that as message discrepancy increases, belief change monotonically increases unless facilitating factors change due to extremely discrepant messages. We discuss differences between the previous models and the new model, and their significance and implications for theories of persuasion as well as the limitations of the new model.
信息差异的数学模型:先前的模型和改进的心理贴现模型
形式化建模在传播学研究中很少见。尽管如此,关于信息差异的说服作用,即信息的主张立场和信息接收者的初始立场之间的差异,已经提出了几个数学模型。通过数值模拟,我们分析了四个形式模型,以确定它们的优势和劣势。在分析以往模型的基础上,我们通过求解一个关于信息接受概率相对于心理差异的变化率的微分方程,提出了一个改进的心理折扣模型。先前的模型预测了信息差异和信念变化之间的非单调关系,而新模型预测,随着信息差异的增加,信念变化单调增加,除非促进因素因信息的极度差异而改变。我们讨论了先前模型和新模型之间的差异,以及它们对说服理论的意义和启示,以及新模型的局限性。
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来源期刊
ACS Applied Energy Materials
ACS Applied Energy Materials Materials Science-Materials Chemistry
CiteScore
10.30
自引率
6.20%
发文量
1368
期刊介绍: ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.
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