Interactive Evolution of Multidimensional Information in Social Media for Public Emergency: A Perspective from Optics Scattering

Xiaoyue Ma , Xiao Meng , Hao Ma
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引用次数: 3

Abstract

Most of the current research on the information analysis of social media (SM) for public emergency focused on a single dimension such as emotion while neglecting the interaction between multidimensional information. Therefore, in this study, an information dispersing–superimposing model is proposed to explain the implicit regularity of the impact within a symbol, sentiment, and context information and their dependent evolution on the SM. Information hue, saturation, and flux (HSF) are defined to measure the interaction process. An online event was selected to verify the concept and hypothesis of this study. The results proved that the interaction among multidimensional information did exist on the SM for a public emergency. The turning points of information dispersing–superimposing often emerged when the number of online users involved had significant changes, and sentiment and context information were showed to have a strong interaction relationship and tended to be spread at the same time. It was also manifested that the dominant information component was varied at each stage of the emergency. This paper is one of the first to study the interaction of multidimensional information on the SM derived from optics scattering. The findings of the study will try to provide a theoretical explanation for why certain information components may be enhanced during the online dissemination and suggest practical support for the information predictions and interface design for SM.

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突发公共事件社交媒体中多维信息的交互演化——基于光学散射的视角
当前关于突发公共事件社交媒体信息分析的研究大多集中在情感等单一维度上,而忽略了多维信息之间的相互作用。因此,本研究提出了一个信息分散-叠加模型来解释符号、情感和上下文信息之间的影响及其在SM上的依赖演化的隐含规律。定义了信息色相、饱和度和通量(HSF)来测量交互过程。选择一个在线事件来验证本研究的概念和假设。结果表明,突发公共事件信息管理中确实存在多维信息交互作用。信息扩散叠加的拐点往往出现在参与网络用户数量发生重大变化时,情绪信息和语境信息表现出较强的交互关系,并有同时传播的趋势。还表明,在紧急情况的每个阶段,占主导地位的信息组成部分各不相同。本文首次研究了由光学散射得到的SM上的多维信息的相互作用。本研究的结果将试图为网络传播过程中某些信息成分为何会被强化提供理论解释,并为网络传播的信息预测和界面设计提供实践支持。
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来源期刊
Data and information management
Data and information management Management Information Systems, Library and Information Sciences
CiteScore
3.70
自引率
0.00%
发文量
0
审稿时长
55 days
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