文章基本信息

标题：Rumor Analysis &Visualization System
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作者：Anjan Pal ; Alton Y.K. Chua ; Dion H. Goh 等
期刊名称：Lecture Notes in Engineering and Computer Science
印刷版ISSN：2078-0958
电子版ISSN：2078-0966
出版年度：2019
卷号：2239
页码：342-346
出版社：Newswood and International Association of Engineers
摘要：Rumor messages do not spread in isolation on social media but are followed by the cascades of other messages, namely, counter-rumors and uncertainty-expressing messages. To provide a holistic understanding of how messages spread in wake of a rumor outbreak, the aim of this paper is to propose a framework of an integrated Rumor Analysis and Visualization System. The framework identifies four major modules in terms of the core functionalities of the system: 1) Data Crawling; 2) Data Pre-processing; 3) Data Analysis; and 4) Visualization. The functionalities of these four modules help examine the three types of messages—rumor, counter-rumor, and uncertainty-expressing messages—in the wake of a rumor outbreak. Since visualization enables the dynamics of information contagion to be more effectively presented to the user than text-based formats, the integrated system could be used as a training and deployment toolkit to understand the big picture when authorities need to take decisions and actions to deal with rumors.
关键词：information contagion; online rumor; social; media; visualization.