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;
