Rumor analysis & visualization system

Anjan Pal, Alton Y.K. Chua, Dion H. Goh

Research output: Contribution to journalConference articlepeer-review


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.

Original languageEnglish
Pages (from-to)342-346
Number of pages5
JournalLecture Notes in Engineering and Computer Science
Publication statusPublished - 2019
Event2019 International MultiConference of Engineers and Computer Scientists, IMECS 2019 - Kowloon, Hong Kong
Duration: 13 Mar 201915 Mar 2019

Bibliographical note

Funding Information:
Manuscript received November 20, 2018; revised December, 12, 2018. This work was supported by the Ministry of Education Research Grant AcRF Tier 2 (MOE2014-T2-2-020).

Funding Information:
This work was supported by the Ministry of Education Research Grant AcRF Tier 2 (MOE2014-T2-2-020).

Publisher Copyright:
© 2019 Turkiye Klinikleri Journal of Medical Sciences. All rights reserved.


  • Information contagion
  • Online rumor
  • Social media
  • Visualization

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