Massive meme identification and popularity analysis in geopolitics

Saike He, Hongtao Yang, Xiaolong Zheng, Bo Wang, Yujun Zhou, Yanjun Xiong, Daniel Zeng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Geopolitics is a long-lasting key issue for governments and nations to assess the international political landscape. The great proliferation of social media in recently years have provided a new avenue to make such political actions in a data driven manner. As the information consumption ability of human is limited, there demands an automatic approach to effectively identify and trace the bursts continuously emerging on social media platforms. Existing studies focusing on named entities recognition or topic detection could provide useful insights for analyzing events that are already known, yet they are incapable of identifying timely emerging trending catchphrase or topics, or memes in general.To tackle with this issue, we elaborate a framework to identify online memes and trace their future dynamics. This framework identify memes based on their independency with regard to the context, and aggregate literal variants of a same meme together into a memeplex with a newly proposed MemeMesh algorithm. Evaluation results on a large scale Twitter dataset suggest that the framework could identify geopolitical memes effectively. Further exploration on meme popularity factors reveals that popularity memes tend to generate more variants during their diffusion, and establish their dominance by attracting a large volume of active users engaging in their diffusion. Causality analysis between meme diversity and user volume suggests that high diversity of meme variants can attract more users involved in spreading a meme at the initial, but these users seldom regenerate more variants in the later time.

Original languageEnglish (US)
Title of host publication2019 IEEE International Conference on Intelligence and Security Informatics, ISI 2019
EditorsXiaolong Zheng, Ahmed Abbasi, Michael Chau, Alan Wang, Lina Zhou
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages116-121
Number of pages6
ISBN (Electronic)9781728125046
DOIs
StatePublished - Jul 2019
Externally publishedYes
Event17th IEEE International Conference on Intelligence and Security Informatics, ISI 2019 - Shenzhen, China
Duration: Jul 1 2019Jul 3 2019

Publication series

Name2019 IEEE International Conference on Intelligence and Security Informatics, ISI 2019

Conference

Conference17th IEEE International Conference on Intelligence and Security Informatics, ISI 2019
CountryChina
CityShenzhen
Period7/1/197/3/19

Keywords

  • Meme identification
  • MemeMesh
  • Popularity factors

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Information Systems

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  • Cite this

    He, S., Yang, H., Zheng, X., Wang, B., Zhou, Y., Xiong, Y., & Zeng, D. (2019). Massive meme identification and popularity analysis in geopolitics. In X. Zheng, A. Abbasi, M. Chau, A. Wang, & L. Zhou (Eds.), 2019 IEEE International Conference on Intelligence and Security Informatics, ISI 2019 (pp. 116-121). [8823294] (2019 IEEE International Conference on Intelligence and Security Informatics, ISI 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISI.2019.8823294