Exploring opinion dynamics in security-related microblog data

Yuhao Zhang, Wenji Mao, Daniel Zeng, Ning Zhao, Xiuguo Bao

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

1 Scopus citations

Abstract

Web social media has become one of the major channels for people to express their opinions, share their feelings and communicate with others. Public opinions often ebb and flow with time due to the occurrence of social events and mutual influence of people on certain topics. The dynamic change of public opinions reflects the evolvement and trend of public attitudes and can facilitate many security-related applications. In this paper, we explore the modeling and detection of opinion dynamics on a specific topic based on textual social media data. We first define three measures to provide a thorough description of opinion dynamics, and identify the key factors that influence opinion changes, namely sentiment, social influence and dynamic factors. We then develop the computational method to capture opinion dynamics in security-related data. A preliminary empirical study is conducted based on the data from Weibo, one of the most popular microblog sites in China. The experimental results show the effectiveness of our method in modeling and predicting opinion dynamics.

Original languageEnglish (US)
Title of host publicationProceedings - 2014 IEEE Joint Intelligence and Security Informatics Conference, JISIC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages284-287
Number of pages4
ISBN (Electronic)9781479963645
DOIs
StatePublished - Dec 4 2014
Event2014 IEEE Joint Intelligence and Security Informatics Conference, JISIC 2014 - The Hague, Netherlands
Duration: Sep 24 2014Sep 26 2014

Publication series

NameProceedings - 2014 IEEE Joint Intelligence and Security Informatics Conference, JISIC 2014

Other

Other2014 IEEE Joint Intelligence and Security Informatics Conference, JISIC 2014
CountryNetherlands
CityThe Hague
Period9/24/149/26/14

Keywords

  • modeling and detection of sentiment evolvement
  • opinion dynamics
  • social media analytics

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Software

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  • Cite this

    Zhang, Y., Mao, W., Zeng, D., Zhao, N., & Bao, X. (2014). Exploring opinion dynamics in security-related microblog data. In Proceedings - 2014 IEEE Joint Intelligence and Security Informatics Conference, JISIC 2014 (pp. 284-287). [6975593] (Proceedings - 2014 IEEE Joint Intelligence and Security Informatics Conference, JISIC 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/JISIC.2014.56