Propagation of online news: Dynamic patterns

Wang Youzhong, Dajun Zeng, Zheng Xiaolong, Wang Feiyue

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

7 Scopus citations

Abstract

A large portion of online news articles and postings are not originally created but reprinted or re-posted from other online news sources or portals. In this paper, we analyze the dynamics of online news propagation, using a large collection of Chinese online news activity data. We characterize prominent features of online news diffusion and compare them against the spreading patterns of the epidemic. Several critical factors influencing the news propagation process are identified, including the centrality and selectivity of source portals, and event variability.

Original languageEnglish (US)
Title of host publication2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009
Pages257-259
Number of pages3
DOIs
Publication statusPublished - 2009
Event2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009 - Dallas, TX, United States
Duration: Jun 8 2009Jun 11 2009

Other

Other2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009
CountryUnited States
CityDallas, TX
Period6/8/096/11/09

Keywords

  • Complex networks
  • Online news propagation
  • Social meida

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Software

Cite this

Youzhong, W., Zeng, D., Xiaolong, Z., & Feiyue, W. (2009). Propagation of online news: Dynamic patterns. In 2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009 (pp. 257-259). [5137321] https://doi.org/10.1109/ISI.2009.5137321