Sharing news articles using 140 characters: A diffusion analysis on twitter

Devipsita Bhattacharya, Sudha Ram

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

27 Scopus citations

Abstract

Is it possible to effectively spread news articles to a large audience using 140 characters? How does the microblogging website Twitter get used as a platform for the news media agencies to create awareness about the articles they publish on a daily basis? Our study of the diffusion patterns of news articles from 12 popular news sources, including BBC, New York Times, and Mashable on Twitter reveals that a large number of users not only consume and comment on these news articles but also share them in different ways. Combining the methods of network and temporal analyses, we examine and report on how news articles diffuse on Twitter, and how different propagation mechanisms result in different lifespans for news articles.

Original languageEnglish (US)
Title of host publicationProceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012
Pages966-971
Number of pages6
DOIs
StatePublished - Dec 1 2012
Event2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012 - Istanbul, Turkey
Duration: Aug 26 2012Aug 29 2012

Publication series

NameProceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012

Other

Other2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012
CountryTurkey
CityIstanbul
Period8/26/128/29/12

Keywords

  • Information diffusion
  • Microblogging
  • News diffusion
  • Social media
  • Social networks
  • Twitter

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

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  • Cite this

    Bhattacharya, D., & Ram, S. (2012). Sharing news articles using 140 characters: A diffusion analysis on twitter. In Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012 (pp. 966-971). [6425634] (Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012). https://doi.org/10.1109/ASONAM.2012.170