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 Citations (Scopus)

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 - 2012
Event2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012 - Istanbul, Turkey
Duration: Aug 26 2012Aug 29 2012

Other

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

Fingerprint

Websites

Keywords

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

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

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] https://doi.org/10.1109/ASONAM.2012.170

Sharing news articles using 140 characters : A diffusion analysis on twitter. / Bhattacharya, Devipsita; Ram, Sudha.

Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012. 2012. p. 966-971 6425634.

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

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., 6425634, pp. 966-971, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012, Istanbul, Turkey, 8/26/12. https://doi.org/10.1109/ASONAM.2012.170
Bhattacharya D, Ram S. 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. 2012. p. 966-971. 6425634 https://doi.org/10.1109/ASONAM.2012.170
Bhattacharya, Devipsita ; Ram, Sudha. / Sharing news articles using 140 characters : A diffusion analysis on twitter. Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012. 2012. pp. 966-971
@inproceedings{90454f5ff4a54656ae0a50839eb3b74d,
title = "Sharing news articles using 140 characters: A diffusion analysis on twitter",
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.",
keywords = "Information diffusion, Microblogging, News diffusion, Social media, Social networks, Twitter",
author = "Devipsita Bhattacharya and Sudha Ram",
year = "2012",
doi = "10.1109/ASONAM.2012.170",
language = "English (US)",
isbn = "9780769547992",
pages = "966--971",
booktitle = "Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012",

}

TY - GEN

T1 - Sharing news articles using 140 characters

T2 - A diffusion analysis on twitter

AU - Bhattacharya, Devipsita

AU - Ram, Sudha

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

KW - Information diffusion

KW - Microblogging

KW - News diffusion

KW - Social media

KW - Social networks

KW - Twitter

UR - http://www.scopus.com/inward/record.url?scp=84874260473&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84874260473&partnerID=8YFLogxK

U2 - 10.1109/ASONAM.2012.170

DO - 10.1109/ASONAM.2012.170

M3 - Conference contribution

AN - SCOPUS:84874260473

SN - 9780769547992

SP - 966

EP - 971

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

ER -