TY - GEN
T1 - Sharing news articles using 140 characters
T2 - 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012
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
T3 - Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012
SP - 966
EP - 971
BT - Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2012
Y2 - 26 August 2012 through 29 August 2012
ER -