DocumentCode
1765859
Title
Misinformation Propagation in the Age of Twitter
Author
Fang Jin ; Wei Wang ; Liang Zhao ; Dougherty, Edward ; Yang Cao ; Chang-Tien Lu ; Ramakrishnan, N.
Author_Institution
Virginia Tech, Blacksburg, VA, USA
Volume
47
Issue
12
fYear
2014
fDate
Dec. 2014
Firstpage
90
Lastpage
94
Abstract
A quantitative analysis of tweets during the Ebola crisis reveals that lies, half-truths, and rumors can spread just like true news.
Keywords
diseases; information dissemination; social networking (online); Ebola crisis; Twitter; half-truths; lies; misinformation propagation; quantitative analysis; rumors; true news; Computational modeling; Data mining; Diseases; Information analysis; Information discovery; Social network services; Twitter; Ebola; Twitter; data mining; discovery analytics; information propagation; social media;
fLanguage
English
Journal_Title
Computer
Publisher
ieee
ISSN
0018-9162
Type
jour
DOI
10.1109/MC.2014.361
Filename
6994082
Link To Document