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Retweetability Analysis and Prediction during Hurricane Sandy
Venkata Kishore Neppalli
author
Murilo Cerqueira Medeiros
author
Cornelia Caragea
author
Doina Caragea
author
Andrea Tapia
author
Shane Halse
author
2016
Federal University of Rio de Janeiro
Rio de Janeiro, Brasil
English
Twitter is a very important source for obtaining information, especially during events such as natural disasters. Users can spread information in Twitter either by crafting new posts, which are called ?tweets,? or by using retweet mechanism to re-post the previously created tweets. During natural disasters, identifying how likely a tweet is to be highly retweeted is very important since it can help promote the spread of good information in a network such as Twitter, as well as it can help stop the spread of misinformation, when corroborated with approaches that identify trustworthy information or misinformation, respectively. In this paper, we present an analysis on retweeted tweets to determine several aspects affecting retweetability. We then extract features from tweets? content and user account information and perform experiments to develop models that automatically predict the retweetability of a tweet in the context of the Hurricane Sandy.
Twitter
Retweetability Analysis
Retweetability Prediction
Hurricane Sandy
Disaster Events
exported from refbase (http://idl.iscram.org/show.php?record=1389), last updated on Sun, 22 May 2016 09:51:00 +0200
text
http://idl.iscram.org/files/venkatakishoreneppalli/2016/1389_VenkataKishoreNeppalli_etal2016.pdf
VenkataKishoreNeppalli_etal2016
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management
ISCRAM 2016
A. Tapia
editor
P. Antunes
editor
V.A. BaƱuls
editor
K. Moore
editor
J. Porto
editor
13th International Conference on Information Systems for Crisis Response and Management
2016
Federal University of Rio de Janeiro
Rio de Janeiro, Brasil
conference publication
978-84-608-7984-9
2411-3388
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