Author:
Okada Yoshiyuki, ,Ikeda Keisuke,Shinoda Kosuke,Toriumi Fujio,Sakaki Takeshi,Kazama Kazuhiro,Numao Masayuki,Noda Itsuki,Kurihara Satoshi, , , ,
Abstract
Nowadays, users of Twitter, one of famous social networking service, have rapidly increased in number, and many people have been exchanging information by Twitter. When the Great East Japan Earthquake struck in 2011, people were able to obtain information from social networking services. Though Twitter played an important role, one problem was especially pointed out: false rumor diffusion. In this study, we propose an information diffusion model based on the SIR model and discuss how to prevent false rumor diffusion.
Publisher
Fuji Technology Press Ltd.
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction
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