SIR-Extended Information Diffusion Model of False Rumor and its Prevention Strategy for Twitter
Yoshiyuki Okada*1, Keisuke Ikeda*2, Kosuke Shinoda*2,
Fujio Toriumi*3, Takeshi Sakaki*3,Kazuhiro Kazama*4,
Masayuki Numao*1, Itsuki Noda*5, and Satoshi Kurihara*2
*1The Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka 567-0047, Japan
*2Graduate School of Information Systems, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo 182-8585, Japan
*3The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
*4Department of Computer and Communication Sciences, Faculty of Systems Engineering, Wakayama University, 930 Sakaedani Wakayama-shi, Wakayama 640-8510, Japan
*5National Institute of Advanced Industrial Science and Technology, 1-1-1 Umezono, Tsukuba, Ibaraki 305-8568, Japan
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.
-  Y. Aosaki, T. Sugihara, and K. Umemoto, “Examining the Trend toward a Service Economy in Information Media through Changes to Technology: Influence of Twitter on Media Companies,” Proc. of Technology Management for Global Economic Growth (PICMET’10), pp. 1-5, 2010.
-  2011 WHITE PAPER Information and Communications in Japan:
Ministry of Internal Affairs and Communications, 2011.
-  Bernardo A. Huberman, Daniel M. Romero, and Fang Wu, “Social networks that matter: Twitter under the microscope,” First Monday, Vol.14, No.1, 2009.
-  S. Akioka, N. Kato, Y. Muraoka, and H. Yamana, “Cross-media Impact on Twitter in Japan,” Proc. of the 2nd Int. Workshop on Search and Mining User-Generated Contents, pp. 111-118, 2010.
-  H. Kwak, C. Lee, H. Park, and S. Moon, “What is Twitter, a Social Network or a News Media?,” Proc. of the 19th Int. Conf. on World Wide Web, pp. 591-600, 2010.
-  F. Toriumi, K. Shinoda, S. Kurihara, T. Sakaki, K. Kazama, and I. Noda, “Disaster Changes the Social Media,” JWEIN11, pp. 41-46, 2011 (in Japanese).
-  J. Weng, E.-P. Lim, J. Jiang, and Q. He, “TwitterRank: Finding Topic-sensitive Influential Twitterers,” Proc. of the 3rd ACM Int. Conf. on Web Search and Data Mining, pp. 261-270, 2010.
-  E. Bakshy, J. M. Hofman, W. A. Mason, and D. J. Watts, “Everyone’s an Influencer: Quantifying Influence on Twitter,” Proc. of the 4th ACM Int. Conf. on Web Search and Data Mining, pp. 65-74, 2011.
-  Carlos Castillo, Marcelo Mendoza, and Barbara Poblete, “Information Credibility on Twitter,” Proc. of the 20th Int. Conf. on World Wide Web, pp. 675-684. 2011.
-  A. Umejima, M. Miyabe, E. Aramaki, and A. Nadamoto, “Tendency of Rumor and Correction Re-tweet on the Twitter during Disasters,” IPSJ SIG Technical Report, Vol.2011-IFAT-103, No.4, pp. 1-6, 2011 (in Japanese).
-  W. O. Kermack and A. G. McKendrick, “A Contribution to the Mathematical Theory of Epidemics,” Proc. of the Royal Society 115A, pp. 700-721, 1927.