Abstract
Twitter is a popular microblogging service in Japan. People use the Twitter for communicating with friends, and posting tweet daily life events. In addition, Twitter has also been used in an emergency situation, such as the earthquake. In the East Japan great earthquake disaster, people were using Twitter to get refuge and rescue informations. However, spreading false rumor has become a major social problem. We aim to propose suppression scheme of false rumor. Therefore, we propose a novel multiagent-based information diffusion model to reveal the diffusion mechanism of false rumor in this paper. Our model is to focus on the information diffusion behavior of each Twitter user. We consider three elements of each user, “User’s diversity”, “Life pattern”, and “State transition”. In addition, our model also takes into account multiple of the information path, which is a feature of Twitter. We evaluate the validity of our model.
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Notes
- 1.
Real tweets collected before and after the East Japan earthquake disaster by Toriumi et al. from March 11 to 24, 2011 [9]. Okada et al. extracted these tweets related to false rumors and their corrections.
References
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Ikeda, K., Sakaki, T., Toriumi, F., Kurihara, S. (2016). An Examination of a Novel Information Diffusion Model: Considering of Twitter User and Twitter System Features. In: Osman, N., Sierra, C. (eds) Autonomous Agents and Multiagent Systems. AAMAS 2016. Lecture Notes in Computer Science(), vol 10002. Springer, Cham. https://doi.org/10.1007/978-3-319-46882-2_11
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DOI: https://doi.org/10.1007/978-3-319-46882-2_11
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