| Presentation | 2023-03-03 Interaction Model of Fake News and Corrections That Can Reflect Various User Characteristics Takumi Sakiyama, Masaki Aida, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | With the spread of social networking services, the problem of fake news is becoming more serious. As a countermeasure, it seems effective to disseminate corrective information. In reality, however, there are reports of cases in which the dissemination of corrective information has ironically increased attention to fake news and worsened the situation. We have proposed a model for the interaction between fake news and corrective information in the case where the speed of information diffusion among users is determined by the nodal degrees, and investigated measures to prevent the activation of fake news. In this paper, we investigate a model for the interaction between fake news and corrective information in the case where the speed of information diffusion among users is determined by various user characteristics. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | activator-inhibitor model / user characteristics / fake news / interaction |
| Paper # | IN2022-124 |
| Date of Issue | 2023-02-23 (IN) |
| Conference Information | |
| Committee | IN / NS |
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| Conference Date | 2023/3/2(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Convention Centre + Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General |
| Chair | Kunio Hato(Internet Multifeed) / Tetsuya Oishi(NTT) |
| Vice Chair | Tsutomu Murase(Nagoya Univ.) / Takumi Miyoshi(Shibaura Insti of Tech.) |
| Secretary | Tsutomu Murase(KDDI Research) / Takumi Miyoshi(Nagaoka Univ. of Tech.) |
| Assistant | / Kotaro Mihara(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Information Networks / Technical Committee on Network Systems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Interaction Model of Fake News and Corrections That Can Reflect Various User Characteristics |
| Sub Title (in English) | |
| Keyword(1) | activator-inhibitor model |
| Keyword(2) | user characteristics |
| Keyword(3) | fake news |
| Keyword(4) | interaction |
| 1st Author's Name | Takumi Sakiyama |
| 1st Author's Affiliation | Tokyo Metropolitan University(TMU) |
| 2nd Author's Name | Masaki Aida |
| 2nd Author's Affiliation | Tokyo Metropolitan University(TMU) |
| Date | 2023-03-03 |
| Paper # | IN2022-124 |
| Volume (vol) | vol.122 |
| Number (no) | IN-407 |
| Page | pp.pp.347-352(IN), |
| #Pages | 6 |
| Date of Issue | 2023-02-23 (IN) |