| Presentation | 2023-03-02 Improved accuracy of fake news detection through user stance analysis Kayato Soga, Soh Yoshida, Mitsuji Muneyasu, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The spread of fake news has become a serious social problem. In recent years, propagation-based fake news detection methods that focus on differences in the structure of news propagation on social networking services have shown promise. Conventional methods cannot take into account the phenomenon that fake news spreads through interactions with users who have similar beliefs to their own based on confirmation bias. We propose a propagation-based detection method that can take into account the similarity of opinions among users by extracting beliefs through stance analysis of news and tweets and calculating the similarity of stance features along interactions. Considering the difficulty of microblog stance analysis, the proposed method is able to suppress the influence of stance features that hinder structure identification. Experimental results using Twitter data show that the proposed method significantly outperforms conventional methods. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Fake news / Stance analysis / Graph neural network |
| Paper # | SIS2022-44 |
| Date of Issue | 2023-02-23 (SIS) |
| Conference Information | |
| Committee | SIS |
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| Conference Date | 2023/3/2(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Chiba Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Tomoaki Kimura(Kanagawa Inst. of Tech.) |
| Vice Chair | Naoto Sasaoka(Tottori Univ.) / Hakaru Tamukoh(Kyushu Inst. of Tech.) |
| Secretary | Naoto Sasaoka(NTT) / Hakaru Tamukoh(Kansai Univ.) |
| Assistant | Yoshiaki Makabe(Kanagawa Inst. of Tech.) / Yosuke Sugiura(Saitama Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Smart Info-Media Systems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Improved accuracy of fake news detection through user stance analysis |
| Sub Title (in English) | |
| Keyword(1) | Fake news |
| Keyword(2) | Stance analysis |
| Keyword(3) | Graph neural network |
| 1st Author's Name | Kayato Soga |
| 1st Author's Affiliation | Kansai University(Kansai Univ.) |
| 2nd Author's Name | Soh Yoshida |
| 2nd Author's Affiliation | Kansai University(Kansai Univ.) |
| 3rd Author's Name | Mitsuji Muneyasu |
| 3rd Author's Affiliation | Kansai University(Kansai Univ.) |
| Date | 2023-03-02 |
| Paper # | SIS2022-44 |
| Volume (vol) | vol.122 |
| Number (no) | SIS-410 |
| Page | pp.pp.21-26(SIS), |
| #Pages | 6 |
| Date of Issue | 2023-02-23 (SIS) |