| Presentation | 2021-09-16 Early detection of false information on Twitter by deep learning with sequential data of user and text Kohei Suto, Jianwei Zhang, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The spread of false information has become a problem in the development of SNS in recent years. False information may have an adverse effect on the world in terms of politics, economy, disasters, etc. However, it is difficult to detect quickly by hand, and thus the development of technology for automatic early detection is required. In this research, we propose a method for early detection of false information by deep learning using features extracted by using RNN and CNN from tweet users and tweet texts, while considering the time series of tweets for Twitter. As a result of comparing only the user features and the text features in addition to the user features, it is found that the performance of the model can be improved by adding the text features. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Twitter / sequential data / machine learning / false information / early detection |
| Paper # | NLC2021-14 |
| Date of Issue | 2021-09-09 (NLC) |
| Conference Information | |
| Committee | NLC |
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| Conference Date | 2021/9/16(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | The 18th Text Analytics Symposium |
| Chair | Kazutaka Shimada(Kyushu Inst. of Tech.) |
| Vice Chair | Mitsuo Yoshida(Univ. of Tsukuba) / Takeshi Kobayakawa(NHK) |
| Secretary | Mitsuo Yoshida(Univ. of Tokyo) / Takeshi Kobayakawa(Hiroshima Univ. of Economics) |
| Assistant | Kanjin Takahashi(Sansan) / Ko Mitsuda(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Natural Language Understanding and Models of Communication |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Early detection of false information on Twitter by deep learning with sequential data of user and text |
| Sub Title (in English) | |
| Keyword(1) | |
| Keyword(2) | sequential data |
| Keyword(3) | machine learning |
| Keyword(4) | false information |
| Keyword(5) | early detection |
| 1st Author's Name | Kohei Suto |
| 1st Author's Affiliation | Iwate University(Iwate Univ.) |
| 2nd Author's Name | Jianwei Zhang |
| 2nd Author's Affiliation | Iwate University(Iwate Univ.) |
| Date | 2021-09-16 |
| Paper # | NLC2021-14 |
| Volume (vol) | vol.121 |
| Number (no) | NLC-178 |
| Page | pp.pp.34-39(NLC), |
| #Pages | 6 |
| Date of Issue | 2021-09-09 (NLC) |