| Presentation | 2021-02-18 Proposal of a News Article Comments Generation Model for Early Automatic Detection of Fake News Yuta Yanagi, Ryohei Orihara, Yasuyuki Tahara, Yuichi Sei, Akihiko Ohsuga, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recently, fake news makes wrong rumors on social networks. Automatic detection of fake news with social contexts(e.g. likes, retweets, replies) is a popular research topic. However, these are unavailable in the early stage. We propose a fake news detector by generating comments. The fake context generation is based on a fake news generator. This generates comments using a dataset with news articles and comments. We examined the performance of the model, to obtain the result that a generated comment help it detect more fake news than real comments only. It suggests our detector will be effective to spot fake news. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Natural Language Processing / Generating Sentences / Microblog / Fake News |
| Paper # | NLC2020-30 |
| Date of Issue | 2021-02-11 (NLC) |
| Conference Information | |
| Committee | NLC |
|---|---|
| Conference Date | 2021/2/18(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | The 17th Text Analytics Symposium |
| Chair | Kazutaka Shimada(Kyushu Inst. of Tech.) |
| Vice Chair | Mitsuo Yoshida(Toyohashi Univ. of Tech.) / 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) | Proposal of a News Article Comments Generation Model for Early Automatic Detection of Fake News |
| Sub Title (in English) | |
| Keyword(1) | Natural Language Processing |
| Keyword(2) | Generating Sentences |
| Keyword(3) | Microblog |
| Keyword(4) | Fake News |
| 1st Author's Name | Yuta Yanagi |
| 1st Author's Affiliation | University of Electro-Communications(UEC) |
| 2nd Author's Name | Ryohei Orihara |
| 2nd Author's Affiliation | University of Electro-Communications(UEC) |
| 3rd Author's Name | Yasuyuki Tahara |
| 3rd Author's Affiliation | University of Electro-Communications(UEC) |
| 4th Author's Name | Yuichi Sei |
| 4th Author's Affiliation | University of Electro-Communications(UEC) |
| 5th Author's Name | Akihiko Ohsuga |
| 5th Author's Affiliation | University of Electro-Communications(UEC) |
| Date | 2021-02-18 |
| Paper # | NLC2020-30 |
| Volume (vol) | vol.120 |
| Number (no) | NLC-374 |
| Page | pp.pp.43-48(NLC), |
| #Pages | 6 |
| Date of Issue | 2021-02-11 (NLC) |