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| Presentation | 2021-03-04 14:30 Detection of Users Spreading Fake News Using Graph Neural Network Soh Yoshida, Hayato Matsumoto, Mitsuji Muneyasu (Kansai Univ.)  SIS2020-48 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Social media has become one of the primary news sources for people around the world. However, there is an increased risk of fake news written intentionally to mislead readers, making credibility questionable. This paper investigates a user detection method for spreading fake news using a graph neural network. Recent studies have reported that fake news and real news have different propagation patterns on social media. Unlike conventional style-based detection methods, the proposed method extracts propagation-based features using deep neural networks and applies them to train fake news detectors. The effectiveness of the proposed feature is confirmed by comparison experiments using various detectors. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Fake news / Graph neural network / / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 415, SIS2020-48, pp. 71-76, March 2021. | |
| Paper # | SIS2020-48 | |
| Date of Issue | 2021-02-25 (SIS) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | SIS2020-48 |
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| Conference Information | |
| Committee | SIS |
| Conference Date | 2021-03-04 - 2021-03-05 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Soft Computing, etc. |
| Paper Information | |
| Registration To | SIS |
| Conference Code | 2021-03-SIS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Detection of Users Spreading Fake News Using Graph Neural Network |
| Sub Title (in English) | |
| Keyword(1) | Fake news |
| Keyword(2) | Graph neural network |
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| 1st Author's Name | Soh Yoshida |
| 1st Author's Affiliation | Kansai University (Kansai Univ.) |
| 2nd Author's Name | Hayato Matsumoto |
| 2nd Author's Affiliation | Kansai University (Kansai Univ.) |
| 3rd Author's Name | Mitsuji Muneyasu |
| 3rd Author's Affiliation | Kansai University (Kansai Univ.) |
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| Speaker | Author-1 |
| Date Time | 2021-03-04 14:30:00 |
| Presentation Time | 20 minutes |
| Registration for | SIS |
| Paper # | SIS2020-48 |
| Volume (vol) | vol.120 |
| Number (no) | no.415 |
| Page | pp.71-76 |
| #Pages | 6 |
| Date of Issue | 2021-02-25 (SIS) |
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