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Paper Abstract and Keywords
Presentation 2021-02-18 17:20
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 (UEC) NLC2020-30
Abstract (in Japanese) (See Japanese page) 
(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) 
(in English) Natural Language Processing / Generating Sentences / Microblog / Fake News / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 374, NLC2020-30, pp. 43-48, Feb. 2021.
Paper # NLC2020-30 
Date of Issue 2021-02-11 (NLC) 
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 NLC2020-30

Conference Information
Committee NLC  
Conference Date 2021-02-18 - 2021-02-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) The 17th Text Analytics Symposium 
Paper Information
Registration To NLC 
Conference Code 2021-02-NLC 
Language Japanese 
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  
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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)
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Speaker Author-1 
Date Time 2021-02-18 17:20:00 
Presentation Time 25 minutes 
Registration for NLC 
Paper # NLC2020-30 
Volume (vol) vol.120 
Number (no) no.374 
Page pp.43-48 
#Pages
Date of Issue 2021-02-11 (NLC) 


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