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Paper Abstract and Keywords
Presentation 2021-01-18 11:20
Research on a Method for Discriminating Disinformation on SNS Using Machine Learning
Kanta Mori, Kenichi Nagaoka (NIT, Ishikawa Col.) IN2020-43
Abstract (in Japanese) (See Japanese page) 
(in English) There are situations in which users have to select reliable information from a huge amount of information with the spread of SNS (Social Networking Service),
In this study, we collected tweets related to specific keywords from Twitter, which is one of the representative SNS, and created a training data set labeled in 3 classes of “Real, Fake and Other”. Furthermore, we propose a method for automatically classifying by machine learning.
From the results of the judgment rate obtained by our proposed method, it was found that automatic classification can be performed in general, and the classification accuracy by BERT using text information is particularly high. In addition, we investigated what kind of tweet features have a large effect on the judgment rate, and clarified that the number of follows/followers and the number of likes are particularly important.
Keyword (in Japanese) (See Japanese page) 
(in English) Social Media / Twitter / Discrimination False Information / Machine Learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 311, IN2020-43, pp. 13-17, Jan. 2021.
Paper # IN2020-43 
Date of Issue 2021-01-11 (IN) 
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 IN2020-43

Conference Information
Committee IN  
Conference Date 2021-01-18 - 2021-01-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Contents Distribution, Social Networking Services, Data Analytics and Processing Platform, Big data, etc. 
Paper Information
Registration To IN 
Conference Code 2021-01-IN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Research on a Method for Discriminating Disinformation on SNS Using Machine Learning 
Sub Title (in English)  
Keyword(1) Social Media  
Keyword(2) Twitter  
Keyword(3) Discrimination False Information  
Keyword(4) Machine Learning  
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1st Author's Name Kanta Mori  
1st Author's Affiliation National Institute of Technology, Ishikawa College (NIT, Ishikawa Col.)
2nd Author's Name Kenichi Nagaoka  
2nd Author's Affiliation National Institute of Technology, Ishikawa College (NIT, Ishikawa Col.)
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Speaker Author-1 
Date Time 2021-01-18 11:20:00 
Presentation Time 25 minutes 
Registration for IN 
Paper # IN2020-43 
Volume (vol) vol.120 
Number (no) no.311 
Page pp.13-17 
#Pages 5 
Date of Issue 2021-01-11 (IN) 

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