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) |
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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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