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Paper Abstract and Keywords
Presentation 2016-09-14 10:00
Relation between Usual Interests and Reacted News of Twitter Users
Tenyu Kawaguchi, Taketoshi Ushiama (Kyushu Univ.) DE2016-18
Abstract (in Japanese) (See Japanese page) 
(in English) With the spread of SNS in recent years, the mass media such as newspaper offices came to distribute news articles positively through SNS. For example, in Twitter, the users can react to the news by “Like” or “Retweet”. The number of these reactions is often used as an index of the attention degree of the news provided in SNS. However, the number of “Like” may not reflect the attention degree of the public because the users is not distinguished. This paper pays attention to not only the number of the reactions but also the relation between the usual interests and the reacted news of Twitter users. And this paper report that the attention degree of the news can be divided into two kinds by extracting of the users’ usual interest from their tweets and that the news classifications based on these new attention degrees.
Keyword (in Japanese) (See Japanese page) 
(in English) SNS / Twitter / News / Mass Media / User / Reaction / Attention Degree / Interest  
Reference Info. IEICE Tech. Rep., vol. 116, no. 214, DE2016-18, pp. 37-42, Sept. 2016.
Paper # DE2016-18 
Date of Issue 2016-09-06 (DE) 
ISSN Print edition: ISSN 0913-5685    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 DE2016-18

Conference Information
Committee DE  
Conference Date 2016-09-13 - 2016-09-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Keio Univ. (Hiyoshi Campus) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Big Data Management, Information Retrieval, Knowledge Discovery, etc. 
Paper Information
Registration To DE 
Conference Code 2016-09-DE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Relation between Usual Interests and Reacted News of Twitter Users 
Sub Title (in English)  
Keyword(1) SNS  
Keyword(2) Twitter  
Keyword(3) News  
Keyword(4) Mass Media  
Keyword(5) User  
Keyword(6) Reaction  
Keyword(7) Attention Degree  
Keyword(8) Interest  
1st Author's Name Tenyu Kawaguchi  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Taketoshi Ushiama  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
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Speaker Author-1 
Date Time 2016-09-14 10:00:00 
Presentation Time 30 minutes 
Registration for DE 
Paper # DE2016-18 
Volume (vol) vol.116 
Number (no) no.214 
Page pp.37-42 
#Pages 6 
Date of Issue 2016-09-06 (DE) 

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