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Paper Abstract and Keywords
Presentation 2026-03-04 15:55
User-Attribute-Based Analysis of Acceptance of Content Provenance Presentation for Countering Dis/Misinformation
Yasuhiro Murasaki (NHK) SITE2025-100 IA2025-99
Abstract (in Japanese) (See Japanese page) 
(in English) Content provenance technologies that attach verifiable information such as content origin and editing history have attracted attention as a countermeasure against dis/misinformation. This study conducted a web survey of 2,000 viewers of TV programs and video content under both everyday / emergency scenarios, and examined the relationships between acceptance of content provenance presentation (sense of reassurance, preference for provenance-attached content, and display requirements) and user attributes as well as behavioral tendencies to take some action when encountering dis/misinformation. In addition to exploratory stratified analyses by IT-related work/education experience and age groups, we examined associations between primary media use in everyday settings (TV vs. social media) and trusted information sources and response behaviors in emergencies. We then performed logistic regression analyses using user attributes, media use, and response behaviors as independent variables and acceptance measures as dependent variables. The results suggest that acceptance may vary not only by user attributes but also in connection with response behaviors. Since provenance information does not substitute for truth verification but rather supports users’ judgment by presenting verifiable provenance, our findings provide baseline evidence for designing both what to present and how to present it.
Keyword (in Japanese) (See Japanese page) 
(in English) Dis/Misinformation / Content Provenance / C2PA / Acceptability / Web survey / Logistic regression analysis / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 378, SITE2025-100, pp. 156-164, March 2026.
Paper # SITE2025-100 
Date of Issue 2026-02-24 (SITE, IA) 
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 SITE2025-100 IA2025-99

Conference Information
Committee IA SITE IPSJ-IOT  
Conference Date 2026-03-03 - 2026-03-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Industry Support Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Internet and Information Ethics Education, etc. 
Paper Information
Registration To SITE 
Conference Code 2026-03-IA-SITE-IOT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) User-Attribute-Based Analysis of Acceptance of Content Provenance Presentation for Countering Dis/Misinformation 
Sub Title (in English)  
Keyword(1) Dis/Misinformation  
Keyword(2) Content Provenance  
Keyword(3) C2PA  
Keyword(4) Acceptability  
Keyword(5) Web survey  
Keyword(6) Logistic regression analysis  
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Keyword(8)  
1st Author's Name Yasuhiro Murasaki  
1st Author's Affiliation Japan Broadcasting Corporation (NHK)
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Speaker Author-1 
Date Time 2026-03-04 15:55:00 
Presentation Time 25 minutes 
Registration for SITE 
Paper # SITE2025-100, IA2025-99 
Volume (vol) vol.125 
Number (no) no.378(SITE), no.379(IA) 
Page pp.156-164 
#Pages 9 
Date of Issue 2026-02-24 (SITE, IA) 

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