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Paper Abstract and Keywords
Presentation 2026-03-17 11:15
A Method for Estimating the Latent Relevance of Crime-Related Keywords Based on an Analysis of Long-Term Search Trends
Haruka Seki, Kazuki Nakajima (Tokyo Metropolitan Univ.), Chisa Takano (Hiroshima City Univ.), Masaki Aida (Tokyo Metropolitan Univ.) CCS2025-60
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, the use of coded language by anonymous and fluid criminal groups on SNS and online platforms has made it difficult to detect crimes until after harm becomes apparent.
Therefore, there is a growing need for methods to capture early signs of societal attention toward such crime-related terms.
In this paper, we propose an analytical framework that positions search behavior as an indicator of online user dynamics, focusing on low-frequency components of Google Trends time series.
By applying low-frequency analysis, we extract long-term changes in interest while suppressing short-term fluctuations and evaluate latent relationships among keywords through correlation analysis.
Our results show that for certain keywords, low-frequency components exhibit sustained increases even before they gain widespread social attention.
Furthermore, this approach reveals keyword associations difficult to capture through rapid spikes in search volume, suggesting its effectiveness for capturing latent societal interest and exploring newly emerging criminal terms.
Keyword (in Japanese) (See Japanese page) 
(in English) search trends / Google Trends / crime-related code words / low-frequency analysis / spectrum analysis / correlation analysis / early detection /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 416, CCS2025-60, pp. 35-40, March 2026.
Paper # CCS2025-60 
Date of Issue 2026-03-10 (CCS) 
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 CCS2025-60

Conference Information
Committee CCS  
Conference Date 2026-03-17 - 2026-03-18 
Place (in Japanese) (See Japanese page) 
Place (in English) RUSUTSU RESORT 
Topics (in Japanese) (See Japanese page) 
Topics (in English) CCS, etc. 
Paper Information
Registration To CCS 
Conference Code 2026-03-CCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Method for Estimating the Latent Relevance of Crime-Related Keywords Based on an Analysis of Long-Term Search Trends 
Sub Title (in English)  
Keyword(1) search trends  
Keyword(2) Google Trends  
Keyword(3) crime-related code words  
Keyword(4) low-frequency analysis  
Keyword(5) spectrum analysis  
Keyword(6) correlation analysis  
Keyword(7) early detection  
Keyword(8)  
1st Author's Name Haruka Seki  
1st Author's Affiliation Tokyo Metropolitan University (Tokyo Metropolitan Univ.)
2nd Author's Name Kazuki Nakajima  
2nd Author's Affiliation Tokyo Metropolitan University (Tokyo Metropolitan Univ.)
3rd Author's Name Chisa Takano  
3rd Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
4th Author's Name Masaki Aida  
4th Author's Affiliation Tokyo Metropolitan University (Tokyo Metropolitan Univ.)
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Speaker Author-1 
Date Time 2026-03-17 11:15:00 
Presentation Time 20 minutes 
Registration for CCS 
Paper # CCS2025-60 
Volume (vol) vol.125 
Number (no) no.416 
Page pp.35-40 
#Pages 6 
Date of Issue 2026-03-10 (CCS) 

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