Social Media and Logistics: Uncovering Challenges and Solutions Through YouTube Data

Hisatoshi Naganawa and Enna Hirata ()
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Hisatoshi Naganawa: Faculty of Ocean Science and Technology, Kobe University, Kobe 658-0022, Japan
Enna Hirata: Graduate School of Maritime Sciences, Kobe University, Kobe 658-0022, Japan

Logistics, 2025, vol. 9, issue 2, 1-21

Abstract: Background : Logistics challenges, such as driver shortages, are a major global issue, with many countries struggling to find effective solutions. YouTube, as a social networking platform, has a growing user base and is increasingly used not only for entertainment but also for social interaction, such as commenting, searching, and browsing, and it can thus potentially be used as an indicator of the topic under discussion. Methods : This study collects YouTube data containing keywords related to logistics issues—particularly the 2024 problem—and applies natural language processing (NLP) techniques to explore potential solutions. It is the first study to analyze both subtitle and comment data extracted from YouTube audio as large-scale text data in the field of logistics. Results : The analysis identified four primary areas of concern in logistics: time management, driver welfare, technological investment, and policy transparency. Sentiment analysis revealed a predominant negative sentiment in user discussions, highlighting dissatisfaction with current logistics policies and operations. Conclusions : The findings provide new insights that could inform the development of effective logistics policies and improve services for logistics companies while also proposing innovative research methods using NLP.

Keywords: logistics challenges; YouTube; NLP; video data mining; 2024 problem (search for similar items in EconPapers)
JEL-codes: L8 L80 L81 L86 L87 L9 L90 L91 L92 L93 L98 L99 M1 M10 M11 M16 M19 R4 R40 R41 R49 (search for similar items in EconPapers)
Date: 2025
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