Tracing the shift in the social discourse on youth drug issues: A comparative big data analysis of news coverage from the 2010s and early 2020s

Objectives: This study investigates the manner in which substance abuse among the youth has been socially perceived and discussed in South Korea by comparing news media discourse across two periods: 2013–2015 and 2023–2025. Methods: Using a big data approach, news articles were collected and analyzed via Term Frequency–Inverse Document Frequency (TF-IDF) and Latent Dirichlet Allocation (LDA) topic modeling to detect keyword salience and latent thematic structures. Results: Media discourse in the early 2010s emphasized law enforcement and reactive responses. By contrast, coverage from the early 2020s reflected a shift toward diversified drug distribution via digital platforms, focusing on issues such as increasing misuse of medical drugs and rising socio-economic vulnerability among youth. Policy discourse has also evolved, moving from punitive control to integrated approaches involving prevention, treatment, and education. Conclusion: The findings reveal a structural transformation in the framing of youth drug issues, highlighting the need for multi-agency collaboration. A balanced response strategy combining enforcement with early intervention and recovery support is essential. This study offers empirical insights to inform the development of evidence-based and prevention-oriented drug policy.

Authors

Publication Details

Journal
Korean Journal of Health Education and Promotion
Published
2025-09-30
DOI
https://doi.org/10.14367/kjhep.2025.42.3.1
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
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article

Tracing the shift in the social discourse on youth drug issues: A comparative big data analysis of news coverage from the 2010s and early 2020s

Soojin Yoon, Aeree Sohn
Korean Journal of Health Education and Promotion
Computational and Text Analysis Methods
article

Tracing the shift in the social discourse on youth drug issues: A comparative big data analysis of news coverage from the 2010s and early 2020s

Soojin Yoon, Aeree Sohn
article en

Abstract

Objectives: This study investigates the manner in which substance abuse among the youth has been socially perceived and discussed in South Korea by comparing news media discourse across two periods: 2013–2015 and 2023–2025. Methods: Using a big data approach, news articles were collected and analyzed via Term Frequency–Inverse Document Frequency (TF-IDF) and Latent Dirichlet Allocation (LDA) topic modeling to detect keyword salience and latent thematic structures. Results: Media discourse in the early 2010s emphasized law enforcement and reactive responses. By contrast, coverage from the early 2020s reflected a shift toward diversified drug distribution via digital platforms, focusing on issues such as increasing misuse of medical drugs and rising socio-economic vulnerability among youth. Policy discourse has also evolved, moving from punitive control to integrated approaches involving prevention, treatment, and education. Conclusion: The findings reveal a structural transformation in the framing of youth drug issues, highlighting the need for multi-agency collaboration. A balanced response strategy combining enforcement with early intervention and recovery support is essential. This study offers empirical insights to inform the development of evidence-based and prevention-oriented drug policy.

Korean Journal of Health Education and PromotionVol. 42(3)
Openalex Percentile: Top 59%
Computational and Text Analysis Methods
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