Analysis of Research Trends in Addiction Using Text Mining -Focusing on the Keyword ‘Addiction’-

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Key Points

This research aims to objectively analyze addiction research trends from 2013 to September 2025 using text mining.
Analyzed 1,504 abstracts from KCI-indexed journals using text mining techniques.
Conducted keyword frequency analysis to identify prominent themes in addiction research.
Utilized topic modeling to extract five core topics related to addiction and its social context.
Internet addiction research accounts for approximately 63% of the analyzed studies, with less focus on traditional addictions like alcohol and gambling.
Top keywords included 'addiction', 'research', 'smartphone', 'influence', and 'relationships', highlighting the impact of digital media.
The study revealed core topics such as digital addiction among youth and the social consequences of addiction, suggesting a comprehensive exploration of psychological mechanisms.

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Text mining identifies trends in addiction research, emphasizing digital influences and psychological factors.

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Lee et al. (2026) studied this question.

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