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

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.

Abstract