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Exploring Future Signals in Abandoned Mine Regions Using Text Mining Techniques

  • Journal of Asia-Pacific Studies
  • Abbr : JAPS
  • 2026, 33(2), pp.151~184
  • DOI : 10.18107/japs.2026.33.2.005
  • Publisher : Institute of Global Affairs
  • Research Area : Social Science > Social Science in general
  • Received : May 6, 2026
  • Accepted : May 30, 2026
  • Published : June 30, 2026

Choi Yunseo 1 노승국 2

1계명대학교 여성학연구소
2경찰대학 치안대학원

Accredited

ABSTRACT

ABSTRACT: This study aims to explore changes in discourse and future signals related to abandoned mine regions by analyzing 9,898 Naver online news articles published between January 1, 2021, and December 31, 2025. The analysis employs TF-IDF, Degree of Visibility (DoV), Degree of Diffusion (DoD), and time-weighted Keyword Emergence Map (KEM) and Keyword Issue Map (KIM). The results show that “Kangwon Land” appeared as the most prominent keyword throughout the entire period, while keywords such as “projects,”“tourism,”“support,”and “development” were also repeatedly identified. This indicates that the existing path centered on casinos, tourism, and regional development funds continues to strongly structure the discourse on abandoned mine regions. According to the KEM and KIM analyses, “mining operations,” “population,” and “transition” were identified as strong signals, while “Dogye-eup,” “regional disappearance,” “Jangseong,” “manufacturing,” “recovery,” and “vitality” were classified as weak signals. These results suggest that the discourse on abandoned mine regions maintains path dependency centered on support and development, while also expanding place-based transition agendas in connection with the renaming of abandoned mine regions as coal industry transition regions, mine closures, responses to regional disappearance, and discussions on industrial diversification. However, weak signals are not designed to directly verify policy performance or local living-condition changes; rather, they work as exploratory indicators that capture the potential for issue formation within news reports. Therefore, follow-up verification is required by combining regional media, local council and budget data, employment and population indicators, project performance indicators, and interviews with residents.

Citation status

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