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Exploring Latent Demand for Public Libraries through Civil Complaints and YouTube Comments

  • Journal of the Korean Society for Library and Information Science
  • 2025, 59(3), pp.203~232
  • Publisher : 한국문헌정보학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : July 21, 2025
  • Accepted : August 11, 2025
  • Published : August 31, 2025

Yoon Myung Hee 1 Kang keun young 2

1연세대학교 대학도서관발전연구소
2연세대학교

Excellent Accredited

ABSTRACT

This study explores discovering latent library service demands through unstructured data analysis. We analyzed 8,186 civil complaints and 1,993 YouTube comments from 2024 using sentence-BERT embedding and clustering techniques. Five clusters from complaints and four from comments were integrated into five user segments: emotional empathy, information seeking, information needs and communication, institutional utilization, and civic participation types. These segments revealed complex motivations including identity formation, sense of belonging, and civic engagement beyond simple information needs. This exploratory study demonstrates the potential for identifying latent public library demand through online data analysis, suggesting information needs-based segmentation can enable targeted service strategies beyond traditional demographic approaches.

Citation status

* References for papers published after 2024 are currently being built.

This paper was written with support from the National Research Foundation of Korea.