Lee Jungyeoun
| 2026, 26(1)
| pp.1~13
| number of Cited : 0
This study analyzes the research trends and thematic structure of oral history studies in Korea using a text mining‒based approach. The dataset consists of 922 journal articles published between 2002 and 2025 in journals under the Korean Citation Index (KCI). The study combines descriptive statistics on journal and disciplinary distributions with diachronic analysis of author-assigned keywords, keyword co-occurrence network analysis, and Term Frequency-Inverse Document Frequency (TF–IDF) analysis of article titles and abstracts.
The results show that oral history research in Korea originated within the field of history and has progressively expanded across diverse academic disciplines. Research themes have evolved from methodological foundations to memory-centered interpretations and, more recently, to practice-oriented concerns, such as public engagement, records, and social utilization. The thematic structure is organized into seven major clusters: the historicization of modern and contemporary Korean testimonies, oral life histories, the reconstruction of traumatic memory, oral tradition and community memory, orality and folklore, public history, and migration and diaspora.
This study provides a quantitative overview of the accumulation and diversification of oral history research in Korea and demonstrates the usefulness of text mining and network-based approaches for trend analysis in the humanities.