Representativeness of South Korea’s AI policy preprint citation trend across domestic repositories

Determine whether the preprint citation trend observed for South Korea in Web of Science-indexed AI policy publications is representative of citation behavior across Korean-language and Korea-hosted scholarly repositories (e.g., RISS, KCI, DBPIA), or whether the observed trend is an artifact of increased publication in US-indexed venues and reliance on arXiv.

Background

The paper’s dataset is drawn from Web of Science, which may underrepresent Korean-language publications and domestic repositories. This limitation raises the possibility that South Korea’s observed preprint citation patterns reflect selection effects rather than country-wide behavior.

Clarifying representativeness requires cross-platform, multilingual bibliometric comparisons to validate whether trends hold outside US-indexed venues.