A Bibliometric Analysis and Latent Dirichlet Allocation Topic Modelling of Digital Literacy in Education, 2006-2025

Abstract

Digital Literacy (DL) has emerged as a pivotal competence for individuals to embrace the digital era with the rapidly advancing information and technologies. This paper uses bibliometrics and topic modeling to examine 1,421 research articles on DL in education published in the Web of Science from 2006 to 2025, encompassing annual publication trends, relevant sources, countries, research topics, and trends. Key findings displayed that studies on DL have clocked staggering growth, with the United States and the United Kingdom contributing the most in this field. Additionally, the author used latent Dirichlet allocation (LDA) topic modeling and keyword analysis to depict the 12 latent topics in DL, discussed the plausible reasons for these varied patterns, and proposed implications based on the research findings.