Abstract

The aim of this study is to identify research trends related to information technology and artificial intelligence and to analyze changes in these trends over time. To conduct the research, we utilized the Web of Science (WoS) database and collected a total of 4,233 articles from 2011 to June 2024, performing a bibliographic mapping analysis. To observe changes over time, the data was divided into three periods: Period 1 (2011-2015), Period 2 (2016-2020), and Period 3 (2021-June 2024). The analysis revealed that clusters such as ‘academic library,’ ‘information literacy,’ and ‘librarian’ were of consistent interest throughout the entire period. In Period 1, a Web 2.0 cluster emerged, composed of keywords such as Library 2.0, Web 2.0, and social media. In Period 2, the ‘bibliometrics’ cluster expanded significantly, and keywords like ‘big data’ and ‘deep learning’ began to appear. In Period 3, new clusters such as ‘artificial intelligence,’ ‘machine learning,’ and ‘COVID-19’ emerged, highlighting these as key research topics.