Study of Information Literacy Based on Journal Article Data

This thesis takes CNKI database as a platform to make research on information literacy. It makes literature research and applies relevant analytic methods like social network analysis, bibliometrics methods, statistics, and entropy methods to make statistical treatment on journal papers, academic dissertations, conference papers, and newspaper articles related to information literacy, published from 2010 to 2019 in China. Based on the analysis of CNKI quantitative visual retrieval results, this thesis makes an in-depth analysis from six aspects: the number of papers published, the organization and region of the papers, the distribution of research levels, the high-frequency keywords, the distribution of disciplines and the distribution of authors, and puts forward relevant suggestions for the existing problems. The results indicate that in the rapidly developing information society, people only concerns about the mastery of information knowledge in the field of information literacy research, lack of research on information awareness, information ability, and information morality. There should be more improvement and researches on individuals' sensitivity to information, which is the cultivation of information awareness, the collection of information and the moral cultivation of obtaining information.