Abstract:  [Purpose/Significance] This study reviews the adoption and influence of machine learning algorithms in information science research, providing reference for scholars to better use these algorithms to solve relevant problems. [Design/Methodology] This study mainly uses the content analysis method.We choose 16 journals in CSSCI in the field of library and information science as data sources, manually encode machine learning algorithms' name, analyze usage frequencies, usage evolution, document type distribution and research field distribution of algorithms, finally reveal their influences on information science research. [Findings/Conclusion] The adoption of algorithms in information science research is early, and has flourished since 2016; the top 5 machine learning algorithms with upward trends are SVM, K-means, CNN, BERT, BiLSTM, machine learning algorithms are mainly applied in information processing, information analysis, information service and knowledge service, information metrology. Adoption of machine learning algorithms are closely related to growth, development and expansion of information science research, which are the focus, entry point and key point of conflict resolution at these stages. [Originality/Value] This study reveals adoption of machine learning algorithms and their influences on information science research in China.

Keywords: Machine learning, Information science research, Content analysis, Using characters of algorithms, Field distribution