arXiv — NLP / Computation & Language · · 3 min read

Usage frequency and application variety of research methods in library and information science: Continuous investigation from 1991 to 2021

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Computer Science > Digital Libraries

arXiv:2606.31081 (cs)
[Submitted on 30 Jun 2026]

Title:Usage frequency and application variety of research methods in library and information science: Continuous investigation from 1991 to 2021

View a PDF of the paper titled Usage frequency and application variety of research methods in library and information science: Continuous investigation from 1991 to 2021, by Chengzhi Zhang and 2 other authors
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Abstract:The present study analyzed over 26,000 research articles published between 1991 and 2021 in twenty-one major LIS (Library and Information Science) journals, using the machine learning (ML) approach to categorize the research methods used by LIS scholars. The findings of this study are significant. Firstly, there has been a shift in the research strategy from conceptual research (e.g., "Theoretical approach") to empirical research (e.g., "Interview") in LIS investigations over the past 31 years. Secondly, the research topics explored by LIS scholars during this period have moved from system-centered issues (e.g., "Information retrieval/models and algorithms") to user-centered topics (e.g., "Information services "). Thirdly, the study revealed dynamic and revealing relationships between the 18 research topics identified in the study and the 16 research methods commonly adopted in the LIS field. These dynamic relationships can be visualized by year and longitudinally via an interactive map created in this study.
Subjects: Digital Libraries (cs.DL); Computation and Language (cs.CL); Information Retrieval (cs.IR)
Cite as: arXiv:2606.31081 [cs.DL]
  (or arXiv:2606.31081v1 [cs.DL] for this version)
  https://doi.org/10.48550/arXiv.2606.31081
arXiv-issued DOI via DataCite (pending registration)
Journal reference: IPM, 2023
Related DOI: https://doi.org/10.1016/j.ipm.2023.103507
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From: Chengzhi Zhang [view email]
[v1] Tue, 30 Jun 2026 03:15:48 UTC (2,016 KB)
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