"Hey Google, Help Me do a Citation Analysis": Incorporating AI in the Citation Analysis Process to Identify Resources and Resource Types.
Citation Analysis is a use-based methodology that provides insight and can inform librarians' collection decisions. However, citation analysis can be labor-intensive and time-consuming. In addition, it primarily focuses on traditional library materials such as books, journals, book chapters, and con...
| Publicado en: | Portal: Libraries & the Academy Vol. 26; no. 3; pp. 461 - 495 |
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| Autores principales: | , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Johns Hopkins University Press
Jul2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=195904716&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 195904716 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15312542 F9N jtl: Portal: Libraries & the Academy issn: 15312542 maglogo: N pubinfo: dt: Jul2026 vid: 26 iid: 3 pid: 226 pub: Johns Hopkins University Press place: Baltimore, Maryland artinfo: ui: 195904716 195904716 195904716 10.1353/pla.2026.a994915 195904716 ppf: 461 ppct: 34 formats: tig: atl: "Hey Google, Help Me do a Citation Analysis": Incorporating AI in the Citation Analysis Process to Identify Resources and Resource Types. aug: au: Park, Sarah G. Romero, Lisa sug: subj: Citation Analysis Artificial Intelligence Utilization Collection Development Libraries, Academic Librarians Data Quality Evaluation Human Natural Language Processing Information Storage Books Serial Publications Bibliography and References Database Management Software Reproducibility of Results Descriptive Statistics Data Analysis Software Funding Source ab: Citation Analysis is a use-based methodology that provides insight and can inform librarians' collection decisions. However, citation analysis can be labor-intensive and time-consuming. In addition, it primarily focuses on traditional library materials such as books, journals, book chapters, and conference proceedings, while often overlooking materials such as datasets, software, government documents, media, performances, and so on. This study integrates artificial intelligence (AI) in the citation analysis process to label citations according to resource type so that librarians might identify what resources scholars are using and citing. In addition to describing how to integrate AI into citation analysis, the authors evaluate the methodology's success, with an overall accuracy score of 97.16 percent. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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