Scopus AI Beta: functional analysis and cases

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• dc.contributor.author Aguilera Cora, Elisenda
• dc.contributor.author Lopezosa, Carlos
• dc.contributor.author Codina, Lluís
• dc.date.accessioned 2024-01-09T15:30:03Z
• dc.date.available 2024-01-09T15:30:03Z
• dc.date.issued 2024-01-09
• dc.description.abstract Academic databases are a fundamental source for identifying relevant literature in a field of study. Scopus contains more than 90 million records and indexes around 12,000 documents per day. However, this context and the cumulative nature of science itself make it difficult to selectively identify information. In addition, academic database search tools are not very intuitive, and require an iterative and relatively slow process of searching and evaluation. In response to these challenges, Elsevier has launched Scopus AI, currently in its Beta version. As the product is still under development, the current user experience is not representative of the final product. Scopus AI is an artificial intelligence that generates short synthesis of the documents indexed in the database, based on instructions or prompts. This study examines the interface and the main functions of this tool and explores it on the basis of three case studies. The functional analysis shows that the Scopus AI Beta interface is intuitive and easy to use. Elsevier's AI tool allows the researcher to obtain an overview of a problem, as well as to identify authors and approaches, in a more agile search session than conventional search. Scopus AI Beta is not a substitute for conventional search in all cases, but it is an accelerator of academic processes. It is a valuable tool for literature reviews, construction of theoretical frameworks and verification of relationships between variables, among other applications that are actually impossible to delimit.ca
• dc.description.sponsorship This publication is part of the methodological results of the project Parameters and strategies to increase the relevance of media and digital communication in society: curation, visualization and visibility (CUVICOM) PID2021-123579OB-I00, funded by the Ministry of Science and Innovation .
• dc.format.mimetype application/pdf*
• dc.identifier.citation Aguilera-Cora E, Lopezosa C, Codina L. Scopus AI Beta: functional analysis and cases. Barcelona: Universitat Pompeu Fabra, Departament de Comunicació, 2023. 46 p. (Serie Editorial DigiDoc. DigiDoc Reports).
• dc.identifier.uri http://hdl.handle.net/10230/58658
• dc.language.iso engca
• dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PID2021-123579OB-I00
• dc.rights This work is distributed under this Creative Commons licenseca
• dc.rights.accessRights info:eu-repo/semantics/openAccessca
• dc.subject.keyword Scopus AI Beta
• dc.subject.keyword artificial intelligence
• dc.subject.keyword academic research
• dc.subject.keyword academic databases
• dc.title Scopus AI Beta: functional analysis and casesca
• dc.type info:eu-repo/semantics/reportca
• dc.type.version info:eu-repo/semantics/publishedVersionca