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dc.contributor.authorOrduña-Malea, Enrique
dc.contributor.authorCabezas-Clavijo, Álvaro
dc.date2023
dc.date.accessioned2024-05-16T07:13:13Z
dc.date.available2024-05-16T07:13:13Z
dc.identifier.citationOrduña-Malea, E., Cabezas-Clavijo, Á. ChatGPT and the potential growing of ghost bibliographic references. Scientometrics 128, 5351–5355 (2023). https://doi.org/10.1007/s11192-023-04804-4es_ES
dc.identifier.issn1588-2861
dc.identifier.issn0138-9130
dc.identifier.urihttps://reunir.unir.net/handle/123456789/16593
dc.description.abstractThis letter warns about the identification of research publications available online that contain references to non-existent papers (ghost bibliographic references). This is likely to happen due to the use of ChatGPT, a LLM-based (Large-Language Models) chatbot which generates plausible but fake bibliographic references. Although the magnitude of the problem is still unknown (it could affect only preprint platforms, predatory journals, or poor-quality publication venues) and it is expected that ChatGPT would provide true references in a short period of time, both journals and publishers must be vigilant to prevent fake references from flooding their pages.es_ES
dc.language.isoenges_ES
dc.publisherScientometricses_ES
dc.relation.ispartofseries;vol. 128
dc.relation.urihttps://link.springer.com/article/10.1007/s11192-023-04804-4es_ES
dc.rightsrestrictedAccesses_ES
dc.subjectscience studieses_ES
dc.subjectmachine learninges_ES
dc.subjectscientific publicationses_ES
dc.subjectghost referenceses_ES
dc.subjectChatGPTes_ES
dc.subjectSCOPUSes_ES
dc.subjectJCRes_ES
dc.titleChatGPT and the potential growing of ghost bibliographic referenceses_ES
dc.typeArticulo Revista Indexadaes_ES
reunir.tag~ARIes_ES
dc.identifier.doihttps://doi.org/10.1007/s11192-023-04804-4


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