Replicable prompt engineering model for scientific literature retrieval with ChatGPT
DOI:
https://doi.org/10.5007/1518-2924.2026.e109140Keywords:
Generative artificial intelligence, prompt engineering, information retrieval, university libraries, open scienceAbstract
The expansion of generative artificial intelligence has transformed scientific literature retrieval processes, creating opportunities for greater efficiency and accessibility while raising concerns regarding verifiability, rigor, and the generation of fabricated references in academic contexts. In Library and Information Science, a methodological gap persists concerning replicable protocols capable of evaluating the operational performance of these tools in bibliographic searches.
Objective: This study aimed to assess the efficacy of ChatGPT, GPT-5.2 model, in the ChatGPT Plus environment, through a structured prompt engineering protocol applied to nine controlled searches conducted in February 2026 across three geographic levels: global, Latin American, and Chilean.
Method: An exploratory–descriptive documentary design was adopted, predominantly quantitative with a complementary interpretative component, operationalizing dichotomous indicators of precision, traceability, conceptual coherence, and temporal efficiency, alongside manual validation of DOI or URL.
Results: The final corpus consolidated 130 unique verified references, with no hallucinated records after protocol implementation and with 100 percent conceptual coherence and traceability across all zones. Average response times ranged from 14 to 22 minutes per search.
Conclusions: The findings demonstrate that prompt engineering under explicit methodological control can mitigate risks documented in the literature, provide a replicable model for university libraries, and offer a substantive contribution to systematic literature mapping and the grounded identification of knowledge gaps and research voids at multiple geographic levels.
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References
ALANIZ, L.; VU, C.; PFAFF, M. J. The utility of artificial intelligence for systematic reviews and Boolean query formulation and translation. Plastic and Reconstructive Surgery Global Open, v. 11, n. 10, e5339, 2023. DOI: 10.1097/GOX.0000000000005339. Disponible en: https://doi.org/10.1097/GOX.0000000000005339. Consultado el: 4 abr. 2026.
ALSHAMI, A.; ELSAYED, M.; ALI, E.; ELTOUKHY, A. E.; ZAYED, T. Harnessing the power of ChatGPT for automating systematic review process: methodology, case study, limitations, and future directions. Systems, Basel, v. 11, n. 7, p. 351, 2023. DOI: 10.3390/systems11070351. Disponible en: https://doi.org/10.3390/systems11070351. Consultado el: 4 abr. 2026.
ARIZA RUIZ, E. D. ChatGPT: una mirada desde la investigación. Revista Investigaciones Andina, Bogotá, v. 25, n. 46, p. 24–39, 2023. DOI: 10.33132/01248146.2256. Disponible en: https://doi.org/10.33132/01248146.2256. Consultado el: 4 abr. 2026.
BALDRICH DOMÍNGUEZ-OLLER, S. La inteligencia artificial y su impacto en la alfabetización académica: una revisión sistemática. Educatio Siglo XXI, Murcia, v. 42, n. 1, p. 55–74, 2024. DOI: 10.6018/educatio.609591. Disponible en: https://doi.org/10.6018/educatio.609591. Consultado el: 4 abr. 2026.
BLUM, M. ChatGPT produces fabricated references and falsehoods when used for scientific literature search. Journal of Cardiac Failure, v. 29, n. 9, p. 1332–1334, 2023. DOI: 10.1016/j.cardfail.2023.06.015. Disponible en: https://doi.org/10.1016/j.cardfail.2023.06.015. Consultado el: 4 abr. 2026.
BRASIL. Ministério da Saúde. Conselho Nacional de Saúde. Resolução n.º 510, de 7 de abril de 2016. Establece las normas aplicables a investigaciones en Ciencias Humanas y Sociales. Diário Oficial da União: sección 1, Brasilia, DF, 24 de mayo de 2016. Disponible en: https://www.gov.br/conselho-nacional-de-saude/pt-br/atos-normativos/resolucoes/2016/resolucao-no-510.pdf/view. Consultado el: 19 sep. 2025.
CAMACHO TAMBASCO, J. El impacto de la inteligencia artificial en la educación: riesgos y potencialidades de la IA en el aula. Revista Interuniversitaria de Investigación en Tecnología Educativa, Murcia, v. 16, n. 1, p. 1–15, 2023. DOI: 10.6018/riite.584501. Disponible en: https://doi.org/10.6018/riite.584501. Consultado el: 4 abr. 2026.
CHELLI, M.; KHALFI, L.; RODRÍGUEZ, L.; TEJADA-LLACSA, P. J.; AUGEREAU, O. Hallucination rates and reference accuracy of ChatGPT and Bard for systematic reviews: comparative analysis. Journal of Medical Internet Research, Toronto, v. 26, e53164, 2024. DOI: 10.2196/53164. Disponible en: https://doi.org/10.2196/53164. Consultado el: 4 abr. 2026.
CHILE. Ministerio de Ciencia, Tecnología, Conocimiento e Innovación. Política Nacional de Inteligencia Artificial. Santiago de Chile: MINCIENCIA, 2024. Disponible en: https://minciencia.gob.cl/areas/inteligencia-artificial/politica-nacional-de-inteligencia-artificial/. Consultado el: 19 sep. 2025.
JI, Ziwei; LEE, Nayeon; FRIESKE, Rita; YU, Tiezheng; SU, Dan; XU, Yan; ISHII, Etsuko; BANG, Yejin; CHEN, Delong; DAI, Wenliang; CHAN, Ho Shu; MADOTTO, Andrea; FUNG, Pascale. Survey of hallucination in natural language generation. ACM Computing Surveys, New York, v. 55, n. 12, p. 1–38, 2023. DOI: 10.1145/3571730. Disponible en: https://doi.org/10.1145/3571730. Consultado el: 1 abr. 2026.
LEE, Y.; OH, J. H.; LEE, D.; KANG, M.; LEE, S. Prompt engineering in ChatGPT for literature review: practical guide exemplified with studies on white phosphors. Scientific Reports, v. 15, n. 1, p. 15310, 2025. DOI: 10.1038/s41598-025-99423-9. Disponible en: https://doi.org/10.1038/s41598-025-99423-9. Consultado el: 4 abr. 2026.
MAHRISHI, M.; ABBAS, A.; RADOVANOVIĆ, D. Emerging dynamics of ChatGPT in academia: a scoping review. Journal of University Teaching and Learning Practice, Wollongong, v. 21, n. 3, p. 1–19, 2024. DOI: 10.53761/b182ws13. Disponible en: https://doi.org/10.53761/b182ws13. Consultado el: 4 abr. 2026.
MOSTAFAHPOUR, M.; FORTIER, J. H.; PACHECO, K.; MURRAY, H.; GARBER, G. Evaluating literature reviews conducted by humans versus ChatGPT: comparative study. JMIR AI, v. 3, e56537, 2024. DOI: 10.2196/56537. Disponible en: https://doi.org/10.2196/56537. Consultado el: 4 abr. 2026.
NAVAS-MARTÍN, M. A.; CUERDO-VILCHES, T. Discurso grupal basado en narrativas generadas por inteligencia artificial como metodología activa en la enseñanza en arquitectura. Advances in Building Education, Madrid, v. 8, n. 1, p. 59–74, 2024. DOI: 10.20868/abe.2024.1.5234. Disponible en: https://doi.org/10.20868/abe.2024.1.5234. Consultado el: 4 abr. 2026.
OPENAI. Introducing deep research. 2025. Disponible en: https://openai.com/index/introducing-deep-research/. Consultado el: 13 feb. 2026.
PARISI, V.; SUTTON, A. The role of ChatGPT in developing systematic literature searches: an evidence summary. Journal of EAHIL, Roma, v. 20, n. 2, p. 30–34, 2024. DOI: 10.32384/jeahil20623. Disponible en: https://doi.org/10.32384/jeahil20623. Consultado el: 4 abr. 2026.
RUIZ MENDOZA, K. K.; PEDROZA ZÚÑIGA, L. H. Uso de ChatGPT como ayudante en una RSL con el método PRISMA. Sciencevolution, México, v. 2, n. 10, p. 9–17, 2024. DOI: 10.61325/ser.v2i10.81. Disponible en: https://doi.org/10.61325/ser.v2i10.81. Consultado el: 4 abr. 2026.
SAHOO, P.; SINGH, A. K.; SAHA, S.; JAIN, V.; MONDAL, S.; CHADHA, A. A systematic survey of prompt engineering in large language models: techniques and applications. arXiv, 2024. DOI: 10.48550/arXiv.2402.07927. Disponible en: https://doi.org/10.48550/arXiv.2402.07927. Consultado el: 4 abr. 2026.
SERCOMBE, J.; BRYANT, Z.; WILSON, J. Evaluating a customized version of ChatGPT for systematic review data extraction in health research: development and usability study. JMIR Formative Research, v. 9, e68666, 2025. DOI: 10.2196/68666. Disponible en: https://doi.org/10.2196/68666. Consultado el: 02 abr. 2026.
UNIVERSIDAD DE LAS AMÉRICAS (Chile). Marco para el uso de la inteligencia artificial en UDLA: docencia, investigación y vinculación con el medio. Santiago de Chile: Universidad de Las Américas, 2025. Serie: Documentos para la formación del cuerpo académico en IA. Disponible en: https://www.udla.cl/descargas/normativas/marco-para-uso-ia-en-udla.pdf. Consultado el: 1 oct. 2025.
WALTERS, William H.; WILDER, Esther Isabelle. Fabrication and errors in the bibliographic citations generated by ChatGPT. Scientific Reports, [S. l.], v. 13, n. 1, art. 14045, 2023. DOI: 10.1038/s41598-023-41032-5. Disponible en: https://doi.org/10.1038/s41598-023-41032-5. Consultado el: 5 abr. 2026.
WANG, S.; SCELLS, H.; KOOPMAN, B.; ZUCCON, G. Can ChatGPT write a good Boolean query for systematic review literature search? En: INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, 46., 2023, Taipei. Proceedings [...]. New York: ACM, 2023. p. 1426–1436. DOI: 10.1145/3539618.3591703. Disponible en: https://doi.org/10.1145/3539618.3591703. Consultado el: 4 abr. 2026.
WILKINSON, C.; OPPERT, M.; OWEN, M. Investigating academics’ attitudes towards ChatGPT: a qualitative study. Australasian Journal of Educational Technology, Sydney, v. 40, n. 1, p. 142–156, 2024. DOI: 10.14742/ajet.9456. Disponible en: https://doi.org/10.14742/ajet.9456. Consultado el: 4 abr. 2026.
ZHOU, D.; ZHANG, Y. Political biases and inconsistencies in bilingual GPT models: the cases of the U.S. and China. Scientific Reports, London, v. 14, n. 13489, 2024. DOI: 10.1038/s41598-024-76395-w. Disponible en: https://doi.org/10.1038/s41598-024-76395-w. Consultado el: 4 abr. 2026.
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