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Article . 2023
License: CC BY SA
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Article . 2023
License: CC BY SA
Data sources: Datacite
ZENODO
Article . 2023
License: CC BY SA
Data sources: Datacite
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[Scientific integrity faces plagiarism fabricated with the ChatGPT]

La integridad científica ante los plagios fabricados con el ChatGPT
Authors: Rivera, Horacio;

[Scientific integrity faces plagiarism fabricated with the ChatGPT]

Abstract

De entre las malas prácticas que socavan la integridad científica destaca el plagio, tanto por su frecuencia como por sus cada vez más evolucionadas presentaciones. Plagiar implica apropiarse intencionalmente de textos, ideas, imágenes o datos ajenos sin dar el crédito debido. Sin embargo, las muchas y, a veces, sutiles maneras de plagiar dificultan identificar esta práctica deshonesta. Los fraudes y plagios explican la mayoría de los artículos retractados en revistas tradicionales y en las de acceso abierto. Además, las retractaciones por plagios en las bases de datos LILACS y SciELO exceden las reportadas en PubMed y Web of Science. Dicha diferencia se atribuye a la permisividad propia de nuestra cultura y a la dificultad para escribir en inglés que los académicos no angloparlantes enfrentamos. Tales peculiaridades explican el conflicto que experimentan los estudiantes latinoamericanos de posgrado en Estados Unidos, país cuya cultura es mucho más estricta en cuestión de plagios académicos y científicos. Al facilitar el acceso a la literatura científica, los avances digitales han propiciado los plagios, pero también el desarrollo de programas para detectar tales apropiaciones. Además del burdo "copiar y pegar", las herramientas para parafrasear han refinado y quizá aumentado el llamado "parafragio". Así, el novedoso ChatGPT puede usarse para plagiar y "parafragiar". Peor aún, la inclusión del ChatGPT como coautor de artículos científicos ha llevado a que el International Committee of Medical Journal Editors y editoriales de prestigio precisen que tal recurso no debe incluirse en la lista de autores. Para evitar el plagio, basta dar siempre el crédito a quien corresponda y apropiadamente. Por último, cuestiono la fe ciega en el progreso y el nulo escepticismo ahora imperantes que nos impiden prever las consecuencias negativas de los avances tecnológicos. 

Abstract Among the malpractices that undermine research integrity, plagiarism is a major threat given its frequency and evolving presentations. Plagiarism implies the intentional grabbing of texts, ideas, images, or data belonging to others and without crediting them. However, the different and even masked forms of plagiarism often difficult a clear identification. Currently, the many kinds of fraud and plagiarism account for most retractions in traditional and open access journals. Further, the rate of retracted articles is higher in the Latin American databases LILACS and Scielo than in PubMed and Web of Science. This difference has been related to the typical laxity of our culture and the lack of English writing skills of non-Anglophone researchers. These features explain the conflict experienced by Latin American students in USA where they face a stricter culture regarding academic and scientific plagiarism. In the internet era, the ease of accessing scientific literature has increased the temptation to plagiarize but this ethical breach has been countered by antiplagiarism software. Now, the so-called "paraphragiarism" prompted by paraphrasing tools exceeds the infamous "copy-paste". For instance, the innovative ChatGPT can be used for plagiarizing and paraphragiarizing. Moreover, its inclusion as coauthor in scientific papers has been banned by prestigious journals and the International Committee of Medical Journal Editors because such chatbot cannot meet the required public responsibility criterium. To avoid plagiarism, it is enough to always give due credit in the proper way. Lastly, I question the ill-fated and now prevailing conjunction of blind faith in progress and zero skepticism that prevents us from foreseeing the negative consequences of technological advances.

Among the malpractices that undermine research integrity, plagiarism is a major threat given its frequency and evolving presentations. Plagiarism implies the intentional grabbing of texts, ideas, images, or data belonging to others and without crediting them. However, the different and even masked forms of plagiarism often difficult a clear identification. Currently, the many kinds of fraud and plagiarism account for most retractions in traditional and open access journals. Further, the rate of retracted articles is higher in the Latin American databases LILACS and Scielo than in PubMed and Web of Science. This difference has been related to the typical laxity of our culture and the lack of English writing skills of non-Anglophone researchers. These features explain the conflict experienced by Latin American students in USA where they face a stricter culture regarding academic and scientific plagiarism. In the internet era, the ease of accessing scientific literature has increased the temptation to plagiarize but this ethical breach has been countered by antiplagiarism software. Now, the so-called "paraphragiarism" prompted by paraphrasing tools exceeds the infamous "copy-paste". For instance, the innovative ChatGPT can be used for plagiarizing and paraphragiarizing. Moreover, its inclusion as coauthor in scientific papers has been banned by prestigious journals and the International Committee of Medical Journal Editors because such chatbot cannot meet the required public responsibility criterium. To avoid plagiarism, it is enough to always give due credit in the proper way. Lastly, I question the ill-fated and now prevailing conjunction of blind faith in progress and zero skepticism that prevents us from foreseeing the negative consequences of technological advances.

Related Organizations
Keywords

ChatGPT, Artificial Intelligence, Scientific Misconduct, Humans, Plagio, Inteligencia Artificial, Revisión de Integridad Científica, Research Personnel, Plagiarism, Scientific Integrity Review

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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