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The impact of generative AI on the scholarly communications of early career researchers: an international, multi‐disciplinary study

2024-10-06Journal article Open access
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dc.contributor.authorNicholas, David
dc.contributor.authorSwigon, Marzena
dc.contributor.authorClark, David
dc.contributor.authorAbrizah, Abdullah
dc.contributor.authorRevez, Jorge, 1980-
dc.contributor.authorHerman, Eti
dc.contributor.authorRodríguez Bravo, Blanca
dc.contributor.authorXu, Jie
dc.contributor.authorWatkinson, Anthony
dc.date.accessioned2024-12-09T14:22:30Z
dc.date.available2024-12-09T14:22:30Z
dc.date.issued2024-10-06
dc.description.abstractThe Harbingers study of early career researchers (ECRs), their work life and scholarly communications, began by studying generational—Millennial—change (c.2016), then moved to pandemic change (c.2020) and is now investigating another potential agent of change: artificial intelligence (2024–). We report here on a substantial scoping pilot study that looks at the impact of AI on the scholarly communications of international ECRs and, extends this to the arts and humanities. It aims to fill the knowledge gap concerning ECRs whose millennial mindset may render them especially open to change and, as the research workhorses they are, very much in the frontline. The data was collected via in-depth interviews in China, Malaysia, Poland, Portugal, Spain and (selectively) the United Kingdom/United States. The data show ECRs to be thinking, probing and, in some cases, experimenting with AI. There was a general acceptance that AI will be responsible for the growth of low quality scientific papers, which could lead to a decline in the quality of research. Scholarly integrity and ethics were a big concern with issues of authenticity, plagiarism, copyright and poor citation practices raised. The most widespread belief was AI would prove to be a transformative force and would exacerbate existing scholarly disparities and inequalities.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationNicholas, D., Swigon, M., Clark, D., Abrizah, A., Revez, J., Herman, E., Rodríguez Bravo, B., Xu, J., & Watkinson, A. (2024). The impact of generative AI on the scholarly communications of early career researchers: An international, multi‐disciplinary study. Learned Publishing, 37(4), e1628. https://doi.org/10.1002/leap.1628pt_PT
dc.identifier.eissn1741-4857
dc.identifier.issn0953-1513
dc.identifier.othere1628
dc.identifier.urihttp://hdl.handle.net/10400.5/96125
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherWiley; Association of Learned and Professional Society Publisherspt_PT
dc.relation.publisherversionhttps://doi.org/10.1002/leap.1628pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectEarly career researcherspt_PT
dc.subjectGenerative AIpt_PT
dc.subjectScholarly communicationpt_PT
dc.titleThe impact of generative AI on the scholarly communications of early career researchers: an international, multi‐disciplinary studypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleLearned Publishingpt_PT
oaire.citation.volume37(4)pt_PT
person.familyNameManuel Rias Revez
person.givenNameJorge
person.identifierM-3096-2013
person.identifier.ciencia-idE412-383D-F3FA
person.identifier.orcid0000-0002-3058-943X
person.identifier.scopus-author-id57192803532
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication668528a9-01e3-4189-8bc4-1573004ec045
relation.isAuthorOfPublication.latestForDiscovery668528a9-01e3-4189-8bc4-1573004ec045

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