Fake no more: The redemption of ChatGPT in literature reviews
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F25%3A102884" target="_blank" >RIV/60460709:41110/25:102884 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1080/08989621.2025.2465619" target="_blank" >https://doi.org/10.1080/08989621.2025.2465619</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/08989621.2025.2465619" target="_blank" >10.1080/08989621.2025.2465619</a>
Alternative languages
Result language
angličtina
Original language name
Fake no more: The redemption of ChatGPT in literature reviews
Original language description
This paper revisits earlier concerns regarding the reliability of ChatGPT for conducting academic literature reviews, particularly its tendency to generate fabricated references and invalid DOIs. Building on prior critical assessments, the authors evaluate recent advances in AI-assisted research through an empirical test of OpenAI’s Deep Research tool. Using a previously published prompt, they assess the accuracy, validity, and scholarly relevance of AI-generated references in the medical field. The findings demonstrate a marked improvement in citation accuracy, DOI validity, and disciplinary relevance, with the identified articles showing high citation impact. These results suggest that recent developments significantly enhance the credibility of AI tools for literature reviews. The paper concludes that, contrary to earlier recommendations, ChatGPT equipped with Deep Research can now be responsibly integrated into academic research workflows, while also raising broader questions about the future of scholarship.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30311 - Medical ethics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Accountability in research
ISSN
0898-9621
e-ISSN
0898-9621
Volume of the periodical
neuvedeno
Issue of the periodical within the volume
neuvedeno
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
3
Pages from-to
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UT code for WoS article
001423865500001
EID of the result in the Scopus database
2-s2.0-85219327866