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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30311 - Medical ethics

Result continuities

  • Project

  • 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

  • UT code for WoS article

    001423865500001

  • EID of the result in the Scopus database

    2-s2.0-85219327866