Fake no more: The redemption of ChatGPT in literature reviews

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Fake no more: The redemption of ChatGPT in literature reviews

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Fake no more: The redemption of ChatGPT in literature reviews

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30311 - Medical ethics

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Accountability in research

ISSN

0898-9621

e-ISSN

0898-9621

Svazek periodika

neuvedeno

Číslo periodika v rámci svazku

neuvedeno

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

3

Strana od-do

—

Kód UT WoS článku

001423865500001

EID výsledku v databázi Scopus

2-s2.0-85219327866