English as a lingua franca in academic publishing: using round-trip translation to estimate linguistic revision difficulty DOI

Novella Tedesco,

Silvia Bernardini, Federico Garcea

et al.

Journal of English as a Lingua Franca, Journal Year: 2024, Volume and Issue: 13(2), P. 307 - 335

Published: Sept. 1, 2024

Abstract In this paper the feasibility of a novel method for estimating revision difficulty academic texts to be published in English as lingua franca (ELF) is examined with purpose optimizing revisors’ workflow and performance. doing so, we also address complex issue linguistic standards ELF productions from new perspective. The automatic round-trip translation (RTT), which consists machine-translating text into another language back source language, applied conjunction BLEU, an similarity traditionally used machine evaluation. between manuscript its calculated obtain priori evaluation difficulty, efficacy reliability are tested. Alongside experimental research, some theoretical issues regarding practice hyperglobalized context international publishing discussed. results experiments show that RTT-based can successfully estimate difficulty. variety data demonstrates applicability beyond cases under study. Some limitations further developments study briefly

Language: Английский

Artificial Intelligence in Peer Review: Enhancing Efficiency While Preserving Integrity DOI Creative Commons
Bohdana Doskaliuk, Olena Zimba, Marlen Yessirkepov

et al.

Journal of Korean Medical Science, Journal Year: 2025, Volume and Issue: 40(7)

Published: Jan. 1, 2025

The rapid advancement of artificial intelligence (AI) has transformed various aspects scientific research, including academic publishing and peer review. In recent years, AI tools such as large language models have demonstrated their capability to streamline numerous tasks traditionally handled by human editors reviewers. These applications range from automated grammar checks plagiarism detection, format compliance, even preliminary assessment research significance. While substantially benefits the efficiency accuracy processes, its integration raises critical ethical methodological questions, particularly in lacks subtle understanding complex content that expertise provides, posing challenges evaluating novelty Additionally, there are risks associated with over-reliance on AI, potential biases algorithms, concerns related transparency, accountability, data privacy. This review evaluates perspectives within community integrating publishing. By exploring both AI's limitations, we aim offer practical recommendations ensure is used a supportive tool, supporting but not replacing expertise. Such guidelines essential for preserving integrity quality work while benefiting efficiencies editorial processes.

Language: Английский

Citations

0
Can ChatGPT Boost Students’ Employment Confidence? A Pioneering Booster for Career Readiness DOI Creative Commons
Xiao Yu, Zheng Li

Behavioral Sciences, Journal Year: 2025, Volume and Issue: 15(3), P. 362 - 362

Published: March 14, 2025

This study examines the impact of ChatGPT on university students’ employment confidence, utilizing comprehensive methodologies such as regression analysis, Inverse Probability Weighting (IPW), and Structural Equation Modeling (SEM). The results indicate that regular use significantly enhances confidence in securing employment, with stronger effects observed among undergraduate students those social sciences. Additionally, this reveals experience plays a partial mediating role effect, underscoring importance user interaction realizing benefits AI tools. These findings suggest not only improves cognitive abilities career-related knowledge but also boosts proactive job-seeking behaviors, fostering increased job market readiness. implications are far-reaching, highlighting how tools can enhance career development support, particularly for at earlier stages their academic journey. As technologies continue to influence education, offers valuable insights into effectively prepare market, potentially contributing future research shaping educational practices ways address challenges.

Language: Английский

Citations

0
On the ethical and moral dimensions of using artificial intelligence for evidence synthesis DOI Creative Commons
Soumyadeep Bhaumik

PLOS Global Public Health, Journal Year: 2025, Volume and Issue: 5(3), P. e0004348 - e0004348

Published: March 19, 2025

Artificial intelligence (AI) is increasingly being used in the field of medicine and healthcare. However, there are no articles specifically examining ethical moral dimensions AI use for evidence synthesis. This article attempts to fills this gap. In doing so, I deploy written form, what Bengali philosophy culture, Adda (আড্ডা) approach, a form oral exchange, which involves deep but conversational style discussion. developed as intellectual resistance against cultural hegemony British Imperialism entails asking provocative question encourage critical discourse.The raison d'être using that it would enhance efficiency conduct synthesis, thus leading greater uptake. whether assuming so without any empirical ethical. then examine challenges posed by lack agency AI; issue bias discrimination amplified through driven synthesis; epistemic (knowledge-related) uncertainty on impact knowledge systems (training future scientists, conformity), need looking at beyond technical evaluation models. discuss responsibilities government, multi-laterals, research institutions funders regulating having an oversight role development, validation, argue industry self-regulation responsible unlikely address concerns, develop legal frameworks, ethics codes, bringing such work within ambit institutional committees enable appreciation complexities around mitigate hazards, ensure synthesis leads improvement health individuals, nations societies.

Language: Английский

Citations

0
When using Artificial Intelligence Tools in Scientific Publications Authors should include the Prompts and the Generated Text as Part of the Submission DOI
Graham Kendall

Journal of Academic Ethics, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 13, 2024

Language: Английский

Citations

2
Analyzing AI use policy in LIS: association with journal metrics and publisher volume DOI
Eungi Kim

Scientometrics, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 5, 2024

Language: Английский

Citations

1
The Bot Delusion. Large language models and anticipated consequences for academics’ publication and citation behavior DOI Creative Commons
Oliver Wieczorek, Isabel Steinhardt, Rebecca Schmidt

et al.

Futures, Journal Year: 2024, Volume and Issue: 166, P. 103537 - 103537

Published: Dec. 25, 2024

Language: Английский

Citations

0
Navigating the ChatGPT Theological Terrain: Considerations for Graduate Theology Students DOI Creative Commons
Mahlon Juma

Pan-African journal of education and social sciences, Journal Year: 2024, Volume and Issue: 5(2), P. 158 - 166

Published: Dec. 26, 2024

With discussions across disciplines, AI technologies are here to stay. For both professors and students, academic debates raise ethical moral questions. This study attempts address the latter issue through these research questions: Can graduate theology scholars use ChatGPT for their publications? What advantages drawbacks of using in scholarly publications Theology students? implications guidelines should be followed when ChatGPT? The literature shows that already worried about potential scholastic perversions resulting plagiarism fraud. Originality, creativity, synthesis, critical thinking, diligent editing still necessary. have theological ramifications soteriology ecclesiology. ChatGPT's biblical knowledge is theologically unsound prone errors. It’s unreliable translations ancient Biblical texts not replace professional languages, particularly handling intricate linguistic problems. Thus, technology viewed as a supportive tool missions. It spiritual discernment, Holy Spirit's guidance, understanding, or insights into Christian experience.

Language: Английский

Citations

0
Plagiarism in the system of academic integrity in medical research (part 1) DOI Creative Commons
M.V. Krasnoselskyi, N.O. Artamonova, Олена Миколаївна Сухіна

et al.

Український радіологічний та онкологічний журнал, Journal Year: 2024, Volume and Issue: 32(4), P. 570 - 588

Published: Dec. 3, 2024

Background. The problem of plagiarism is multifaceted and relevant both for Ukraine the world. Ensuring academic integrity in conducting medical research protecting against spread pseudoscientific results particular importance. Purpose – to characterize current views on such a multidimensional phenomenon as (AP) research. Materials Methods. To reveal essence AP its features medicine, comprehensive study scientific publications was conducted, considering legislation application practices. analytical method used process from international digital resources Scopus, Web Science Core Collection, NCBI PubMed. search period covered 2014–2024. strategy based use keywords «academic plagiarism», «scientific «plagiarism AND medicine», «Self-Citation Academic Publications», with filters «years: 2014–2024» «medicine». However, PubMed, limitations were only by years, it database. Results Discussion. characterized contemporary using medicine an example. concept plagiarism» types revealed, specific examples provided. policies journal publishers regarding described. article retraction or other publication possible conditions implementation characterized. Examples investigations given, USA examples. main reasons occurrence identified. Conclusions. conducted analysis allows concluding that most frequent violation integrity. In contrast general «plagiarism», exclusively concerns texts involves reproducing text work without changes another author citing it, incorrect citation, indicating source. words, concepts, structures proper acknowledgment source personal gain. mechanism correcting information published disclosed, guidelines, recommendations, standards professional organizations. Thus, issue not simple straightforward; many cases, committed authors out ignorance disregard legal regulation principles limits permissible free works. Determining whether contains quite challenging, therefore resolution this entrusted expertsʼ (reviewersʼ) conclusions.

Language: Английский

Citations

0
English as a lingua franca in academic publishing: using round-trip translation to estimate linguistic revision difficulty DOI

Novella Tedesco,

Silvia Bernardini, Federico Garcea

et al.

Journal of English as a Lingua Franca, Journal Year: 2024, Volume and Issue: 13(2), P. 307 - 335

Published: Sept. 1, 2024

Abstract In this paper the feasibility of a novel method for estimating revision difficulty academic texts to be published in English as lingua franca (ELF) is examined with purpose optimizing revisors’ workflow and performance. doing so, we also address complex issue linguistic standards ELF productions from new perspective. The automatic round-trip translation (RTT), which consists machine-translating text into another language back source language, applied conjunction BLEU, an similarity traditionally used machine evaluation. between manuscript its calculated obtain priori evaluation difficulty, efficacy reliability are tested. Alongside experimental research, some theoretical issues regarding practice hyperglobalized context international publishing discussed. results experiments show that RTT-based can successfully estimate difficulty. variety data demonstrates applicability beyond cases under study. Some limitations further developments study briefly

Language: Английский

Citations

0