Abstract
The rapid evolution of digital technologies has had a profound impact on the ways research is developed and communicated. This article discusses the changes in knowledge production and sharing that are gradually transforming scholarly publishing and research dissemination practices with the advent of digitalisation and, particularly, generative artificial intelligence (GenAI). It first explores the impact on research dissemination as well as the opportunities and challenges faced by publishers and authors – namely, Open Science requirements, digital genres, accessibility, predatory practices, social media, and altmetrics. Then, the focus is placed on GenAI tools and their affordances for academic writing and scientific communication. Opportunities are reported in view of multilingual research, productivity, and dissemination. Several challenges pertaining to authorial voice, institutional support, and academic integrity are also examined. Insights gained suggest the need for clear guidance as well as professional development opportunities for the benefit of digitally- and GenAI-literate researchers.
References
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Bhatia, V. K. (2023). Challenges and future directions in digitally mediated research publication and dissemination. In R. Plo-Alastrué & I. Corona (Eds.), Digital scientific communication. Identity and visibility in research dissemination (pp. 311–326). Palgrave Macmillan. https://doi.org/10.1007/978-3-031-38207-9_13
Bhatia, V. K. (2025). Language for specific (professional) purposes – A critical genre analysis inspired view. Ibérica, 50, 5–18. https://doi.org/10.17398/2340-2784.50.5
Bocanegra-Valle, A. (2017). How credible are open access emerging journals? A situational analysis in the humanities. In M. Cargill & S. Burgess (Eds.), Publishing research in English as an additional language: Practices, pathways and potentials (pp. 121–149). University of Adelaide Press. https://library.oapen.org/bitstream/handle/20.500.12657/31274/632878.pdf?sequence=1&isAllowed=y
Bocanegra-Valle, A. (2023a). Engaging in predatory practices: How editors persuade prospective authors. Círculo de Lingüística Aplicada a la Comunicación, 93, 117–129. https://doi.org/10.5209/clac.82441 ISSN: 1576-4737
Bocanegra-Valle, A. (2023b). Predatory journals: A potential threat to the dissemination of open access knowledge. In R. Plo-Alastrué & I. Corona (Eds.), Digital scientific communication: Identity and visibility in research dissemination (pp. 127–148). Palgrave Macmillan. https://doi.org/10.1007/978-3-031-38207-9_6
Breeze, R. (2019). Continuity and change. Negotiating relationships in traditional and online peer review genres. In M. J. Luzón & C. Pérez-Llantada (Eds.), Science communication on the Internet. Old genres meet new genres (pp. 107–129). John Benjamins. https://doi.org/10.1075/pbns.308.06bre
Breeze, R., & Kuteeva, M. (2024). Editorial. Ibérica, 48, 1–4. https://doi.org/10.17398/2340-2784.48.1
Caffoni, P. (2026). The cost of language: tokenization as a metric of labor. AI & Society. https://doi.org/10.1007/s00146-026-02990-2
Comas-Forgas, R., Koulouris, A., & Kouis, D. (2024). ‘AI-navigating’ or ‘AI-sinking’? An analysis of verbs in research articles titles suspicious of containing AI-generated/assisted content. Learned Publishing, 38(1), e1647. https://doi.org/10.1002/leap.1647
Dontcheva-Navratilova, O. (2023). Video abstracts for increasing researcher visibility. In R. Plo-Alastrué & I. Corona (Eds.), Digital scientific communication: Identity and visibility in research dissemination (pp. 171–192). Palgrave Macmillan. https://doi.org/10.1007/978-3-031-38207-9_8
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Erol, G., Ergen, A., Gülşen, B., et al. (2025). Can we trust academic AI detective? Accuracy and limitations of AI-output detectors. Acta Neurochirurgica, 167 (Art. 214), 1–12. https://doi.org/10.1007/s00701-025-06622-4
European Commission. (2025). Living guidelines on the responsible use of generative AI in research. https://research-and-innovation.ec.europa.eu/document/download/2b6cf7e5-36ac-41cb-aab5-0d32050143dc_en?filename=ec_rtd_ai-guidelines.pdf
Gallant, T. B., Davis, M., & Khan, Z. R. (2026). Academic integrity in the age of AI. Cambridge University Press. https://doi.org/10.1017/9781009672078
Giglio, A., & Costa M. U. P. (2023). The use of artificial intelligence to improve the scientific writing of non-native English speakers. Rev. Assoc. Med. Bras., 69(9), 1–5. https://doi.org/10.1590/1806-9282.20230560
González, P., Fors, M., & Torres, A. (2025). Altmetrics in the evaluation of scholarly impact: A systematic and critical literature review. Frontiers in Research Metrics and Analytics, 10, 1–9. https://doi.org/10.3389/frma.2025.1693304
Habibie, P., & Fazel, I. (Eds.) (2024). Predatory practices in scholarly publishing and knowledge sharing. Causes and implications for scholarship. Routledge. https://doi.org/10.4324/9781003170723
Hampson, T., Cargos, K., & McKinley, J. (2025). Automate the ‘boring bits’: An assessment of AI-assisted systematic review (AIASR). Research Methods in Applied Linguistics, 4(3), 100258. https://doi.org/10.1016/j.rmal.2025.100258
Harmon, J. E. (2019). At the frontlines of the online scientific article. In M. J. Luzón & C. Pérez-Llantada (Eds.), Science communication on the Internet. Old genres meet new genres (pp. 19-40). John Benjamins. https://doi.org/10.1075/pbns.308.02har
Hillman, S., & Alhirthani, M. (2025). AI-as-affect. Multilingual scholars’ feelings about writing with generative AI. Journal of English for Research Publication Purposes, 6(2), 316–339. https://doi.org/10.1075/jerpp.00037.hil
Hsu, H. Y., Hakouz, A., & Fotouhi, G. (2025). Towards responsible generative AI in academia: A synthesis of AI policies on academic writing in the field of educational research. AI Ethics, 5, 5467–5484. https://doi.org/10.1007/s43681-025-00794-6
Hyland, K., & Jiang, K. (2019). Academic discourse and global publishing. Disciplinary persuasion in changing times. Routledge.
IAP. (2022). Combating predatory academic journals and conferences. InterAcademy Partnership. https://www.interacademies.org/sites/default/files/2022-03/1.%20Full%20report%20-%20English%20FINAL.pdf
ICMJE. (2026). Use of artificial intelligence in publishing. International Committee of Medical Journal Editors. https://www.icmje.org/recommendations/browse/artificial-intelligence/
Jiang, F. K., & Hyland, K. (2026). EAP in a changing world: Towards a new research agenda. Journal of English for Academic Purposes, 80, 101647. https://doi.org/10.1016/j.jeap.2026.101647
Khalifa, M., & Albadawy, M. (2024). Using artificial intelligence in academic writing and research: An essential productivity tool. Computer Methods and Programs in Biomedicine Update, 5, 100145. https://doi.org/10.1016/j.cmpbup.2024.100145
Kuteeva, M. (2026). Digital research genres. In K. Hyland & P. Thompson (Eds.), The Routledge handbook of English for academic purposes, 2nd ed. (pp. 463–475). Routledge. https://doi.org/10.4324/9781003493358-41
Kuteeva, M., & Andersson, M. (2024). Diversity and standards in writing for publication in the age of AI – Between a rock and a hard place. Applied Linguistics, 45(3), 561–567.
Linacre, S. (2026). 20,000 reasons to love predatory reports. Cabells. https://blog.cabells.com/2026/02/04/20000-reasons-to-love-predatory-reports/
Lorés, R., & Mur-Dueñas, P. (2025). Specialized communication in the world wide web. In R. Roelcke, R. Breeze, & J. Engberg (Eds.), Specialized communication: An international handbook (pp. 645–664). De Gruyter Mouton. https://doi.org/10.1515/9783110672633-032
Luzón, M. J., & Pérez-Llantada, C. (Eds.) (2019). Science communication on the Internet. Old genres meet new genres. John Benjamins. https://doi.org/10.1075/pbns.308
Luzón, M. J., & Pérez-Llantada, C. (Eds.) (2022). Digital genres in academic knowledge production and communication: Perspectives and practices. Multilingual Matters. https://doi.org/10.21832/LUZON4719
Mohebbi, A. (2025). Ensuring ethical standards in scholarly publishing. The future of AI-driven knowledge production. Journal of English for Research Publication Purposes, 6(2), 220–247. https://doi.org/10.1075/jerpp.00033.moh
Montero, M. (2025). From cloud to cup: How much water does your ChatGPT drink? https://www.ie.edu/insights/articles/from-cloud-to-cup-how-much-water-does-your-chatgpt-drink/
Moorhouse, B. L., Consoli, S., & Curle, S. M. (2025). Generative AI and the future of writing for publication: Insights from applied linguistics journal editors. Applied Linguistics Review, 16(6), 2721–2747. https://doi.org/10.1515/applirev-2025-0021
Moorhouse, B. L., Consoli, S., & Curle, S. M. (2026). Research methods and generative artificial intelligence in applied linguistics. Research Methods in Applied Linguistics, 5(1), 100295. https://doi.org/10.1016/j.rmal.2026.100295
Nicholas, D., Watkinson, A., Voletine, R., Allard, S., Levine, K., Tenopir, C., & Herman, E. (2014). Trust and authority in scholarly communications in the light of the digital transition: Setting the scene for a major study. Learned Publishing, 27(2), 121–134. https://doi.org/10.1087/20140206
NEA. (2025). Environmental impact of AI. National Education Association. https://www.nea.org/professional-excellence/student-engagement/tools-tips/environmental-impact-ai
Ngo, T. N., & Hastie, D. (2025). Artificial intelligence for academic purposes (AIAP): Integrating AI literacy into an EAP module. English for Specific Purposes, 77, 20–38. https://doi.org/10.1016/j.esp.2024.09.001
Ou, A. W., Tai, K. W. H., & Wang, X. (2026). The emergence of academic writers: Multilingual doctoral students’ translanguaging and transpositioning in AI-mediated academic writing. Journal of English for Academic Purposes, 79. 101613. https://doi.org/10.1016/j.jeap.2025.101613
Paltridge, B. (2020). Writing for academic journals in the digital era. RELC Journal, 51(1), 147–157.
Pecorari, D. (2021). Predatory conferences: What are the signs? Journal of Academic Ethics, 19, 343–361. https://doi.org/10.1007/s10805-021-09406-4
Pegrum, M. (2026). From revolution to evolution: What generative AI really means for language learning. Language Teaching, 59, 180–196. https://doi.org/10.1017/S0261444825000151
Resnik, D. B., & Hosseini, M. (2025). The ethics of using artificial intelligence in scientific research: new guidance needed for a new tool. AI and Ethics, 5, 1499–1521. https://doi.org/10.1007/s43681-024-00493-8
Riazi, A. M. (2025). Editorial. Generative artificial intelligence (GenAI) and writing for scholarly publication. Journal of English for Research Publication Purposes, 6(2), 195-202. https://doi.org/10.1075/jerpp.00031.ria
Standford University (2025). Artificial intelligence index report 2025. https://hai.stanford.edu/assets/files/hai_ai-index-report-2025_chapter1_final.pdf
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