Submission details*
* Authors are invited to submit an extended abstract of 750–1000 words (excluding references) * Proposals should be submitted as a single PDF at _dmd@unidu.hr_ <mailto:(dmd /at/ unidu.hr)> and _ivana.grkes@unidu.hr_ <mailto:(ivana.grkes /at/ unidu.hr)> * No payment from the authors will be required **
*Timeline*
* Deadline for submission of extended abstracts: *15 June 2026* * Notification of acceptance: *15 July 2026* * Full article submission deadline: *1 December 2026* * Expected publication date: *May 2027*
*Editors of the special issue* * Iva Nenadić, University of Dubrovnik and European University Institute * Jan Erik Kermer, European University Institute
Over the past decades, digital technologies – first online platforms and increasingly generative artificial intelligence (GAI) – have profoundly reshaped the architecture of contemporary news and information systems. The growing integration of generative AI into media production, distribution, and consumption is accelerating long-standing transformations driven by technology companies, their business models, and operational practices. These developments have contributed to
increasingly personalised yet fragmented information environments, blurring the boundaries between professional and amateur actors, producers and users, and between authentic, synthetic, and manipulated content. While generative AI presents new opportunities for more efficient, creative, and potentially more inclusive forms of journalism and public communication, it also raises significant concerns for the integrity of the information sphere as a foundation of democratic life. The widespread deployment of generative systems intensifies challenges related to epistemic authority, credibility, transparency, and accountability, while further reshaping power relations within media ecosystems and political communication, and endangering the economic sustainability of journalism.
This special issue of the */Media Studies journal /*invites cross-disciplinary contributions that critically examine the structural
implications of generative AI for news media, political communication, and journalism education. We particularly welcome theoretical, empirical, and methodological work that situates generative AI within broader political, economic, regulatory, and educational contexts, and that assesses both its democratic potential and its risks. The special issue follows the 17th Dubrovnik Media Days conference, and welcomes (but is not limited to) expanded and revised conference papers.
Full manuscripts should be submitted directly through the *Media Studies OJS system*, available__
<https://hrcak.srce.hr/ojs/index.php/medijske-studije/about/submissions#onlineSubmissions>_here_
<https://hrcak.srce.hr/ojs/index.php/medijske-studije/about/submissions#onlineSubmissions>, where they will undergo a double-blind peer review, following the standard procedures of the journal. *When submitting the manuscript,
make a note that submission is for the special issue /Generative AI/*
Papers should be up to 8000 words, including footnotes and references.
Detailed instructions for authors can be found__
<https://hrcak.srce.hr/upute/guide_authors_Medijske_studije.docx>_here_
<https://hrcak.srce.hr/ojs/index.php/medijske-studije/about/submissions>.
For more information about the special issue please contact:
_iva.nenadic@eui.eu_ <mailto:(iva.nenadic /at/ eui.eu)>, _ivana.grkes@unidu.hr_
<mailto:(ivana.grkes /at/ unidu.hr)>, _silvija.vukovic@fpzg.hr_
<mailto:(silvia.vukovic /at/ fpzg.hr)>
Articles published in the Media Studies journal are indexed in Web of Science Core Collection, Scopus, ProQuest – Social Science Database and Social Science Premium Collection, ERIH PLUS, Hrčak – The Portal of Croatian Scientific Journals and DOAJ – the Directory of Open Access Journals.
For more information about the journal visit _Media Studies_
<https://hrcak.srce.hr/en/medijske-studije?lang=en>_._