Use of artificial intelligence in editing local online media
Abstract
Artificial intelligence (AI) has begun to change not only the habitus of journalists, but also the editorial practices themselves. Faced with a lack of resources, local editors are trying to use the capacities provided by artificial intelligence, side by side, with colleagues from large media. However, financial vulnerability, lack of time for training and lack of staff stand as obstacles to the effective application of artificial intelligence in local online media editing.
Therefore, the main goal of this paper is to investigate to what extent and in which ways are the AI tools used in editing local online media in Serbia, as well as the specific challenges that local editors face in this domain. The research is focused exclusively on the application of AI tools in editorial processes, and its core are the experiences, decisions, attitudes, dilemmas and predictions of local online media editors regarding the use of artificial intelligence in online media editing. Key methods were an in-depth interview and a survey, in which participated the editors of the local online media 021.rs, In medija, Za medija, Kolubarske, Al pres, Glas Šumadije and Glas Podrinja.
The research results showed that the editors of local online media most often apply artificial intelligence tools for copy editing and predictive analytics. As the biggest problem they emphasize insufficiently developed skills for applying AI tools and the lack of clear ethical rules in this domain. Thus, only two local newsrooms that are part of the research have guidelines for the ethical use of artificial intelligence, while others are still planning to develop internal codes for this purpose.
References
Cvejić, B. (2024). Upotreba veštačke inteligencije u kreiranju medijskog sadržaja u Srbiji. Politički život, (27), 79-94.
Gonçalves, A., & Morais, R. (2024). Can automated news help local journalism? An exploratory study in Portugal. Local Journalism, Global Challenges: News Deserts, Infodemic and the Vastness in Between. Covilhã, Portugal: LabCom Books, 33-56.
De-Lima-Santos, M. F., Yeung, W. N., & Dodds, T. (2025). Guiding the way: a comprehensive examination of AI guidelines in global media. AI & SOCIETY, 40(4), 2585-2603.
Dhiman, B. (2023). Does artificial intelligence help journalists: a boon or bane?. MISC; https://www.ssoar.info/ssoar/handle/document/86437
Dodds, T., Zamith, R., & Lewis, S. C. (2025). The AI turn in journalism: Disruption, adaptation, and democratic futures. Journalism, 14648849251343518.
Eder, M., & Sjøvaag, H. (2025). Falling behind the adoption curve: Local journalism’s struggle for innovation in the AI transformation. Journal of Media Business Studies, 1-19.
Feuerriegel, S., Hartmann, J., Janiesch, C., & Zschech, P. (2024). Generative ai. Business & Information Systems Engineering, 66(1), 111-126
Giomelakis, D., & Veglis, A. (2015). Employing search engine optimization techniques in online news. Studies in media and communication, 3(1), 22-33.
Haim, M., & Graefe, A. (2017). Automated news: Better than expected?. Digital journalism, 5(8), 1044-1059.
Heiselberg, L., & Hopmann, D. N. (2024). Local journalism and its audience. Journalism, 25(12), 2543-2563.
Lewis, S. C., Markowitz, D. M., & Bunquin, J. B. A. (2025). Journalists, emotions, and the introduction of generative AI Chatbots: a large-scale analysis of tweets before and after the launch of ChatGPT. Social Media+ Society, 11(1), 20563051251325597
McQuail. D. (1994) Mass Communication Theory. SAGE Publications Ltd
Møller, L. A., Cools, H., & Skovsgaard, M. (2025). One Size Fits Some: How Journalistic Roles Shape the Adoption of Generative AI. Journalism Practice, 1-22.
Nedeljković, M. (2023). Click-based journalism: The impact of analytics and algorithms on online media editing. CM: Communication and Media, 18(53), 57-80.
Nedeljković, M., & Krstić, A. (2025). ДОМЕТИ И ЕТИЧКА РАЗМАТРАЊА ВЕШТАЧКЕ ИНТЕЛИГЕНЦИЈЕ У НОВИНАРСТВУ: ПЕРСПЕКТИВА СТУДЕНАТА НОВИНАРСТВА. Srpska politička misao, 92(4).
Nielsen, R. K. (2015). Local newspapers as keystone media: The increased importance of diminished newspapers for local political information environments. Pre-publication version of chapter in Rasmus Kleis Nielsen (ed.).
Olsen, R. K. (2023). Automation and Autonomy in Local Newsrooms. Journalism Practice, 17(7), 1281–1298.
Panda, K., & Agrawal, S. (2024). Predictive analytics: an overview of evolving trends and methodologies. The Journal of Scientific and Engineering Research, 8(10), 175-180.
Reuters Institute for the Study of Journalism (2024). Journalism, Media, and Technology Trends and Predictions
Reuters Institute for the Study of Journalism (2025). Journalism, Media, and Technology Trends and Predictions
Schulhoff, S., Ilie, M., Balepur, N., Kahadze, K., Liu, A., Si, C., ... & Resnik, P. (2024). The prompt report: a systematic survey of prompt engineering techniques. arXiv preprint arXiv:2406.06608.
Simić, J. Nove informacione tehnologije: svet bez granica ili ograničenje demokratije. GRAĐANI U DOBA DEZINFORMACIJA, 89.
Wenger, D., Hossain, M. S., & Senseman, J. R. (2025). AI and the Impact on Journalism Education. Journalism & Mass Communication Educator, 80(1), 97-114.
White, D. M. (1950). The ‘gate keeper’: A case study in the selection of news. Journalism Quarterly, 27, 383–390.
Yenduri, G., Ramalingam, M., Selvi, G. C., Supriya, Y., Srivastava, G., Maddikunta, P. K. R., ... & Gadekallu, T. R. (2024). Gpt (generative pre-trained transformer)—A comprehensive review on enabling technologies, potential applications, emerging challenges, and future directions. IEEE access, 12, 54608-54649.
Kodeksi, preporuke, smernice:
Kodeks novinara i novinarki Srbije (2024). Savet za štampu
Paris Charter on AI and Journalism (2023). Reportes Without Borders
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