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From Field to Desk: AI and the Reporter–editor Rebalance in Turkish Digital Newsrooms

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  • Mustafa Mutlu

Abstract

This study examines how artificial intelligence (AI) reshapes journalism in Turkiye’s digital newsrooms. Drawing on a survey of 102 professionals working in digital-native outlets and platforms, we find a marked desk-centric shift in the division of labor (editors 60%, reporters 19%) alongside pragmatic, operational uses of AI (data analysis/visualization, social media content, translation, headline editing). While perceived productivity rises with AI, journalists remain skeptical about replacement and AI-generated content, and widely acknowledge algorithmic shaping of news flows. Chi-square analyses show significant, medium-to-strong associations between productivity beliefs and replacement expectations, as well as between trust in AI content and beliefs about algorithmic shaping. Respondents view AI more favorably in verification and moderation than in original reporting or idea generation. We argue that Turkiye’s newsroom transformation is best characterized as AI-assisted, not AI-led, and that transparent labeling, human editorial oversight, and clear institutional policies are prerequisites for trustworthy adoption.

Suggested Citation

  • Mustafa Mutlu, 2025. "From Field to Desk: AI and the Reporter–editor Rebalance in Turkish Digital Newsrooms," European Journal of Communication and Media Studies, European Open Science, vol. 4(5), pages 1-9, November.
    • Handle: RePEc:epw:media0:v:4:y:2025:i:5:id:562
    DOI: 10.24018/ejmedia.2025.4.5.562
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    1. Gustavo Ansaldi Oliva & Marco Aurélio Gerosa & Fabio Kon & Virginia Smith & Dejan Milojicic, 2016. "A Static Change Impact Analysis Approach based on Metrics and Visualizations to Support the Evolution of Workflow Repositories," International Journal of Web Services Research (IJWSR), IGI Global Scientific Publishing, vol. 13(2), pages 74-101, April.
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