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The Critical Impact and Socio-Ethical Implications of AI on Content Generation Practices in Media Organizations

Author

Listed:
  • Sevasti Lamprou

    (Department of Journalism and Mass Communications, Aristotle University of Thessaloniki, 546 25 Thessaloniki, Greece)

  • Paraskevi (Evi) Dekoulou

    (Department of Journalism and Mass Communications, Aristotle University of Thessaloniki, 546 25 Thessaloniki, Greece)

  • George Kalliris

    (Department of Journalism and Mass Communications, Aristotle University of Thessaloniki, 546 25 Thessaloniki, Greece)

Abstract

This systematic literature review explores the socio-ethical implications of Artificial Intelligence (AI) in contemporary media content generation. Drawing from 44 peer-reviewed sources, policy documents, and industry reports, the study synthesizes findings across three core domains: bias detection, storytelling transformation, and ethical governance frameworks. Through thematic coding and structured analysis, the review identifies recurring tensions between automation and authenticity, efficiency and editorial integrity, and innovation and institutional oversight. It introduces the Human–AI Co-Creation Continuum as a conceptual model for understanding hybrid narrative production and proposes practical recommendations for ethical AI adoption in journalism. The review concludes with a future research agenda emphasizing empirical studies, cross-cultural governance models, and audience perceptions of AI-generated content. This aligns with prior studies on algorithmic journalism.

Suggested Citation

  • Sevasti Lamprou & Paraskevi (Evi) Dekoulou & George Kalliris, 2025. "The Critical Impact and Socio-Ethical Implications of AI on Content Generation Practices in Media Organizations," Societies, MDPI, vol. 15(8), pages 1-14, August.
  • Handle: RePEc:gam:jsoctx:v:15:y:2025:i:8:p:214-:d:1715967
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    References listed on IDEAS

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    1. Snyder, Hannah, 2019. "Literature review as a research methodology: An overview and guidelines," Journal of Business Research, Elsevier, vol. 104(C), pages 333-339.
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