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This is a Systematic Review study.

September 10, 2025Societies5 citationsOpen Access

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

SLStavros LamprouAristotle University of Thessaloniki PDParaskevi DekoulouCyprus University of Technology GKGeorge KallirisAristotle University of Thessaloniki

Key Points

AI influences media content generation practices, posing ethical dilemmas that demand attention.
Findings from 44 sources reveal key issues around bias detection and automated storytelling in media.
Thematic analysis uncovers conflicts between efficiency and editorial integrity in AI-driven content creation.
Proposed framework addresses the necessity for ethical AI governance in journalism and future research directions.

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.

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