Without journalists, there is no journalism: the social dimension of generative artificial intelligence in the media

The integration of artificial intelligence (AI) technologies into the media sector is projected to systematically and continuously transform operational practices and professional roles over the coming decades. A systematic review of two decades of research highlights critical social and epistemological challenges arising from this adoption, particularly for media organizations and journalists. Key issues include increased dependence on technology platforms and the imperative to defend editorial independence for media, while journalists face concerns over job security and the erosion of their traditional role as information intermediaries.

Why it matters

This analysis underscores the profound and long-term impact of artificial intelligence on the media landscape, affecting both organizational structures and individual professional roles. It highlights the critical need for strategic foresight in managing technological dependencies and preserving core values like editorial independence amidst rapid technological evolution.

Key insights

• AI implementation will systematically and continuously alter media work and professionals over several decades.
• The primary social and epistemological challenges of AI adoption in media have been identified through a systematic review of two decades of research, including empirical studies.
• Media organizations face challenges related to increased reliance on technological platforms and the need to preserve editorial independence.
• Journalists perceive AI as a potential threat to their employment and the symbolic capital associated with their role as intermediaries between reality and the public.

Source

arXiv — Computers and Society — https://arxiv.org/abs/2608.17017