Ai-driven Transformation In Contemporary Media A Critical Analysis Of Institutional Restructuring And The Evolution Of Professional Journalistic Practice

Abstract

This study aims to analyze the profound transformations brought about by artificial intelligence technologies in the contemporary media industry, through a critical approach that investigates the technical, professional, and ethical dimensions of these transformations. The central problematic stems from questioning how AI is reshaping traditional media structures, its impacts on journalistic professional practice, and the ethical challenges arising from its increasing applications. The study adopted a critical analytical descriptive methodology, based on a comprehensive review of recent scientific literature and exploratory studies published between 2023 and 2025, focusing on analyzing practical applications of AI in content production, automated journalism, information personalization, and news verification. The specific reality of electronic sports media in Algeria was also explored, along with the potential for employing these technologies in its development. The study concluded that artificial intelligence has created a real revolution in the media industry, where machine learning applications and natural language processing have contributed to improving media production efficiency and speed, enabling precise content personalization, and automating routine tasks. However, this development has generated fundamental ethical and professional challenges, including algorithmic bias risks, misinformation, declining public trust, and threats to journalists' professional identity. The results also showed that electronic sports media in Algeria faces structural and professional challenges that prevent optimal utilization of AI capabilities, despite promising available opportunities