Artificial Intelligence, Digital Media, and the Future of Journalism

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Authors: Faik Tanrikulu
Cited by: 0
References: 11

Abstract

AI-powered digital media tools have emerged as indicators of a new era, particularly in the field of journalism. As the ways in which information is produced, disseminated and verified continue to evolve, the function, responsibility and ethical boundaries of journalism in democratic societies have become subjects of renewed debate. This study aims to examine the societal impacts of the accelerated digitalization process in the post-COVID-19 era, with a specific focus on how AI and emerging media technologies are shaping the future of journalism. The rise of algorithmically generated news, personalized information flows, and automated editorial decisions has accelerated the transformation of traditional journalism into a hybrid model. Drawing on theoretical insights from Zuboff, Castells, and McLuhan, this study examines how AI challenges the public responsibility of journalism, particularly in the aftermath of the COVID-19 pandemic. It argues that the future of journalism depends on a delicate balance between technological innovation and ethical accountability.

Fields of Study & Subjects

Journalism and Media Studies Media Studies and Communication Communication and COVID-19 Impact

Publication details

Journal / source
Advances in computational intelligence and robotics book series
Pages
209–226
Publication date
14 January 2026
Document type
Book chapter