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Artificial Intelligence, Digital Media, and the Future of Journalism
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.
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