Artificial Intelligence and its Implications for Media Sustainability in Romania

Georgiana Camelia Stănescu ()
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Georgiana Camelia Stănescu: University of Craiova, Faculty of Letters

A chapter in Sustainability and Social Responsibility of the Media and in the Media, 2026, pp 89-110 from Springer

Abstract: Abstract Artificial intelligence tools’ widespread emergence has revolutionized how media content is produced, sold, and consumed. From chatbots that can write a news story in seconds if they have the necessary data to tools that generate images or photos based on the text provided, they have all changed procedures and how newsrooms work. With these phenomena has come a very dangerous one: the risk of fake news. Several websites and apps generate fake news on demand, especially when it comes to topics of interest. In this context, the media play an overwhelmingly important role. There is a need for credible media outlets to provide quality, verified content. However, artificial intelligence is increasingly weakening media institutions. To maintain their profits, some companies in the industry are starting to replace journalists with artificial intelligence tools. For example, a famous Romanian trust already has an AI-generated news anchor for a sports website. So, from avatars to tools for automating other tasks in newsrooms, they are all putting journalists’ jobs at risk and, thus, the economic and social sustainability of the whole industry. This article analyses how artificial intelligence affects media organizations in Romania through qualitative methods. In this context, the authorities should take measures to protect the press in particular, but also the population in general, because the reduction of specialized media trained in this field may endanger democracy itself due to fake news. The article could be helpful for journalists, researchers, and national decision-makers.

Keywords: Artificial intelligence; Sustainability; Mass media; Automation; Algorithms; Personalization; Innovation; Technological development; Efficiency; Digital transformation; Big data; Machine learning; Ethics; Journalism; Ai-generated content; Social impact; Fake news; Distribution; Audience; Future of media; Deep fakes; Data privacy; Media ethics; Disinformation; Virtual reality; Augmented reality; User experience; Democracy; Media industry; Environmental sustainability (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:csrchp:978-3-032-00086-6_5

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DOI: 10.1007/978-3-032-00086-6_5

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