The article reviews two decades of empirical research on artificial intelligence in media, highlighting how AI will continuously reshape journalistic work. It identifies key social and epistemological challenges, such as increased reliance on tech platforms, threats to editorial independence, and journalists’ ambivalence between job security and creative liberation. The study argues that understanding AI’s impact on audiences and journalists is essential for guiding its responsible use in journalism.
By Sim\'on Pe\~na-Fern\'andez, Koldobika Meso-Ayerdi, Ainara Larrondo-Ureta, Javier D\'iaz-Noci
arXiv:2606. 11116v1 Announce Type: cross Abstract: As newsrooms integrate generative AI, journalists face a disclosure challenge: how to communicate AI involvement in ways that maintain reader trust.
By Pooja Prajod
arXiv:2601. 11072v1 Announce Type: cross Abstract: Within journalistic editorial processes, disclosing AI usage is currently limited to simplistic labels, which misses the nuance of how humans and AI collaborated on a news article.
By Amber Kusters, Pooja Prajod, Pablo Cesar, Abdallah El Ali
arXiv:2601. 17363v3 Announce Type: replace-cross Abstract: This study investigates whether readers prefer AI-generated short stories in Italian over one written by a renowned Italian author.
By Michael Farrell
arXiv:2606. 29121v1 Announce Type: cross Abstract: Public discourse about artificial intelligence (AI) often uses anthropomorphic language: language that attributes human capabilities and characteristics to the system.
By Betty Li Hou, Sophie Hao, Sunoo Park, Tal Linzen
arXiv:2606.29121v2 Announce Type: replace-cross
Abstract: Public discourse about artificial intelligence (AI) often uses anthropomorphic language: language that attributes human capabilities and char...
By Betty Li Hou, Sophie Hao, Sunoo Park, Tal Linzen