Generative AI and Journalism

From Production to Perception
1. Auflage 2026
ISBN: 978-1-041-13908-9
Verlag: Taylor & Francis Ltd

Buch, Englisch, 152 Seiten, Format (B × H): 138 mm x 216 mm

Reihe: Routledge Focus on Communication and Society

Focusing on three areas of generative AI use—content, production, and reception—this book offers a timely perspective on the impact of generative AI on journalism.

This book brings together multiple research projects and engagement activities, including fieldwork in nine countries from across Europe, Australia, and the USA, to offer an expansive overview of the affordances and limitations of generative AI for journalism, how generative AI is (or is intentionally not) being used in journalism, and how audiences are encountering and reacting to generative AI-powered journalism in their daily lives. The authors trace the history of AI in journalism and contextualise generative AI as the latest iteration in a long trend of automating news and journalism production, editing, and presentation dating back to the 1830s. Issues discussed include labour displacement; algorithmic bias and algorithmic explainability; ethical, legal, and regulatory challenges; and audience perceptions of authenticity, accuracy, and transparency as they relate to journalism produced by or with the involvement of generative AI.

Generative AI and Journalism is written for researchers and students of journalism and audience Studies.

Zielgruppe

Academic, Postgraduate, and Undergraduate Advanced

Autoren/Hrsg.

Thomson, T.J.

Thomas, Ryan J.

Cools, Hannes

Fachgebiete

• Geisteswissenschaften Kunst Fotografie Fotojournalismus
• Sozialwissenschaften Soziologie | Soziale Arbeit Spezielle Soziologie Mediensoziologie
• Sozialwissenschaften Medien- und Kommunikationswissenschaften Medienwissenschaften Journalismus & Presse
• Sozialwissenschaften Medien- und Kommunikationswissenschaften Kommunikationswissenschaften

Inhaltsverzeichnis

Acknowledgements, Preface, Chapter 1: Historicising Generative AI’s Rise in Journalism, Chapter 2: Social and Institutional Drivers of Generative AI in Journalism, Chapter 3: Generative AI in the Newsroom: Organisations, Routines, and People, Chapter 4: Evaluating Generative AI Content in Journalism From Two Perspectives, Chapter 5: Learning From Audiences About Generative AI in Journalism, Chapter 6: Theoretical Takeaways and Future Forecasts for the Journalistic and Scholarly Fields, Index

Über Autor(innen)

T. J. Thomson is an Associate Professor at RMIT University, Australia where he co-leads the News, Technology, and Society Network. He is an expert in visual communication and is the co-editor of The Routledge Companion to Visual Journalism (2025) and is the co-author of Living with Misinformation A Media Literacy Approach (Routledge, 2026) and Everyday Visual News: Audience Expectations, Engagements, and Meanings (Routledge, 2026).

Ryan J. Thomas is a Professor of Journalism and Media Production and Director of Graduate Studies in the Edward R. Murrow College of Communication at Washington State University, USA. His teaching and research centre on issues pertaining to the intersections of journalism and democracy, journalism ethics, and the sociology of news production. He is the editor-in-chief of the Journal of Media Ethics and co-editor (with Edson C. Tandoc, Joy Jenkins, and Oscar Westlund) of Critical Incidents in Journalism: Pivotal Moments Reshaping Journalism Around the World (Routledge, 2020).

Hannes Cools is Assistant Professor ‘Human Factor in New Technologies’ at the University of Amsterdam, the Netherlands. He is also a Fellow at the Digital Democracy Centre (DDC), at the University of Southern Denmark (SDU). His research interests include responsible AI, computational journalism, newsroom innovation and news automation. He is also a research affiliate at the Culture, Communication and Technology (CCT) Program of Georgetown University in Washington DC, USA.