Generative AI and Journalism

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.