Items tagged datajournalism in Apr
Filters: Month: Apr × datajournalism × Sorted by date
Food Delivery Leak Unmasks Russian Security Agents. This story is from April 2022 but I realize now I never linked to it.
Yandex Food, a popular food delivery service in Russia, suffered a major data leak.
The data included an order history with names, addresses and phone numbers of people who had placed food orders through that service.
Bellingcat were able to cross-reference this leak with addresses of Russian security service buildings—including those linked to the GRU and FSB.This allowed them to identify the names and phone numbers of people working for those organizations, and then combine that information with further leaked data as part of their other investigations.
If you look closely at the screenshots in this story they may look familiar: Bellingcat were using Datasette internally as a tool for exploring this data! # 26th April 2024, 1:59 am
AI for Data Journalism: demonstrating what we can do with this stuff right now
I gave a talk last month at the Story Discovery at Scale data journalism conference hosted at Stanford by Big Local News. My brief was to go deep into the things we can use Large Language Models for right now, illustrated by a flurry of demos to help provide starting points for further conversations at the conference.
[... 6080 words]Weeknotes: Covid-19, First Python Notebook, more Dogsheep, Tailscale
My covid-19.datasettes.com project publishes information on COVID-19 cases around the world. The project started out using data from Johns Hopkins CSSE, but last week the New York Times started publishing high quality USA county- and state-level daily numbers to their own repository. Here’s the change that added the NY Times data.
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