Global Investigative Journalism Network (https://archive.gijn.org/tag/python/)
Убийства женщин в Европе, калькулятор для планирования поездок на электромобиле, ошибки алгоритмов, финалисты премии Sigma Awards, мультимедийный проект о пропавших без вести мигрантах из Кубы и данные о проблемах съёмного жилья в Испании и Шотландии.
Журналист-расследователь и сооснователь «Важных историй» Роман Анин поделился инструментами, которые он использует безопасного хранения файлов, шифрования паролей, поиска информации о госзакупках, импорте и экспорте, а также для очистки и визуализации данных.
In the newest post of GIJN’s series “My Favorite Tools,” French-British journalist Olivier Holmey interviews Roman Anin, the 33-year-old founder and editor-in-chief of IStories, a nonprofit Russian investigative news site. Anin discusses how he has used import/export data from the UN, as well as encryption software and data cleaning applications, in his investigations.
Как защищать свои звонки и каналы передачи файлов, проверять документы из сомнительных источников и быстро анализировать массивы неоднородных данных рассказал редактор глобальных расследований Associated Press.
For our series about journalists’ favorite tools, we spoke with veteran American investigative reporter Ron Nixon. Now the global investigations editor for The Associated Press, Nixon shared the most important tools he uses for research, secure communications, and data analysis on many of his groundbreaking investigations.
Using image analysis tools on their own means nothing without asking the right questions. AJ Labs experimented with Google Vision API, a machine-learning technology, to analyze images used by Al Jazeera over the course of last year. They hope to integrate the technology into their newsroom in the future to make processes easier for their journalists.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from April 8 to 14 finds a zine focused on machine learning-powered investigative journalism produced by @bxrobertz, a video explainer from @FT on whether big corporations are really generous or just avoiding taxes, @knowtheory and @amandabee reviewing seven optical character recognition tools and @workbenchdata offering a tutorial on visualizing @Twitter data.
$8 billion in just a few hours earlier this year? It was because of a web scraper, a tool companies use—as do many data reporters. A web scraper is simply a computer program that reads the HTML code from webpages, and analyze it. With such a program, or “bot,” it’s possible to extract data and information from websites.
The story published in the Washington Post’s Wonkblog ended up being about race, but it didn’t start out that way. Nick Diakopoulos, who leads the lab, wrote for the Wonkblog last year with a story on how surge pricing motivates Uber drivers to move to those surging areas, but does not increase the number of drivers on the road as Uber claims.
What’s the data-driven journalism crowd tweeting? Here are top links for Oct 24-30: Clinton/Trump facial analysis (@benheubl ); 10K edits to Clinton/Trump Wikipedia pages (@chrisalcantara); Amnesty 36-year dataviz (@jwyg); Latinos in office (@UnivisionData); open source tools (@M_Mandalka); & more.