Data Journalism Top 10: Europe’s Drying Rivers, US Student Debt, Revisiting the Moon, Censoring Big Bang Theory

Our weekly analysis of the most popular data journalism stories on Twitter features the mapping of Europe’s drought-stricken rivers, NASA’s plans to return to the moon, how the war in Ukraine compares to other modern conflicts, tracking a stolen truck, and examining Chinese censorship of foreign content with edited episodes of The Big Bang Theory.

GIJN Toolbox: Satellite Data, Tracking Usernames, and Facial Recognition

In this edition of The GIJN Toolbox — which surveys the latest tips and tools for investigative journalists — we’ll take a look at the process of analyzing satellite imagery derived from infrared radiation, a technique The New York Times used to cover a West Coast wildfire. We’ll also explore the controversial practice of using facial recognition technology, how to request NASA satellite data, a new document search tool from Google, and more.

This Week’s Top 10 in Data Journalism

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from March 12 to 18 finds disturbing news from @NASAEarth about low Arctic sea ice and temperature anomalies in the North Pole, @seeingtheory ‘s redesigned educational website on probability and statistics and top ten ways to clean your data by @Microsoft.

Top Ten #ddj: The Week’s Most Popular Data Journalism Links

Here are the top data journalism tweets for March 20-26, per our NodeXL mapping: record low Arctic ice (@NASA); Europe’s STEM gender issue (@MSFTnews); satellite imagery search (@ddjournalism); Western Europe terrorism (@TheEconomist); storm #dataviz (@sciam); data resources (@jschwabish); & more.