China's Secret Fishing Fleet

Data Journalism Top 10: China’s Vast Fishing Fleet, Europe’s Internet Speed, Afghan Resources, and US Murders Rate

Tracking the most popular data journalism stories on Twitter from September 20 to September 26, using NodeXL mapping and our own human curation, we found investigations into burning oil in the Greek islands and heat-related deaths in German cities. In this edition, we also feature an exclusive story about China’s vast, secretive fishing fleet, a look at the US arms race, and an analysis of suspicious anomalies in the recent Russian election results.

Data Journalism Top 10: COVID’s Psychic Numbing, Disappearing Glaciers, Chemical Weapons, Homeschooling Fatigue, Basketball’s Three-Pointers

Homeschooling has presented many challenges to parents and legal guardians of children around the world, with many dissatisfied with the online learning experience. Our NodeXL #ddj mapping from April 26 to May 2 found a piece by Voxeurop highlighting that most people in Europe aren’t keen on their kids continuing to study remotely even if provided with the necessary materials and support. In this edition, we also feature an interactive project by the Guardian exploring disappearing glaciers, a look at Stephen Curry’s remarkable basketball records by The Washington Post, and an archive of publications using data sonification to tell stories.

GIJN’s Data Journalism Top 10: Your Health Data for Sale, Music & Politics, Predictive Journalism, AI Accountability, Data Women

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from November 11 to 17 finds an investigation by The Financial Times uncovering how private health information is being traded online by health sites to big advertisers, The Economist looking at the correlation between Americans’ music preferences and political leanings, The Bureau of Investigative Journalism investigating the government’s algorithmic decision-making, and the data community coming together to highlight excellent female data journalists.