This week GIJN’s Top 10 in Data Journalism features the Wall Street Journal’s dive into how COVID-19 changed the daily lives of Americans, the Straits Times on Singapore’s gold medal history at the Southeast Asian Games, and how data journalists visualized the coronation of King Charles III.
The Uber Files leak contains reams of data and documents that detail the inner workings of the ride-hailing company, and has led to a global investigation into the firm’s practices. Also in this week’s edition of the top 10 stories in data journalism, we look at the dubious legacy of the UK’s scandal-hit leader Boris Johnson, the reconstruction of Notre-Dame cathedral, and the widespread epidemic of US gun violence.
It’s never been easy to find a job as an investigative journalist, but here six award-winning reporters based in countries from India to Peru give their tips for breaking into the industry.
Tracking some of the most popular data journalism stories on Twitter from August 23 to 29, we found a thread by Financial Times journalist John Burn-Murdoch exploring what we know so far about the long-term effects of immunizations, a look into the pandemic’s impact on the global female workforce by The Washington Post, and an investigation into teen pregnancies in Peru by OjoPúblico.
Governments around the world, some which have sent workers home, are announcing interruptions in responding to freedom of information requests. Journalists are being told to expect delays in more than a dozen countries. But press freedom advocates warn that countries are taking big steps backward just when the free flow of information is most needed. GIJN’s Toby McIntosh rounds up some of the nations which have been affected.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from November 5 to November 11 finds employment problems in the UK from @FinancialTimes, Polish data counter-narratives with @gazeta_wyborcza, cool geospatial analysis toys from @Uber, plus the launches of new data labs with @AlterEco_, data articles with @fstalph and @eborgesrey and data newsletters with @voydorg_en.
