Global Investigative Journalism Network (https://archive.gijn.org/tag/housing/)
In this week’s Top 10 in Data Journalism, GIJN features a look at racial and gender bias in generative AI, how targeted advertising labels consumers, remote work trends post-pandemic, and the nascent Korean space industry.
In the week in which International Women’s Day is celebrated worldwide, data teams around the world took the opportunity to explore issues related to women, whether mapping streets named after women in Europe, analyzing leisure spaces they are able to enjoy in Southeast Asia, or the distances needed to travel for abortion access in the US.
Our weekly NodeXL and human curation of the most popular data journalism stories looks at mapping migrant deaths in Singapore, tracking Russian airstrikes and Ukraine power outages, “authorized deforestation” in Mali and Côte D’Ivoire, and analysis of the best value when skiing in Switzerland.
Our most popular data journalism stories of the week highlight a project cataloging Indigenous remains in the US that have yet to be repatriated, a look into the socioeconomic disparities between French school districts, a deep dive into how caste discrimination affects India’s academia, and a German examination of 100 years of student housing.
This week’s Top 10 in Data Journalism looks at the impact of the Ukraine war on the food prices around the world, inequality in radiotherapy access in Spain, the cost of breastfeeding for women, how going viral on TikTok can bring career success, and the places Germans can go for €9.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from December 2 to 8 finds The New York Times visualizing particle pollution in augmented reality; various media outlets investigating #29Leaks, a global reporting project based on a massive data leak from an offshore services provider; Columbia Journalism Investigations and ProPublica digging into the problem of sexual predators lurking in dating apps; and The International Consortium of Investigative Journalists breaking down the significance of the China Cables.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from August 12 to 18 finds information designer Giorgia Lupi discussing how to embrace data complexity, The New York Times Opinion building a forking path visualization to predict an individual’s political leanings, the Guardian visualizing Brexit’s potential impact on the UK’s food imports, and El Universal Mexico looking at the incidences of crime claiming young victims.