Global Investigative Journalism Network (https://archive.gijn.org/tag/ddj/)
GIJN’s weekly round-up of the Top 10 in Data Journalism looks at the Wagner Group’s vast corporate network in Russia, the many careers of Barbie, and Spain’s surprising election results.
This week’s Top 10 in Data Journalism features stories on the record-breaking global heat, popular French baby names, Russia’s war dead, and the likely breakout stars of the 2023 FIFA Women’s World Cup.
This week’s Top 10 Data Journalism stories curated by GIJN includes projects on Turkey’s toxic earthquake rubble, Eurovision song metrics, US migration from coastal cities, and world leaders’ heights.
This week our top ten in data journalism features stories digging into the link between Ebola outbreaks and deforestation, on the stark impact of global warming on everything from crop yields to species loss, and the undeniable increase in the number of hot nights in Singapore.
Our weekly NodeXL and human curation of the most popular data journalism stories on Twitter features 2022 World Cup odds and carbon promises, the legal consequences of France’s #MeToo movement, and the problem of pig farm pollution.
Our weekly curation of the most popular data journalism stories on Twitter highlights non-fatal US police shootings, the rise and fall of COVID billionaires, racial disparities in internet service and road safety programs, and Minnesota’s great Halloween blizzard of 1991.
Without a primary visual medium, radio reporting has trailed other media formats in data journalism. But creative data solutions for radio are emerging — and experts shared a dozen tips to help radio reporters broaden their storytelling repertoires, populate digital versions of their stories with data, and empower listeners to visualize without visuals.
This week’s Top 10 in Data Journalism digs into noise pollution in megacities, the trade in stolen Ukrainian grain, Russian state propaganda about its invasion, abortion access in the United States, and devastating floods in Australia.
In this excerpt, drawn from “The Data Journalism Handbook,” GIJN’s Eunice Au and sociologist Marc Smith explain how the widespread use of the #ddj hashtag among data journalism communities has made it a prominent resource for sharing projects, as well as the ability to track the evolution of data journalism work.
В этом отрывке из «Справочника по журналистике данных» Юнис Оу из GIJN и социолог Марк Смит объясняют, как широкое использование хэштега #ddj в сообществах журналистов данных способствует обмену проектами, а также дает возможность отслеживать эволюцию журналистики данных.