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.
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.
Our weekly analysis of the most popular data journalism stories on Twitter highlights a story by Spanish newspaper El País analyzing early data on the omicron variant, plus stories on fake news and disinformation in Thailand, climate data, and a story on how artificial intelligence can judge your music taste.
When using data for investigative stories, it is important to learn how to obtain and clean the information. But it is also vital that you interpret your findings correctly and extract the right conclusions from the numbers, filters, and spreadsheets. If you do the math correctly but fail to read the answers properly, you may end up misleading your audience.
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.
When the COVID-19 pandemic first hit Brazil, a team of data journalists set out to illustrate what the death toll looked like by creating a data visualization that presented something beyond the numbers. The team considered various ways of displaying the story. Here’s a behind-the-scenes look at how they created At the Epicenter.
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.
Our NodeXL #ddj mapping from January 25 to 31 found interactive projects by the Australian Broadcasting Corporation and The Guardian analyzing these events. In this edition, we also feature environmental reporting by The New York Times and The Economist, a Wall Street Journal story on the GameStop Reddit mania that shook stock markets, and a visual representation of 2020 using Lego bricks.
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.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from October 29 to November 4 finds Google search voting predictions from @datavized, hurricane maps reimagined by @_KarenHao, and interactive commuter data from @WDR in Germany.
