What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from January 14 to 20 finds a @FinancialTimes exposé of possible electoral fraud in Congo, @sxywu’s beautiful visualization of interaction data between a museum and the public, and @maartenzam’s the ultimate data visualization list to end all lists.
With the global spread of data journalism, the advent of artificial intelligence and the increasing use of big data moving alongside a rapid rise of disinformation, GIJN asked data journalism experts around the world what they anticipate for 2019. Here are their thoughts on the major trends, ideas and technologies that will affect how we do our jobs.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from January 7 to 13, 2019 finds @SZ’s analysis revealing how children’s books perpetuate gender stereotypes, @A24COM mapping the hottest crime spots and times in Buenos Aires, @dw_akademie offering a data journalism fellowship opportunity, and great chances to win awards from @WorldGovSummit and @GENinnovate’s Data Journalism Awards.
Inspired by the Graphic Continuum by Jon Schwabish and Severino Ribeca, the Financial Times graphic team came up with their own neat chart of visualizations. The Visual Vocabulary is a guide to help journalists pick the right type of visualization for their story.
In September 2017, the lead producer for the BBC Internet Research & Future Services, Tristan Ferne, identified 12 different story formats used in digital news. With new formats constantly emerging, Emma-Leena Ovaskainen, a visual journalist for Finland’s biggest daily newspaper Helsingin Sanomat, has modified the list and made her own additions.
Over the last few years, data and data analysis have taken on a new quality. Data and information is now a tool for creating beautiful visuals. What used to be simple charts and scatter plots are now complex and creative pieces of data art — some beautiful enough to hang up on your wall. Visme picked a collection of the best data visualizations of 2018.
It’s been an exciting year of great content and record traffic on GIJN. What follows is a curated list we’ve put together of the top pieces published on gijn.org in 2018 — from the deep web and deep fakes to design thinking and dataviz. See you next year!
It’s been a great year for data journalism and visualizations. GIJN’s Top 10 #ddj series captured snapshots of what’s popular on Twitter among the global data journalism community for 46 weeks in 2018. For this edition, we asked NodeXL to map 2018’s most popular #ddj tweets from January 1 to December 11 and the results are in. This year’s most popular tweets include @FinancialTimes’ ever-popular Visual Vocabulary chart, @Google’s Dataset Search, @hnrklndbrg’s eclectic visualizations, and @SZ’s analysis of Germany’s parliamentarians using laughter as a debate weapon.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from December 3 to 9 finds @BuzzFeedNews mapping wildfire prone areas across America, @dwnews dissecting the value of insurance against climate change, the release of @infobeautyaward winners, and @jschwabish teaching fourth grade kids the wonders of data visualization in fun and inventive ways.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from November 26 to December 2 finds @VRCCrimCam mapping London’s medieval murder hotspots, @geckoboard illustrating common data fallacies to avoid, @ddjournalism teases the beta launch of the Data Journalism Handbook 2.0, and @GoogleNewsInit displays its data journalism courses.
