How often is social media used as a source in news stories? Can a decision tree algorithm generate tens of thousands of 250-word stories? And what is belief-driven data journalism? These questions were at the heart of some of the promising projects featured at the 2019 Computation + Journalism Symposium.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from April 22 to 28 finds an interesting breakdown of colorism in fashion by @puddingviz, a series of gorgeous maps on natural disasters and extreme weather trends in the United States by @PostGraphics, a preview of a book on the history of infographics by @srendgen, and @UpshotNYT’s recap of its best articles from the past five years.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from April 15 to 21 finds an informative interactive tool about the health of our generation by @srfdata, a piece by academic @wsaqaf explaining how journalism can utilize blockchain for investigations, data visualization teaching materials by @R_Graph_Gallery, and a book draft on data feminism by @kanarinka and @laurenfklein.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from April 8 to 14 finds a zine focused on machine learning-powered investigative journalism produced by @bxrobertz, a video explainer from @FT on whether big corporations are really generous or just avoiding taxes, @knowtheory and @amandabee reviewing seven optical character recognition tools and @workbenchdata offering a tutorial on visualizing @Twitter data.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from April 1 to 7 finds @JuliaAngwin sharing do’s and don’ts of data journalism projects at @journalismfest, @elconfidencial highlighting the negative effects on Spain’s economy if women stopped working for a day, @azcentral and @USATODAY revealing just how many bills in the United States are copied from model legislations, and @justiceinfonet visualizing data on trials for the Rwandan genocide.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from March 25 to 31 finds @ajlabs visualizing air raids through sound, @infobae exposing secret dictatorship decrees in Argentina, @albertocairo presenting on how charts can be misleading and how to fix them, and @TheEconomist laying bare the “crimes” against data visualization they have committed.
The figures for Canada’s Jewish population dropped by half in five years. But nothing happened to this Jewish population. Rather, this is a perfect example of how careful we must be about data collection methods.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from March 18 to 24 finds a collection of beautiful news graphics by Megan Jaegerman curated by statistician @EdwardTufte, @tagesanzeiger’s quiz testing readers’ level of populist leanings, a new collaborative fact-checking effort by the name of @FactcheckEU, and @briromer’s interesting piece on maps that break strict geography rules.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from March 11 to March 17 finds @davduf’s award-winning exposé of Yellow Vest injuries in France, @theboysmithy making music out of the yield curve, and @alisonkilling on mapping two fictional migrants’ journeys to Europe.
GIJN invited data scientists and experts who have been focusing on data journalism in China for years to select the most noteworthy data news of 2018. Here’s what they told us.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from March 4 to 10 finds several interesting tools and feature releases: @FinancialTimes’ chartmaking tool, @datavized’s data sonification tool and a new feature on @Microsoft’s Excel app that converts printed tables into editable spreadsheets, as well as @alice_corona’s discussion of building 3D data experiences, and @alyssafowers coining the term “hedgehog maps.”
In Hungary, nonprofit news site Átlátszó has hired a full-time data team to create a wide range of data visualizations and data-driven stories, notably on corruption. Amanda Loviza spoke to the team’s leader Attila Bátorfy about his plans to raise the bar for data journalism in Hungary.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 25 to March 3 finds a @nytimes profile of its much admired data editor @amandacox; a flu tracker by @morgenpost; and a double dose of skepticism in @amandabee’s roundup of bad data interpretations and @albertocairo’s “How Charts Lie” book.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 18 to 24 finds a fun @FinancialTimes quiz that tests your ability to read charts, the creation of a @DataVizSociety to foster engagement in the data visualization community and data viz designer @fedfragapane’s analysis of Human Rights Protection data from 1950 to 2014.
Here’s a great place to start learning about how algorithms can enhance your work: A Columbia Journalism School professor has shared his course syllabus online, complete with exercises and examples of how algorithms have been used by journalists.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 11 to 18 finds learning opportunities from @utknightcenter and @WorldResources, while @Tagesspiegel and @correctiv_org ask who owns Berlin’s housing and @LacePadilla examines what makes a good visualization.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 4 to 10 finds exciting releases with a document analysis tool by @ICIJorg and an audio-driven visualization tool by @f_l_o_u_r_i_s_h, while @kloopnews highlights domestic labour imbalance in Kyrgyzstan and @davidottewell emphasizes that data journalism is not just for nerds in a corner.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from January 28 to February 3 finds @sciam highlighting a curious case of mapping cholera, @nbarrowman arguing that raw data is not as perfectly objective as imagined, @bbc tracking Trump’s performance, and @VismeApp compiling a list of the best data visualizations on climate change.
Journalists and data experts were busy last year attempting to quantify and analyze the criminal justice machine in the United States. Storybench cut through the noise and pulled out these 10 visualizations that best explain the world of criminal justice.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from January 21 to 27 finds @schemadesign and @GoogleTrends teaming up to visualize news cycles in 2018, the @washingtonpost’s flyover tour of the entire US-Mexico border and two interesting football-related visualizations: @ftblsm’s history of football and @NZZ’s analysis of whether football coaches Jose Mourinho and Julen Lopetegui should have been sacked.
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.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from December 31, 2018 to Jan 6, 2019 finds experts sharing their thoughts on machine learning in journalism with @storybench, @funkeinterativ and @webk1d’s useful tool to merge datasets, @pewresearch’s overview of female under-representation in online image searches, and an analysis by @EDNNews on corpses bodies sent back to El Salvador.
More than ever, investigative journalists need to understand electronic data to do their jobs. To find, extract, analyze and tell stories, increasingly they need to deal with spreadsheets, databases, and visualizations. Nils Mulvad (https://x.com/nmulvad) is an Investigative journalist based in Denmark, who has worked with data journalism for more than 20 years. Visit GIJN’s resource […]
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 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.
