In the newest post of GIJN’s series “My Favorite Tools,” French-British journalist Olivier Holmey interviews Roman Anin, the 33-year-old founder and editor-in-chief of IStories, a nonprofit Russian investigative news site. Anin discusses how he has used import/export data from the UN, as well as encryption software and data cleaning applications, in his investigations.
For our series about journalists’ favorite tools, we spoke with veteran American investigative reporter Ron Nixon. Now the global investigations editor for The Associated Press, Nixon shared the most important tools he uses for research, secure communications, and data analysis on many of his groundbreaking investigations.
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.
Using image analysis tools on their own means nothing without asking the right questions. AJ Labs experimented with Google Vision API, a machine-learning technology, to analyze images used by Al Jazeera over the course of last year. They hope to integrate the technology into their newsroom in the future to make processes easier for their journalists.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from February 12 to 18 finds @MattLWilliams discussing the ethics of publishing Twitter content, @MaryJoWebster explaining several common “dirty data” problems and @MediaShiftOrg showing examples of the powerful impact of small data teams in newsrooms.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from October 16 to 22 has @Sage_News analyzing data journalism practices over the past four years, data expert @albertocairo weighing in on uncertainty in interpreting graphics, @tristanf listing 12 new digital story formats for news and @R_Graph_Gallery’s inspiring Python Graph Gallery.
What’s the global #ddj community tweeting about? Our NodeXL mapping from June 5 to 11 includes #VisualTrumpery from @mcrosasb, analysis of Theresa May’s election disaster by @GuardianVisuals, dataviz structuring strategies from @eagereyes, and school enrollment woes in Delhi from @htTweets.
Here are the top data journalism tweets for March 13-19, per our NodeXL mapping: #NICAR17 resources (@MacDiva); Breitbart network analysis (@CJR); climate change calculator (@FT); Trump’s Budget (@washingtonpost); Berlin pickpockets (@berlinerzeitung); Caracas jobless (@CamburYMedio); & more.
What’s the data-driven journalism crowd tweeting? Here are top links for Oct 24-30: Clinton/Trump facial analysis (@benheubl ); 10K edits to Clinton/Trump Wikipedia pages (@chrisalcantara); Amnesty 36-year dataviz (@jwyg); Latinos in office (@UnivisionData); open source tools (@M_Mandalka); & more.
The story published in the Washington Post’s Wonkblog ended up being about race, but it didn’t start out that way. Nick Diakopoulos, who leads the lab, wrote for the Wonkblog last year with a story on how surge pricing motivates Uber drivers to move to those surging areas, but does not increase the number of drivers on the road as Uber claims.
