Global Investigative Journalism Network (https://archive.gijn.org/category/data-journalism/page/51/)
Here are the top data journalism tweets for Mar 27- Apr 2, per our NodeXL mapping: interactive graphics (@driven_by_data); ridiculous news (@twisteddoodles); Malofiej Infographics Awards (@malofiej); Germany’s radio masts (@stimmeonline); Republicans voting with Trump (@FiveThirtyEight); & more.
Here are the top data journalism tweets for Apr 3-9, per our NodeXL mapping: #fakenews guide (@PublicDataLab); election bots (@d1gi); data story rules (@surendranb); China climate risk (@nytimes); UK jobs (@sole24ore); #PerugiaPledge (@dw_innovation); & more.
Here are top data journalism tweets for Apr 10-16, per our NodeXL mapping: Brittany’s posh hotels (@dataspotTLG); Flourish #dataviz tool (@FastCoDesign); US health insurance (@NPR); hexagonal Europe (@MusMekh); visual vocabulary (@ftdata); data internships (@ONS); China’s rising water (@kimmelman); & more.
Here are top data journalism tweets for Apr 17-23, per our NodeXL mapping: French voting (@lamontagne_fr); music festival gender (@pitchfork); mapping US homeless (@FastCompany); Scottish fact checking (@FerretScot); Spanish voting (@Politibot). tilegrams (@bhaskar_vk); & more.
Here are top data journalism tweets for Apr 24-30, per our NodeXL mapping: draw it yourself interactives (@br_data); visualizing Google searches (@albertocairo); opinion polls analysis (@SZ); Politibot’s graphics (@politibot); French election (@BIQdata); ProPublica jobs (@ProPublica); and more.
There is a huge amount of data available on pollution and disease caused by the Matanza River – widely known as River Riachuelo – the problem was transforming it into information that those affected could easily understand. In a special multimedia report, La Nación used open data and data visualization to illustrate the extent of the problem.
Here are top data journalism tweets for May 1-7, per our NodeXL mapping: delayed cherry blossoms (@TheEconomist); dataviz how-to (@albertocairo); 20 million starving (@washingtonpost); Munich route planner code (@Munichrocker); FB German filter bubble (@SZ); Open Data Index (@pinardag); and more.
Here are top data journalism tweets for May 8-14, per our NodeXL mapping: race against fastest marathoner (@alastairotter); mapping the ransomware attacks (@nytimes); French election data dive (@DataspotTLG and @ftdata); Alberto Cairo interview (@chytomo); and more.
What has the #ddj community been tweeting about? Our NodeXL mapping from May 15-21 includes North Korea’s targets (@PostGraphics), Wannacry’s ransomware spoils in real time (@TA_Interaktiv), Berlin’s space use in a gorgeous map (@tagesspiegel) and the White House guests (@Poynter & @Politico).
While your story can be true, it might be wrong. That’s what New York Times data journalist Robert Gebeloff explained at the recent European Investigative Journalism Conference & Dataharvest. Check out some of Gebleoff’s tips, and a data journalism checklist.