Global Investigative Journalism Network (https://archive.gijn.org/category/data-journalism/page/48/)
What’s the data-driven journalism crowd tweeting? Here are top links for Oct 3-8: spy plane viz (@BuzzFeedNews); ggplot2 (@jburnmurdoch); graphics origins (@cjgiaimo); open source search tools (@OpenSemSearch); East & West Germany differences (@rick_n); Colombia drinking water (@eltiempo); & more.
What’s the data-driven journalism crowd tweeting? Here are the top links drawn from tweets during October 10-15: infographic sketches, the growth of data journalism, the Tapestry Conference, using Googlescraper, conflicts over water, and an Olympics dataviz.
What’s the data-driven journalism crowd tweeting? Here are top links for Oct 17-22: challenging dataviz assumptions (@eagereyes); Clinton/Trump facial analysis (@TheEconomist); R & RStudio (@mjfrigaard); pharma money (@srfdata); code database (@srfdata); German lobbyists (@tagesspiegel); & 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.
Journalism is by definition investigative. However, the depth and scope of possibilities to unearth and bring to light wrongdoings of public interest has increased manifold, thanks to the way the Internet has been evolving in the last decade. To be a true investigative reporter today, it is indispensable to fine-tune the old philosophy with three new practices: be Open, Systematic and Safe.
The paper trail has changed — money now moves digitally and business registries are databases — and this lets journalists do more than ever before in tracking people and companies across borders. Here’s a useful list of which business databases to start looking into if you’re background companies in China, India, and the Philippines.
What’s the data-driven journalism crowd tweeting? Here are top links for Oct 31-Nov 6: election maps vs. cartograms (@LazaroGamio); US political geography (@nytgraphics); data pitfalls (@journalismnews); affordable healthcare (@sangerkatz); French literary awards @dataletemps); & more.
What’s the data-driven journalism crowd tweeting? Here are top links for Nov 7-13: guide to be a data journalist (@willems_karlijn); infobeautyaward winners (@ddjournalism); bulletproofing data course (@ejcnet); data pitfalls (@journalismnews); EU & US economic data (@github); & more.
What’s the data-driven journalism crowd tweeting? Here are top links for Nov. 14-20: #USElection2016 (@visualisingdata, @simplystats); mapping Turkish women murders (@FemicideMap); polarized America (@LazaroGamio); visual vocabulary (@martinstabe); drug overdose deaths (@nytgraphics); & more.
What are the hot data journalism tweets? Here are top links for Nov. 21-27: Korea president scandal (@ReutersGraphics); post-truth questions (@nicolaskb); UK beneficial ownership (@Global_Witness); exhaust data (@paulxmccarthy); dataviz catalog (@SR_Visual_Info); Turkish schools (@dagmedya) & more.