What’s the data driven journalism (#ddj) crowd tweeting about? Here are the week’s Top Data Journalism Links on Twitter (for February 6-12). This week our links include items from Morgenpost, Más Investigación, and Twitter blog, among others. Thanks to Marc Smith of Connected Action for gathering the links and graphing them.
What’s the data driven journalism (#ddj) crowd tweeting about? Here are the week’s Top Data Journalism Links on Twitter (for January 30-February 5). This week our links include items from HybLab, the Verification Handbook, and GIJN, among others. Thanks to Marc Smith of Connected Action for gathering the links and graphing them.
What’s the data driven journalism (#ddj) crowd tweeting about? Here are the week’s Top Data Journalism Links on Twitter (for January 23-29). If you click on an image, you’ll be redirected to GIJN’s new Pinterest board, where you can find links to the stories.
This week our links include items from the Global Editors Network, Journalism.co.uk, Askmedia.fr (and GIJN’s own data resource page in Spanish. Thanks to Marc Smith of Connected Action for gathering the links and graphing them.
In Kenya’s poor, dry Turkana region, recent discoveries of water and oil could change the lives of residents who depend on food aid for survival. In March 2012, the country’s President Mwai Kibaki announced that oil had been discovered in Turkana after exploratory drilling by an Anglo-Irish oil firm. And last year, UNESCO announced that large reserves of groundwater had been discovered in the drought-ridden area. How much will the new resources help Kenyans, and how much of the new wealth will flow back to European investors? The answer is complex, but a team of data journalists is working to make it more clear. Land Quest, a cross-border investigative journalism experiment which launched last week in beta, is using data to illuminate the competing financial interests in Kenya. It maps the flow of aid money from Europe to Kenya, and the flow of profits from Kenya back to Europe.
This intriguing graph depicts a network of 989 Twitter users whose tweets from January 13 to 24 contained the hashtag “#ddj” (data-driven journalism). We’re pleased to see that our site gijn.org was among the top domains and our data journalism resource page among the top URLs that appeared. This work is the brainchild of Marc Smith (@marc_smith), a sociologist of “computer-mediated collective action” who, among his varied activities, maps social media networks that reveal “the key people, groups, and topics discussed in a public conversation.”
Sounds like the title of a cheesy TV series; but this is a riff off the Tow Center at Columbia University’s excellent report on Post-Industrial Journalism.Scarecrow
In it, the authors talk about the need for both steady, incremental, regular coverage of issues – “scarecrow”‘ journalism that discourages wrongdoing via the potential threat of exposure – as well for more episodic, deeper, investigative reporting that uncovers actual wrongdoing – “watchdog” journalism.
