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.
Changing the way accountability stories are written takes research, preparation, listening and even a bit of psychology. In an excerpt from from a recent American Press Institute report, here are some recommendations from experts about persuasion and communications — as well as examples from news organizations that are using non-narrative, data and visual elements to make the best of journalism better for audiences.
More than 20 journalists worked across four countries to uncover the hidden abuses behind the production of sugar, cacao, bananas, coffee and African palm with slave-like conditions for workers, illegal business practices and sustained environmental damage. Here’s how they did it.
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.
As our governments and businesses become increasingly flush with information, more and bigger data are becoming available from across the globe. Increasingly, investigative reporters need to know how to obtain, clean, and analyze “structured information” in this digital world. Otherwise, they and the news organizations they work for will miss some of the most important stories of our time. Even in relatively closed societies, journalists can now work their way from the outside in, using international data sets to reveal what’s happening in their home countries. Here is a list of resources to get you started, but we want to keep updating our community with the best resources available.