Data-driven journalism differs from traditional journalism in that it treats data as a source (instead of a person) and uses this digitized data to look for patterns in it. It can be as simple as creating tables, graphs, online spreadsheets and info graphics to including more complex things such as the application of data science to the practice of journalism and the creation of news apps that allow people to explore this collected data. Most importantly it is a different attitude towards the data.
With the way the world has changed because of explosive adoption of mobile and social technologies, the dynamics of how the news is shared has changed. The role of journalists has shifted, because now anyone can share what they are seeing. Journalists are no longer the only ones who can report, comment and add content and expertise to news-worthy events. Because of this, journalists are now working with the people who were formerly their "audience" to fact check and verify information - sharing collectively online to create something more cohesive about why things are happening. The fact that people can share what they are experiencing or seeing around the world creates a society that has become quite "leaky" and presents a real security concern for the government as they navigate the difficult waters of what types of data should be open.
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