Thursday, May 8, 2014

Examples of CNN's Data Journalism

Peter Bale, CNN's Managing Director, UK described data as an "early warning" system at the  Big Data for Media conference on May 8 in London, sponsored by World Newsmedia Network and Reuters Institute for the Study of Journalism Thanks to such tools like Dataminr, a real-time information stream that helps monitor events around the world. He also advised participants to look into Jana Marketplace (http://www.jana.com/). He believes that mass data can "get the wisdom of crowds".

He warned that for many years the general wisdom was that: reporter + calculator = correction. And he warned that unless you are really good with numbers and analysis, you need to be extra-cautious.

Using Data as an early warning system gives you the following:
- Notification - a head's up
- Validation - chatter vs major source
- Verification - multiple reliable sources and location
- Activation - where normal sourcing or deployment applies

According to Bale, mass data gives the reporter the opportunity to find out what people really think and to do so "with thousands not dozens, in many countries in a cost-effective way ." It also allows you to participate in the mobile economy, to innovate with data and platformds.

Bale showed several cases like the Post-Mandela survey that CNN conducted with Jana (http://edition.cnn.com/2013/12/13/world/africa/africa-post-mandela-survey-jana) only few days after Mandela's death. The survey was conducted via mobile phones asking citizens of South Africa about the way they see the future in the country after Mandela's death. The survey tested 9285 people. 

According to Bale, presentation is key to data story-telling but he warned that "what works online may not work on TV." Reporters should also focus on quality: multiple reliable sources and location. 

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