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d|Bootcamp Nairobi 2014 - Digital and Data Journalism - BBC and Beyond
- 1. Digital and Data Journalism -BBC and beyond Huw Owen - Nairobi 26th November 2014
- 4. How has the news model changed?
- 5. New Journalism Model Video Audio Text
- 6. New Journalism Model Social Video Audio Text Expert
- 7. New Journalism Model Social Open Chaotic Fast Shallow Video Audio Text Expert Closed Structured Slow Deep
- 8. New Journalism Model Social Video Audio Text Expert Story Specialism Story Specialism
- 9. The Data Journalism Challenge Social Finding the signal in the noise Finding patterns in the numbers Expert Expert
- 10. The Data Journalism Challenge Social Finding the signal in the noise Make it connect Personal, relevant, engaging Finding patterns in the numbers Expert Expert
- 11. Data Journalism at the BBC Focus on depth and analysis Focus on government and public data sets Provide personalisation and encourage interactivity
- 16. How did we do it? Lead Correspondent External experts - health watchdog Visual Journalism expert Social Media Expert - Facebook Page Community Manager
- 17. Learning Lot of initial set up between BBC and NHS teams Project management - RACI Editorial issues - trust, taste, authority v authenticity Cross media promotion boosts impact Personalisation drives engagement
- 18. UNICEF Citizen Engagement Mobiles distributed throughout Uganda Citizen journalists answer surveys vie free SMS Exchange views on social policy Further discussion on radio and in print Influencing policy makers
- 20. Next Steps Extending to many new countries Improve website user experience and interactivity Additional of rich media - photos, audio, video
- 21. New Journalism/Communication Model Social Fast Shallow Video Audio Text Expert Slow Deep Specialism Specialism
- 22. What do you need to execute? ✤ Where does your expertise lie? ✤ Who can help you find, tell and sell your story? ✤ Cost/Benefit - how much time for how much impact? ✤ What are you going to stop doing? ……………..………now, where’s that story?!
- 23. What’s the story? Can you summarise it in one simple sentence? Who’s interested - do you really know your audience? Can it create an emotional connection/engagement? Who’s the story about, who are the characters? Why, how - can the data tell us even more?
- 24. What’s the story? Who’s best/worst? What’s changed? Why? Are you stretching the truth Mr/Mrs Representative? Have you kept your promise? Is your plan working? Look at the difference, depending where you live/work Why is the data incomplete/missing? What human effect is the data having, reactions? Relationships - why does this go up and that go down? What’s going up/what’s going down? Ref: Paul Bradshaw, Data Journalism Heist 2013
- 25. It’s too complicated! We work with data every day Keep it simple, stay focused on one or two data sets Don’t forget the journalism Data is just one source - where’s your second?
- 26. What next? Increasing use of video, particularly on mobile Increasing use of data animation Much better personalisation The internet of things
- 27. Asanteni!