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d|Bootcamp Nairobi 2014 - Digital and Data Journalism - BBC and Beyond

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Prepared and presented by Huw Owen at the d|Boootcamp Nairobi 2014.

Published in: Data & Analytics
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d|Bootcamp Nairobi 2014 - Digital and Data Journalism - BBC and Beyond

  1. 1. Digital and Data Journalism -BBC and beyond Huw Owen - Nairobi 26th November 2014
  2. 2. Lockerbie December 1988
  3. 3. Kenya November 2014
  4. 4. How has the news model changed?
  5. 5. New Journalism Model Video Audio Text
  6. 6. New Journalism Model Social Video Audio Text Expert
  7. 7. New Journalism Model Social Open Chaotic Fast Shallow Video Audio Text Expert Closed Structured Slow Deep
  8. 8. New Journalism Model Social Video Audio Text Expert Story Specialism Story Specialism
  9. 9. The Data Journalism Challenge Social Finding the signal in the noise Finding patterns in the numbers Expert Expert
  10. 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. 11. Data Journalism at the BBC Focus on depth and analysis Focus on government and public data sets Provide personalisation and encourage interactivity
  12. 12. NHS Winter http://www.bbc.co.uk/news/health-25055444
  13. 13. How did we do it? Lead Correspondent External experts - health watchdog Visual Journalism expert Social Media Expert - Facebook Page Community Manager
  14. 14. 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
  15. 15. 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
  16. 16. Next Steps Extending to many new countries Improve website user experience and interactivity Additional of rich media - photos, audio, video
  17. 17. New Journalism/Communication Model Social Fast Shallow Video Audio Text Expert Slow Deep Specialism Specialism
  18. 18. 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?!
  19. 19. 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?
  20. 20. 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
  21. 21. 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?
  22. 22. What next? Increasing use of video, particularly on mobile Increasing use of data animation Much better personalisation The internet of things
  23. 23. Asanteni!

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