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Data Journalism: Inside the global future

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Presentation from launch event for this new book, highlighting some of the key takeaways and lessons from the volume. You can buy the book via publisher Abramis: http://www.arimapublishing.co.uk/bookshopuk/bookinfo/book_184549663?bs=uk and on Amazon: http://amzn.to/1lwZGYJ

Publié dans : Technologie
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Data Journalism: Inside the global future

  1. 1. Highlights and key lessons Damian Radcliffe Carolyn S. Chambers Professor in Journalism @damianradcliffe #SOJCDDJ
  2. 2. 30 expert contributors 20 new chapters
  3. 3. Context
  4. 4. 1. Greater use of the power of data Across all walks of life – from politics to sport
  5. 5. 2. Not as new as you might think… Statistical chart invented by Florence Nightingale to show the predominance of disease as a cause of mortality in the British Army during the Crimean War. (April 1854 to March 1855 and April 1855 to March 1856) Been around for over 150 years...
  6. 6. You know nothing something John Snow “How often does a map change the world? In 1854, one produced by Doctor John Snow, altered it forever. In the world of the 1850s, cholera was believed to be spread by miasma in the air, germs were not yet understood and the sudden and serious outbreak of cholera in London's Soho was a mystery. So Snow did something data journalists often do now: he mapped the cases.“ http://www.theguardian.com/news/datablog /2013/mar/15/john-snow-cholera-map The other John Snow…
  7. 7. 3. Huge breadth and range Covering all genres and using many different comms styles
  8. 8. 4. Unprecedentedly large data sets 391,000 records Wikileaks' Iraq release UK: 170 million + records which can be explored for free Creating opportunities and challenges
  9. 9. 5. Global Practice Including: • Skills • Format of public data • Up to date data • Newsroom integration Data Journalists often face many of the same issues
  10. 10. 5 x Great Case Studies
  11. 11. 1. Analysis of news coverage 2015 UK General Election • Upwards of 170,000 articles in traditional media and over a million tweets analyzed. • 7,000 /30,000 articles p/w. • Every tweet published by 3,290 political actors and influencers. • c.25,000 daily tweets and over 170,000 tweets p/w. • Weekly analysis.
  12. 12. 2. Conflicts of interest • Analysis of Local Government Pension Fund investment data. • 99 FOI requests. • Highlighted ethical dilemmas. • Councils seeking to make returns while also being arbiters on planning proposals in the nascent fracking industry.
  13. 13. 3. Perception vs Reality • Matteo Moretti and colleagues used data journalism to tackle Chinese migrant xenophobia in the Italian city of Bolzano. • The series about the "People's Republic of Bolzano” won Data Visualisation of the Year (Small Newsroom), at the Data Journalism Awards 2015 run by Global Editors Network.
  14. 14. 4. How US Intelligence budget is spent • Leaked by Edward Snowden, published by The Washington Post Aug 13. • US government has annually released its overall level of intelligence spending since 2007. • But ‘it has not divulged how it uses the money or how it performs against the goals set by the president and Congress.’
  15. 15. 5. “How Big Data Busted Abe Lincoln”
  16. 16. Implementation 5 x Tips
  17. 17. 1. Choice of tools/visual methods matters Impacts on readability, emphasis and representation
  18. 18. 2. Keep it simple As with journalistic writing, don’t be convoluted for the sake of it.
  19. 19. 3. Consider sustainability How easily can work be refreshed and updated to remain relevant?
  20. 20. 4. Show your workings Especially important if you’re going to criticize public bodies for not
  21. 21. 5. Remember you’re still a storyteller Data without context frequently tells us nothing.
  22. 22. Data Journalism in the future
  23. 23. 1. *Must* be mobile friendly Already a leading media device for many audiences
  24. 24. 2. Personalization Search + interrogation
  25. 25. 3. We will all need to be data literate It will no longer be “cool” to not get math or statistics.
  26. 26. 4. Includes knowing how to protect data Sources may all be electronic. So encryption matters.
  27. 27. 5. It won’t be called data journalism It will just be journalism
  28. 28. Thanks for listening Now buy the book! http://amzn.to/1lwZGYJ