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Big data, live data, user data: BBC Future

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Slides from a talk at the BBC, September 2014

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Big data, live data, user data: BBC Future

  1. 1. #sousveillance #bbcfuture @PaulBradshaw, Online Journalism Blog, HelpMeInvestigate Birmingham City University and City University London BBC Future Day, September 2014
  2. 2. ! http://www.youtube.com/watch?v=Y0pPfyYtiBc
  3. 3. ! </caveat>
  4. 4. 1. Big data 2. Live data 3. User data
  5. 5. 1. Big data 2. Live data 3. User data
  6. 6. VS.
  7. 7. ! FIGHT!
  8. 8. Daniel Ellsberg: $20,000.00 Bradley Manning: $0,000.18
  9. 9. Daniel Ellsberg + friends and family: over 1 year Bradley Manning: 5 minutes
  10. 10. Daniel Ellsberg + friends and family: over 1 year Bradley Manning: 5 minutes (would have taken Ellsberg 18 years to copy) http://helpmeinvestigate.com/blog/the-leak-movement-this-machine-kills-secrets/
  11. 11. #OffshoreLeaks “More than 160 times larger than the leak of U.S. State Department documents by Wikileaks in 2010.” http://helpmeinvestigate.com/blog/the-leak-movement-this-machine-kills-secrets/
  12. 12. http://www.themediabriefing.com/article/evolution-in- the-workflow-how-wgsn-brought-together-two-global- fashion-forecasters
  13. 13. No story too big? “No journalist was able to do the story because each month’s data was 2GB and you can’t open that in Excel.” Nicola Hughes, prescriptions story, The Times http://billyehrenberg.tumblr.com/post/85211771230/what-skills-do-you-need-to-survive-in-the-future-of
  14. 14. Multiple comparisons problem “When reading a study, you can only account for multiple comparisons when you know about all the comparisons made by the investigators.” http://www.graphpad.com/guides/prism/6/statistics/index.htm?beware_of_multiple_comparisons.htm
  15. 15. 1. Big data 2. Live data 3. User data
  16. 16. Adrian Holovaty “Each weekday, my computer program goes to the police department’s website and gathers all crimes reported in Chicago.”
  17. 17. http://2014.okfestival.org/okfestival-2014-stories-thought-experiments- in-sensor-journalism-notes-from-a-sensor-journalism-workshop- at-okfest14/ http://radar.oreilly.com/2013/03/sensor-journalism-data-journalism. html
  18. 18. http://www.bbc.co.uk/ontologies/storyline
  19. 19. 1. Big data 2. Live data 3. User data
  20. 20. LA Times’s responsive design “The best thing to serve each user, based on all the information we know about them … editors [can] override those choices.” ! http://www.fastcodesign.com/3036091/the-next-big-thing-in-responsive-design
  21. 21. Telematics + the ‘fifth screen’ http://www.autonewscast.com/2008/10/25/nissan-to-pilot-intelligent-transport-system-model/
  22. 22. Public Lab + sensors “Authorities were blocking photographers [&] news helicopters. Public Lab relied on weather balloons and kites with digital cameras.” http://towcenter.org/sensors-and-journalism-public-lab-homebrew-hardware/
  23. 23. WNYC: Audience involvement http://project.wnyc.org/cicadas/ http://www.niemanlab.org/2013/06/the-cicadas-are-here-4-lessons-from-wnycs-cicada-tracker-project/
  24. 24. Washpo: ShotSpotter http://www.washingtonpost.com/investigations/shotspotter-detection-system-documents-39000-shooting-incidents-in-the-district/ 2013/11/02/055f8e9c-2ab1-11e3-8ade-a1f23cda135e_story.html
  25. 25. 1. Big data: more of it in all industries, but needs holding to account too. 2. Live data: what systems to alert, report, utilise? 3. User data: connect, engage, mobilise, sousveillance?
  26. 26. Thank you. https://www.flickr.com/photos/gaspi/12944421 @PaulBradshaw, Online Journalism Blog, HelpMeInvestigate Birmingham City University and City University London BBC Future Day, September 2014

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