Data journalism Overview

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A presentation for the Developing Caribbean conference. developingcaribbean.org

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Data journalism Overview

  1. 1. Open Data JournalismAlex@oreilly.com@digiphileradar.oreilly.com/alexh
  2. 2. 2013: a networked public sphere
  3. 3. Natural disasters
  4. 4. #Sidibouzid
  5. 5. #Jan25
  6. 6. How did we get here?
  7. 7. In the 1990s, government and civilsociety spread the Internet globally
  8. 8. In the 2000s, mobile phones and social networking connected us ever more
  9. 9. Open Journalism
  10. 10. Thestream
  11. 11. In the 2010s, big data will change everything again. Image Credit: Real Time Rome from Senseable.MIT.edu
  12. 12. An expanding number of data sources
  13. 13. Commercial and industry data
  14. 14. Social data and crisis data
  15. 15. Open government data platforms
  16. 16. Open data allows citizens to be generative in new ways
  17. 17. 230 apps now use or are based on open health data
  18. 18. What about journalism?
  19. 19. “We used to call it CAR”-DeBarros Bob Woodward, via Cliff1066
  20. 20. “Data-driven journalism is the future” Source: Tim Berners-Lee in the Guardian
  21. 21. Is “data journalism” justcomputer assisted reporting (CAR)? • Spreadsheets • Databases • Text and code editors • Statistics
  22. 22. “Trendy but not new”-Simon Rogers, Guardian
  23. 23. Show, don’t tell A “Sankey diagram”
  24. 24. What’s changed?• Online spreadsheets and data tools• Data visualization tools• Open source frameworks• Code sharing• Agile development• Cloud storage and processing (EC2 &Heroku)• The amount of data
  25. 25. “Newspapers are either going to start doing what we do, or theyre going to be bypassed and out of date.” -Elliot Jaspin That was 1986, in Time.
  26. 26. More than 36 interactive databases publishedData sets account for 75% of overall traffic [Source: CJR]
  27. 27. Global leaders
  28. 28. ProPublica
  29. 29. A tangled web
  30. 30. Dollars for Docs
  31. 31. New York Times
  32. 32. “Make small things faster, make big things possible.”-Derek Willis, NYTTimesMachine.nytimes.com cost a few hundred dollars. Hosted on Amazon EC2.
  33. 33. The Guardian
  34. 34. Guardian Datablog
  35. 35. Chicago Tribune• Flame retardants
  36. 36. Center for Public Integrity
  37. 37. International Consortium of Investigative JournalistsOffshoring $ 80 journalists 40 countries 260 gigabytes 2.5 million files
  38. 38. Reuters: Connected China
  39. 39. La Nacion
  40. 40. Storytelling still matters.“We use these tools to find and tell stories. We use them like we use a telephone. The story is still the thing.” - Anthony DeBarros USA Today Source: Data Journalism and the Big Picture
  41. 41. Los Angeles Times
  42. 42. SOPA Opera
  43. 43. Best practices?
  44. 44. Understand the context for the data
  45. 45. Show your data
  46. 46. Show your work
  47. 47. Share your code
  48. 48. Plan for reuse
  49. 49. Build on open standards
  50. 50. Citizen-centric
  51. 51. Keeping citizens safe“Traffic on the NYC Health Department’srestaurant inspection site has gone from10,000 hits per month to 124,000” - New York Times
  52. 52. Make data find the people.
  53. 53. Helps citizens who need it most
  54. 54. Privacychallenges
  55. 55. Security challenges• Protect your sources? Protect your data!
  56. 56. Bridge thedata divide Digital signage on the cheap
  57. 57. FOIA &Press Freedom
  58. 58. Fauxpen DataIn an age of “openwashing”…We need to:Evaluate licenses.Peruse the Terms of Service.Review the governance.Look at community.Check the format.
  59. 59. Wired Italy
  60. 60. Emerging trends
  61. 61. Political tensions over open data• Gun map graphic
  62. 62. Robo-journalism?
  63. 63. Data journalists, meet civic hackers Source: BuzzData
  64. 64. Now it’s “Hacks and Hackers”Photo by Dennis Crowley, from “Hack to Hacker: Rise of the Journalist-Programmer”
  65. 65. Homicide Watch
  66. 66. Citizens as Sensors: Andhra Pradesh
  67. 67. Citizensourcing
  68. 68. Makers and open source hardware
  69. 69. Safecast open source Geiger counter
  70. 70. Networked accountability
  71. 71. Sensor Journalism
  72. 72. “If Stage 1 of data journalism was “find and scrape data,” then… Stage 2 was “ask government agencies to release data” in easy to use formats. Stage 3 is going to be “make your own data”, and those sources of data are going to be automated and updated in real-time.” -JavaunMoradi, NPR
  73. 73. Data creation
  74. 74. Data journalism with a purpose
  75. 75. Co-create a stronger union
  76. 76. Government of the people, for the people, by the people, with the people.

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