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Mac373 med312 data journalism lecture


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Slightly updated slides (Apr 2013)

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Mac373 med312 data journalism lecture

  1. 1. Data JournalismMAC373/MED312twitter/
  2. 2. 2009 #iranelectionImage: Gilad Lotan, ReTweet Revolution2
  3. 3. Anatomyofatweet3
  4. 4. Overview Intro Database Journalism and Computer Assisted Reporting Data Today : Visualisations and Interactivity How To Be A Data Journalist Ethics?4
  5. 5. Recent hype Data Journalism Meta Journalism Visualisation Infographics Mash Ups5
  6. 6. Adam Westbrook “I think data-driven journalism is one of the big potentialgrowth areas in the future of journalism. A lot of the forward-thinking discussion about the future of news focuses on the„glamorous‟ possibilities, like video journalism andinteractivity, but I often see data journalism being ignored. In fact, I believe it is journalism in its truest essence:uncovering and mining through information the public donot have enough time to do themselves, interrogating it,and making sense of it before sharing it with the audience. Ifmore journalists did this (rather than relying on „data‟ frompress releases) we would be a far more enlightened public.6Source link
  7. 7. Adam Westbrook My message to the next generation of journalists - or anyjournalist looking for a new niche or direction - would beto learn the skills and tools of data interrogation. It‟s notglamorous, but it‟s a skill not many journalists have, andone which will give one an edge in the market.”7Source link
  8. 8. Brian Storm One of our big goals in the storytelling process is tohumanize the statistics. It‟s hard for people to care aboutnumbers, especially large numbers. How do you get yourhead around the death of 800,000 people in theRwandan genocide? I think if you meet the individuals -see and hear the stories of the survivors - you can gain abetter insight into the tragedy.8Source link
  9. 9. “Data-driven journalism is the future” “[Journalism’s] going to be about poring over dataand equipping yourself with the tools to analyse itand picking out whats interesting. And keeping it inperspective, helping people out by really seeingwhere it all fits together, and whats going on in thecountry.” Sir Tim Berners-Lee, inventor of the Web, 20109
  10. 10. Origins 1950s Database Journalism Computer Assisted Reporting (CAR) Very expensive10
  11. 11. 11The Indianapolis StarCapital Journal circa 1961
  12. 12. NewYorkTimesNewsRoom12
  13. 13. CBS: 1952, Walter Cronkite Presidential election battle Eisenhower vs Stevenson Remington Rand UNIVAC Early vote returns analysis Predicted a landslide victory Contrary to popular opinion13
  14. 14. Philip Meyer, Precision Journalism 1969: a journalist must make use of databasesand surveys 2002: “a journalist has to be a databasemanager”14
  15. 15. Other notable examples Clarence Jones, The Miami Herald, 1969 Criminal Justice systems David Burnham, The New York Times, 1972 Police crime rates Elliot Jaspin, The Providence Journal, 1986 School bus drivers and criminal records Bill Dedman, The Atlanta Journal, 1988 Pullitzer Prize for The Color of Money15
  16. 16. Not Database – Just Data?16
  17. 17. 17
  18. 18. 18
  19. 19. 19Since 2004
  20. 20. 20
  21. 21. Adrian Holovaty (2005) Chicago Transport Authority map + Firefox plug-in +Google Maps = real time updates Chicago Police Department + Google Maps = real timepolice reports21
  22. 22. Adrian Holovaty (2006) Now working for the Washington Post A fundamental way newspaper sites need to change Most material collected by journalists is: "structured information: the type of information that can besliced-and-diced, in an automated fashion, by computers”22
  23. 23. Adrian Holovaty (2006)Traditional journalism Articles as the finishedproductData journalism Continually maintainedand improved23Radical overhaul needed- Employing data- Making data available- Storing data- Coding data==
  24. 24. Maps Everywhere!24
  25. 25. 25
  26. 26. 26
  27. 27. Maps Everywhere! 2007 – Holovaty won $1.1 million from the KnightFoundation for Everyblock 2010 – SR2 Blog won‟s „most inspirationalsite‟ accolade27
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  29. 29. 29link
  30. 30. 30link
  31. 31. 31Link
  32. 32. Interactivity Transport For London API Icelandic Ash Cloud and plane tracking AlJazeera‟s coverage of War on Gaza using Ushahidi Guardian‟s Twitter map of Middle East BBC Interactive on the Spending Review32
  33. 33. Bella Hurrell, Specials Editor with BBCNews Online (2011) Proximity of “journalists, designers and developers allworking together, sitting alongside each other”33
  34. 34. Bella Hurrell, Specials Editor with BBCNews Online (2011) “We have found that proximity really important to thesuccess of projects. Although we have done this for awhile, increasingly other organisations are reorganisingalong these lines after coming to realise the benefits ofbreaking down silos and co-locating people with differentskillsets can produce more innovative solutions at afaster pace.”34
  35. 35. Bella Hurrell, Specials Editor with BBCNews Online (2011) “As data visualisation has come into the zeitgeist, and wehave started using it more regularly in our story-telling,journalists and designers on the specials team havebecome much more proficient at using basicspreadsheet applications like Excel or Google Docs”35
  36. 36. Paul Bradshaw36
  37. 37. Paul Bradshaw37 “It represents the convergence of a number of fieldswhich are significant in their own right - from investigativeresearch and statistics to design and programming. Theidea of combining those skills to tell important stories ispowerful - but also intimidating. Who can do all that?”
  38. 38. Paul Bradshaw38 “It represents the convergence of a number of fieldswhich are significant in their own right - from investigativeresearch and statistics to design and programming. Theidea of combining those skills to tell important stories ispowerful - but also intimidating. Who can do all that?” “The reality is that almost no one is doing all of that, butthere are enough different parts of the puzzle for peopleto easily get involved in, and go from there”
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  40. 40. Dealing with Data (Bradshaw, 2010)4 crucial aspects401. Finding data2. Interrogating data3. Visualizing data1. Mashing data
  41. 41. Link41
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  45. 45. Data visualisation vs data journalism45
  46. 46. 46Video
  47. 47. New Tools of the Trade?Analysis Excel or Calc sort your data Google Refine clean your dirty data Yahoo Pipes Composition mash-up tool ScraperWiki transforms info from webpagesinto data R Process and manipulate dataVisualisation Google Fusion Tables visualise data on maps, timelines,etc Tableau Public Visualise and share IBM‟s Many Eyes data visualisation tool Processing create images & interactives Wordle generate word clouds from bulkytext47
  48. 48. Free tools…48
  49. 49. Free tools…49
  50. 50. 50
  51. 51. Summary Is this journalism? Journalism educators doing students a disservice? Journalists replaced by programmers? Wikileaks: no journalists required?51
  52. 52. Links and further reading Simon Rogers (2013) Facts are Sacred, London: Faber & Faber
  53. 53. 53Images Knight Foundation, 2008, Sir Tim Berners-Lee talking aboutthe Web at the Newseum Bill on Capitol Hill, 2007, The Rim and the Slot Marion Doss, 2008, Capital Journalism News Room 16October 1961 Igorschwarzmann, 2010, NYT News Room Mkandlez, 2009, The Billion Pound O Gram BitBoy, 2006, The Elephant in the Room Ravages, 2008, Links