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Slides used in Level 3 undergrad Media Ethics course. Looks at data(base) journalism and how to be data journalist

Slides used in Level 3 undergrad Media Ethics course. Looks at data(base) journalism and how to be data journalist

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  • [In last week’s lecture and workshops I talked to you about the dangers of inappropriate use of data sourced from social media platforms, making its way into the mainstream news agenda – and about how lives were put at risk as a result of the naivety of web users driving news stories and the people at the centre of them even further up the news agenda. This week I want to talk to you about how a relatively new form of journalism has been coming to prominence and what this might mean for journalists of the future. I want to talk to you about data journalism]

data journalism data journalism Presentation Transcript

  • Data Journalism
    MAC373/MED312
    twitter/rob_jewitt
    robert.jewitt@sunderland.ac.uk
    1
  • Overview
    Intro
    Database Journalism and Computer Assisted Reporting
    Data Today : Visualisations and Interactivity
    How To Be A Data Journalist
    Ethics?
    2
  • Recent hype
    Data Journalism
    Meta Journalism
    Visualisation
    Infographics
    Mash Ups
    3
  • “Data-driven journalism is the future”
    “[Journalism’s] going to be about poring over data and equipping yourself with the tools to analyse it and picking out what's interesting. And keeping it in perspective, helping people out by really seeing where it all fits together, and what's going on in the country.”
    Sir Tim Berners-Lee, inventor of the Internet, 2010
    4
  • Origins
    1950s
    Database Journalism
    Computer Assisted Reporting (CAR)
    Very expensive
    5
  • 6
    The Indianapolis Star
    Capital Journal circa 1961
  • New York Times News Room
    7
  • CBS: 1952, Walter Cronkite
    Presidential election battle
    Eisenhower vs Stevenson
    Remington Rand UNIVAC
    Early vote returns analysis
    Predicted a landslide victory
    Contrary to popular opinion
    8
  • Philip Meyer, Precision Journalism
    1969: a journalist must make use of databases and surveys
    2002: “a journalist has to be a database manager”
    9
  • 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 Money
    10
  • Not Database – Just Data?
    11
  • 12
  • 13
  • 14
    Since 2004
  • 15
  • Adrian Holovaty (2005)
    Chicago Transport Authority map + Firefox plug-in + Google Maps = real time updates
    Chicago Police Department + Google Maps = real time police reports
    16
  • 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 be sliced-and-diced, in an automated fashion, by computers”
    17
  • Adrian Holovaty (2006)
    Traditional journalism
    Articles as the finished product
    Data journalism
    Continually maintained and improved
    18
    Radical overhaul needed
    - Employing data
    - Making data available
    - Storing data
    - Coding data
  • Maps Everywhere!
    19
  • 20
  • 21
  • Maps Everywhere!
    2007 – Holovaty won $1.1 million from the Knight Foundation for Everyblock
    2010 – SR2 Blog won Guardian.co.uk’s ‘most inspirational site’ accolade
    22
  • 23
  • 24
    link
  • 25
    link
  • 26
    Link
  • 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 Review
    27
  • Bella Hurrell, Specials Editor with BBC News Online(2011)
    Proximity of “journalists, designers and developers all working together, sitting alongside each other”
    28
  • Bella Hurrell, Specials Editor with BBC News Online(2011)
    “We have found that proximity really important to the success of projects. Although we have done this for a while, increasingly other organisations are reorganising along these lines after coming to realise the benefits of breaking down silos and co-locating people with different skillsets can produce more innovative solutions at a faster pace.”
    29
  • Bella Hurrell, Specials Editor with BBC News Online(2011)
    “As data visualisation has come into the zeitgeist, and we have started using it more regularly in our story-telling, journalists and designers on the specials team have become much more proficient at using basic spreadsheet applications like Excel or Google Docs”
    30
  • Paul Bradshaw
    31
  • Paul Bradshaw
    32
    “It represents the convergence of a number of fields which are significant in their own right - from investigative research and statistics to design and programming. The idea of combining those skills to tell important stories is powerful - but also intimidating. Who can do all that?”
  • Paul Bradshaw
    33
    “It represents the convergence of a number of fields which are significant in their own right - from investigative research and statistics to design and programming. The idea of combining those skills to tell important stories is powerful - but also intimidating. Who can do all that?”
    “The reality is that almost no one is doing all of that, but there are enough different parts of the puzzle for people to easily get involved in, and go from there”
  • 34
  • Dealing with Data (Bradshaw, 2010)
    4 crucial aspects
    Finding data  
    Interrogating data  
    Visualizing data
    Mashing data
    35
  • Link
  • 37
  • 38
  • 39
  • New Tools of the Trade?
    ManyEyes – data visualisation tool
    Yahoo! Pipes – composition tool to mash-up data
    Google Fusion Tables – visualise data on maps, timelines, etc
    Processing – tool for creating images & interactions
    Wordle – generate word clouds from bulky text
    ScraperWiki – transforms info from webpages into data
    Google Refine (Freebase)– makes messy data clean!
    40
  • 41
  • Summary
    Is this journalism?
    Journalism educators doing students a disservice?
    Journalists replaced by programmers?
    Wikileaks: no journalist's required?
    42
  • Links and further reading
    http://www.delicious.com/rob_jewitt/med312+datajournalism
    43
  • 44
    Images
    Knight Foundation, 2008, Sir Tim Berners-Lee talking about the Web at the Newseum
    Bill on Capitol Hill, 2007, The Rim and the Slot
    Marion Doss, 2008, Capital Journalism News Room 16 October 1961
    Igorschwarzmann, 2010, NYT News Room
    Mkandlez, 2009, The Billion Pound O Gram
    BitBoy, 2006, The Elephant in the Room
    Ravages, 2008, Links