Analytic Journalism: Investing in an Intellectual Portfolio to Secure Journalism's Financial Future"

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    Analytic Journalism: Investing in an Intellectual Portfolio to Secure Journalism's Financial Future" - Presentation Transcript

    1. Analytic Journalism: Investing in an Intellectual Portfolio to Secure Journalism's Financial Future Durban, South Africa 11 September 2006
    2. Journalism is…
      • “ The central purpose of journalism is to provide citizens with accurate and reliable information they need to function in a free society.'‘ — Bill Kovach Committee of Concerned Journalists
    3. What journalists do
      • The job of journalists is "to monitor the centres of power."                                                                                         Israeli journalist  Amira Hass
    4. Today’s objectives
      • Discuss journalism (and journalists) as a species existing in the Datasphere
      • Review the changes in the information environment
      • Suggest steps journalism can (Should? Must?) take to adapt to those changes if we are to survive
      • Suggest the possible disappearance of the species journalist serioso
    5. Analytic thinking/journalism
      • What is it?
      • Where did it come from?
      • How does it work?
      • What are the necessary variables?
        • Frame the appropriate question
        • Find and retrieve appropriate data
        • Use appropriate analytic tools
        • Show what you know with story-appropriate media
    6. The why and the wherefore of Analytic Journalism
      • Dramatic change in info environment
      • Changes in how modern societies relate to data  information
      • What is Analytic Journalism?
      • Objectives of the Institute for Analytic Journalism
    7. The Changing Datasphere The Datasphere : that conceptual environment where all data exists in all forms, all media Laws Econ Demographics Entertainment News Cultural knowledge All of history
    8. Species in the Datasphere The Datasphere: that conceptual environment where all information-processing species reside Lawyer Economist Insurance adjuster Driver of garbage truck Journalist Teacher Historian Cop
    9. Communications Revolution 1st Era = Symbols Print Paper Ink Writing 2nd Era = 3rd Era = 101010101010101010101010001011100101
    10. How big is the change?
      • 93% of ALL information – audio, video, print – produced worldwide in 2003 was originally in digital format
      • See UC-Berkeley study on Datasphere http://www.sims.berkeley.edu/how-much-info/index.html
    11. Major trends in dynamic Datasphere
      • Definition of literacy expands
      • “ Transparency”
        • Global
        • Governments, NGOs, corporations
      • Data acquisition power shift to individual
      • “ Available Data Index” & “Journalism Info/Utility Index”
    12. ADQ: “Available Data Index” High Low ADI Time Digital Revolution
    13. JIQ: “Journalism Info/Utility Index” JII Avail. Data Index Time High Low Digital Revolution
    14. JIQ: “Journalism Info/Utility Index” High Low High High Low Avail. Data Index Digital Revolution Citizens’ Zone of Contempt, Disregard, Irrelevance, for the press JII
    15. Journalism and pre-Digital Revolution
      • Canon of Ethics
      • Constitutional freedoms/ legal restrictions
      • History of Profession
      • Journalism education: “To serve the profession,” not lead
      • RW-P process R eporting  W riting  Publishing/ P roducing
      • Good at description; far less good at analysis
      • Journalist as “white-hunter poet” (aka “General Assgn. Reporter”)
      • Driven by adrenalin, not intellect
      Pre-DigitalRev, Traditional Journalism
    16. Attributes of Digital Revolution
      • Data -- public and private -- in 1s and 0s divorced from physical media
      • Cheap, powerful desktop & communications hardware
      • Cheap, powerful analytic tools
      • Constant, rapid change in Datasphere
    17. Effects of Digital Revolution
      • Fluid, ubiquitous data and results
      • Reproducible data and info without cost. How to add value?
      • New definitions of literacy
      • RRAW-P Process Research  Reporting  Analysis  Writing  Publishing/Producing
      • Need for constant teaching/learning
      • How did journalism respond?
    18. Journalism and post-Digital Revolution
      • Post-Digital Revolution Changes
      • Various circulation and marketing strategies, e.g. zoning, newspaper-TV ties, etc.
      • Eventually, PCs/I-net in offices & newsroom
      • “ Soft news”
      • Shovelware web sites
      • CAR (Computer-assisted Reporting)
      010101001 0011010110101010100101010 1001010101010010101010101 100100101100101010001010 1001010101010010101010101 1001010101010010101010101 1001010101010010101010101 1001010101010010101010101 1001010101010010101010101 1001010101010010101010101 010100101010 Pre-DigitalRev, Traditional Journalism
    19. Leading-edge journalism in Digital Age
      • CAR (Computer-assisted Reporting)
      • Acquiring or creating digital data sets
      • Learning/utilizing new – for journalism –knowledge/analysis tools, i.e. sprdsheets, DBF, simple stats, GIS to make maps
      010101001 0011010110101010100101010 1001010101010010101010101 100100101100101010001010 1001010101010010101010101 1001010101010010101010101 1001010101010010101010101 1001010101010010101010101 1001010101010010101010101 1001010101010010101010101 010100101010 Pre-DigitalRev, Traditional Journalism
      • Retrieve/adapt methodologies from other disciplines
      Analytic Journalism in Digital Age Analytic Journalism Anthropology Geography Biology Criminology Accounting Data Mining 010101001 0011010110101010100101010 1001010101010010101010101 100100101100101010001010 1001010101010010101010101 1001010101010010101010101 1001010101010010101010101 1001010101010010101010101 1001010101010010101010101 1001010101010010101010101 010100101010 Pre-DigitalRev, Traditional Journalism
    20. AJ “borrowed” methodologies
      • GIS
        • Epidemiology ; Urban planning ; Enviro-sciences ; Crime analysis ; Cyberspace ; Mapping of Concepts
      • Computational Linguistics
        • (King and Lowe’s “Rare Events in International Conflict”) http://gking.harvard.edu/files/infoex.pdf
        • ThemeRiver http://www. pnl . gov / infoviz / infoviz / themeriver . pdf
      • Forensic Accounting http://www. forensicaccounting .com/home.html
      • Visual Statistics & Complex Adaptive Systems - Web Map http://www. webmap .com/ - Epstein, Steinbruner and Parker. “Modeling Civil Violence: An Agent-Based Computational Approach” http://www.brook.edu/es/dynamics/papers/cviolence/cviolence.pdf
      • Focus always international
      • Retrieve/adapt methodologies from other disciplines
      • IAJ: hinge between other disciplines/ methodologies and journalism
      • Adopt new analytic tools appropriate for journalism, e.g. AskSam , Cartagio , ArcGIS
      • Focus on making data – broadly defined – available for user customization and analysis
      Analytic Journalism in Digital Age
    21. Hunter College-NYTimes satellite maps of WTC disaster
    22. John Snow’s aledged cholera map- London - 1854 John Snow’s alleged cholera map London - 1854
    23. Urban Planning Sat. Pics-Lotlines
      • Urban Planning
      • Tax assessments
      • Public utilities/services
      • Traffic
      • Planned growth? Sprawl?
      • Educational planning
    24. Environmental Planning – watershed map English River Watershed Study by students in Mid-Prairie Middle School Kalona, Iowa
    25. Portland, Oregon Crime mapping Note how database produces graph and map. Portland, Oregon site at http://www. portlandpolicebureau .com/ crimemapper .html
    26. Conceptual mapping of cyberspace VR visualization of Web traffic
    27. PowerPlayers1 Mapping power relationships http://theyrule.orgo.org/
    28. “ ThemeRiver” computational linguistics and resulting visualization of news story themes. “ Theme River” computational linguistics and resulting visualization of news story topics. Curves indicate “tension index” over time Source: http://www. pnl . gov / infoviz /graphics.html
    29. Online enterprise Dynamic system model Source: http://www. simventure .com/models.html
    30. Data mining – advanced Business Intelligence software http://www.pcmag.com/article/0,2997,s%253D1738%2526a%253D7640,00.asp
    31. Database software – online and shrinkwrapped http://www.pcmag.com/article/0,2997,s%3D400%26a%3D14601,00.asp
    32. Some Analytic Journalism teaching materials
      • Statistics - http://people.bu.edu/ssr3/stat2.htm
      • E-mail tracing - http://people.bu.edu/ssr3/tracing.htm
      • Middleberg/Ross survey - http://people.bu.edu/ssr3/cyber7.htm
      • Covering the Census, with GIS - http://www.columbia.edu/~ssr3/census.htm
      • Basic numbers skills - http://www.columbia.edu/~ssr3/NUMBER12.htm
      • Evaluating what you find - http://www.columbia.edu/~ssr3/eval.htm
      • Calculator for confidence levels in polls - http://www.columbia.edu/~ssr3/confross.htm
    33. Inst. for Analytic Journalism
        • General Systems Theory
        • Statistics
        • Visual Statistics and Infographics
        • Simulation modeling
      Our “Cornerstones”
    34. Analytic Journalism: Investing in an Intellectual Portfolio to Secure Journalism's Financial Future Durban, South Africa 11 September 2006

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