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DATA JOURNALISM



        Peter Verweij
Wits University Johannesburg
         Sept 2012
The end of news and journalism
       The Economist and DNR
Are social media killing news?

    News breaks on         
                               But this is not the
    Twitter first              end of quality

    Twitter as the alarm       reporting: data
    bell of journalism         journalism

    Example TK1951 of
    Amsterdam airport
Some examples of Data Journalism
                   Olympics and the
                    ranking
                   Including: population,
                    GDP, team
                   Guardian
Examples 2
        Traffic accidents
        Download data
        Top ten
        Put them on the map
Examples 3
        Classic Hurricane
         Andrew
What is Data Journalism?

    Finding stories          IT IS THE STORY

    In the public interest    NOT THE DATA

    Without a legal
    foundation

    From a pile of data
How do you do it?
           Get the data from
            NBS, NGO:
            download or copy
            paste
           Search web for xls
           Scrape data
           Pdf to cvs and xls
           Analyze: excel or R
           Visualize: manyeyes,
            tableau, qgis
From NL to ZA
         SA parliament data
         NL parliament data
         And here is my map
Data journalism is:

    TEAMWORK:           
                            QUALITY

    Writer                  JOURNALISM

    Researcher/
                        
                            Nick Davies – Flat
    statistician            Earth News –
                            churnalism

    Hacker              
                            Checking is the

    Designer                justification of our
                            profession
50 years old
         Introducing
          computers to
          journalism
         Philip Meyer and the
          Detriots Riots
         And the London
          Riots
         Names of the beast:
          precision, analytical,
          car, ddj
Zoom in: tools of science
               Ch Wright Mills:
                Power Elite
               Social network
                analysis
               Connections
               Mathematics: walks
               Tools: NodeXL or
                Gehi
               Twitter: journalists
                and MP's
Conclusion

New Possibilities for reporting; new jobs;
 improve the weak position of the media

  Check and review the use of power

   Update your knowledge and skills
Thank you!
        peter@d3-media.nl

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Wits dj lecture

  • 1. DATA JOURNALISM Peter Verweij Wits University Johannesburg Sept 2012
  • 2. The end of news and journalism The Economist and DNR
  • 3. Are social media killing news?  News breaks on  But this is not the Twitter first end of quality  Twitter as the alarm reporting: data bell of journalism journalism  Example TK1951 of Amsterdam airport
  • 4. Some examples of Data Journalism  Olympics and the ranking  Including: population, GDP, team  Guardian
  • 5. Examples 2  Traffic accidents  Download data  Top ten  Put them on the map
  • 6. Examples 3  Classic Hurricane Andrew
  • 7. What is Data Journalism?  Finding stories IT IS THE STORY  In the public interest NOT THE DATA  Without a legal foundation  From a pile of data
  • 8. How do you do it?  Get the data from NBS, NGO: download or copy paste  Search web for xls  Scrape data  Pdf to cvs and xls  Analyze: excel or R  Visualize: manyeyes, tableau, qgis
  • 9. From NL to ZA  SA parliament data  NL parliament data  And here is my map
  • 10. Data journalism is:  TEAMWORK:  QUALITY  Writer JOURNALISM  Researcher/  Nick Davies – Flat statistician Earth News – churnalism  Hacker  Checking is the  Designer justification of our profession
  • 11. 50 years old  Introducing computers to journalism  Philip Meyer and the Detriots Riots  And the London Riots  Names of the beast: precision, analytical, car, ddj
  • 12. Zoom in: tools of science  Ch Wright Mills: Power Elite  Social network analysis  Connections  Mathematics: walks  Tools: NodeXL or Gehi  Twitter: journalists and MP's
  • 13. Conclusion New Possibilities for reporting; new jobs; improve the weak position of the media Check and review the use of power Update your knowledge and skills
  • 14. Thank you!  peter@d3-media.nl