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Datenjournalismus
Entdecken – Erklären - Erkennen
Tourismus:Medien:Fokus
FHWien 22.4.2015
Thomas Jöchler
thomas@joechler.i...
Thomas Jöchler
@tjoechler
thomas@joechler.info
Was ist Datenjournalismus?
http://en.wikipedia.org/wiki/The_Magician_(TV_series)
Begriffe
Data driven journalism (#ddj)
Datenjournalismus
Computer Assisted Reporting (CAR)
Data driven
Journalism
Daten als Quelle für eine
Story
… eine große Story
http://www.telegraph.co.uk/news/newstopics/mps-
expenses/
kleine Story… eine
http://www.politifact.com/truth-o-meter/article/2014/jan/10/bridgegate-were-fort-lee-students-children-...
Scott Klein
@kleinmatic
Pro Publica
Scott Klein - Prediction for 2014: Scooped by Code
http://www.niemanlab.org/2013/12/sc...
Historischer Abriss
Technische Entwicklung
Daten 1990er - 2005
Sport
Wahlen
Wetter
Looking Back: Multimedia +
Daten 1990er-2000er
2004
http://www.theinquirer.net/inquirer/news/1031014/macromedia-flash-the-only-winner-in-us-election
http://news.bbc.co.uk/2/shared/spl/hi/americas/04/vote_usa/map/html/default.stm
2007
Browser
http://en.wikipedia.org/wiki/Usage_share_of_web_browsers
Status quo Technik
Auch graphisch aufwändige Umsetzungen sind direkt im
Browser möglich
Frameworks zur Erstellung anspruch...
https://www.flickr.com/photos/haraldmm/5099323721/
Herangehensweise
 Getting the data
Wo gibt es welche Daten?
 Managing the data
Was erzählen die Daten?
 Showing the data
Wie zeigt man d...
Guardian – Data Journalism
Workflow
Simon Rogers
@smfrogers
Guardian / Twitter
http://simonrogers.net/2013/01/27/a-data-jo...
• Open (Government)
Data: (kommunal, national,
EU, Weltbank, UNO, NGO…)
• Statistikportale
• Studien / Wissenschaft
• FOI ...
http://data.jour.at/spreadsheet-to-the-rescue/
Typische Stories in Daten (1)
• Top of the pops/flops: who is top or bottom?
• ‘Holding up a mirror’ - or ‘the face behind...
Typische Stories in Daten (2)
• A claim debunked or supported: does the data
support claims being made by a politician, ‘e...
Typische Stories in Daten (3)
• “Juking the stats”/“No accountability”: is the data
reliable or complete? Or is someone tr...
Typische Stories in Daten (4)
• Things happen together: does one thing go up
when another thing goes up? Or does one thing...
Showing the data
http://pixabay.com/288611/
dadaviz.com:
showcase of the best vizualizations
Auswahl #ddj Projekte
ZEITONLINE
• Vorratsdaten (2011): http://www.zeit.de/digital/datenschutz/2011-02/vorratsdaten-
malte...
Kleine Auswahl international
• Guardian (2011): London Riots - http://www.theguardian.com/uk/london-riots
• Guardian USA (...
Data driven sites
•Quartz:
http://qz.com/
•ampp3d:
Daily Mirror #ddj Spinof: http://ampp3d.mirror.co.uk
•usvsth3m:
http://...
https://twitter.com/BoingBoing/status/520219403078881280
https://twitter.com/uxepicfails/status/526491675930394624
https://twitter.com/danielegrasso/status/508326353352282113
https://www.flickr.com/photos/124961070@N02/14485059353/
Corporate publishing #ddj
http://insights.buzzfeed.com/industry-trends-2014/
http://data.jour.at
Student Projects
Master-Studium
Journalismus & Neue Medien
Wintersemester 2014/15
https://www.flickr.com/photos/59937401@N07/5856649637/
Und wie reich sind Sie? Das
unterschätzte Vermögen der
österreichis...
https://www.flickr.com/photos/emsi9500/2674507311/
Das schrumpfende Kärnten
http://data.jour.at/das-schrumpfende-kaernten
http://en.wikipedia.org/wiki/Neymar
Fairness bei der Fußball-WM
http://data.jour.at/fairness-bei-der-fussball-wm-2014
Thomas Jöchler
@tjoechler
thomas@joechler.info
Datenjournalismus - Entdecken - Erklären - Erkennen
Datenjournalismus - Entdecken - Erklären - Erkennen
Datenjournalismus - Entdecken - Erklären - Erkennen
Datenjournalismus - Entdecken - Erklären - Erkennen
Datenjournalismus - Entdecken - Erklären - Erkennen
Datenjournalismus - Entdecken - Erklären - Erkennen
Datenjournalismus - Entdecken - Erklären - Erkennen
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Datenjournalismus - Entdecken - Erklären - Erkennen

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Überblick und Einführung ins Thema Datenjournalismus. Vortrag bei der Veranstaltung Tourismus:Medien:Fokus am 22.4.2015 im Audimax der FH Wien.

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Datenjournalismus - Entdecken - Erklären - Erkennen

  1. 1. Datenjournalismus Entdecken – Erklären - Erkennen Tourismus:Medien:Fokus FHWien 22.4.2015 Thomas Jöchler thomas@joechler.info @tjoechler
  2. 2. Thomas Jöchler @tjoechler thomas@joechler.info
  3. 3. Was ist Datenjournalismus? http://en.wikipedia.org/wiki/The_Magician_(TV_series)
  4. 4. Begriffe Data driven journalism (#ddj) Datenjournalismus Computer Assisted Reporting (CAR)
  5. 5. Data driven Journalism
  6. 6. Daten als Quelle für eine Story
  7. 7. … eine große Story http://www.telegraph.co.uk/news/newstopics/mps- expenses/
  8. 8. kleine Story… eine http://www.politifact.com/truth-o-meter/article/2014/jan/10/bridgegate-were-fort-lee-students-children-buono/
  9. 9. Scott Klein @kleinmatic Pro Publica Scott Klein - Prediction for 2014: Scooped by Code http://www.niemanlab.org/2013/12/scooped-by-code/ „You can be a good journalist without being able to do lots of things. But every skill you don’t have leaves a whole class of stories out of your reach. And data stories are usually the ones that are hiding in plain sight.“
  10. 10. Historischer Abriss Technische Entwicklung
  11. 11. Daten 1990er - 2005 Sport Wahlen Wetter
  12. 12. Looking Back: Multimedia + Daten 1990er-2000er
  13. 13. 2004 http://www.theinquirer.net/inquirer/news/1031014/macromedia-flash-the-only-winner-in-us-election
  14. 14. http://news.bbc.co.uk/2/shared/spl/hi/americas/04/vote_usa/map/html/default.stm
  15. 15. 2007
  16. 16. Browser http://en.wikipedia.org/wiki/Usage_share_of_web_browsers
  17. 17. Status quo Technik Auch graphisch aufwändige Umsetzungen sind direkt im Browser möglich Frameworks zur Erstellung anspruchsvoller Visualisierungen (D3, Raphael,…) Basieren auf den quelloffenen Grundtechnologien des Webs (HTML, CSS, Javascript) Durch offene Formate globaler Austausch und Weiterentwicklung statt
  18. 18. https://www.flickr.com/photos/haraldmm/5099323721/ Herangehensweise
  19. 19.  Getting the data Wo gibt es welche Daten?  Managing the data Was erzählen die Daten?  Showing the data Wie zeigt man die Daten?
  20. 20. Guardian – Data Journalism Workflow Simon Rogers @smfrogers Guardian / Twitter http://simonrogers.net/2013/01/27/a-data-journalism-workflow/
  21. 21. • Open (Government) Data: (kommunal, national, EU, Weltbank, UNO, NGO…) • Statistikportale • Studien / Wissenschaft • FOI Anfragen (direkt oder via fragdenstaat.de, AskTheEU.org) • Leaking (Datenspende, z.B. ZEIT ONLINE Briefkasten…) • Scraping (PDF, Webseite) • Crowdsourcing http://digidol.llgc.org.uk/METS/XCH00001/arddeitem?locale=en&ID=XCHdmd5%20XCHdmd5a&eitem=4 Getting the data
  22. 22. http://data.jour.at/spreadsheet-to-the-rescue/
  23. 23. Typische Stories in Daten (1) • Top of the pops/flops: who is top or bottom? • ‘Holding up a mirror’ - or ‘the face behind the figures’: what does the data tell us about ourselves as a country, industry or region? • A freak occurrence/unusual change: what changed in the data from one time or place to another - and why?
  24. 24. Typische Stories in Daten (2) • A claim debunked or supported: does the data support claims being made by a politician, ‘expert’ or pundit? • Trend: what’s going up or going down? • Postcode lottery: are people in different places getting different treatment or access, or being chargeddifferently?
  25. 25. Typische Stories in Daten (3) • “Juking the stats”/“No accountability”: is the data reliable or complete? Or is someone trying to prevent people seeing it? Or is it not even collected in the first place? Why not? • Victims, Winners and Losers: what’s the impact of that data in real life?Whatare the human stories - including reaction to the data itself?
  26. 26. Typische Stories in Daten (4) • Things happen together: does one thing go up when another thing goes up? Or does one thing go down when another goes up, or vice versa? Note that this does not mean causation. • “It’s not working”: if someone made a change in the past about how things were done, has it had the impact that was promised? aus: Paul Bradshaw. „Data Journalism Heist.“
  27. 27. Showing the data http://pixabay.com/288611/
  28. 28. dadaviz.com: showcase of the best vizualizations
  29. 29. Auswahl #ddj Projekte ZEITONLINE • Vorratsdaten (2011): http://www.zeit.de/digital/datenschutz/2011-02/vorratsdaten- malte-spitz • Arbeitslosenteppich (2013): http://www.zeit.de/wirtschaft/arbeitslosigkeit • Dispo-Zinsen (2013): http://www.zeit.de/2013/29/banken-dispo-zinsen- wucher • Wählerwanderung (2013): http://www.zeit.de/politik/deutschland/2013- 09/waehlerwanderung-bundestagswahl-2013 (Desktop + Mobil) • Waffenland (2014): http://www.zeit.de/2014/04/waffen-deutschland Übersicht: http://www.zeit.de/datenjournalimus
  30. 30. Kleine Auswahl international • Guardian (2011): London Riots - http://www.theguardian.com/uk/london-riots • Guardian USA (2012): Gay Rights http://www.theguardian.com/world/interactive/2012/may/08/gay-rights-united- states • La Nacion (2013): Argentina’s Senate Expenses 2004-2013 (Scraping PDFs) http://blogs.lanacion.com.ar/ddj/data-driven-investigative- journalism/argentina-senate-expenses/ • Windkarte in Echtzeit: http://earth.nullschool.net/#current/wind/isobaric/850hPa/winkel3=0.00,0.00,245
  31. 31. Data driven sites •Quartz: http://qz.com/ •ampp3d: Daily Mirror #ddj Spinof: http://ampp3d.mirror.co.uk •usvsth3m: http://usvsth3m.com/post/74161992765/ •Vox: http://www.vox.com/2015/2/4/7975535/what-is-data-journalism
  32. 32. https://twitter.com/BoingBoing/status/520219403078881280
  33. 33. https://twitter.com/uxepicfails/status/526491675930394624
  34. 34. https://twitter.com/danielegrasso/status/508326353352282113
  35. 35. https://www.flickr.com/photos/124961070@N02/14485059353/ Corporate publishing #ddj
  36. 36. http://insights.buzzfeed.com/industry-trends-2014/
  37. 37. http://data.jour.at Student Projects Master-Studium Journalismus & Neue Medien Wintersemester 2014/15
  38. 38. https://www.flickr.com/photos/59937401@N07/5856649637/ Und wie reich sind Sie? Das unterschätzte Vermögen der österreichischen Privathaushalte http://data.jour.at/vermoegensverteilunginoesterreich/
  39. 39. https://www.flickr.com/photos/emsi9500/2674507311/ Das schrumpfende Kärnten http://data.jour.at/das-schrumpfende-kaernten
  40. 40. http://en.wikipedia.org/wiki/Neymar Fairness bei der Fußball-WM http://data.jour.at/fairness-bei-der-fussball-wm-2014
  41. 41. Thomas Jöchler @tjoechler thomas@joechler.info

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