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

1. Datenjournalismus
Entdecken – Erklären - Erkennen
Tourismus:Medien:Fokus
FHWien 22.4.2015
Thomas Jöchler
thomas@joechler.info
@tjoechler

2. Thomas Jöchler
@tjoechler
thomas@joechler.info

3. Was ist Datenjournalismus?
http://en.wikipedia.org/wiki/The_Magician_(TV_series)

4. Begriffe
Data driven journalism (#ddj)
Datenjournalismus
Computer Assisted Reporting (CAR)

5. Data driven
Journalism

6. Daten als Quelle für eine
Story

7. … eine große Story
http://www.telegraph.co.uk/news/newstopics/mps-
expenses/

8. kleine Story… eine
http://www.politifact.com/truth-o-meter/article/2014/jan/10/bridgegate-were-fort-lee-students-children-buono/

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. Historischer Abriss
Technische Entwicklung

11. Daten 1990er - 2005
Sport
Wahlen
Wetter

12. Looking Back: Multimedia +
Daten 1990er-2000er

13. 2004
http://www.theinquirer.net/inquirer/news/1031014/macromedia-flash-the-only-winner-in-us-election

14. http://news.bbc.co.uk/2/shared/spl/hi/americas/04/vote_usa/map/html/default.stm

15. 2007

16. Browser
http://en.wikipedia.org/wiki/Usage_share_of_web_browsers

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. https://www.flickr.com/photos/haraldmm/5099323721/
Herangehensweise

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. Guardian – Data Journalism
Workflow
Simon Rogers
@smfrogers
Guardian / Twitter
http://simonrogers.net/2013/01/27/a-data-journalism-workflow/

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. http://data.jour.at/spreadsheet-to-the-rescue/

24. 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?

25. 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?

26. 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?

27. 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.“

28. Showing the data
http://pixabay.com/288611/

29. dadaviz.com:
showcase of the best vizualizations

30. 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

31. 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

32. 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

33. https://twitter.com/BoingBoing/status/520219403078881280

34. https://twitter.com/uxepicfails/status/526491675930394624

35. https://twitter.com/danielegrasso/status/508326353352282113

38. https://www.flickr.com/photos/124961070@N02/14485059353/
Corporate publishing #ddj

40. http://insights.buzzfeed.com/industry-trends-2014/

41. http://data.jour.at
Student Projects
Master-Studium
Journalismus & Neue Medien
Wintersemester 2014/15

42. https://www.flickr.com/photos/59937401@N07/5856649637/
Und wie reich sind Sie? Das
unterschätzte Vermögen der
österreichischen Privathaushalte
http://data.jour.at/vermoegensverteilunginoesterreich/

44. https://www.flickr.com/photos/emsi9500/2674507311/
Das schrumpfende Kärnten
http://data.jour.at/das-schrumpfende-kaernten

46. http://en.wikipedia.org/wiki/Neymar
Fairness bei der Fußball-WM
http://data.jour.at/fairness-bei-der-fussball-wm-2014

48. Thomas Jöchler
@tjoechler
thomas@joechler.info