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DatenjournalismusEntdecken – Erklären - Erkennen
Tourismus:Medien:FokusFH Wien 22.4.2015
Thomas Jöchler [email protected]
@tjoechler
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-buono/
Scott Klein@kleinmaticPro 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.“
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 TechnikAuch graphisch aufwändige Umsetzungen sind direkt im Browser möglich
Frameworks zur Erstellung anspruchsvollerVisualisierungen (D3, Raphael,…)
Basieren auf den quelloffenen Grundtechnologien desWebs (HTML, CSS, Javascript)
Durch offene Formate globaler Austausch undWeiterentwicklung statt
https://www.flickr.com/photos/haraldmm/5099323721/
Herangehensweise
Getting the dataWo gibt es welche Daten?
Managing the dataWas erzählen die Daten?
Showing the dataWie zeigt man die Daten?
Guardian – Data JournalismWorkflow
Simon Rogers@smfrogersGuardian / Twitter
http://simonrogers.net/2013/01/27/a-data-journalism-workflow/
• 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
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?
Typische Stories in Daten (2)
• A claim debunked or supported: does the data
support claims being made by a politician, ‘expert’ orpundit?
• Trend: what’s going up or going down?
• Postcode lottery: are people in different places
getting different treatment or access, or being chargeddifferently?
Typische Stories in Daten (3)
• “Juking the stats”/“No accountability”: is the data
reliable or complete? Or is someone trying toprevent 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? What are the human stories -including reaction to the data itself?
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 thatthis 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.“
Showing the data
http://pixabay.com/288611/
dadaviz.com:showcase of the best vizualizations
Auswahl #ddj ProjekteZEIT ONLINE
• 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
Kleine Auswahl international
• Guardian (2011): London Riots - http://www.theguardian.com/uk/london-riots
• Guardian USA (2012): Gay Rightshttp://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
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
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 ProjectsMaster-Studium
Journalismus & Neue MedienWintersemester 2014/15
https://www.flickr.com/photos/59937401@N07/5856649637/
Und wie reich sind Sie? Das unterschätzte Vermögen der österreichischen Privathaushaltehttp://data.jour.at/vermoegensverteilunginoesterreich/
https://www.flickr.com/photos/emsi9500/2674507311/
Das schrumpfende Kärntenhttp://data.jour.at/das-schrumpfende-kaernten
http://en.wikipedia.org/wiki/Neymar
Fairness bei der Fußball-WMhttp://data.jour.at/fairness-bei-der-fussball-wm-2014
