Data-driven journalism: Status and Outlook (Amsterdam, August 2010) #ddj
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Transcript of Data-driven journalism: Status and Outlook (Amsterdam, August 2010) #ddj
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Mirko Lorenz • Information Architect
DATA-DRIVEN JOURNALISM
FIVE WS (AND ONE H)AN INTRODUCTION TO THE ROUNDTABLE • A‘DAM • AUGUST 24, 2010
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WELCOME!WHERE HAVE YOU BEEN ALL THE TIME?
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THE NEXT 10 MINUTES
STATUS OF DATA-DRIVEN JOURNALISM?MANY QUESTIONS, FEW ANWSERS YET
‣ Basics: Do we all mean the same?
‣ Debate: Where do we agree, where do we not agree?
‣ Future: What is the opportunity, what keeps us from doing it?
‣ Work: Which elements are missing from our discussions?
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TODAY: WHAT IS THERE TO LEARN?
DATA-DRIVEN JOURNALISM: JUST ANOTHER BUZZWORD OR A BIG OPPORTUNITY?
MAIN GOALS TODAY:
‣ Experiences so far
‣ Examples of work
‣ Discussion & Debate
Can we describe what is there to learn?
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WHAT? DATA IN THE HOUSE
‣ DATA-DRIVEN JOURNALISM IS A WORKFLOW, WHERE DATA IS THE BASIS FOR ANALYSIS, VISUALIZATION AND STORYTELLING
‣ Foggy: Platforms, Tools, Formats, Business Models, Financing
EXTERNALDATA
PASTJOURNALIST ALWAYS WORKED WITH SOME
DATA, BUT TOOK A LOT FOR GRANTED
FUTUREUSE DATA FOR GOOD/TRUE/COMPELLING REPORTING
OPENDATA NOT SO-OPEN
DATA
JOURNALISM
FILTEREDDATA
JOURNALISM
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WHAT?UNSOLVED QUESTIONS WHAT DDJ MIGHT BE
‣ How can the results of DDJ become really relevant?
„Don‘t be the noise in the middle“ (Brian Storm, mediastorm)
‣ What insight are we looking for?
Are we solving a puzzle or a mystery? (Gladwell on Enron)http://www.gladwell.com/2007/2007_01_08_a_secrets.html
‣ Do we understand our readers/users perception of the facts?
Article: „How Facts backfire“, Boston.comhttp://www.boston.com/bostonglobe/ideas/articles/2010/07/11/how_facts_backfire/
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DATA-DRIVEN JOURNALISM = A PROCESS
DATA
FILTER
VISUALIZE
STORY
VALUE TO PUBLIC
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WHY?JOURNALISM NEEDS A FUTURE
‣ THE OLD MODEL HAS FALLEN APART, CAN DDJ BE THE RESCUE?
‣ A SUGGESTION: ARE WE IN THE TRUST BUSINESS?
BEING THERE WHEN PEOPLE MAKE IMPORTANT DESCISIONS?
‣ TRUSTABLE SERVICE, NO PRIVACY INVASION:BUYING A HOUSE, A CAR, AN INSURANCE,...
‣ ANALYZE PRESENT CHALLENES, IDENTIFY OPPORTUNITIES
‣ DETECT SCAMS AND FRAUD
‣ HELP MANAGEMENT/POLITICS TO DO THE RIGHT THING
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FUTURE OPPORTUNITIES
REDUCE TIME TO SEARCH
ENABLE DECISIONS
BE TRUSTABLE
DETECT ANOMALIES EARLIER
MINIMIZE NEED TO REFORMAT
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HOW?How can we combine all the many pieces of this?
Platforms
‣ Holovaty/EveryBlock --> Insights on how to structure our material better
‣ Mark-Down Editors, Metadata,...
Data
‣ How could a tool stack for DDJ look like?
Visualization
‣ A flood of creative examples, no platform
Storytelling
‣ Give them something they will remember
Business Models
‣ Subscription, Advertising, Sales
‣ How can DDJ offerings get to the top of a Google search?
Training
‣ Journalists=programmers or groups of specialists?
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WHO?CAN ALL JOURNALISTS DO THIS?
‣ Do journalists need to become programmers?
‣ Or will we have teams of specialists?
‣ Doubting that journalist can contribute to change?
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WHO?ONE EXAMPLE OF WHAT IS POSSIBLE
‣ Alexander L. Holley, Journalist, Engineer (1832 – 1882)
‣ Deep interest in technology: Railways, machinery, iron making
‣ Trained as an engineer, skilled writer
‣ Foreign technical correspondent for the New York Times
‣ Went through many troubles and times of economic crisis
‣ Bought the rights to the Bessemer process for steel making in 1863, perfected it, developed floor plans for new steel works for Carnegie Steel and others.
‣ Changed the world
http://en.wikipedia.org/wiki/Alexander_Lyman_Holley
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EJC • DATA-DRIVEN JOURNALISM
Curriculum
Produce
Present
Provide
Results orientated,understand journalist interests
Data Mining, Filtering, Modeling,Other Story Elements
Format, Visualisation, Presentation
Deliver information to users and organizations in usable formats
Text
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WHERE?EVERYWHERE