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Data Journalism MAC373/MED312 t witter/ rob_jewitt [email protected] 1

data journalism

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Slides used in Level 3 undergrad Media Ethics course. Looks at data(base) journalism and how to be data journalist

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Overview

Intro

Database Journalism and Computer Assisted Reporting

Data Today : Visualisations and Interactivity

How To Be A Data Journalist

Ethics?

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“Data-driven journalism is the future”

“[Journalism’s] going to be about poring over data and equipping yourself with the tools to analyse it and picking out what's interesting. And keeping it in perspective, helping people out by really seeing where it all fits together, and what's going on in the country.” Sir Tim Berners-Lee, inventor of the Internet, 2010

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Origins

1950s

Database Journalism

Computer Assisted Reporting (CAR)

Very expensive

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The Indianapolis Star

Capital Journal circa 1961

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New

York Tim

es N

ew

s R

oom

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CBS: 1952, Walter Cronkite

Presidential election battle

Eisenhower vs Stevenson

Remington Rand UNIVAC

Early vote returns analysis

Predicted a landslide victory

Contrary to popular opinion

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Other notable examples

Clarence Jones, The Miami Herald, 1969 Criminal Justice systems

David Burnham, The New York Times, 1972 Police crime rates

Elliot Jaspin, The Providence Journal, 1986 School bus drivers and criminal records

Bill Dedman, The Atlanta Journal, 1988 Pullitzer Prize for The Color of Money

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Not Database – Just Data?

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Since 2004

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Adrian Holovaty (2005)

Chicago Transport Authority map + Firefox plug-in + Google Maps = real time updates

Chicago Police Department + Google Maps = real time police reports

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Adrian Holovaty (2006)

Now working for the Washington Post

A fundamental way newspaper sites need to change

Most material collected by journalists is: "structured information: the type of information that can

be sliced-and-diced, in an automated fashion, by computers”

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Adrian Holovaty (2006)

Traditional journalism

Articles as the finished product

Data journalism

Continually maintained and improved

Radical overhaul needed- Employing data- Making data available- Storing data- Coding data

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Maps Everywhere!

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Maps Everywhere!

2007 – Holovaty won $1.1 million from the Knight Foundation for Everyblock

2010 – SR2 Blog won Guardian.co.uk’s ‘most inspirational site’ accolade

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Bella Hurrell, Specials Editor with BBC News Online (2011)

Proximity of “journalists, designers and developers all working together, sitting alongside each other”

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Bella Hurrell, Specials Editor with BBC News Online (2011)

“We have found that proximity really important to the success of projects. Although we have done this for a while, increasingly other organisations are reorganising along these lines after coming to realise the benefits of breaking down silos and co-locating people with different skillsets can produce more innovative solutions at a faster pace.”

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Bella Hurrell, Specials Editor with BBC News Online (2011)

“As data visualisation has come into the zeitgeist, and we have started using it more regularly in our story-telling, journalists and designers on the specials team have become much more proficient at using basic spreadsheet applications like Excel or Google Docs”

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Paul Bradshaw

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Paul Bradshaw

“It represents the convergence of a number of fields which are significant in their own right - from investigative research and statistics to design and programming. The idea of combining those skills to tell important stories is powerful - but also intimidating. Who can do all that?”

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Paul Bradshaw

“It represents the convergence of a number of fields which are significant in their own right - from investigative research and statistics to design and programming. The idea of combining those skills to tell important stories is powerful - but also intimidating. Who can do all that?”

“The reality is that almost no one is doing all of that, but there are enough different parts of the puzzle for people to easily get involved in, and go from there”

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Dealing with Data (Bradshaw, 2010)

4 crucial aspects

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1. Finding data  

2. Interrogating data  

3. Visualizing data

4. Mashing data

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New Tools of the Trade?

ManyEyes – data visualisation tool

Yahoo! Pipes – composition tool to mash-up data

Google Fusion Tables – visualise data on maps, timelines, etc

Processing – tool for creating images & interactions

Wordle – generate word clouds from bulky text

ScraperWiki – transforms info from webpages into data

Google Refine (Freebase) – makes messy data clean!

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Summary

Is this journalism?

Journalism educators doing students a disservice?

Journalists replaced by programmers?

Wikileaks: no journalist's required?

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Images

Knight Foundation, 2008, Sir Tim Berners-Lee talking about the Web at the Newseum

Bill on Capitol Hill, 2007, The Rim and the Slot

Marion Doss, 2008, Capital Journalism News Room 16 October 1961

Igorschwarzmann, 2010, NYT News Room

Mkandlez, 2009, The Billion Pound O Gram

BitBoy, 2006, The Elephant in the Room

Ravages, 2008, Links