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ACTION! DATA! 1 @PaulBradshaw MA Online Journalism Birmingham City University

Data! Action! Data journalism issues to watch in the next 10 years

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Page 1: Data! Action! Data journalism issues to watch in the next 10 years

ACTION!DATA!

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@PaulBradshaw MA Online Journalism

Birmingham City University

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“We are moving from the knowledge/power nexus portrayed

by Foucault to a data/action nexus that does not need to move

through theory: All it needs is data together with preferred

outcomes”

“Geoffrey Bowker

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Shangri-La

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What is journalism for?

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Independence from data

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http://www.independent.co.uk/student/student-life/Studies/half-of-uk-university-students-are-losing-marks-for-not-referencing-correctly-survey-finds-a6983716.html

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First duty? Public debate?

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Are news values changing?

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https://www.youtube.com/watch?v=UNQteT9Bu2w&t=2m

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Voice to the voiceless

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Who has a voice in data?

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Who has a voice in data?

How is data used as a proxy for the voiceless?

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Who has a voice in data?

How is data used as a proxy for the voiceless?

How is data used to amplify voices?

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First duty? Public debate?http://www.theguardian.com/news/datablog/2014/oct/29/todays-key-fact-you-are-probably-wrong-about-almost-everything

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Truth to power

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DATA JOURNALISM ≠ INVESTIGATIVE

JOURNALISM

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Using data to tell stories in the best possible way, combining the

best techniques of journalism: including visualizations, concise

explanation and the latest technology. It should be open,

accessible and enlightening.

“Simon Rogers

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Data dystopia

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Data dystopia 39.8333333, -98.585522

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http://www.buzzfeed.com/ryanhatesthis/who-watches-more-porn-republicans-or-democrats#.mtoR5PAWV

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Flowing Data’s NYC map offers a great example of how three

mapping traps — seasonal bias, location fuzziness, and tagging

bias — can lead to a map that does not reflect reality.

“Margaret McKenna, http://untappedcities.com/2014/02/20/beautiful-maps-and-the-lies-they-tell-an-op-ed-from-runkeeper/

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http://fivethirtyeight.com/datalab/mapping-kidnappings-in-nigeria/

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Data journalism is like sex at university – everyone talks about it;

few do it; fewer still do it well.” “Neil McIntoshhttps://www.journalism.co.uk/news/10-things-every-journalist-should-know-in-2013/s2/a551648/

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Acquisition

Cleaning

Loading

Verification

Analysis

Cherry-picking

Presentation

MaintenanceJake Harris

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DATA ≠

TRUTH

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ACTION!DATA!

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…Bad data

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https://theintercept.com/drone-papers/firing-blind/

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When a measure becomes a target, it ceases to be a good

measure”. “Goodhart’s Law

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*

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“My husband couldn’t understand why people were

taunting him and calling him a child molester”

“Texas Tribune

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“Statistics are like a bikini…”

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Statistics are like a bikini. What they reveal is suggestive, but what they conceal is vital.” “

Prof. Aaron Levensteinhttp://charonqc.wordpress.com/2011/03/27/guest-post-any-complaints-why-the-ipcc-is-failing-us-all/

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http://www.bloomberg.com/news/articles/2011-12-01/correlation-or-causation

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HOLY MULTIPLE COMPARISONS

PROBLEM!

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ALGORITHM DYNAMICS!

BIG DATA HUBRIS!

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*Abraham Wald http://www.motherjones.com/kevin-drum/2010/09/counterintuitive-world

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Routes

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Telling stories

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Having a simple data vis on the page increases dwell time

by a third”“Trinity Mirror Editorial Conference 2014

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“Photos give the biggest lift withquotes coming in a close second.

Tweets containing numbers, a video url and hashtags also lead to double-digit boost.”

https://media.twitter.com/best-practice/news-the-impact-of-tweeting-with-photos-videos-hashtags-and-links

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The death of 1 man = tragedy, the death of millions is a statistic“Not Stalin.

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Courts punish people less harshly when they harm more

people.” “Ben Goldacre

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Andy Kirk, Data Visualisation

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Robot journalism - or computational

journalism?

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DRAMA!

TECHNOLOGICAL!

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http://nytlabs.com/projects/editor.html

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Daniel Ellsberg + co: more than 1 year

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Daniel Ellsberg + co: more than 1 year

=18 years for Bradley Manning leaks

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Daniel Ellsberg + co: more than 1 year

=18 years for Bradley Manning leaks

=2880 years for Offshore leaks

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=28,800 years for Panama Papers

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If we don’t address software itself, we are in danger of always dealing only with its effects rather

than the causes”“

Lev Manovich

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Data integrity, journalist integrity

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Fake adverts

Spyware

Backdoors

App permissions

Passwords

Phishing

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Rituals of transparency &

culture shifts

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Mark Coddington

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http://www.buzzfeed.com/johntemplon/how-we-used-data-to-investigate-match-fixing-in-tennis#.eiR89lLA2

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Wilson Lowrey http://www.tandfonline.com/doi/figure/10.1080/1461670X.2015.1052537 http://www.poynter.org/2016/there-are-96-fact-checking-projects-in-37-countries-new-census-finds/396256/

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“This clash of logics has required journalists to reshape forms and practices in order to

regain lost legitimacy, and the fact checking site is a result of this

reshaping [because it takes sides].”

“Wilson Lowrey

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Lighthouses

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1. How independent? 2. How do we choose? 3. Who has a voice? 4. Myth vs truth? 5. What mistakes do we make? 6. How do we engage? 7. What are (and can) we automating? 8. How do we ensure integrity? 9. What cultures and why? 10. Data as power!

Everybody likes a list

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ACTION!DATA!

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@PaulBradshaw

Thank you. _

MA Online Journalism Birmingham City University

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