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<b>journalism</b>: Emerging 
data journalism practices 
Jonathon Hutchinson 
@dhutchman 
jonathon.hutchinson@sydney.edu.au
Today 
• The rise of data, even big data 
• Explore data journalism 
• Emerging opportunities 
• Data collection 
• Data visualisation 
• Incorporating data journalism into your 
project
http://xkcd.com/77/
http://live.wsj.com/video/is-this-the-world-most-connected-man-in-the-world/ 
465EDB01-B1BE-4764-BA1C-81C2CF898A1F.html#!465EDB01-B1BE-4764-BA1C- 
81C2CF898A1F 
Chris Dancy
Data Journalism 
• New archival tools enable journalists to reveal 
new relationships, trends or anomalies 
• Journalists do not need statistical skills, they 
need to determine the newsworthy-ness of 
data 
• Coupled with crowdsourcing, data journalism 
is a very powerful format
The current 2013 MP Expenses version: 
http://www.theguardian.com/news/datablog/interactive/201 
3/sep/12/full-list-mps-expenses-ipsa-data-interactive-2013
Check out “How The Guardian is pioneering data 
http://www.niemanlab.org/2010/08/how-the-guardian-is-pioneering-data-journalism-with- 
free-tools/ 
journalism with free tools” 
By Jonathon Stray 
Nieman Journalism Lab
But it’s not all roses… 
1. Automating research changes the 
definition of knowledge 
2. Claims to objectivity and accuracy are 
misleading 
3. Bigger data are not always better data 
4. Not all data are equivalent 
5. Just because its accessible doesn’t make 
it ethical 
6. Limited access to big data create new 
digital divides 
Boyd and Crawford, 2012
Mobile Health
Potential sources 
• Publically available or commercially sold 
databases 
• Electronic bulletin boards 
• Government, business and agency electronic 
records 
• Specialised databases by news organisations
Problematic DBs… 
• Not always available 
• Potentially incorrect 
• No governmental commitment to providing 
these records 
• Lack of knowledge and/or funds to support 
databases
NHK and Disaster Journalism 
• http://www.nhk.or.jp/d 
atajournalism/about/in 
dex_en.html
Social media DBs 
• Public voice on issues, events, people, etc. 
• Constantly updated 
• Variety of voice 
• Draws on rich media and not text alone 
• Direct from the platform to you
Social media DB problems 
• High noise to signal ratio 
• Difficult to determine sentiment 
• Marginalised opinion 
• Requires follow up qualitative research 
• You may not receive the ‘fat pipe’ from the 
platform provider
http://rappers.mdaniels.com.s3-website-us-east-1.amazonaws.com/
Conclusions 
• Lots of data available – institutional and 
personal 
• Can be contentious data 
• Provides new stories and approaches 
• Requires additional, supportive research 
• Free tools to capture, analyse and visualise
This week: 
• Check out Storify: 
https://storify.com/

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MECO3602 2014, Week 6 lecture "Emerging Data Journalism Practices"

  • 1. <b>journalism</b>: Emerging data journalism practices Jonathon Hutchinson @dhutchman jonathon.hutchinson@sydney.edu.au
  • 2. Today • The rise of data, even big data • Explore data journalism • Emerging opportunities • Data collection • Data visualisation • Incorporating data journalism into your project
  • 4.
  • 6. Data Journalism • New archival tools enable journalists to reveal new relationships, trends or anomalies • Journalists do not need statistical skills, they need to determine the newsworthy-ness of data • Coupled with crowdsourcing, data journalism is a very powerful format
  • 7.
  • 8. The current 2013 MP Expenses version: http://www.theguardian.com/news/datablog/interactive/201 3/sep/12/full-list-mps-expenses-ipsa-data-interactive-2013
  • 9. Check out “How The Guardian is pioneering data http://www.niemanlab.org/2010/08/how-the-guardian-is-pioneering-data-journalism-with- free-tools/ journalism with free tools” By Jonathon Stray Nieman Journalism Lab
  • 10. But it’s not all roses… 1. Automating research changes the definition of knowledge 2. Claims to objectivity and accuracy are misleading 3. Bigger data are not always better data 4. Not all data are equivalent 5. Just because its accessible doesn’t make it ethical 6. Limited access to big data create new digital divides Boyd and Crawford, 2012
  • 12. Potential sources • Publically available or commercially sold databases • Electronic bulletin boards • Government, business and agency electronic records • Specialised databases by news organisations
  • 13. Problematic DBs… • Not always available • Potentially incorrect • No governmental commitment to providing these records • Lack of knowledge and/or funds to support databases
  • 14. NHK and Disaster Journalism • http://www.nhk.or.jp/d atajournalism/about/in dex_en.html
  • 15.
  • 16. Social media DBs • Public voice on issues, events, people, etc. • Constantly updated • Variety of voice • Draws on rich media and not text alone • Direct from the platform to you
  • 17. Social media DB problems • High noise to signal ratio • Difficult to determine sentiment • Marginalised opinion • Requires follow up qualitative research • You may not receive the ‘fat pipe’ from the platform provider
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 25. Conclusions • Lots of data available – institutional and personal • Can be contentious data • Provides new stories and approaches • Requires additional, supportive research • Free tools to capture, analyse and visualise
  • 26. This week: • Check out Storify: https://storify.com/