How news organizations are using data to tell


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Keynote Tbilisi November 2013

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How news organizations are using data to tell

  1. 1. How news organizations are using data to tell stories Peter Verweij D3-Media Tbilisi November 2013
  2. 2. Is data journalism really the new kid on the block? 1854 London Dr Snow Cholera map 1967 Detroit Riots Ph Meyer using IBM mainframe for survey
  3. 3. Data Journalism is at least 50 years old • But known under different names • • • • Precision Journalism(Meyer) Analytical Journalism (Johnson) Computer Assisted Research and Reporting(IRE/Nicar) Data Journalism • Common denominator: use the tools of science to improve quality of reporting
  4. 4. Riots in The UK 2011 by The Guardian C:UserspeterDesktophdcDatajournalists are the new punks_ Simon Rogers at TEDxPantheonSorbonne.mp4 tablog/interactive/2011/aug/16/riotspoverty-map Data speaking truth to power: refuting claim PM Cameron about poverty Free software Easy to use
  5. 5. Traffic accidents         From Database: 2000 accidents Top ten Dangerous junctions Map is the story Simple spreadsheet Geo coding and mapping Story telling Convergence
  6. 6. Final Scores Elementary schools Online version by RTL: al/publicatie-cito-scores-kijk-hoejouw-school-scoort Hardcopy by NRC: different angle Based on excel Mapping and simple grapics Scraping data from RTL Adding other data
  7. 7. Crime mapping Here is what the LA Times is doing Typical American, because of public records Not real story telling or reporting just info
  8. 8. Sovereign Ratings Guardian published the data: tablog/2010/apr/30/credit-ratingscountry-fitch-moodysstandard?INTCMP=SRCH Visualization of the data with Tableau Worksheet could published embedded
  9. 9. Members of the Parliament NRC representation of the members by age, gender, education, address/city Scraping data Simple graphics
  10. 10. Sanitation at elementary schools and drop out in Kibera Nairobi Kenya Simple data collection Turning into multi media story telling
  11. 11. Social network Analysis Structuring the public debates: Twitter network 500 SA journalists More advanced Steep learning curve New angle to decision making and power distribution
  12. 12. Conclusions 1 Journalism is not only text but also numbers; Attention to numeracy; how to work with numbers; A little statistics is basic knowledge, for example: Robert Niles; doing spreadsheets without any idea about statistics does not work. Knowledge about software: excel, scraping, mapping ,visualizing , embedded links But software change fast: learn yourself new software Data Journalism is team work
  13. 13. Conclusions 2 High end: R project or SPSS for detailed statistics; Hire a specialist from the university for advanced statistics For difficult scraping and hacking a database: hire a coder from your IT department that is hosting the on line or employ him/her in the newsroom
  14. 14. How to get started? - start with interesting colleagues in data journalism - start with training the basic skills - start small - come up with a feasible story idea and available data - create a budget - create a team division of labor - have back up in case you get stuck - involve the editor and management - report step by step and decide whether to continue or not - write a plan based on a story idea: what is your news/expected outcome; think about how to publish; convergence hard copy and online.
  15. 15. THANK YOU VERY MUCH •E-mail: •Twitter: peter_verweij •Blog: