Data journalism


Published on

Slides from lecture at Cardiff University

Published in: Education, Business, Technology
1 Like
  • Be the first to comment

No Downloads
Total views
On SlideShare
From Embeds
Number of Embeds
Embeds 0
No embeds

No notes for slide
  • Philip Meyer The Detroit Free Press and the Detroit News threw every resource they had into covering the uprising. And as the disturbance died down, journalists and commentators, most of them white, struggled to understand who the rioters were and why they had taken to the streets. One theory was that those who looted and burned buildings were on the bottom rung of society—riff raff with no money and no education. A second theory speculated that rioters were recent arrivals from the South who had failed to assimilate and were venting their frustrations on the city.But for many, those theories rang false.A survey had been done following the 1965 Watts riots. Meyer approached Nathan Caplan, a friend from graduate school at the University of Michigan in Ann Arbor. They both had a similar idea to see if a survey similar to the one done after Watts could be done in Detroit. One challenge was that the Watts study took two years, but Meyer wanted it done in three weeks. The ISR has an article that looks at the process in great depth, and what is clear is that the study of the 1967 Detroit riots and the journalism that followed had a lot of support not only from the newspapers but from the university, government and local foundations. They recruited and trained 30 teachers to conduct the surveys, drew up a random sample and interviewed 437 black residents.The survey debunked a number of theories put forward to explain the violence.One theory was that the rioters were poor and uneducated. No, the survey found otherwise. ¨There was no correlation between economic status and participation in the disturbance. College-educated residents were as likely as high school dropouts to have taken part.¨Another theory laid the blame at recent arrivals from the south who had little connections to the community. That theory was also wrong. ¨Recent immigrants from the South had not played a major role; in fact, Northerners were three times as likely to have rioted.¨ 
  • Red - 5 to 15 social houses per 100 households, orange 15 to 25, yellow 25 to 35, green 35 to 45 and blue 45 to 55Read More 
  • Data journalism

    1. 1. Data journalismWhy bits, bytes and stats are your friends
    2. 2. It’s nothing newThe Manchester Guardian 1821
    3. 3. Florence Nightingale – data journalist
    4. 4. Detroit 1967
    5. 5. Deprivation and Manchester rioters
    6. 6. How we’d look under AV
    7. 7. The War Logs – IED attacks
    8. 8. Go beyond obvious applications• Sport – BBC’s Ollie Williams has done visualisations around events• Fashion – I helped Grazia to track the spread of a social media campaign by Twitter scraping
    9. 9. Tools and ideasGETTING STARTED
    10. 10. CAR vs Data journalism• Computer-Assisted Reporting is an old school name for what is sometimes now called data journalism• Data was in spreadsheets, databases and surveys• Also social network analysis tools
    11. 11. Key things to note• Not a quick process• Too many numbers can confuse your audience• Know your sources of data• Check it back with the source
    12. 12. Some of the tools of the trade• Excel• Access• Many Eyes (wikified)• Wordle• Tableau• Google Fusion tables• Google docs spreadsheet• Yahoo pipes• Scraperwiki
    13. 13. Coding is becoming part of journalism• Some journalists are learning Python, Django, or Ruby to analyse data• But it doesn’t have to be difficult or hard to work with
    14. 14. Empty properties filetype:xlsBoltonMap it
    15. 15. Google Fusion tables• Location, location, location• The Lords
    16. 16. Some sites of interest• Where does my money go• Information is beautiful• Guardian data blog
    18. 18. Former JOMEC broadcasterData mining and data journalism
    19. 19. Datamineruk’sTop 10 Things for getting Started in Data Journalism
    20. 20. Data follows@paulbradshaw - Paul’s list of Godlike Geniuses@jamesrbuk@StephenGrey@DataMinerUK@psychemedia@Coneee@clairemilleruk@kevglobal@bbcsport_ollie