Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Data journalism taster day: introduction to data journalism

1,219 views

Published on

Slides from a class delivered on the MA Data Journalism taster day at Birmingham City University. It introduces:
- What data journalism is
- How journalists respond to the release of a new dataset, and different angles you might adopt in reporting
- Story structure and style in reporting news stories about data
- Things to consider about sources of data and jargon used

Find out more about the MA and PGCert in Data Journalism at https://www.bcu.ac.uk/media/courses/data-journalism-ma-2019-20
Contact: paul.bradshaw@bcu.ac.uk

Published in: Education
  • Download your Automated game predictor software for NFL, MLB and NCAA! ★★★ http://scamcb.com/zcodesys/pdf
       Reply 
    Are you sure you want to  Yes  No
    Your message goes here
  • Be the first to like this

Data journalism taster day: introduction to data journalism

  1. 1. @PaulBradshaw, Birmingham City University, BBC Author: Scraping for Journalists, Finding Stories in Spreadsheets, Data Journalism Heist, Online Journalism Handbook Data journalism taster day
  2. 2. • How do you find data-driven stories? • Some basic skills to get stories out of data quickly • What to do next What I’ll cover:
  3. 3. https://leanpub.com/u/paulbradshaw https://onlinejournalismblog.com/
  4. 4. Paul Bradshaw, Data Journalism Handbook http://datajournalismhandbook.org/1.0/en/introduction_0.html
  5. 5. https://newslab.withgoogle.com/assets/docs/data-journalism-in-2017.pdf
  6. 6. Lowrey 2015; Reporters Lab 2016
  7. 7. https://twitter.com/mediavoicespod/status/800673364935262208
  8. 8. “The BBC has a plan to develop data journalism as a cornerstone of its reporting and analysis in all areas of News coverage.” BBC
  9. 9. https://policyviz.com/podcast/episode-110-ben-welsh/
  10. 10. https://onlinejournalismblog.com/2017/06/26/data-journalism-i n-broadcast-news-video/
  11. 11. https://audioboom.com/radiorhodes http://www.radiolab.org/story/shots-fired-part-1/ https://onlinejournalismblog.com/2017/07/06/data-journalism- on-radio-audio-and-podcasts/
  12. 12. Online report with video; Facebook update; tweet;
  13. 13. Where do data stories come from?
  14. 14. https://pudding.cool/2017/08/screen-direction/ https://github.com/juliasilge/women-in-film
  15. 15. http://www.theguardian.com/news/datablog/ng-interactive/2014 /sep/11/london-fashion-week-which-colours-are-always-in-style
  16. 16. http://www.mirror.co.uk/news/uk-news/singer-best-vocal-range- uk-4323076
  17. 17. David Robinson
  18. 18. http://qz.com/650796/mathematicians-mapped-out-every-game-of-thrones-relationship-to-find-the-main-chara cter/
  19. 19. 1. Top of the pops/flops 2. Freak occurrence/unusual change 3. “It's not working" 4. Trend 5. Striking stat Reactive stories
  20. 20. Proactive stories 1. State of nation/Face behind figures 2. “Huge differences” 3. Claim debunked or supported 4. Things happen together 5. "Juking stats"/“No accountability”
  21. 21. New rail usage figures come out - what happens next?
  22. 22. http://orr.gov.uk/statistics/published-stats/station-usage-estimates
  23. 23. http://orr.gov.uk/statistics/published-stats/station-usage-estimates
  24. 24. Evening Standard; ● Headline verbs: ‘revealed’, ‘named’. Keywords. ● “New figures” - not bogged down with source detail ● Consider audience: London is the focus ● No quotes. Who could they have interviewed?
  25. 25. Telegraph ● Style: sub-heading before intro ● “Figures from the rail regulator” - no need to name yet ● Moves into reaction by par 4 ● Secondary quote: “Told the BBC”
  26. 26. * Inverted pyramid 1. New fact, according to new data/research/report 2. Context/more details: who/what; following X or leading up to Y 3. Quote of reaction - or further details. OR if NIB: skip to end 4. More context/background/reaction - alternate End: A quote, or what happens next
  27. 27. https://www.bbc.co.uk/news/uk-england-42196835 https://github.com/BBC-Data-Unit/least-used-station
  28. 28. https://www.bbc.co.uk/news/uk-england-shropshire-42973820 https://github.com/BBC-Data-Unit/factcheck-stations-demand
  29. 29. https://www.citymetric.com/transport/brief-tour-britain-s-least-used-stations-teesside-4156
  30. 30. • Is it OK to rely on press release without looking at data? • What is the source and why does it matter? • Who do you chase for quotes — why? Critical issues:
  31. 31. Your turn: gender pay gap figures - what do you do?
  32. 32. https://gender-pay-gap.service.gov.uk/
  33. 33. https://gender-pay-gap.service.gov.uk/
  34. 34. https://gender-pay-gap.service.gov.uk/viewing/employer-%2cd-EQDgBs_aYzIwbTF3O-UA!!/report-2017
  35. 35. https://pinboard.in/u:paulbradshaw/t:gender+dj+pay https://www.telegraph.co.uk/gender-pay-gap/ https://www.theguardian.com/world/gender-pay-gap
  36. 36. https://www.theguardian.com/politics/2017/aug/10/gender-pay-gap-widening-at-one-in-four-government-bodies-figures-show https://www.theguardian.com/news/2018/mar/25/gender-pay-gaps-in-academy-school-chains-among-the-worst-in-uk
  37. 37. https://www.bbc.co.uk/news/uk-england-41805053 https://www.theguardian.com/news/ng-interactive/2018/apr/04/gender-pay-gap-when-does-your-company-stop-paying-women- in-2018
  38. 38. https://www.theguardian.com/news/2018/feb/28/what-you-need-to-know-about-gender-pay-gap-reporting https://www.theguardian.com/news/video/2018/apr/06/the-truth-about-gender-pay-gap-video-explainer https://www.bbc.co.uk/news/business-43668187
  39. 39. https://www.bbc.co.uk/news/uk-england-42611365 https://github.com/BBC-Data-Unit/gender-pay-gap
  40. 40. • Focus on individual data points: outliers, average, topical • Categories, sectors • Format: explainer, interactive, video, listicle, factcheck • Reaction, action, response • Data itself: concerns, campaigns • Bigger story (merge with other) • Lead you to interview > story All about angles:
  41. 41. https://www.birminghammail.co.uk/news/midlands-news/astonishing-number-people-universal-credit-15723714 Why is this so boring?
  42. 42. • Who is affected by the picture revealed by the data? • Who is an expert (and impartial)? • Who knows how the data is collected? • Who is responsible for the thing being measured? Answer the ‘why’ question: interviews
  43. 43. https://www.vox.com/future-perfect/2019/6/4/18650969/married-women-miserable-fake-paul-dolan-happiness
  44. 44. • Against a deadline, focus on quick wins - get a quote early • Look at structure: verbs, naming, etc. • Answer the ‘why’ question • Ideas are king, not data: read widely & come up with story pitches Takeaways:

×