Data Journalism Basics
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This document provides an introduction to data journalism. It discusses what data journalism is, how data stories are found and told, and some techniques used in data journalism. Key points include: - Data journalism uses data collection and analysis to find and tell stories that could not be done without the data. It aims to further public debate. - Stories can come from data releases, leaks, FOI requests, or journalists' own questions. Basic techniques include sorting, filtering, and calculations on data. - Examples are given of data stories in news outlets and how they were reported using techniques like scraping, FOI requests, and data visualization. Readings are also recommended to learn more about data journalism.
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Data Journalism Basics
- 2. Data Journalism: The basics @PaulBradshaw Consultant data journalist, BBC Course leader, MA Data Journalism, Birmingham City University Author: Online Journalism Handbook, Data Journalism Heist, Scraping for Journalists, Finding Stories in Spreadsheets
- 4. Today... • Data journalism - what and why? • Telling data stories: broadcast, words, interactivity • Finding stories in data
- 5. Part 1: Why.
- 6. What is journalism for?
- 7. Question... • What proportion of the welfare budget do you think goes on benefits for unemployed people? Write down your number as %
- 8. Question... • What proportion of the welfare budget is claimed fraudulently?
- 9. Question... • What proportion of people on Jobseeker’s Allowance (unemployment benefit) claim it for more than a year?
- 10. Question... • Out of every 100 people in Great Britain, what % do you think are Muslim? (Anyone from other countries? Write an answer for your country too)
- 11. First duty? Public debate?
- 12. First duty? Public debate? http://www.theguardian.com/news/datablog/2014/oct/29/todays-key-fact-you-are-probably-wrong-about-almost-everything
- 13. First duty? Public debate?
- 17. “The BBC has a plan to develop data journalism as a cornerstone of its reporting and analysis in all areas of News coverage.” BBC
- 26. How we did it: • Freedom of Information (FOI) requests to 150 authorities • Scraping: 450 reports on library use/funding • Interviews, video • Internal coordination: visual journalism unit, GNS
- 31. House of Commons briefing paper
- 32. September 2017: Shared Data Unit • 3 BBC staff + 3-4 secondees from regional press and websites • Stories shared with 700+ partners of Local News Partnership • >200 stories published so far
- 33. Part 3: That’s not all...
- 34. Your turn: What do you think defines data journalism?
- 35. “[A] data journalism artefact is likely but not necessarily a Web-based journalistic piece that is based on data collection and analysis, in other words it cannot be done without data, its essence and core is data. In addition, the main data journalistic approach is quantification.” Alla Rybina, Operationalization of Data Journalism (DataJ Conf, 2017)
- 41. “Data journalism is simply, journalism. ...ultimately, it is just a way of describing journalism in the modern world.” The Bureau of Investigative Journalism, https://www.thebureauinvestigates.com/explainers/what-is-data-journalism
- 46. Paul Bradshaw, Data Journalism Handbook http://datajournalismhandbook.org/1.0/en/introduction_0.html
- 47. Part 4: How.
- 49. • Press/data releases (reactive) • Sources/leaks (reactive) • Data requests/FOI (proactives) • Questions/hunches/ideas (proactive) ○ ...and reacting to news events Data stories come from...
- 51. “Data journalists are the new punks”
- 52. ● Sorting (who’s worst/best?) ● Filtering (what’s relevant to my audience?) ● Calculations (proportions, percentage change) Data journalism’s 3 basic chords...
- 53. Julia Wolfe, WSJ, quoted in Cairo (2017) Nerd Journalism
- 54. • Data journalism is lots of things - don’t worry about doing them all • You can play a lot of songs with just 3 chords • Sources and ideas can come from anywhere - not just a spreadsheet Takeaways:
- 55. Now, let’s do something.
- 57. • Download the libraries data. Take a few minutes to explore it. • Use sorting, filters and basic calculations to look at different aspects • What possible stories jump out? How would you pitch it to an editor? In groups:
- 58. • Review examples of data journalism - what techniques are they using? • Look for data sources and ideas • Use the ‘3 chords’ to find stories/leads. Flesh them out with interviews. What you can do next:
- 59. • Data Journalism Heist • Finding Stories in Spreadsheets • Scraping for Journalists • Miller: Getting Started with Data Journalism • Data Journalism Handbook Reading: