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Data journalism
on the BBC
news website



Bella Hurrell, editor
BBC News Specials team

bbc.co.uk/newsgraphics
@BBCNewsGraphics
Data and journalism
Data journalism roughly divides into three broad types that often overlap:

1. Traditional investigative data journalism, often called CAR - finding stories in the
data – with or without visualisations

2. Using the data to tell a story or explain a complex problem – this will involve
graphics or ‘visualisations’

3. Providing a service or a tool that tells the reader something personally relevant -
school league tables or simple financial tools and calculators
Slow death of prohibition
http://www.bbc.co.uk/news/magazine-17291978
Tournament football and domestic violence
http://www.bbc.co.uk/news/uk-england-18379093
How do you get your data projects to
               live longer?

•   Pick subjects that have a shelf life – and update the data

•   Make a tools, databases and apps that your readers will want to return to

•   Make it easy for users to share your feature

•   Plan publication and partner with a range of outlets for maximum coverage

•   Remember to re-promote the features regularly

•   Make sure they work on tablets and mobiles, where appropriate
http://www.bbc.co.uk/news/uk-15975720
data journalism tips
• It is stories in the numbers that are interesting
• Give your data a human face with case studies or by making it personally
  relevant
• Investigative journalism can take a long time – Keep focused and work
  with experts
• Clean your data and triple check it – there are ALWAYS errors
• Build sharing in if appropriate to help boost reach
• Always have a page where you explain your methodology
• Be prepared to respond to critics and staff to cover corrections and
  feedback
http://www.bbc.co.uk/news/business-15748696
data visualisation tips
• Help your readers to understand something complex, don’t just make data
  art
• Keep your user in mind all the time
• Test your designs and iterate on the feedback
• Keep the interface simple and intuitive
• Avoid too many choices as can lead to user anxiety
• Sequential ‘NEXT’ options will often get more clicks than ‘EXPLORE’
• Consider audio commentary or using video production tools like After
  Effects to give an overview
http://www.bbc.co.uk/news/business-17442946
http://www.bbc.co.uk/news/world-15391515
Data tools or apps
• Provide information that users will find personally relevant and useful

• If appropriate allow users to share a key fact about themselves to boost
  reach and make it feel more personal

• A global dataset will be relevant to far more users and will get more
  shares

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Bella Hurrell - Data to story

  • 1. Data journalism on the BBC news website Bella Hurrell, editor BBC News Specials team bbc.co.uk/newsgraphics @BBCNewsGraphics
  • 2. Data and journalism Data journalism roughly divides into three broad types that often overlap: 1. Traditional investigative data journalism, often called CAR - finding stories in the data – with or without visualisations 2. Using the data to tell a story or explain a complex problem – this will involve graphics or ‘visualisations’ 3. Providing a service or a tool that tells the reader something personally relevant - school league tables or simple financial tools and calculators
  • 3. Slow death of prohibition http://www.bbc.co.uk/news/magazine-17291978
  • 4. Tournament football and domestic violence http://www.bbc.co.uk/news/uk-england-18379093
  • 5. How do you get your data projects to live longer? • Pick subjects that have a shelf life – and update the data • Make a tools, databases and apps that your readers will want to return to • Make it easy for users to share your feature • Plan publication and partner with a range of outlets for maximum coverage • Remember to re-promote the features regularly • Make sure they work on tablets and mobiles, where appropriate
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12. data journalism tips • It is stories in the numbers that are interesting • Give your data a human face with case studies or by making it personally relevant • Investigative journalism can take a long time – Keep focused and work with experts • Clean your data and triple check it – there are ALWAYS errors • Build sharing in if appropriate to help boost reach • Always have a page where you explain your methodology • Be prepared to respond to critics and staff to cover corrections and feedback
  • 14. data visualisation tips • Help your readers to understand something complex, don’t just make data art • Keep your user in mind all the time • Test your designs and iterate on the feedback • Keep the interface simple and intuitive • Avoid too many choices as can lead to user anxiety • Sequential ‘NEXT’ options will often get more clicks than ‘EXPLORE’ • Consider audio commentary or using video production tools like After Effects to give an overview
  • 17. Data tools or apps • Provide information that users will find personally relevant and useful • If appropriate allow users to share a key fact about themselves to boost reach and make it feel more personal • A global dataset will be relevant to far more users and will get more shares