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birth of The Newsroom of Things
(at BBC)
For HACKS HACKERS LONDON
Feb 2015 ##HHLDN
Matt Sheare...
TONIGHT:
• Some context
• Case study
• What’s next
A little about BBC News Labs
What do we do?
Technology
Journalism
● Incubate ideas in this space
● #newsHACK events
● Partnerships
● New Formats
Data
A LITTLE BIT ABOUT ME
(for context)
sorry
You’ve seen this
ARRGHHHH VALUE
Near Term Long Term
THIS IS
WHAT
WE NEED
THIS IS THE
TENDENCY
EVEN IN
A LAB
ALWAYS
FOCUS
H...
we go bananas
over “moments in time”
and then they are gone
So, my focus
ARRGHHHH VALUE
Near Term Long Term
ONLY
LOOK
HERE !
It drives
best
ROI
It opens
future
opportunities
It helps...
THE CASE STUDY
BACK TO THE START
of linked data in BBC
NEWS
IT WAS SPRING 2012.
**EVERYONE**
was on 1 project
The OLYMPICS
From ~May 2012
“Do not release another
atom of code …
… in case you knock
over the Olympics.”
This was an
unprecedented
opportunity:
Let’s focus on something
Long Term & Important
“How might BBC News
use Linked Data
to connect and
contextualise
our News Stories?”
Answer: The Juicer
• before we change the Newsroom?
• and without the need for MAGIC DUST?
So – how do we explore this
1
G...
So, explain again,
what is
“THE JUICER”?
OK. In other words:
The Juicer automatically
tags News content with
Linked Data Tags
...& it allows us to test ideas,
using real data,
without an army
of tagging experts.
(NB it is not as good as real humans...
The Timeline of
The Birth of THINGS*
in BBC News
* “Things” being: Linked Data, real world concepts (or “tags”)
that are u...
Window on the NEWSROOM
Production App
Journalists
doing Manual Tagging
Storyline
2013 2014 2015
Summer
Labs Added “Non BBC...
And so “The Things”
were born in BBC News.
And launched to our users
via BBC mobile Apps
OK
What did we find?
1. A Prototype is worth 1000 meetings
2. There will be pain
3. Loose coupling of teams/services is key
4...
Next time? How do we plan it?
The formula is
• Enthusiastic people
• Cross discipline
• Trust & space from your sponsors
• Be pourous – flux of collabor...
What we use the Juicer for now
We use it to explore opportunities in the
important intersection
Technology
Journalism
Data
Metajournalism:
Stories in the Data in the Stories
EU Vote (2014) Media coverage
Over time…
Co-occurence…
More co-occurence
More co-occurence
NB – the tag associations here
are “co-occurrences”, and so
there is no indication of what the
co-occurrence means.
i.e. I...
What’s happening right now?
We are scaling-up the sources
What’s next for the Newsroom of Things?
1. Extend linked data through other workflows
2. Explore wider opportunities with ...
Elsewhere in BBC NEWS LABS
Pilots to reach new audiences
“Adaptive News”
(pan-dimensional responsiveness)
DisplaySpace
InteractionTypes
ConnectionSpeed
Dataalreadyconsumed
Locatio...
Immersive current affairs
Neurotech
#newsHACK events – rapid prototyping
Language Tech
Argument Mining
Partnerships
Thanks
@BBC_News_Labs
@completedespair
www.BBCNewsLabs.co.uk
"The Birth of the Newsroom of Things" for Hacks Hackers London; Linked Data in BBC News
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"The Birth of the Newsroom of Things" for Hacks Hackers London; Linked Data in BBC News

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A presentation by Matt Shearer in Feb 2015 at Hacks Hackers London.

This presentation is a case study, starting in Summer 2012, of how THE JUICER helped BBC NEWS adopt and launch Linked Data, by providing a prototyping platform.

BBC NEWS LABS is a lean incubator, charged with driving innovation for BBC NEWS. We focus on the intersection of Journalism, Data and Technology, and look into scalable opportunities.

Published in: News & Politics

"The Birth of the Newsroom of Things" for Hacks Hackers London; Linked Data in BBC News

  1. 1. Powered by Connected Studio birth of The Newsroom of Things (at BBC) For HACKS HACKERS LONDON Feb 2015 ##HHLDN Matt Shearer @BBC_News_Labs
  2. 2. TONIGHT: • Some context • Case study • What’s next
  3. 3. A little about BBC News Labs
  4. 4. What do we do? Technology Journalism ● Incubate ideas in this space ● #newsHACK events ● Partnerships ● New Formats Data
  5. 5. A LITTLE BIT ABOUT ME (for context) sorry
  6. 6. You’ve seen this ARRGHHHH VALUE Near Term Long Term THIS IS WHAT WE NEED THIS IS THE TENDENCY EVEN IN A LAB ALWAYS FOCUS HERE
  7. 7. we go bananas over “moments in time” and then they are gone
  8. 8. So, my focus ARRGHHHH VALUE Near Term Long Term ONLY LOOK HERE ! It drives best ROI It opens future opportunities It helps create productive teams 
  9. 9. THE CASE STUDY
  10. 10. BACK TO THE START of linked data in BBC NEWS
  11. 11. IT WAS SPRING 2012. **EVERYONE** was on 1 project
  12. 12. The OLYMPICS
  13. 13. From ~May 2012 “Do not release another atom of code … … in case you knock over the Olympics.”
  14. 14. This was an unprecedented opportunity: Let’s focus on something Long Term & Important
  15. 15. “How might BBC News use Linked Data to connect and contextualise our News Stories?”
  16. 16. Answer: The Juicer • before we change the Newsroom? • and without the need for MAGIC DUST? So – how do we explore this 1 Get Content 2 Extract Concepts 3 Match to DBpedia 4 Annotate Content 5 Push to Triplestore 6 Expose via API
  17. 17. So, explain again, what is “THE JUICER”?
  18. 18. OK. In other words: The Juicer automatically tags News content with Linked Data Tags
  19. 19. ...& it allows us to test ideas, using real data, without an army of tagging experts. (NB it is not as good as real humans, yet)
  20. 20. The Timeline of The Birth of THINGS* in BBC News * “Things” being: Linked Data, real world concepts (or “tags”) that are understandable by machines.
  21. 21. Window on the NEWSROOM Production App Journalists doing Manual Tagging Storyline 2013 2014 2015 Summer Labs Added “Non BBC” Sources Start App prototype PAIN Sources ++ YES!  R&D DISCUSS A LOT FUNDING CRISIS Joined Connected Studio What’s the editorial story L.D. concept? v1 Conceptual Struggle Sceptical Of Linked Data explore APP “Yes – it will work!” Innovation Support Production Scaling Vote 2014 Used Linked Data This saved us! Thanks to Robin JT Joins JUICER POC in the Newsroom
  22. 22. And so “The Things” were born in BBC News. And launched to our users via BBC mobile Apps
  23. 23. OK
  24. 24. What did we find? 1. A Prototype is worth 1000 meetings 2. There will be pain 3. Loose coupling of teams/services is key 4. Keep referring to point 1
  25. 25. Next time? How do we plan it?
  26. 26. The formula is • Enthusiastic people • Cross discipline • Trust & space from your sponsors • Be pourous – flux of collaboration
  27. 27. What we use the Juicer for now
  28. 28. We use it to explore opportunities in the important intersection Technology Journalism Data
  29. 29. Metajournalism: Stories in the Data in the Stories
  30. 30. EU Vote (2014) Media coverage
  31. 31. Over time…
  32. 32. Co-occurence…
  33. 33. More co-occurence
  34. 34. More co-occurence
  35. 35. NB – the tag associations here are “co-occurrences”, and so there is no indication of what the co-occurrence means. i.e. It could be negative, positive, or non associative. All we know is that the terms have co-occurred in News Articles in our source set.
  36. 36. What’s happening right now? We are scaling-up the sources
  37. 37. What’s next for the Newsroom of Things? 1. Extend linked data through other workflows 2. Explore wider opportunities with Partners
  38. 38. Elsewhere in BBC NEWS LABS
  39. 39. Pilots to reach new audiences
  40. 40. “Adaptive News” (pan-dimensional responsiveness) DisplaySpace InteractionTypes ConnectionSpeed Dataalreadyconsumed Location Push/Pull Likes/Dislikes Mood(heartrate,EEG) Timeofday/Routine Timeavailable Media–Video,Audio,Txt LeanForward/SitBack MySocialMediaPatterns
  41. 41. Immersive current affairs
  42. 42. Neurotech
  43. 43. #newsHACK events – rapid prototyping
  44. 44. Language Tech
  45. 45. Argument Mining
  46. 46. Partnerships
  47. 47. Thanks @BBC_News_Labs @completedespair www.BBCNewsLabs.co.uk

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