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birth of The Newsroom of Things
(at BBC)
For HACKS HACKERS LONDON Feb 2015 ##HHLDN
Matt Shearer @BBC_News_Labs
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
HERE
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 create
productive
teams
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
Get
Content
2
Extract
Concepts
3
Match to
DBpedia
4
Annotate
Content
5
Push to
Triplestore
6
Expose
via
API
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, yet)
The Timeline of
The Birth of THINGS*
in BBC News
* “Things” being: Linked Data, real world concepts (or “tags”)
that are understandable by machines.
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
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. Keep referring to point 1
Next time? How do we plan it?
The formula is
• Enthusiastic people
• Cross discipline
• Trust & space from your sponsors
• Be pourous – flux of collaboration
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. 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.
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 Partners
Elsewhere in BBC NEWS LABS
Pilots to reach new audiences
“Adaptive News”
(pan-dimensional responsiveness)
Dis
pla
y S
pa
ce
Inte
ractio
n T
yp
es
Co
nn
ectio
n S
pe
ed
Da
ta a
lre
ad
y c
on
su
me
d
Lo
ca
tio
n
Pu
sh
/ P
ull
Lik
es / D
islik
es
Mo
od
(h
ea
rt r
ate
, E
EG
)
Tim
e o
f d
ay /
Ro
utin
e
Tim
e a
va
ilab
le
Me
dia
– V
ide
o, A
ud
io, T
xt
Lean F
orw
ard
/ S
it B
ack
My S
ocia
l M
ed
ia P
att
ern
s
Immersive current affairs
Neurotech
#newsHACK events – rapid prototyping
Language Tech
Argument Mining
Partnerships
Thanks
@BBC_News_Labs
@completedespair
www.BBCNewsLabs.co.uk
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