Post on 09-May-2015
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The Newsroom of Things
ISKO UK “Taming the News Beast”April 2014
matt shearer – innovation manager@BBC_News_Labs
ABOUT US
“Driving Innovation in News”
ABOUT US
“Driving Innovation in News”
NEW TECH AND DATA
OPPORTUNITIES
NEW TECH AND DATA
OPPORTUNITIES
NEW JOURNALISM
FORMATS
NEW JOURNALISM
FORMATS
EXPLORE
VIA
PROTOTYPING
EXPLORE
VIA
PROTOTYPING
Part of BBC Connected Studio.
The BBC’s open innovation programme.
Part of BBC Connected Studio.
The BBC’s open innovation programme.
WHAT ARE WE* DOING?
* BBC NEWS
Focussing on the next 8 yrs.
INFORMEDUCATE
ENTERTAIN
DIFFERENTIATOR?
Storytelling with Storytelling with BBC (+) contentBBC (+) contentpast & presentpast & present
GLOBALGLOBALCURATIONCURATION
HOW?
GLOBALGLOBALCURATIONCURATION
MACHINES DO HEAVY LIFTING:
Discovery
MACHINES DO HEAVY LIFTING:
Discovery
JOURNALISTS:Amazing Creative Efficiency.
100% time on curation.0% time on digging and filing…
JOURNALISTS:Amazing Creative Efficiency.
100% time on curation.0% time on digging and filing…
MORE MACHINEWORK:
Connecting and Surfacing
MORE MACHINEWORK:
Connecting and Surfacing
“juicer” “#newsVANE”
Stuff & ThingsStuff & Things Trends & SignalsTrends & Signals
SCALE!!
“Stuff & Things”
(and stuff)
The Newsroom of THINGS
30 Languages.+ 24/7
+ Global+ Radio + Online + TV
= a lot of things
HOW DO WE GETTHE THINGS?
THE MACHINESDISCOVER
THE THINGS
It’s notIt’s notNEWNEWROCKET SCIENCEROCKET SCIENCE
It’s notIt’s notNEWNEWROCKET SCIENCEROCKET SCIENCE
TEXT
…well explored
Things in
is a bit more exciting
AV …Things in
Stuff & Things (all 6 types = holy grail)
1.Verbatim transcript (to time) “…where she says ‘damnit!’”2.Contributors (face and voice) “who’s in this segment?”3.Objects (audio & image recog) “tank or a elephant?”4.Scene geolocation “this looks like Bangor”5.Topics mentioned (people, places, orgs,.. Storylines*)6.Actions & Events (non verbal) “people laughing, kissing”
* Jeremy is telling you in a few mins…
from combinations ofthis stuff & things
relevance
Then we get real
this stuff & things
connecting
and from
Since 2012:R&D JUICER
What is it?
• News Content
• Tagged with Linked Data concepts
1
Get Content
2
Extract Concepts
3
Match to DBpedia
4
Annotate Content
5
Push to Triplestore
The Juicer6
Expose via API
“THINGS”
AT PRESENT:
Topics: PEOPLE, PLACES, ORGANISATIONS& themes.
NEAR FUTURE:
Storylines: curated “Story” – an editorial THING
What’s the content?
Unique Things
…used how many times?
Summary figures
• 680,000 articles tagged with 5,700,000 tags
• ~8 tags per article
We save a lot of manual tag time
NB – this is rough, and just for illustration.
Next :Window on the Newsroom
(+AV with transcript generation and speaker recognition)
and after that:and after that:
GLOBALGLOBALJUICERJUICER
spaces we are in:
Journalism as DataMetaJournalism
Object-based Broadcast
Come explore with us!See: newsHACK.co.uk
Come explore with us!See: newsHACK.co.uk
1st & 2nd May.
#newsHACK II. Glasgow & Dublin
(News Orgs and Academics)
1st & 2nd May.
#newsHACK II. Glasgow & Dublin
(News Orgs and Academics)
@BBC_News_Labs
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