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CREATINGENGAGINGCONTENTINTHE
NEWSROOMS
Steven Bourke ( steve@schibsted.com )
1
TODAY’STALK:OVERVIEWOFTECHNOLOGY
CONTENTCREATORSUSEFORDIGITALNEWS
2
IHOPEYOUFINDTHISINTERESTING
BECAUSE…
3
CONTENTCREATIONONNEWSSITES
ISMOVINGMOREANDMORE
TOWARDSVIDEO
4
MOSTRESEARCHI’MFAMILIARWITH
INTHENEWSSPACEFOCUSSESON
AGGREGATION(UNLIMITED
CONTENT)
5
THESETOOLSAREUSEDBYCONTENT
CREATORSTHATRANGESFROM5
(MIN)TO300(MAX)STORIESADAY
6
FLOW
• Give some context about Schibsted
• Then some context about our News sites
• The creators toolbox
• Fin.
7
CONTEXT:WHATISSCHIBSTED
SCHIBSTEDFOUNDER
9
In 1839 Christian Michael
Schibsted starts a print
house in Norway.
Over the next 160 years
Schibsted would expand
their print business into
multiple countries.
MOVETOONLINE:SCHIBSTEDFOUNDS
FINNAONLINEMARKETPLACE-1999
BOLDMOVEBECAUSEITCANNIBALISES
NEWSPAPERREVENUES
SCHIBSTEDONLINE
12
BUILDTHENEXTGENERATIONOF
PLATFORMS
13
NEW ONLINE
SERVICES
Marketpla
ces
Media
Houses
14
NEW ONLINE
SERVICES
Media
Houses
15
Content
creators
(Journalists, Editorial
etc.)
Distribution
(Newspapers, Facebook,
Twitter, Youtube etc.)
16
Cares about
content
Cares about
monetisation
17
Cares about
content
#DEARMARK
JOURNALISTSANDEDITORIALLOVE
TECHNOLOGYBECAUSEITALLOWSTHEM
TOENGAGEWITHTHEIRAUDIENCE
19
TRADITIONALFRONTPAGEEXPERIENCES
20
PODCASTS
21
VIDEO(LIVE/RECORDED)
22
LOVEMAKINGCONTENT
23
NEWSROOMFLOW
24
DISCOVER:TOOLSTOSCOURNEWSSOURCES
TORESEARCHANDBUILDSTORIESFROM
25
THINGSHAPPENINGHERE…
26
27
LEVERAGESSTANDARDINFORMATION
RETRIEVALTECHNIQUES
28
LEVERAGESENTITYEXTRACTION
(LANGUAGEISACHALLENGE)
29
HUMANINTHELOOP(EDITORIAL/JOURNALISTS
/METADATATEAMS)IMPROVEQUALITY
NEWSROOMFLOW
30
CREATE:ACMSTHATALLOWSJOURNALISTS
TOFOCUSSOLELYONCONTENT
31
NEWSROOMFLOW
32
CHANNELS
33
Front Page
(Below the fold)
Related Article News letters
MAINGOAL:
AUTOMATETHE
PAPER
CHANNELS
35
Front Page
(Below the fold)
Related Article News letters
36
NODEEP
LEARNING:-(
STANDARDTECHNIQUES
• Popularity
• Recency
• Collaborative filtering
37
‘MESSUP’RELATEDCONTENTAND
JOURNALISTSWILLCOMPLAIN…ALOT
38
EDITORSWILLSAY“SHUTDOWNTHEMACHINE”IF
THERECOMMENDATIONSDOSOMETHING
‘ODD’(READ:RECOMMENDATIONSTHEYDON'TLIKE)
39
SIMPLETECHNIQUESBASEDAROUND
POPULARITYPERFORMQUITEWELL.
40
BUT….
41
ITCANVARYBASEDONWHERETHE
RECOMMENDATIONSARESHOWN
42
NEWSROOMFLOW
43
ANALYTICS
• Lets editorial and journalists understand audience
for particular story
• Performance of story
• How it contributes to rest of site via recirculation
44
THATSTHENEWSFLOW
45
TOWRAPITUP…
46
MEDIASITESCAREABOUTTHENEWSAND
ENGAGEMENTWITHTHEAUDIENCETHEMOST
47
INFORMATIONRETRIEVAL,NATURALLANGUAGEPROCESSING
ANDRECSYS AREPARTOFMODERNDAYNEWSROOMS
48
DISTRIBUTIONANDCONTENTCREATIONISLIKELY
TOCONTINUEHAVINGALOVE/HATERELATIONSHIP
49
THANKS!QUESTIONSCOMMENTSOR
INSULTS?
50
WEAREHIRINGINBARCELONA,LONDON,OSLO
ANDSTOCKHOLMSTEVE@SCHIBSTED.COM

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Presentation by Steven Bourke at the EBU Big Data and Society workshop