Presenter(s): Katherine Skinner, Edward McCain, Peter Broadwell, Lisa Zirk This panel presented varied impressions from the third Dodging the Memory Hole event October 13-14th at UCLA Libraries, which focused on preserving journalistic content online. Topics include development of roles for each stakeholder community and preparing library science students to meet the demands for archiving news in the future.

1. Edward
McCain,
University
of
Missouri
Peter
Broadwell,
UCLA
Lisa
Zirk,
University
of
Missouri
Katherine
Skinner,
Educopia
InsBtute
Building
a
NaBonal
Agenda
for
Saving
Online
News

2. Roadmap
• Why
online
news
needs
saving
• What
we’re
doing
about
it
• How
are
we
doing
to
date?
• Building
a
NaBonal
Agenda

3. 3
Why
online
news
needs
saving

4. Why
online
news
needs
saving

5. September 11, 2001
Why
online
news
needs
saving

6. Why
online
news
needs
saving

7. Why
online
news
needs
saving

8. Why
online
news
needs
saving

9. Why
online
news
needs
saving

10. Why
online
news
needs
saving

11. Why
online
news
needs
saving

12. Why
online
news
needs
saving

13. Why
online
news
needs
saving

14. JOURNALISTS
PUBLISHERS
TECHNOLOGISTS
ARCHIVISTS
L I B R A R I A N S
F A C U L T Y
STUDENTS
EDITORS
CMS
VENDORS
DISSEMINATORS
R E S E A R C H E R S
P R E S S
ASSOCIATIONS
CONSORTIA
C I T I Z E N S
E N G I N E E R S
Why
online
news
needs
saving

15. system-­‐level
change
can
be
orchestrated
through
the
deliberate
work
of
stakeholders
across
the
whole
system.

16. from
act
to
impact
@Educopia,
Nov
6
What
we’re
doing
about
it

17. What
we’re
doing
about
it
Source:
H.
Preskill,
M.
Parkhurst,
J.
Splansky
Justler,
“Learning
and
EvaluaBon
in
the
CollecBve
Impact
Context”
(FSG,
2014)

18. from
talking
to
acBng
(jump
in!)
What
we’re
doing
about
it

19. 2009
–
LC/NDIIPP
Workshop:
Archiving
Digital
News
2010
–
CiBzen
Journalists
and
Community
News
2011
–
The
Newspaper
Archive
Summit
2013
–
JDNA
Launches
2014
–
Guidelines
for
Digital
News
PreservaBon
Readiness
2014
–
Dodging
the
Memory
Hole
2014
(Mizzou)
2015
–
Dodging
the
Memory
Hole:
An
AcBon
Assembly
(NEH)
2016
–
Dodging
the
Memory
Hole
2016
(IMLS)
Next…?
What
we’re
doing
about
it

20. 118
Ajendees,
15
states+DC,
two
countries,
LOTS
of
backgrounds

23. What
have
we
heard?
We
need
to
meet
the
nerds
where
they
are.
(Ben)
We
need
both
business
and
social
good
arguments
for
preserving
news
(MaQ)
We
have
to
be
mindful
of
organizaSonal
stability—
even
strong
corporaSons
are
not
designed
for
long-­‐
term
survival
(Ana)
We
need
to
ally
tech/
data
infrastructures
with
archival
techniques
and
principles
(Kate)
There
is
a
crucial
relaSonship
between
accountability
and
preservaSon
(Hjalmar)
Terms
of
service
have
changed.
We
are
now
renSng
and
leasing,
not
owning
in
perpetuity.
(Chris)
LC
can
demand
copyright
deposit.
It
has
chosen
not
to.
(Cliff)
We
need
to
put
archiving
on
the
same
fooSng
as
security,
internaSonalizaSon
(Ben)
He
who
controls
the
past
controls
the
future
(Orwell
via
Evan)

24. What
can
we
do?
Assemble
news
hackers
and
lib/archive
hackers
(Hacks
and
Hackers
meets
Code4Lib)
Create
and
test
business
models
for
preserving
news
CollecBng
social
media
as
primary
source
material
Coordinate
with
associaBons
serving
each
stakeholder
community
Create
a
registry
of
digital
news
preservaBon
Produce
more
plugins
for
preservaBon
for
major
plalorms
Produce
advocacy
pieces
designed
for
specific
audiences
Forward
working
models
Talk
to
your
local
paper
and
report
back.

25. ReflecBons
from
the
event

26. The UCLA Broadcast NewsScape
• >306,000 hours of TV news archived digitally
• Recorded 2005-present, ca. 100 shows/day
• 14 countries, 11 languages
• 46 networks (20 non-US), 394,000 shows
• Searchable by ~3.75 billion words of captions, on-screen
text, official transcripts.
Twitter collections at the UCLA Library
• Collected by Digital Library with Social Feed Manager
– or –
• Collected by faculty with various tools and given to us later
• Examples: 785,000 tweets from Arab Spring movements
(collected by faculty)
• Millions of tweets about various global disasters (Library)

27. Twitter/TV news linking experiment
• Apply DBpedia Spotlight Named Entity Recognition
(NER) software to TV and Twitter collections on second
GOP presidential primary debate on 9/16/2015
• Twitter: 800,000 tweets
• TV: CNN coverage of debate
• Minute granularity
• Persons, Organizations, Places
Results:
• Linked entities with URIs to DBpedia resources
• Visualization of correlations between entities
in
collaboraBon
with
MarBn
Klein,
UCLA
Library

28. Twitter/TV News debate coverage: Persons
hjp://sologlo.library.ucla.edu/NER/twijer/gop_persons.html

29. Matching Twitter term profiles to news programs
hjp://sologlo.library.ucla.edu/NER/tv/

30. Student
PerspecBve;
Student
Involvement;
Student
Power!

31. How
are
we
doing
to
date?

32. Photo:
Jim
Merithew/Wired.com
32