European librarians theatre - Social Media Spotlight

European Librarians Theatre 2nd December 13.15-14.15
The Mobile Effect
Social Media Spotlight
Libraries Go Digital
30th November 13.15-14.15 1st December 13.15-14.15

Social Media Spotlight: Debating the case for social media in Europe’s Libraries. How do we seize the opportunities?
Moderator
Jakob Harnesk Nordic Sales Manager, EBSCO, UK
Panel
Hervé Basset Independant Information Professional, France
Stephane Goldstein Manager, Research Information Network (RIN), UK
Geoff Walton
Senior Researcher Faculty of Arts Media, Staffordshire University, UK
Ake Nygren Project Manager, Kista Idea Lab, Stockholm Public Library, Sweden
Tomas Baiget Head of Information Projects, Catalan Statistical Institute, Spain
European Librarians Theatre 1st December 13.15-14.15

Jakob Harnesk Nordic Sales Manager, EBSCO, UK
1st December 13.15-14.15 Debating the case for social media in Europe’s Libraries. How do we seize the opportunities? Social Media Spotlight

Social Media in libraries European survey findings Jakob Harnesk - Nordic Sales Manager EBSCO information Services

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Hervé Basset Independent Information Professional, France

Life Science 2.0: Market & Medias
MEDIAS
Scientists are ” Leaders of the Web 2.0 pack ”
Social applications will have a major influence on the future of research
33% of scientists are now using blogs

Science 2.0: a success, really?
Facts: Basis=10 millions of Scientists WW
SN: BioMedExperts : 300,000 (less than 1% of FaceBook)
Blogs: only 20,000 are « Science » (0.01% of blogs WW)
Twitter: estimation of 600 Scientwists (6 millions)
What Scientists say:
when you (…) speak with the majority of scientists, you find out that they don’t have much interest in using many of these new technologies » D. Crotty
Noone actually reads the scientific content on a blog
The vast majority of scientists are not yet hooked up on these networks

Why Science 2.O is failing?
A confused market
Too much tools for a same purpose: where is the killer application?
Are not appropriate to the Science Culture
Peer-reviewed journals and Congress are still the models
Scientists do not need web 2.0
90% are satisfied with their information workflow
They have more information than they can absorb and keep up with
Web 2.0 does not bring qualitative information
As a result, very low adoption

What about Science Librarians?!
Which attitude?
« the challenge for libraries is to find ways to embrace social networks sites and technologies without killing their potential » D. Stuart, Research Information, 2010
New role of the Info Scientist:
The Info consultant

Choose the right train (where your users are) Students Confirmed scientists USA Europe Public institutions Companies Junior scientists

Stephane Goldstein Manager, Research Information Network (RIN), UK

Geoff Walton
Senior Researcher Faculty of Arts Media, Staffordshire University, UK

I-ACT Institute for Applied Creative Thinking Staffordshire University Geoff Walton Senior Researcher Social media in higher education: some thoughts from experience

“ conversation proceeded with ‘neither moderators, nor rules’ it was like ‘a school . . . without a master.’ ‘Education is . . . taught without discipline. Learning (if it be possible) is here insinuated without method” (Cowan, 2005, p100 quoted by Scoble in Walton & Pope, p135)
“ find jobs, conduct business, exchange information, or celebrate important events of their lives” (Melton, p 226 quoted by Scoble in Walton & Pope, p136)
“ public space at a time when political action and debate had begun to spill beyond the institutions that had traditionally contained them” (p. 241, Melton, 2001, p241 quoted by Scoble in Walton & Pope, p136).

Students who participate in online social network / Social Media learning (Group A) will demonstrate:
(1) a greater degree of knowledge about e-resources
(2) a greater ability to evaluate information
than those who do not receive this intervention (Group C)
Post-delivery diagnostic test – 14 multi-choice questions on the library catalogue, e-journals, referencing and evaluating web pages (analysed using one way ANOVA statistical test)
Test scores between Group A (experimental group) and Group C (control group) are significantly different at
p < .025, t = 2.66 , Degrees of Freedom (df)= 22 (within groups).

Questioning Analysis metacognition Affective state Style state

Walton, G. & Hepworth, M. (2011, in press). A longitudinal study of changes in learners’ cognitive states during and following an information literacy teaching intervention. Journal of Documentation , 67(3), n.p.

Learning is a social activity
Engaging in online discourse triggers a variety of positive cognitive and behavioural changes
Social media learning offers real pedagogical possibilities as long as it is part of blended approach
And finally...
Anyone interested in writing a book on social media??
Let me know
Geoff Walton email: g.l.walton@staffs.ac.uk

Ake Nygren Project Manager, Kista Idea Lab, Stockholm Public Library, Sweden

Check in there! – towards a geolocal library @ #online10

#ssbnu

KistaIdeaLab.se MobileLifeCentre.org KistaWorldMusic.com DigitalArtCenter.se

Tomas Baiget Head of Information Projects, Catalan Statistical Institute, Spain

Online Information Seminars European Librarian Theatre and International Forums Web 2.0 By Tomàs Baiget Barcelona (Spain) London, Wednesday, 2010 December 1 st , 13:15-14:15

Before the film, the adverts…

ThinkEPI yearbooks (2007-)

Web 2.0 in Spain
Scientists don't use very much 2.0 resources. Social networks are a good complement for people to communicate, but not for science itself.
Use of SlideShare and Twitter increasing
Heavy use on general topics with own blogs or Facebook by newspapers, public libraries, associations, etc.

Psycho-social laws and networking information services: Some initial research on people 2.0 behaviour

Summary
More networks
80/20 rule (= exponential or power law)
Matthews effect
Stigmergy, swarm effect
Distributed intelligence and knowledge

Each day more networks
Networks: streets in villages, roads, rail, undergroud, bus lines, sea and air-lines, power, telephone, freeways, TV networks, etc.
On the super-network, internet , you can also create multiple sub-networks: mailing lists, wikis, social networks, etc.

World citizens
Better and cheaper transport and communications:
- we know better each other
- we care more on standards and serious research
- more awareness on science benefits for the society
- more interaction  rules need

80/20 rule also happens on the internet
1906 - Wilfredo Pareto wealth
1926 - Alfred Lotka authors
1934 - Samuel Bradford articles
1935 - George Zipf word use
1978 - Harold Heaps new words
2004 - Chris Anderson long tail

Exponential or power law y = a n mx x y

Exponential (cont) logarithmic scale

80% 20% Long tail The long tail (Chris Anderson) is a exponential decay

Dynamic 80/20 rule
For the 80/20 rule is met over time, the "Matthew effect" must be met:
" For to all those who have, more will be given, and they will have an abundance...". Matthew 25:29

Dynamic 80/20 rule
2010
2020 richness richness population population 80% 80% 80% 80%

Two examples of Matthews effect
John Q. Stewart (1947): Demographic gravitation
Dereck De Solla Price (1976): cumulative advantage of the more cited articles

Estigmergy
Involuntary collaboration between individuals, resulting from their actions in a shared environment
Stimulation of workers by the results they have achieved
The stigmergy explains of Matthew effect
estigma = sign ergos = action

Swarm effect
http://upload.wikimedia.org/wikipedia/commons/4/4d/Heringsschwarm.gif
http://upload.wikimedia.org/wikipedia/commons/5/59/Synchropredation.gif
Harengs eating copepodes

Social capital
Ability of a group of people for a successful collaboration and opportunities generation for joint projects that bring benefits both individually and collectively.
It is based on:
- The mutual trust
- Effective agreed standards
- Social networks.

Monetary capital
Physical capital (properties)
Human capital (education received)
Intellectual capital (studies)
...
Social capital (networks and relationships)
Social capital (cont)

Distributed intelligence
"Transactive memory" - who has / where is the information I need?
Each time we know on more topics with less depth, but specialize in something very specific
Two forms of distributed intelligence:
Animal-level (estigmergy, swarm effect)
Collaborative problem-solving

Conclusions
As the world becomes smaller, population grows and communications improve:
- we increase our contacts
- people are pushed to become more social and to cooperate

In the same way as a craftsman opens a shop in our street to offer his services...
...people should open a "shop" on the Web where we can offer our skills (paid and/or free).
If we want the society to prosper we have a moral duty to contribute with our experience.

Thank you! http://eprits.rclis.org

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European librarians theatre - Social Media Spotlight

by EBSCO Information Services on Dec 01, 2010

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European librarians theatre - Social Media Spotlight — Presentation Transcript