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Talk given at the Southampton Data Analysis Workshop (18.-19. September 2014) about the analysis of the Zooniverse citizen science platform and WikiProjects as a subset of Wikipedia.
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Observation and Analysis of Social Machines
Markus Luczak-Roesch Web and Internet Science Group
University of Southampton @mluczak | [email protected]
On the market of data analysis methods we are the customer.
Image source: http://mrg.bz/uzjgr8
Social Machines?
• Understanding socio-technical systems at the interface of • their intended problem solving
capabilities and • the social interaction they
support.
• Derive indicators for the success of Social Machines and their underpinning in system components.
Image source: http://www.onnai.com/wp-content/uploads/2009/11/social_machine_mkl2.gif
Zooniverse
Two paths to science
Talk and Task participation Ta
lk c
ontri
butio
ns
Classifications
Participation patterns
0
2
4
6
8
10
12
14
16
18
20
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
Ac#v
e users in %
Month since registra#on
Project A
Project B
Project C
Participant X
Part. Y
Ecosystem effects
PH
GZ
SF
NN
CC
SG
SW
PF
AP
Linguistic change
Project initial 10% most recent 10% PH transit, star, day, aph,
look, one, planet, like, possibl, dip
day, transit, httparchive. . . , possibl, star, kid, dip, look, planet, like
SF like, look, fish, sea, scallop, thing, imag, right, star, left
corallinealga, anemon, object, hermitcrab, bryozoan, stalkedtun, shrimp, left, cerianthid, sanddollar
NN field, record, one, use, enter, get, work, can, specimen, button
like, field, record, date, name, can, click, look, get, label
Linguistic change
Project initial 10% most recent 10% PH transit, star, day, aph,
look, one, planet, like, possibl, dip
day, transit, httparchive. . . , possibl, star, kid, dip, look, planet, like
SF like, look, fish, sea, scallop, thing, imag, right, star, left
corallinealga, anemon, object, hermitcrab, bryozoan, stalkedtun, shrimp, left, cerianthid, sanddollar
NN field, record, one, use, enter, get, work, can, specimen, button
like, field, record, date, name, can, click, look, get, label
Coordination and annotation Microposts Science
Help Chat
PH SG SW NN GZ CC PF SF AP WS PH SG SW NN GZ CC PF SF AP WS
PH SG SW NN GZ CC PF SF AP WS PH SG SW NN GZ CC PF SF AP WS
91% 2
0
6
4
10
8
2
0
6
4
10
8
Voc
abul
ary
shift
V
ocab
ular
y sh
ift
RE-TRACE INFORMATION FLOWS TO CAPTURE SOCIO-TECHNICAL PROBLEM SOLVING
Image source: http://commons.wikimedia.org/wiki/File:Minard.png
Information flows in Citizen Science
Information flows in Citizen Science
Information flows in Citizen Science
Information flows in Citizen Science
Information flows in Citizen Science
Social Machine algorithms as cascades of information
• They emerge.
• They branch and merge.
• They may be(come) undesired.
• They die.
M1
M2 M3
FROM SYSTEM SNAPSHOTS TO LONGITUDINAL STUDIES
A footer
Observing Wikipedia The growth in edits (x), discussions (y) and Wikipedians (bubble
radius) of Wikiprojects based on their root project page
Wikipedia: Past, Present, Future
Synergistic to the Web’s Growth, Wikipedia has evolved from a resource of �documents, to data, and to people. �
�Wikipedia continues to enrol and mobilise people and technology. �
The evolution of Wikipedia is part of a complex and fluid�eco-system of social machines.
Understanding Wikipedia involves studying it as a system in and of itself, �
and as an actor in the in the growing and re-configuring Web.
Interactions Beyond Wikipedia
• Flows of information and interactions are the traces of socio-technical problem solving
• Social Machines require observational and longitudinal analysis
Markus Luczak-Roesch
www.markus-luczak.de
@mluczak