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Observation and Analysis of Social Machines Markus Luczak-Roesch Web and Internet Science Group University of Southampton @mluczak | [email protected]

Observation and Analysis of Social Machines

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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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Page 1: Observation and Analysis of Social Machines

Observation and Analysis of Social Machines

Markus Luczak-Roesch Web and Internet Science Group

University of Southampton @mluczak | [email protected]

Page 2: Observation and Analysis of Social Machines

On the market of data analysis methods we are the customer.

Image source: http://mrg.bz/uzjgr8

Page 3: Observation and Analysis of Social Machines

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

Page 4: Observation and Analysis of Social Machines

Zooniverse

Page 5: Observation and Analysis of Social Machines

Two paths to science

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Talk and Task participation Ta

lk c

ontri

butio

ns

Classifications

Page 7: Observation and Analysis of Social Machines

Participation patterns

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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

Page 8: Observation and Analysis of Social Machines

Ecosystem effects

PH  

GZ  

SF  

NN  

CC  

SG  

SW  

PF  

AP  

Page 9: Observation and Analysis of Social Machines

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

Page 10: Observation and Analysis of Social Machines

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

Page 11: Observation and Analysis of Social Machines

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

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Voc

abul

ary

shift

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ocab

ular

y sh

ift

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RE-TRACE INFORMATION FLOWS TO CAPTURE SOCIO-TECHNICAL PROBLEM SOLVING

Image source: http://commons.wikimedia.org/wiki/File:Minard.png

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Information flows in Citizen Science

Page 14: Observation and Analysis of Social Machines

Information flows in Citizen Science

Page 15: Observation and Analysis of Social Machines

Information flows in Citizen Science

Page 16: Observation and Analysis of Social Machines

Information flows in Citizen Science

Page 17: Observation and Analysis of Social Machines

Information flows in Citizen Science

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Social Machine algorithms as cascades of information

•  They emerge.

•  They branch and merge.

•  They may be(come) undesired.

•  They die.

M1

M2 M3

Page 19: Observation and Analysis of Social Machines

FROM SYSTEM SNAPSHOTS TO LONGITUDINAL STUDIES

A footer

Page 20: Observation and Analysis of Social Machines

Observing Wikipedia The growth in edits (x), discussions (y) and Wikipedians (bubble

radius) of Wikiprojects based on their root project page

Page 21: Observation and Analysis of Social Machines

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.

Page 22: Observation and Analysis of Social Machines

Interactions Beyond Wikipedia

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•  Flows of information and interactions are the traces of socio-technical problem solving

•  Social Machines require observational and longitudinal analysis

Markus Luczak-Roesch

[email protected]

www.markus-luczak.de

@mluczak