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Towards a classification framework for social machines

Towards a classification framework for social machines
Towards a classification framework for social machines
The state of the art in human interaction with computational systems blurs the line between computations performed by machine logic and algorithms, and those that result from input by humans, arising from their own psychological processes and life experience. Current socio-technical systems, known as ‘social machines’ exploit the large-scale interaction of humans with machines. Interactions that are motivated by numerous goals and purposes including financial gain, charitable aid, and simply for fun. In this paper we explore the landscape of social machines, both past and present, with the aim of defining an initial classificatory framework. Through a number of knowledge elicitation and refinement exercises we have identified the polyarchical relationship between infrastructure, social machines, and large-scale social initiatives. Our initial framework describes classification constructs in the areas of contributions, participants, and motivation. We present an initial characterization of some of the most popular social machines, as demonstration of the use of the identified constructs. We believe that it is important to undertake an analysis of the behaviour and phenomenology of social machines, and of their growth and evolution over time. Our future work will seek to elicit additional opinions, classifications and validation from a wider audience, to produce a comprehensive framework for the description, analysis and comparison of social machines.
978-1-4503-2038-2
Shadbolt, Nigel R.
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Smith, Daniel Alexander
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Simperl, Elena
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Van Kleek, Max
4d869656-cd47-4cdf-9a4f-697fa9ba4105
Yang, Yang
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Hall, Wendy
11f7f8db-854c-4481-b1ae-721a51d8790c
Shadbolt, Nigel R.
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Smith, Daniel Alexander
8d05522d-e91e-4aa7-8972-e362e73f005c
Simperl, Elena
40261ae4-c58c-48e4-b78b-5187b10e4f67
Van Kleek, Max
4d869656-cd47-4cdf-9a4f-697fa9ba4105
Yang, Yang
4f250291-4405-49b3-a662-eb9810e00415
Hall, Wendy
11f7f8db-854c-4481-b1ae-721a51d8790c

Shadbolt, Nigel R., Smith, Daniel Alexander, Simperl, Elena, Van Kleek, Max, Yang, Yang and Hall, Wendy (2013) Towards a classification framework for social machines. SOCM2013: The Theory and Practice of Social Machines, Rio de Janeiro, Brazil. 7 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

The state of the art in human interaction with computational systems blurs the line between computations performed by machine logic and algorithms, and those that result from input by humans, arising from their own psychological processes and life experience. Current socio-technical systems, known as ‘social machines’ exploit the large-scale interaction of humans with machines. Interactions that are motivated by numerous goals and purposes including financial gain, charitable aid, and simply for fun. In this paper we explore the landscape of social machines, both past and present, with the aim of defining an initial classificatory framework. Through a number of knowledge elicitation and refinement exercises we have identified the polyarchical relationship between infrastructure, social machines, and large-scale social initiatives. Our initial framework describes classification constructs in the areas of contributions, participants, and motivation. We present an initial characterization of some of the most popular social machines, as demonstration of the use of the identified constructs. We believe that it is important to undertake an analysis of the behaviour and phenomenology of social machines, and of their growth and evolution over time. Our future work will seek to elicit additional opinions, classifications and validation from a wider audience, to produce a comprehensive framework for the description, analysis and comparison of social machines.

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More information

Published date: 2013
Venue - Dates: SOCM2013: The Theory and Practice of Social Machines, Rio de Janeiro, Brazil, 2013-01-01
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 350513
URI: https://eprints.soton.ac.uk/id/eprint/350513
ISBN: 978-1-4503-2038-2
PURE UUID: 91bb3d24-5486-4343-9891-720fb25717ac
ORCID for Elena Simperl: ORCID iD orcid.org/0000-0003-1722-947X
ORCID for Wendy Hall: ORCID iD orcid.org/0000-0003-4327-7811

Catalogue record

Date deposited: 26 Mar 2013 10:20
Last modified: 10 Apr 2019 00:39

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Contributors

Author: Nigel R. Shadbolt
Author: Daniel Alexander Smith
Author: Elena Simperl ORCID iD
Author: Max Van Kleek
Author: Yang Yang
Author: Wendy Hall ORCID iD

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