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Observing social machines part 1: what to observe?

Published: 13 May 2013 Publication History

Abstract

As a scoping exercise in the design of our Social Machines Observatory we consider the observation of Social Machines "in the wild", as illustrated through two scenarios. More than identifying and classifying individual machines, we argue that we need to study interactions between machines and observe them throughout their lifecycle. We suggest that purpose may be a key notion to help identify individual Social Machines in composed systems, and that mixed observation methods will be required. This exercise provides a basis for later work on how we instrument and observe the ecosystem.

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T. Berners-Lee and M. Fischetti. Weaving the web: The original design and ultimate destiny of the world wide web by its inventor. Harper, San Francisco, 1999.
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Luis von Ahn, Benjamin Maurer, Colin McMillen, David Abraham and Manuel Blum. 2008. reCAPTCHA: Human-Based Character Recognition via Web Security Measures. Science 12 September 2008: Vol. 321 no. 5895 pp. 1465--1468. http://dx.doi.org/10.1126/science.1160379
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M. Motoyama, D. McCoy, K. Levchenko, G. M. Voelker, and S. Savage. Dirty Jobs: The Role of Freelance Labor in Web Service Abuse. In Proceedings of the USENIX Security Symposium, San Francisco, CA, August 2011.
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Twitter. The Twitter Rules. Accessed 3 April 2013. http://support.twitter.com/entries/18311-the-twitter-rules

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  1. Observing social machines part 1: what to observe?

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    cover image ACM Other conferences
    WWW '13 Companion: Proceedings of the 22nd International Conference on World Wide Web
    May 2013
    1636 pages
    ISBN:9781450320382
    DOI:10.1145/2487788

    Sponsors

    • NICBR: Nucleo de Informatcao e Coordenacao do Ponto BR
    • CGIBR: Comite Gestor da Internet no Brazil

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 13 May 2013

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    Author Tags

    1. social machines
    2. web observatories
    3. web science

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    WWW '13
    Sponsor:
    • NICBR
    • CGIBR
    WWW '13: 22nd International World Wide Web Conference
    May 13 - 17, 2013
    Rio de Janeiro, Brazil

    Acceptance Rates

    WWW '13 Companion Paper Acceptance Rate 831 of 1,250 submissions, 66%;
    Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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