Dynamics of online peer production and collaborative sensemaking
This event took place on Tuesday 02 November 2010 at 12:00
Dario Taraborelli Centre for Research in Social Simulation at the University of Surrey
This talk consists of two parts: the first part focusses on a study of the dynamics of online peer production systems; the second discusses crowdsourcing strategies to semantically structure a large body of knowledge.
Despite a large interest in the research community for online peer production, little has been done to study the dynamics of online communities that form part of larger ecosystems, and in particular what determines the performance and ultimately the survival of individual collaborative communities within such an ecosystem. This is partly due to the lack of large-scale data on the temporal evolution of collaborative ecosystems, partly to a poor understanding of what it means for communities that form these ecosystems to be "viable". Studying how these communities evolve over time can help us understand the determinants of their growth and assess their viability as a function of their social structure, internal functioning and relationship with competing communities. In this talk I present two case studies looking at community dynamics in the context of the wiki and social media ecosystem. I also present a tool called WikiTracer whose goal is to help us collect in a standardised way detailed data on wiki-based communities from a variety of heterogeneous platforms.
The second part of this presentation describes the CrowdLinks project, a proposed framework to allow large populations of users to semantically annotate the relationship between scholarly articles. Online reference management services offer a unique opportunity to add a collaborative semantic layer on top of a citation network. In this talk I present the rationale, design and expected outcome of this framework and discuss how collaborative citation typing can help us better understand the structure and progress of scientific research.
This event took place on Tuesday 02 November 2010 at 12:00
This talk consists of two parts: the first part focusses on a study of the dynamics of online peer production systems; the second discusses crowdsourcing strategies to semantically structure a large body of knowledge.
Despite a large interest in the research community for online peer production, little has been done to study the dynamics of online communities that form part of larger ecosystems, and in particular what determines the performance and ultimately the survival of individual collaborative communities within such an ecosystem. This is partly due to the lack of large-scale data on the temporal evolution of collaborative ecosystems, partly to a poor understanding of what it means for communities that form these ecosystems to be "viable". Studying how these communities evolve over time can help us understand the determinants of their growth and assess their viability as a function of their social structure, internal functioning and relationship with competing communities. In this talk I present two case studies looking at community dynamics in the context of the wiki and social media ecosystem. I also present a tool called WikiTracer whose goal is to help us collect in a standardised way detailed data on wiki-based communities from a variety of heterogeneous platforms.
The second part of this presentation describes the CrowdLinks project, a proposed framework to allow large populations of users to semantically annotate the relationship between scholarly articles. Online reference management services offer a unique opportunity to add a collaborative semantic layer on top of a citation network. In this talk I present the rationale, design and expected outcome of this framework and discuss how collaborative citation typing can help us better understand the structure and progress of scientific research.
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Social Software is...
Interacting with other people not only forms the core of human social and psychological experience, but also lies at the centre of what makes the internet such a rich, powerful and exciting collection of knowledge media. We are especially interested in what happens when such interactions take place on a very large scale -- not only because we work regularly with tens of thousands of distance learners at the Open University, but also because it is evident that being part of a crowd in real life possesses a certain 'buzz' of its own, and poses a natural challenge. Different nuances emerge in different user contexts, so we choose to investigate the contexts of work, learning and play to better understand the trade-offs involved in designing effective large-scale social software for multiple purposes.
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