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Critique Session

Critique Session. Social Computing Workshop May 30,2008. Yin and Yang of Social Computing. Broad thinking about hard problems Guidance about whether we’ve thought deeply and broadly enough Constraining and organizing the problem space How to build a formal program of study. Your Panelists.

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Critique Session

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  1. Critique Session Social Computing Workshop May 30,2008

  2. Yin and Yang of Social Computing • Broad thinking about hard problems • Guidance about whether we’ve thought deeply and broadly enough • Constraining and organizing the problem space • How to build a formal program of study

  3. Your Panelists John Heidemann, USC/ISI Koushik Kar, Rensselaer Polytechnic Institute Mani Srivastava, UCLA Mingyan Liu, University of Michigan, Ann Arbor Kevin Almeroth, UC-Santa Barbara (moderator)

  4. (One/Our) Social Computing Definition “the deployment of network communication systemsfor the purpose of allowing communities of people to interact within particular domains of knowledge for one or more goals”

  5. Technologies and Methods data-mining, visualization of evolving social action, developing reputation or trust metrics, archiving of social data, prevention of reputation-“hacking” or reputation aggression, interoperability (including both the Facebook social markup language approach and the Google OpenSocial API approach), and information provenance (or mechanisms for capturing and conveying the origins and processing history of digital information) • Information Credibility and Trust source authentication in distributed information environments, user perceptions and use of reputation metrics and tools (e.g., ratings of posts on a social bookmarking site), social interaction processes for establishing document trust, comparison of the way trust develops in social computing environments with the historical diffusion of trust in older media environments (e.g., when writing was new and people had difficulty learning to trust documents), and governance structures for online knowledge-production communities • Collective Action the influence of social computing on coordinating collective action, the impact on collective action of lower organizational overhead costs and lower individual “buy-in” costs of time and money (e.g., the ability to use the Internet to inexpensively publicize and coordinate an event, or to conveniently register support for a cause by a simple online action), the paths by which general purpose social computing sites evolve into goal-directed platforms for social action, how people address sociopolitical issues differently online and offline, the level of social trust needed to instigate online collective action, and other issues

  6. Education Ten Point Plan • Attention to student academic path • Foundational graduate courses in breadth of areas • CITS PhD Emphasis (inc. the “gateway seminar”) • Formation of inter-disciplinary graduate PhD committees • Guidance on how to form ideas into research projects • Consideration for post-graduation opportunities • Academia v. industry • Diversity in thought and perspective • Cross-pollinating the disciplines • Support for under-represented minorities

  7. Themes from Today • Contemplation for system design and building… yet struggling to understand future social computing uses and needs • Understanding the evolutionary forces that have molded social computing and understanding what will drive the next generation • And to really knock things off kilter, consider the pace at which the underlying technology evolves • If we were to develop a social computing model, what would it look like? • The relationships? The inter-personal space? The actions? Uses? • In some cases, we have very specific scenarios (social action)

  8. Conclusion… Where Do We Go Next?

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