Analysis of Social Media and Ubiquitous Data: International by Wolfgang Woerndl, Alexander Manhardt (auth.), Martin

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By Wolfgang Woerndl, Alexander Manhardt (auth.), Martin Atzmueller, Andreas Hotho, Markus Strohmaier, Alvin Chin (eds.)

This booklet constitutes the joint completely refereed post-proceedings of The Modeling Social Media Workshop, MSM 2010 held in Toronto, Canada in June 2010 and the overseas Workshop on Mining Ubiquitous and Social Environments, MUSE 2010, held in Barcelona, Spain in September 2010.

The 8 revised complete papers incorporated have been conscientiously reviewed and chosen after rounds of reviewing and revision. The papers deal with a variety of elements of the research and engineering of socio-computational structures within which social, ubiquitous and computational approaches are interdependent and tightly interwoven

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Extra resources for Analysis of Social Media and Ubiquitous Data: International Workshops MSM 2010, Toronto, Canada, June 13, 2010, and MUSE 2010, Barcelona, Spain, September 20, 2010, Revised Selected Papers

Sample text

Thus being connected to issue in turn helps to satisfy the citizen’s goal, opinion be shared. The Politician actor may similarly receive popular answers, dependent upon the complementary filter, which will help the actor to frame the issue as a consensus but hurt the ability to frame the issue as an open debate. As the alternative, contestatory filter is not employed, the politician will not receive controversial answers; thus nothing clearly helps to frame the issue as an open debate nor hurts the ability to frame the issue as a consensus.

However, variations in the design of a social media technology system can lead to different levels or kinds of engagement, including low participation or polarized interchanges. An effective means toward learning of and analyzing the complex motivations, expectations, and actions among various actors in political communication can help designers create satisfactory social media systems. This paper uses the i* modeling framework to analyze the impact that alternative configurations of a social media technology can have on the goals and relationships of the actors involved.

Citations relevant to the motivations of stakeholders involved in such practices were excerpted from the sources5 . Of special concern were motivations having to do with information and opinion sharing, as our example’s proposed technology – the collaborative filter – would primarily facilitate such practices and their projected consequences on stakeholder goals and motivations. 3), and subsequently codified in i* model syntax. Since we were consciously searching 4 5 Note that the modeled scenario was not implemented in an actual usage environment; we merely utilize the context as a setting in which to demonstrate this modeling approach.

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