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 tackle quite a few points of the research and engineering of socio-computational platforms during which social, ubiquitous and computational techniques are interdependent and tightly interwoven
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Additional 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
Ca Abstract. Social media can be employed as powerful tools for enabling broad participation in public policy making. 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.
The result of this ﬁltering process is the creation of resources that the other actors depend upon. The politician receives answers, which may either be popular or controversial. Note the dependencies that link these two answer characteristics – modeled as a soft goal – to the alternative ﬁlter schemes – modeled as tasks. By following the dependency and contribution links propagating from these two design alternatives, an analyst may chart the path of each feature’s contributions to stakeholder goals.
The designers indicated that a goal-oriented approach to codifying this domain’s design knowledge can have multiple uses and beneﬁts to system designers. Early results indicate that a small sample of designers in this area do not consult the academic literature related to their ﬁeld; several participants expressed frustration regarding the length of publications and the corresponding time investment required to obtain relevant information. These individuals have found that a structured representation of their domain’s information in terms of goals to be achieved through implementable design features is very relevant and useful to their design work.