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This paper presents the results of a literature review in regard to Social Media and participation. Besides that, to understand the meaning and impact of Social Media on elections, we show field results from the 2010 and 2011 elections in the Netherlands. There are several challenges when it comes to engaging people in party politics. The current findings in literature show us that previous efforts to shape public participation with prior Internet tools did not meet expectations. With Social Media this could change, because participation seems to be the key concept that explains the difference between ‘old’ web and ‘new’ Social Media. In the Netherlands, Social Media did not significantly influence voting behaviour during the local elections (2010/2011). But, during the national elections (2010), politicians with higher Social Media engagement got relatively more votes within most political parties. In conclusion, we propose a future research agenda to study how political parties could benefit from Social Media to reinvent and improve the way they work with their members and volunteers. Notice: © IFIP, 2011. This is the author’s version of the work. It is posted here by permission of IFIP for your personal use. Not for redistribution. The definitive version was published in Lecture Notes in Computer Science, 2011, Volume 6847/2011, 25-35, Boston: Springer.
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AbstractBackground: Ecological models are currently the most used approaches to classify and conceptualise determinantsof sedentary behaviour, but these approaches are limited in their ability to capture the complexity of and interplaybetween determinants. The aim of the project described here was to develop a transdisciplinary dynamic framework,grounded in a system-based approach, for research on determinants of sedentary behaviour across the life span andintervention and policy planning and evaluation.Methods: A comprehensive concept mapping approach was used to develop the Systems Of Sedentary behaviours(SOS) framework, involving four main phases: (1) preparation, (2) generation of statements, (3) structuring (sorting andranking), and (4) analysis and interpretation. The first two phases were undertaken between December 2013 andFebruary 2015 by the DEDIPAC KH team (DEterminants of DIet and Physical Activity Knowledge Hub). The lasttwo phases were completed during a two-day consensus meeting in June 2015.