Abstract. 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.

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This paper addresses the notion of aboumess in information retrieval. First, an exposition is given on how aboumess relates to relevance -a fundamental notion in information retrieval. A short summary is given on how aboumess is defined in more prominent information retrieval models. A model-theoretic definition of aboutness is then analyzed in an abstract setting using so called information fields. These allows properties of aboutness to be expressed independent of any given information retrieval model. As a consequence, information retrieval models can be theoretically compared according to what aboumess postulates they support. The Boolean and Coordinate retrieval models are compared in this fashion. In addition to model-theoretic aboumess, preferential entailment and conditional probabilities are employed to define aboumess behveen primitive information carriers. The preferential entailment approach is based on a preference semantics derived from nonmonotonic logics. The nonmonotonic behaviour of aboutness under information composition is highlighted. Rules describing how aboutness may be preserved under composition are proposed. Finally, a term aboutness definition drawn from a network-based probabilistic framework is analyzed. Conclusions regarding the implied retrieval effectiveness are drawn.

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