This article examines how Members of the German Bundestag (MdBs) used Twitter in the context of the country's 2013 federal elections. In particular, we explore the dynamics in the MdBs' use of Twitter during different periods of the electoral term: How do the tweeting habits of MdBs differ by party before and during the election campaign in (a) public versus personal communication and (b) campaign versus policy messages? How are the selection of interaction partners, centralization on leading actors, and reciprocity of the MdBs' Twitter networks affected by election campaigning? We address these questions by conducting a content analysis combined with a network analysis of interaction patterns. The comparative application of both methods explains the differences of MdBs' networks. The comparison clearly exhibits election campaign-driven changes related to the amount of activity and the character of tweeted messages. During the campaign period, MdBs' tweets clearly discussed specific policies less than before. Tweeting about one's personal life occurred also less frequently in the final campaign stage. Instead, the MdBs mainly complement other forms of election campaigning through a vivid metacommunication on campaign developments. Network relations reflect these variations and were less often reciprocated in proximity to the election and showed a higher degree of group homophily. We also found a substantial representation of print and broadcast media actors in the examined @reply networks. It is likely that these interactions and conversations with journalists are part of an MdB's individual performance of "news management."

It is commonly said that “there are” social structures on the Internet. But how can they exist there, how can we identify and classify them? A theoretical and methodological framework is presented that describes the relationship between data structures, algorithms, and different types of social structures. We suggest that the latter are “represented” online in different senses of the word: They are not only described, but, by manipulating data, social structures can also be constituted and modified. We then outline a methodology for the analysis of social structures on the Internet: By analyzing the practical meaning of the structures of Internet platforms, we can reconstruct their providers’ and users’ ontological commitments (i.e., what kinds of social structures they have to assume “there are”).

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