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This chapter presents a methodology and software tool for the analysis of Facebook data. In particular, it describes and demonstrates the analytical framework and computational aspects of the Social Data Analytics Tool (SODATO). SODATO fetches, stores, analyses and visualises data from Facebook walls. The method has been previously applied to the US elections of 2008 (Robertson 2011; Robertson et al. 2010a, 2010b). Here, we replicate and extend the analysis to Danish elections in 2011. Our substantive research question is to measure the extent to which Facebook walls function as online public spheres. To do so, we extract the Facebook walls of three prominent candidates in the 2011 Danish general election. Our findings show overlapping online public spheres and how different types of individuals inhabit these overlapping public spheres and how they provide structure and interpretive information for others. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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