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Murtagh, F.; Pianosi, M.; Bull, R. (2015)
Publisher: Springer
Languages: English
Types: Article
Subjects: Text Analysis, Correspondence analysis, Multivariate Data, Semantics, Social Media, Habermas
Our primary objective is evaluation of quality of process. This is addressed through semantic mapping of process. We note how this is complementary to the primacy of output results or products. We use goal-oriented discourse as a case study. We draw benefit from how social and political theorist, Ju¨rgen Habermas, uses what was termed ‘‘communicative action’’. An orientation in Habermas’s work, that we use, is analysis of communication or discourse. For this, we take Twitter social media. In our case study, we map the discourse semantically, using the correspondence analysis platform for such latent semantic analysis. This permits qualitative and quantitative analytics. Our case study is a set of eight carefully planned Twitter campaigns relating to environmental issues. The aim of these campaigns was to increase environmental awareness and behaviour. Each campaign was launched by an initiating tweet. Using the data gathered in these Twitter campaigns, we sought to map them, and hence to track the flow of the Twitter discourse. This mapping was achieved through semantic embedding. The semantic distance between an initiating act and the aggregate semantic outcome is used as a measure of process effectiveness.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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