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    Semantic mapping of discourse and activity, using Habermas’s theory of communicative action to analyze process

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    Accepted (peer-reviewed) manuscript
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    Authors
    Pianosi, Monica
    Bull, Richard
    Murtagh, Fionn cc
    Affiliation
    University of Derby
    Issue Date
    2015-06-02
    
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    Abstract
    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, Jürgen 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.
    Citation
    Murtagh, F., Pianosi, M., and Bull, R. 'Semantic mapping of discourse and activity, using Habermas’s theory of communicative action to analyze process' 2015, 50 (4):1675 Quality & Quantity
    Publisher
    Springer
    Journal
    Quality & Quantity
    URI
    http://hdl.handle.net/10545/613668
    DOI
    10.1007/s11135-015-0228-7
    Additional Links
    http://link.springer.com/10.1007/s11135-015-0228-7
    Type
    Article
    Language
    en
    ISSN
    0033-5177
    1573-7845
    ae974a485f413a2113503eed53cd6c53
    10.1007/s11135-015-0228-7
    Scopus Count
    Collections
    Department of Electronics, Computing & Maths

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