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  • 1.
    Altemark, Mikael
    Södertörn University College, School of Culture and Communication.
    Lexis, Discourse Prosodies and the Taking of Stance: A Corpus Study of the Meaning of ‘Self-proclaimed’2011Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    This study is concerned with the description of the semantic and pragmatic characteristics of the attributive adjective self-proclaimed, employing corpus-linguistic methodology to explore its meaning from user-based data. The initial query provided the material from which a lexical pro-file of the target word was constructed, systematically describing collocational data, semantic preferences, semantic associations and discourse prosodies. Qualitative analysis of sample con-cordances illustrated the role of the target word in expressing different kinds of meaning-bearing stances. The results demonstrate the importance of context and communicative functionality as constraints determining meaning, determining the discourse prosodies of self-proclaimed as one of either negation; accepted-positive and accepted-negative. Further, the analysis of self-proclaimed as a stance marker indicates the linking evaluative meanings of extended lexical units to the project of linguistic description of intersubjective stancetaking as a possibly fruitful venue for research

  • 2.
    Andersson, Jonas
    et al.
    Södertörn University, School of Culture and Education, Media and Communication Studies.
    Hammarlund, Johan
    M-Brain AB.
    Kontextförlust och kontextkollaps: Metodproblem vid innehållsanalys av sociala medier2016In: Nordicom Information, ISSN 0349-5949, Vol. 38, no 3, p. 41-55Article in journal (Refereed)
    Abstract [en]

    The article proposes that social media platforms enable large volumes of user-driven circulation of media content, and argues for a combination of qualitative and quantitative considerations when analysing data from such platforms. Issues of context are vital; context must be understood both qualitatively (cultural setting) and quantitatively (statistical reference points for comparison). The authors emphasise that the possibilities of ‘big data’ should not tilt analyses so that sensitivities to subtler meanings are lost. By examining a recent research project of our own, examples are given of how topological network analysis can be successfully combined with close readings of strategically selected parts of the data and how, by doing so, context shifts can be identified that increase the reliability of the analysis. Consequently, it is recommended that mere number crunching is not enough, and that questions of ‘how,’ ‘why,’ and ‘whether’ are required in order to understand the phenomena in their societal settings. 

  • 3. Jokinen, Kristiina
    et al.
    Kerminen, Antti
    Kaipainen, Mauri
    Jauhiainen, Tommi
    Wilcock, Graham
    Turunen, Markku
    Hakulinen, Jaakko
    Kuusisto, Jukka
    Lagus, Krista
    Adaptive dialogue systems - interaction with interact2002In: Proceedings of the 3rd SIGdial workshop on Discourse and dialogue - Volume 2, Stroudsburg: ACM Press, 2002, p. 64-73Conference paper (Refereed)
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