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    Constructing Social Media Knowledge Graphs with Social Scientists

    HCI 2016 - Fusion!

    Proceedings of the 30th International BCS Human Computer Interaction Conference (HCI 2016)

    Bournemouth University, Poole, UK, 11 - 15 July 2016

    AUTHORS

    John Paul Vargheese, Peter Travers, Jeff Pan, Kathryn Vincent, Claire Wallace & Anna Kabedeva

    ABSTRACT

    http://dx.doi.org/10.14236/ewic/HCI2016.65

    The increasing adoption and widespread use of social media provides significant opportunities for social scientists to discover novel insights of varying aspects of human behaviour. In response to increasing interest and research in this area, a wide variety of theoretical, methodological frameworks, guidelines and software tools have emerged. However, tools for collecting and analysing social media data are often inaccessible or unsuitable for social scientists. This is often due to interdisciplinary challenges that conflict with social scientists’ research aims, objectives and methodological approaches towards collecting and analysing social media. To address this, we are developing an extensible open source platform to support social scientists’ research in this area. This platform provides the means to collect and annotate social media data which can then be used to construct a knowledge graph. The knowledge graph provides social scientists with the means to consider their analysis within a broader context that may yield further insights.

    PAPER FORMATS

    PDF filePDF Version of this Paper (540kb)