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      Constructing Social Media Knowledge Graphs with Social Scientists

      1 , 1 , 1 , 2 , 2 , 2

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

      Fusion

      11 - 15 July 2016

      social scientists, social media data, knowledge graph

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          Abstract

          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.

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          Most cited references 13

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          A Method of Automated Nonparametric Content Analysis for Social Science

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            Social media and political communication: a social media analytics framework

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              SocialHelix: visual analysis of sentiment divergence in social media

               Nan Cao,  Lu Lu,  Yu-Ru Lin (2015)
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                Author and article information

                Contributors
                Conference
                July 2016
                July 2016
                : 1-3
                Affiliations
                Computing Science

                University of Aberdeen

                Kings College

                Aberdeen, AB24 5UA, UK
                School of Social Science

                University of Aberdeen

                Kings College

                Aberdeen, AB24 3QY, UK
                Article
                10.14236/ewic/HCI2016.65
                © Vargheese et al. Published by BCS Learning and Development Ltd. Proceedings of British HCI 2016 Conference Fusion, Bournemouth, UK

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                Proceedings of the 30th International BCS Human Computer Interaction Conference
                HCI
                30
                Bournemouth University, Poole, UK
                11 - 15 July 2016
                Electronic Workshops in Computing (eWiC)
                Fusion
                Product
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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