Constructing Social Media Knowledge Graphs with Social Scientists

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.
Original languageEnglish
Title of host publicationProceedings of the 30th International BCS Human Computer Interaction Conference: Companion Volume
Place of PublicationSwindon, GBR
PublisherBCS Learning & Development Ltd.
Number of pages3
Publication statusPublished - 11 Jul 2016
Event30th International BCS Human Computer Interaction Conference - Poole, United Kingdom
Duration: 11 Jul 201615 Jul 2016

Publication series

Name Electronic Workshops in Computing (eWiC)
PublisherBCS, The Chartered Institute for IT
ISSN (Electronic)1477-9358


Conference30th International BCS Human Computer Interaction Conference
Abbreviated titleHCI 2016
CountryUnited Kingdom


  • social scientists
  • social media data
  • knowledge graph

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