Constructing Social Media Knowledge Graphs with Social Scientists
作者
John Paul Vargheese,Peter Travers,Jeff Z. Pan,Kathryn Vincent,Claire Wallace,Anna Kabedeva
出处
期刊:BCS Learning & Development日期:2016-07-01被引量:2
标识
DOI:10.14236/ewic/hci2016.65
摘要
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.