Making sense of self-reported socially significant data using computational methods

被引:10
作者
Burnap, Peter [1 ]
Avis, Nick J. [1 ]
Rana, Omer F. [1 ]
机构
[1] Cardiff Univ, Cardiff Sch Comp Sci & Informat, Cardiff CF10 3AX, S Glam, Wales
关键词
COSMOS; social media data; computational methods; empirical crisis; CRISIS; GENDER;
D O I
10.1080/13645579.2013.774174
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
The growing number of people using social media to communicate with their peers and document their personal everyday feelings and views is creating a data on an epic scale' that provides the opportunity for social scientists to conduct research such as ethnography, discourse and content analysis of social interactions, providing an additional insight into today's society. However, the tools and methods required to conduct such analysis are often isolated and/or proprietary. The Cardiff Online Social Media Observatory (COSMOS) provides an integrated virtual research environment for supporting the collection, analysis, and visualization of social media data, providing researchers with an innovative facility on which to conduct hypothetical experiments that lead to defensible results. This study presents a methodology for Digital Social Research and explains how the features of COSMOS aim to underpin it.
引用
收藏
页码:215 / 230
页数:16
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