A categorisation framework for a feature-level analysis of social network sites

作者: Sheila O’Riordan , Joseph Feller , Tadhg Nagle

DOI: 10.1080/12460125.2016.1187548

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摘要: AbstractSocial media (SM) have enabled new forms of communication, interaction, and connectivity that affect individuals on a personal professional level. But SM is broad term encompasses wide range technologies with both distinct shared capabilities. In addition, while there an agreed-upon definition these systems, comprehensive list features their affordances does not exist. Hence, this study sought to create feature-level categorisation framework for analysing the use social network sites (SNS). This was undertaken using concept affordances, which framed high-level characteristics as well SNS features, better understand divergence in capabilities inform different types SM. The created from analysis literature system investigation into three (Facebook, YouTube Twitter). review two families ...

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