A categorisation framework for a feature-level analysis of social network sites. Issue 3 (2nd July 2016)

• Record Type: Journal Article
• Authors: O'Riordan, Sheila; Feller, Joseph; Nagle, Tadhg
• Is Part Of: Journal of decision systems. Volume 25:Issue 3(2016)
• Page Start: 244
• Page End: 262
• Publication Date: 2016-07-02
• Subjects: Social media -- social network sites -- affordances -- categorisation framework -- system features; Decision support systems -- Periodicals; Management information systems -- Periodicals; Information resources management -- Periodicals; Information storage and retrieval systems -- Periodicals; Management -- Communication systems -- Periodicals; Decision support systems; Information resources management; Information storage and retrieval systems; Management -- Communication systems; Management information systems; Periodicals; 658.40305
• DOI: 10.1080/12460125.2016.1187548
• Languages: English
• ISSNs: 1246-0125

Abstract

Abstract: Social media (SM) have enabled new forms of communication, interaction, and connectivity that affect individuals on a personal and professional level. But SM is a broad term that encompasses a wide range of technologies with both distinct and shared capabilities. In addition, while there is an agreed-upon definition of these systems, a comprehensive list of features and their affordances does not exist. Hence, this study sought to create a feature-level categorisation framework for analysing the use of social network sites (SNS). This categorisation was undertaken using the concept of affordances, which framed the high-level characteristics as well as distinct SNS features, to better understand the divergence in SNS capabilities and inform the study of different types of SM. The framework was created from an analysis of the literature on SNS affordances and a system investigation into three types of SNS (Facebook, YouTube and Twitter). The comprehensive review was undertaken using two families of SNS affordances (social and content affordances) identified in the literature to categorise and compare the platforms. The study reveals a diverse collection of features which afford behaviour in six areas of activity: profile building, social connectivity, social interactivity, content discovery, content sharing and content aggregation. Finally, the framework provides a basis from which the usage and management of SM within organisations can be more rigorously investigated.