Using behaviour analysis to detect cultural aspects in social web systems

  • Authors:
  • Matthew Rowe

  • Affiliations:
  • The Open University, Milton Keynes, United Kingdom

  • Venue:
  • Proceedings of the 2011 international workshop on DETecting and Exploiting Cultural diversiTy on the social web
  • Year:
  • 2011

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Abstract

The evolution of the World Wide Web into a social form has provided end users with a plethora of information sources driven by community interactions and the emerging need to share information with one's peers. To date, the dynamics of social web systems, such as Twitter and Yahoo! Answers, and their differences has largely been assessed through commentary and theoretical discussion. In this talk I will provide concrete evidence of cultural differences between such systems. I will first describe the thesis of micro-cultures where distinct forms of social systems - i.e. question-answering systems, microblogging platforms and community discussion forums - exhibit idiosyncratic traits, before moving on to provide empirical evidence of the distinction between social web systems and their dynamics. For this latter part several differing types of social web systems are analysed to identify: a) the disparate nature of user behaviour; b) the differences in how attention to content is maximised on such systems, and c) incongruous community role compositions. Through such exploration key micro-cultures are detected that can be used to characterise distinct social web systems.