Towards Understanding the Motivation Behind Tagging
This event took place on Wednesday 30 March 2011 at 11:30
Christian Körner Graz University of Technology
While recent research has advanced our understanding about the structure and dynamics of social tagging systems, we know little about (i) the underlying motivations for tagging (why users tag), and (ii) how they influence the properties of resulting tags and folksonomies. My work tries to analyze the aims users have when they use such systems. To this purpose I introduce two vastly different types of tagging motivation and corresponding measures and detection measures. Subsequently I give an overview of implications on the structure of social tagging systems. Finally I sketch other types of tagging motivation and illustrate potential methods to differentiate them.
This event took place on Wednesday 30 March 2011 at 11:30
While recent research has advanced our understanding about the structure and dynamics of social tagging systems, we know little about (i) the underlying motivations for tagging (why users tag), and (ii) how they influence the properties of resulting tags and folksonomies. My work tries to analyze the aims users have when they use such systems. To this purpose I introduce two vastly different types of tagging motivation and corresponding measures and detection measures. Subsequently I give an overview of implications on the structure of social tagging systems. Finally I sketch other types of tagging motivation and illustrate potential methods to differentiate them.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
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Interacting with other people not only forms the core of human social and psychological experience, but also lies at the centre of what makes the internet such a rich, powerful and exciting collection of knowledge media. We are especially interested in what happens when such interactions take place on a very large scale -- not only because we work regularly with tens of thousands of distance learners at the Open University, but also because it is evident that being part of a crowd in real life possesses a certain 'buzz' of its own, and poses a natural challenge. Different nuances emerge in different user contexts, so we choose to investigate the contexts of work, learning and play to better understand the trade-offs involved in designing effective large-scale social software for multiple purposes.
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