HT06, tagging paper, taxonomy, Flickr, academic article, to read
Proceedings of the seventeenth conference on Hypertext and hypermedia
The complex dynamics of collaborative tagging
Proceedings of the 16th international conference on World Wide Web
An epistemic dynamic model for tagging systems
Proceedings of the nineteenth ACM conference on Hypertext and hypermedia
The microstructures of social tagging: a rational model
Proceedings of the 2008 ACM conference on Computer supported cooperative work
A Semantic Imitation Model of Social Tag Choices
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04
Semantic imitation in social tagging
ACM Transactions on Computer-Human Interaction (TOCHI)
Implicit imitation in social tagging: familiarity and semantic reconstruction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Motivation -- We analyzed the importance of social tags during an information search in a social software system. In particular, we examined the effects of tags on users' implicit/automatic and explicit/controlled memory processes. Research approach -- An experiment was conducted in which 48 students took part. By means of process dissociation and a multinomial model we tested our dual-process model (implicit vs. explicit) of social tagging. Findings/Design -- We conclude that implicit and explicit processes can be dissociated and that tags are important cues during an information search: they leave robust explicit memory representations. Research limitations/Implications -- A laboratory setting was chosen to care for conclusive findings. Our methods may have to be applied in the natural field to increase external validity. Originality/Value -- This study directly measures cognitive processes of social tagging and uses an empirical as well as experimental approach to the research questions. Take away message -- Generative Models of social tagging would benefit from incorporating a dual-process account, where formalizations of signal-detection-theory and markov-models would enable the integration of automatic and controlled processes, respectively.