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Understanding the Efficiency of Social Tagging Systems using Information Theory Export

by: Ed Chi, Todd Mytkowicz
In Proceedings of ACM Conference on Hypertext 2008 (2008)

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Given the rise in popularity of social tagging systems, it seems only natural to ask how ecient is the organically evolved tagging vocabulary in describing underlying docu- ment objects? Does this distributed process really provide a way to circumnavigate the traditional ocabulary problem" with ontology? We analyze a social tagging site, namely del.icio.us, with information theory in order to evaluate the eciency of this social tagging site for encoding navigation paths to information sources. We show that information theory provides a natural and interesting way to understand this eciency|or the descriptive, encoding power of tags. Our results indicate the eciency of tags appears to be wan- ing. We discuss the implications of our ndings and provide insight into how our methods can be used to design more usable social tagging software.Understanding the Efficiency of Social Tagging Systems using Information Theory Ed H. Chi Palo Alto Research Center 3333 Coyote Hill Road, Palo Alto, CA echi@parc.com Todd Mytkowicz Dept. of Computer Science University of Colorado, Boulder, CO Todd.Mytkowicz@colorado.edu ABSTRACT Given the rise in popularity of social tagging systems, it seems only natural to ask how ecient is the organically evolved tagging vocabulary in describing underlying docu- ment objects? Does this distributed process really provide a way to circumnavigate the traditional ocabulary problem" with ontology? We analyze a social tagging site, namely del.icio.us, with information theory in order to evaluate the eciency of this social tagging site for encoding navigation paths to information sources. We show that information theory provides a natural and interesting way to understand this eciency|or the descriptive, encoding power of tags. Our results indicate the eciency of tags appears to be wan- ing. We discuss the implications of our ndings and provide insight into how our methods can be used to design more usable social tagging software.Understanding the Efficiency of Social Tagging Systems using Information Theory Ed H. Chi Palo Alto Research Center 3333 Coyote Hill Road, Palo Alto, CA echi@parc.com Todd Mytkowicz Dept. of Computer Science University of Colorado, Boulder, CO Todd.Mytkowicz@colorado.edu ABSTRACT Given the rise in popularity of social tagging systems, it seems only natural to ask how ecient is the organically evolved tagging vocabulary in describing underlying docu- ment objects? Does this distributed process really provide a way to circumnavigate the traditional ocabulary problem" with ontology? We analyze a social tagging site, namely del.icio.us, with information theory in order to evaluate the eciency of this social tagging site for encoding navigation paths to information sources. We show that information theory provides a natural and interesting way to understand this eciency|or the descriptive, encoding power of tags. Our results indicate the eciency of tags appears to be wan- ing. We discuss the implications of our ndings and provide insight into how our methods can be used to design more usable social tagging software.Understanding the Efficiency of Social Tagging Systems using Information Theory Ed H. Chi Palo Alto Research Center 3333 Coyote Hill Road, Palo Alto, CA echi@parc.com Todd Mytkowicz Dept. of Computer Science University of Colorado, Boulder, CO Todd.Mytkowicz@colorado.edu ABSTRACT Given the rise in popularity of social tagging systems, it seems only natural to ask how ecient is the organically evolved tagging vocabulary in describing underlying docu- ment objects? Does this distributed process really provide a way to circumnavigate the traditional ocabulary problem" with ontology? We analyze a social tagging site, namely del.icio.us, with information theory in order to evaluate the eciency of this social tagging site for encoding navigation paths to information sources. We show that information theory provides a natural and interesting way to understand this eciency|or the descriptive, encoding power of tags. Our results indicate the eciency of tags appears to be wan- ing. We discuss the implications of our ndings and provide insight into how our methods can be used to design more usable social tagging software.Understanding the Efficiency of Social Tagging Systems using Information Theory Ed H. Chi Palo Alto Research Center 3333 Coyote Hill Road, Palo Alto, CA echi@parc.com Todd Mytkowicz Dept. of Computer Science University of Colorado, Boulder, CO Todd.Mytkowicz@colorado.edu ABSTRACT Given the rise in popularity of social tagging systems, it seems only natural to ask how ecient is the organically evolved tagging vocabulary in describing underlying docu- ment objects? Does this distributed process really provide a way to circumnavigate the traditional ocabulary problem" with ontology? We analyze a social tagging site, namely del.icio.us, with information theory in order to evaluate the eciency of this social tagging site for encoding navigation paths to information sources. We show that information theory provides a natural and interesting way to understand this eciency|or the descriptive, encoding power of tags. Our results indicate the eciency of tags appears to be wan- ing. We discuss the implications of our ndings and provide insight into how our methods can be used to design more usable social tagging software.Understanding the Efficiency of Social Tagging Systems using Information Theory Ed H. Chi Palo Alto Research Center 3333 Coyote Hill Road, Palo Alto, CA echi@parc.com Todd Mytkowicz Dept. of Computer Science University of Colorado, Boulder, CO Todd.Mytkowicz@colorado.edu ABSTRACT Given the rise in popularity of social tagging systems, it seems only natural to ask how ecient is the organically evolved tagging vocabulary in describing underlying docu- ment objects? Does this distributed process really provide a way to circumnavigate the traditional ocabulary problem" with ontology? We analyze a social tagging site, namely del.icio.us, with information theory in order to evaluate the eciency of this social tagging site for encoding navigation paths to information sources. We show that information theory provides a natural and interesting way to understand this eciency|or the descriptive, encoding power of tags. Our results indicate the eciency of tags appears to be wan- ing. We discuss the implications of our ndings and provide insight into how our methods can be used to design more usable social tagging software.Understanding the Efficiency of Social Tagging Systems using Information Theory Ed H. Chi Palo Alto Research Center 3333 Coyote Hill Road, Palo Alto, CA echi@parc.com Todd Mytkowicz Dept. of Computer Science University of Colorado, Boulder, CO Todd.Mytkowicz@colorado.edu ABSTRACT Given the rise in popularity of social tagging systems, it seems only natural to ask how ecient is the organically evolved tagging vocabulary in describing underlying docu- ment objects? Does this distributed process really provide a way to circumnavigate the traditional ocabulary problem" with ontology? We analyze a social tagging site, namely del.icio.us, with information theory in order to evaluate the eciency of this social tagging site for encoding navigation paths to information sources. We show that information theory provides a natural and interesting way to understand this eciency|or the descriptive, encoding power of tags. Our results indicate the eciency of tags appears to be wan- ing. We discuss the implications of our ndings and provide insight into how our methods can be used to design more usable social tagging software.


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