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April 4, 2007

What is Social Tagging

Social tagging describes the collaborative activity of marking shared online content with keywords or tags as a way to organize content for future navigation, filtering, or search (Gibson, Teasley, & Yew, 2006). Traditional information architecture utilized a central taxonomy or classification scheme in order to place information into specific pre-defined buckets or categories. The assumption was that trained librarians understood more about information content and context than the average user. While this might have been true for the local library with the utilization of the Dewey Decimal system, the enormous amount of content on the Internet makes this type of system un-manageable. Tagging offers a number of benefits to the end user community. Perhaps the most important feature to the individual is the ability to bookmark the information in a way that is easier for them to recall at a later date. The benefit of this ability on a personal basis is obvious but what about the impact to the community at large. The idea of social tagging is allowing multiple users to tag content in a way that makes sense to them, by combining these tags, users create an environment where the opinions of the majority define the appropriateness of the tags themselves. The act of creating a collection of popular tags is referred to as a folksonomy which is defined as a folk taxonomy of important and emerging content within the user community (Ahn, Davis, Fake, Fox, Furnas, Golder, Marlow, Naaman, & Schachter, 2006). The vocabulary problem is defined by the fact that different users define content in different ways. The disagreement can lead to missed information or inefficient user interactions (Boyd, Davis, Marlow, & Naaman, 2006). One of the best examples of social tagging is Flickr which allows users to upload images and “tag” them with appropriate metadata keywords. Other users, who view your images, can also tag them with their concept of appropriate keywords. After a critical mass has been reached, the resulting tag collection will identify images correctly and without bias.

Posted by Todd at April 4, 2007 12:02 PM

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