A comparative study of navigation using single vs. community driven tag clouds on websites

Authors


Abstract

The purpose of this study is to compare two variations of tag clouds, one where the tags are created by a single author and the other where the tags are created by a community of authors. Using mixed methodologies, data was captured and analyzed for efficiency and enjoyment. The results show that tag clouds, where the tags are created by a single author are more efficient and enjoyable for navigation than those created by a community of authors. The findings from this study also provide recommendations for future research in improving tag based navigation on websites.

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