Open AccessA comparative study of navigation using single vs. community driven tag clouds on websites
Author(s) -
Nizam Naureen,
Watters Carolyn,
Gruzd Anatoliy
Publication year - 2012
Publication title -
proceedings of the american society for information science and technology
Language(s) - English
Resource type - Journals
eISSN - 1550-8390
pISSN - 0044-7870
DOI - 10.1002/meet.14504901270
Subject(s) - tag cloud , computer science , world wide web , information retrieval , data science , data mining , visualization
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.