Analysis of keyword-based tagging behaviors of experts and novices

作者：Tsai Li Chen^*; Hwang Sheue Ling; Tang Kuo Hao

来源：Online Information Review, 2011, 35(2): 272-290.

DOI：10.1108/14684521111128041

• Information management
• Information retrieval
• Indexing
• Internet
• User studies

Purpose - Expert and novice readers tag documents with different descriptions; this study is intended to discover which readers would generate the most reliable and most representative sets of tags.
Design/methodology/approach - One group of experts and one group of novices were recruited. These two groups were asked to provide tags for document bookmarks in a Mozilla Firefox browser. In the experimental analysis we defined two measures similarity and relevance to describe the differences between the two groups.
Findings - Tags chosen by experts yielded better similarity and relevance values in all analyses. Tags chosen by the expert group had higher commonality in pairwise similarity analysis; moreover, the relevance analysis showed that tags chosen by experts reflected better understanding of the content.
Originality/value - Tagging behavior has become highly popular on the web, and its study has commercial merit. Tags from experts represent the structure behind the knowledge involved; expert representation may be vastly more helpful than novice representation for promoting understanding of content in an era characterized by an explosion of information.

• 出版日期2011
• 单位清华大学