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An increasing number of Web applications are allowing users to play more active roles for enriching the source content. The enriched data can be used for various applications such as text summarization, opinion mining and ontology creation. In this paper, we propose a novel Web content summarization method that creates a text summary by exploiting user feedback (comments and tags) in a social bookmarking service. We had manually analyzed user feedback in several representative social servicesdoi:10.1145/1458502.1458519 dblp:conf/widm/ParkFOTL08 fatcat:4irq4j3d25akpeevv5ucjo47mm