Using Frequency-of-Mention in Public Conversations for Social Filtering

We report on an investigation of using Usenet newsgroups for social filtering of Web resources. Our main empirical results are: (1) for the period of May '96 to Jul '96, about 23% of Usenet news messages mention Web resources, (2) 19% of resource mentions are recommendations (as opposed, e.g., to home pages), (3) we can'automatically recognize recommendations with at least 90% accuracy, and (4) in some newsgroups, certain resources are mentioned significantly more frequently than others and thus appear to play a central role for that community. We have created a Web site that summarizes the most frequently and recently mentioned Web resources for 1400 newsgroups.

• Type: Conference
• Year: 1996
• Where: CSCW
• Authors: William C. Hill, Loren G. Terveen
• Keywords: CSCW 1996, Mention Web Resources, Resources, Social Sciences, Web Resources