Identifying archetypal perspectives in news articles

Christopher Bowers, Russell Beale, Robert Hendley

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)


A novel approach to news aggregation is proposed. Rather than ranking or summarisation of cluster topics, we propose that articles are grouped by topic similarity and then clustered within topic groups in order to identify archetypal articles that represent the various perspectives upon a topic. An example application is examined and a preliminary user study is discussed. Future applications and evaluation of validity are outlined.
Original languageEnglish
Title of host publicationProceeding BCS-HCI '12 Proceedings of the 26th Annual BCS Interaction Specialist Group Conference on People and Computers
PublisherBritish Computer Society
Publication statusPublished - 2012


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