Identifying Archetypal Perspectives in News Articles

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.

Content

Author and article information

Contributors

Chris P. Bowers

Russell Beale

Robert J. Hendley

Conference

Publication date: September 2012

Publication date (Print): September 2012

Pages: 327-332

Affiliations

[0001]The School of Computer Science

University of Birmingham

Birmingham, B15 2TT, UK

Article

DOI: 10.14236/ewic/HCI2012.46

SO-VID: f89e1d59-ad3d-490c-a7c0-42a97794efb8

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: The 26th BCS Conference on Human Computer Interaction

Conference acronym: HCI

Conference number: 26

Conference location: Birmingham, UK

Conference date: 12 - 14 September 2012

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Human Computer Interaction

History

Product

1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2012.46

Self URI (journal page): https://ewic.bcs.org/

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Identifying Archetypal Perspectives in News Articles

Abstract