Finding the local angle in national news

Shawn O'Banion*, Lawrence A Birnbaum, Scott Bradley

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Journalists often localize news stories that are not explicitly about the community they serve by investigating and describing how those stories affect that community. This is, in essence, a form of personalization based not on a reader's personal interests, but rather on their ties to a geographic location. In this paper we present The Local Angle, an approach for automating the process of finding national and international news stories that are locally relevant. The Local Angle associates the people, companies, and organizations mentioned in news stories with geographic locations using semantic analysis tools and online knowledge bases. We describe the design and implementation of our prototype system that helps content curators and consumers discover articles that are of local interest even if they do not originate locally.

Original languageEnglish (US)
Title of host publicationIUI 2013 Companion - Proceedings of the 18th International Conference on Inteligent User Interfaces
Number of pages2
StatePublished - Mar 19 2013
Event18th International Conference on Intelligent User Interfaces, IUI 2013 - Santa Monica, CA, United States
Duration: Mar 19 2013Mar 22 2013

Publication series

NameInternational Conference on Intelligent User Interfaces, Proceedings IUI


Other18th International Conference on Intelligent User Interfaces, IUI 2013
Country/TerritoryUnited States
CitySanta Monica, CA


  • Local news
  • Personalization
  • Recommendation system

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction


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