The news context project

Larry Birnbaum, Miriam Boon, Scott Bradley, Jennifer Wilson

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

Abstract

We describe intelligent information technologies designed to automatically provide both journalists and ordinary newsreaders with a broad range of the contextual information they need in order to better understand news stories, presented in an immediate and compelling fashion. These systems automatically identify, select, and present appropriate contextual information based on the story a user is currently viewing. Our experiences in building a number of specific systems of this kind have led to the creation of a general architecture and platform for developing such applications. These systems interact with news consumers directly through mechanisms such as browser extensions.

Original languageEnglish (US)
Title of host publicationIUI 2015 Companion - Companion of the 20th ACM International Conference on Intelligent User Interfaces
PublisherAssociation for Computing Machinery
Pages5-8
Number of pages4
ISBN (Electronic)9781450333085
DOIs
StatePublished - Mar 29 2015
Event20th ACM International Conference on Intelligent User Interfaces, ACM IUI 2015 - Atlanta, United States
Duration: Mar 29 2015Apr 1 2015

Publication series

NameInternational Conference on Intelligent User Interfaces, Proceedings IUI
Volume29-March-2015

Other

Other20th ACM International Conference on Intelligent User Interfaces, ACM IUI 2015
Country/TerritoryUnited States
CityAtlanta
Period3/29/154/1/15

Keywords

  • Computational journalism
  • Contextual search
  • Intelligent information systems

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction

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