What do they think? aggregating local views about news events and topics

Jiahui Liu*, Lawrence A Birnbaum

*Corresponding author for this work

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

11 Scopus citations

Abstract

The web has become an important medium for news delivery and consumption. Fresh content about a variety of topics and events is constantly being created and published on the web by many sources. As intuitively understood by readers, and studied in journalism, news articles produced by different social groups present different attitudes towards and interpretations of the same news issues. In this paper, we propose a new paradigm for aggregating news articles according to the news sources related to the stakeholders of the news issues. We implement this paradigm in a prototype system called Local Savvy. The system provides users the capability to aggregate and browse various local views about the news issues in which they are interested.

Original languageEnglish (US)
Title of host publicationProceeding of the 17th International Conference on World Wide Web 2008, WWW'08
Pages1021-1022
Number of pages2
DOIs
StatePublished - 2008
Event17th International Conference on World Wide Web 2008, WWW'08 - Beijing, China
Duration: Apr 21 2008Apr 25 2008

Publication series

NameProceeding of the 17th International Conference on World Wide Web 2008, WWW'08

Other

Other17th International Conference on World Wide Web 2008, WWW'08
Country/TerritoryChina
CityBeijing
Period4/21/084/25/08

Keywords

  • Local opinion
  • News aggregation

ASJC Scopus subject areas

  • Computer Networks and Communications

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