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  1. Proceedings of the first international workshop on Location and the web (LOCWEB '08)
  2. LocalSavvy: aggregating local points of view about news issues
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Location and the Web: (LocWeb 2008)
The locative web
A differential notion of place for local search
Determining geographic representations for arbitrary concepts at query time
Urban web crawling
LocalSavvy: aggregating local points of view about news issues
Discovering geographical-specific interests from web click data
Analysis of geographic queries in a search engine log
Core geographical concepts: case Finnish geo-ontology
Acquisition of a vernacular gazetteer from web sources
Annotating and visualizing location data in geospatial web applications
Computable social patterns from sparse sensor data
Modeling and visualizing geo-sensitive queries based on user clicks
Discovering co-located queries in geographic search logs
Geographic web usage estimation by monitoring DNS caches

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LocalSavvy: aggregating local points of view about news issues

Content Provider ACM Digital Library
Author Birnbaum, Larry Liu, Jiahui
Abstract The web has become an important medium for news delivery and consumption. Fresh content about a variety of topics, events, and places is constantly being created and published on the web by news agencies around the world. 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 local news sources associated with the stakeholders of the news issues. This new paradigm provides users the capability to aggregate and browse various local points of view about the news issues in which they are interested. We implement this paradigm in a system called LocalSavvy. LocalSavvy analyzes the news articles provided by users, using knowledge about locations automatically acquired from the web. Based on the analysis of the news issue, the system finds and aggregates local news articles published by official and unofficial news sources associated with the stakeholders. Moreover, opinions from those local social groups are extracted from the retrieved results, presented in the summaries and highlighted in the news web pages. We evaluate LocalSavvy with a user study. The quantitative and qualitative analysis shows that news articles aggregated by LocalSavvy present relevant and distinct local opinions, which can be clearly perceived by the subjects.
Starting Page 33
Ending Page 40
Page Count 8
File Format PDF
ISBN 9781605581606
DOI 10.1145/1367798.1367804
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2008-04-22
Publisher Place New York
Access Restriction Subscribed
Subject Keyword News aggregation Local points of view News source
Content Type Text
Resource Type Article
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