research-article

LocalSavvy: aggregating local points of view about news issues

Authors:

Larry BirnbaumAuthors Info & Claims

LOCWEB '08: Proceedings of the first international workshop on Location and the web

Pages 33 - 40

https://doi.org/10.1145/1367798.1367804

Published: 22 April 2008 Publication History

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.

References

[1]

Boas, H. C. "From Theory to Practice: Frame Semantics and the Design of FrameNet". In Semantisches Wissen im Lexikon. Tübingen: Narr. 2005

[2]

Brill, E. "A simple rule-based part of speech tagger". In Proce. of the 3rd conference on Applied natural language processing. 1992

Digital Library

[3]

Brill, E., Dumais, S., Banko, M. "An analysis of the AskMSR question-answering system", In Proc. of EMNLP. 2002

Digital Library

[4]

Budzik, J., Hammond K., and Birnbaum, L. "Information access in context". Knowledge based systems 14 (1--2). 2001

Digital Library

[5]

Chen, Y., Di Fabbrizio, G., Gibbon, D., Jana, R., Jora, S., Renger, B., and Wei, B. "GeoTracker: Geospatial and temporal RSS navigation", in Proc. of the 16th WWW. 2007.

Digital Library

[6]

Choi, Y., Cardie, C., Riloff, E., and Patwardhan, S. "Identifying Sources of Opinions with Conditional Random Fields and Extraction Patterns". In Proc. of HLT/EMNLP-05. 2005.

Digital Library

[7]

Christel, M. G., Olligschlaeger, A. M., and Huang, C., "Interactive Maps for a Digital Video Library", IEEE Multimedia. 2000

Digital Library

[8]

ClearForest Semantic Web Services (SWS) http://sws.clearforest.com/. 2007

[9]

Fillmore, C. J. "Frame semantics and the nature of language". In Annals of the New York Academy of Sciences: Conference on the Origin and Development of Language and Speech, Volume 280: 20--32. 1976

[10]

Finkelstein, L., Gabriolovic, E., Matias, Y., Rivilin, E., Solan, Z., Wolfman, G., and Ruppin, E. "Placing search in context: The concept revisited". In Proc. of WWW. 2001

Digital Library

[11]

Google News. http://news.google.com/. 2007

[12]

Kim, S-M. and Hovy, E. "Identifying Opinion Holders for Question Answering in Opinion Texts". In Proc. of AAAI Workshop on Question Answering in Restricted Domains. 2005

[13]

Kim, S-M. and Hovy, E. "Extracting opinions, opinion holders, and topics expressed in online news media text". In Proc. of ACL/COLING Workshop on Sentiment and Subjectivity in Text. 2006.

Digital Library

[14]

Ku, L-W., Liang, Y-T., and Chen, H-H. "Opinion extraction, summarization and tracking in news and blog corpora". In Proc. of AAAI Spring Symposium on Computational Approaches to Analyzing Weblogs. 2006

[15]

Kumaran, G. and Allan, J. "Text classification and named entities for new event detection". In Proc. of SIGIR. 2004

Digital Library

[16]

Kwok, C. C. T., Etzioni, O., and Weld, D. S. "Scaling question answering to the Web". In Proc. of WWW. 2001

Digital Library

[17]

Lin C-Y and Hovy E. "Identify Topics by Position". In Proc. of the 5th Conference on Applied Natural Language Processing. 1997

Digital Library

[18]

Liu, J., Wagner, E., and Birnbaum L. "Compare&contrast: using the web to discover comparable cases for news stories". In Proc. of 16th WWW. 2007

Digital Library

[19]

Lu, L. and Li, Z. "Automated rich presentation of a semantic topic". In Proc. of MULTIMEDIA. 2005

Digital Library

[20]

Ma, L., Goharian, N. and Chowdhury, A. "Automatic Data Extraction From Template Generated Web Pages". In Proc. of PDPTA 03. 2003

[21]

Ma, Q. and Tanaka, K. "Topic-structure-based complementary information retrieval for information augmentation", In Proc. of APWeb. 2004.

[22]

Perry, D. K. "News reading, knowledge about, and attitudes toward foreign countries". Journalism Quarterly, 67(2). 1990

[23]

Rhodes B. J. and Maes, P. "Just-in-time information retrieval agents". IBM System Journal 39(4): 685--704. 2000

Digital Library

[24]

Riloff, E. and Wiebe, J. "Learning extraction patterns for subjective expressions". In Proc. of EMNLP. 2003.

Digital Library

[25]

SmugMug Inc., "SmugMaps: combining the power of Google Maps with 65,000000+ SmugMug photos". http://maps.smugmug.com/. 2006

[26]

van Dijk, T. A. "News as discourse". Hillsdale, NJ: Lawrence Erlbaum. 1988

[27]

van Rijsbergen, C. J., Robertson, S. E. and Porter, M. F. "New models in probabilistic information retrieval". British Library Research and Development Report, no. 5587. 1980

[28]

Wikipedia. http://www.wikipedia.org/. 2007

[29]

Wiebe, J., Wilson, T., and Bell, M. "Identifying Collocations for Recognizing Opinions". In Proc. of ACL/EACL Workshop on Collocation. 2001

[30]

Yang, Y., Zhang, J., Carbonell, J., and Jin, C. "Topic-conditioned novelty detection". In Proc. of SIGKDD. 2002

Digital Library

Cited By

KIRITOSHI KMA Q(2016)Named Entity Oriented Difference Analysis of News Articles and Its ApplicationIEICE Transactions on Information and Systems10.1587/transinf.2015DAP0003E99.D:4(906-917)Online publication date: 2016
https://doi.org/10.1587/transinf.2015DAP0003
Thuraisingham BAbrol SHeatherly RKantarcioglu MKhadilkar VKhan L(2016)Developments and Challenges in Location MiningAnalyzing and Securing Social Networks10.1201/b19566-13(99-112)Online publication date: 31-Mar-2016
https://doi.org/10.1201/b19566-13
Hullman JDiakopoulos NAdar EMackay WBrewster SBødker S(2013)ContextifierProceedings of the SIGCHI Conference on Human Factors in Computing Systems10.1145/2470654.2481374(2707-2716)Online publication date: 27-Apr-2013
https://dl.acm.org/doi/10.1145/2470654.2481374
Show More Cited By

Index Terms

LocalSavvy: aggregating local points of view about news issues
1. Information systems
  1. Information retrieval
    1. Information retrieval query processing
  2. Information systems applications

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Published In

cover image ACM Other conferences

LOCWEB '08: Proceedings of the first international workshop on Location and the web

April 2008

192 pages

ISBN:9781605581606

DOI:10.1145/1367798

Conference Chairs:
Susanne Boll
University of Oldenburg
,
Christopher Jones
Cardiff University
,
Eric Kansa
UC Berkeley
,
Puneet Kishor
University of Wisconsin-Madison
,
Mor Naaman
Yahoo!, Inc.
,
Ross Purves
University of Zurich
,
Arno Scharl
MODUL University Vienna
,
Erik Wilde
UC Berkeley

Copyright © 2008 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 April 2008

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WWW '08

WWW '08: The 17th International World Wide Web Conference

April 22, 2008

Beijing, China

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Overall Acceptance Rate 4 of 5 submissions, 80%

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Cited By

KIRITOSHI KMA Q(2016)Named Entity Oriented Difference Analysis of News Articles and Its ApplicationIEICE Transactions on Information and Systems10.1587/transinf.2015DAP0003E99.D:4(906-917)Online publication date: 2016
https://doi.org/10.1587/transinf.2015DAP0003
Thuraisingham BAbrol SHeatherly RKantarcioglu MKhadilkar VKhan L(2016)Developments and Challenges in Location MiningAnalyzing and Securing Social Networks10.1201/b19566-13(99-112)Online publication date: 31-Mar-2016
https://doi.org/10.1201/b19566-13
Hullman JDiakopoulos NAdar EMackay WBrewster SBødker S(2013)ContextifierProceedings of the SIGCHI Conference on Human Factors in Computing Systems10.1145/2470654.2481374(2707-2716)Online publication date: 27-Apr-2013
https://dl.acm.org/doi/10.1145/2470654.2481374
OGAWA TMA QYOSHIKAWA M(2011)News Bias Analysis Based on Stakeholder MiningIEICE Transactions on Information and Systems10.1587/transinf.E94.D.578E94-D:3(578-586)Online publication date: 2011
https://doi.org/10.1587/transinf.E94.D.578
Xu LMa QYoshikawa M(2010)A cross-media method of stakeholder extraction for news contents analysisProceedings of the 11th international conference on Web-age information management10.5555/1884017.1884047(232-237)Online publication date: 15-Jul-2010
https://dl.acm.org/doi/10.5555/1884017.1884047
Abrol SKhan LPurves RClough PJones C(2010)TWinnerProceedings of the 6th Workshop on Geographic Information Retrieval10.1145/1722080.1722093(1-8)Online publication date: 18-Feb-2010
https://dl.acm.org/doi/10.1145/1722080.1722093
Xu LMa QYoshikawa M(2010)Exploring Special Items in Multimedia News Based on a Stakeholder ModelProceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 0110.1109/WI-IAT.2010.163(452-455)Online publication date: 31-Aug-2010
https://dl.acm.org/doi/10.1109/WI-IAT.2010.163
Ogawa TMa QYoshikawa M(2010)Stakeholder Mining and Its Application to News ComparisonProceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 0110.1109/WI-IAT.2010.156(440-443)Online publication date: 31-Aug-2010
https://dl.acm.org/doi/10.1109/WI-IAT.2010.156
Abrol SKhan L(2010)TweethoodProceedings of the 2010 IEEE Second International Conference on Social Computing10.1109/SocialCom.2010.30(153-160)Online publication date: 20-Aug-2010
https://dl.acm.org/doi/10.1109/SocialCom.2010.30
Xu LMa QYoshikawa M(2010)A Cross-Media Method of Stakeholder Extraction for News Contents AnalysisWeb-Age Information Management10.1007/978-3-642-14246-8_24(232-237)Online publication date: 2010
https://doi.org/10.1007/978-3-642-14246-8_24
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