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Exploring Long Running News Stories using Wikipedia

Published: 28 June 2015 Publication History

Abstract

A significant portion of today's news articles are part of long running stories. To better understand the context of these stories journalists, social scientists and other scholars use news collections to find temporal and topical insights. However these insights are devoid of user impressions, derived from click-through data and query logs, and are only reliable if the collection is complete and consistent. In this work we introduce the notion of combining user impressions from Wikipedia with news collection based insights for long running news story exploration and outline promising new research directions. We also demonstrate our initial attempts with a prototype system called NewsEX.

References

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O. Alonso, M. Gertz, and R. Baeza-Yates. Clustering and exploring search results using timeline constructions. In Proc. of the 18th ACM CIKM, 2009.
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R. Jones and F. Diaz. Temporal profiles of queries. ACM Transactions on Information Systems, 2007.
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A. Lih. Wikipedia as participatory journalism: Reliable sources? metrics for evaluating collaborative media as a news resource. Nature, 2004.
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M. Matthews, P. Tolchinsky, R. Blanco, J. Atserias, P. Mika, and H. Zaragoza. Searching through time in the new york times. In Proc. of the 4th Workshop on HCIIR. Citeseer, 2010.
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V. Setty, S. Bedathur, K. Berberich, and G. Weikum. Inzeit: efficiently identifying insightful time points. Proc. of the VLDB Endowment, 2010.

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Published In

cover image ACM Conferences
WebSci '15: Proceedings of the ACM Web Science Conference
June 2015
366 pages
ISBN:9781450336727
DOI:10.1145/2786451
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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 June 2015

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Author Tags

  1. Exploration
  2. News
  3. Wikipedia

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  • Research-article
  • Research
  • Refereed limited

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WebSci '15
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WebSci '15: ACM Web Science Conference
June 28 - July 1, 2015
Oxford, United Kingdom

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Overall Acceptance Rate 245 of 933 submissions, 26%

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