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Leveraging user-generated content for news search

Published: 19 July 2010 Publication History
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  • Abstract

    Over the last few years both availability and accessibility of current news stories on the Web have dramatically improved. In particular, users can now access news from a variety of sources hosted on the Web, from newswire presences such as the New York Times, to integrated news search within Web search engines. However, of central interest is the emerging impact that user-generated content (UGC) is having on this online news landscape. Indeed, the emergence of Web 2.0 has turned a static news consumer base into a dynamic news machine, where news stories are summarised and commented upon. In summary, value is being added to each news story in terms of additional content.
    Importantly, however, while there has been movement in commercial circles to exploit this extra value to enrich online news, there has been little research from the academic community on how can be achieved. Indeed, the main purpose of this thesis is to research practical techniques for the integration of UGC to improve the news search component of the most ubiquitous of Web tools, i.e the Web search engine.

    References

    [1]
    James Allan. Topic detection and tracking. Springer, 2002.
    [2]
    D. Matheson. Weblogs and the epistemology of the news: some trends in online journalism. New Media and Society, 6(4):443--468, 2004.
    [3]
    Newspaper Association of America (NAA). Newspaper Web sites attract more than 70 million visitors in June; over one-third of all Internet users visit newspaper Web sites, 2010. http://www.naa.org/PressCenter/SearchPressReleases/2009/NEWSPAPER-WEB-SITES-ATTRACT-MORE-THAN-70-MILLION-VISITORS.aspx, accessed on 25/01/2010.
    [4]
    J. Pedersen. Keynote speech. In the Third Annual Workshop on Search in Social Media, 2010.
    [5]
    Amit Singhal. Relevance meets the real-time Web, 2010. http://googleblog.blogspot.com/2009/12/relevance-meets-real-time-web.html, accessed on 25/01/2010.

    Cited By

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    • (2011)Improving Domain Searches through Customized Search EnginesIntelligent, Adaptive and Reasoning Technologies10.4018/978-1-60960-595-7.ch001(1-22)Online publication date: 2011

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      cover image ACM Conferences
      SIGIR '10: Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
      July 2010
      944 pages
      ISBN:9781450301534
      DOI:10.1145/1835449
      Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      New York, NY, United States

      Publication History

      Published: 19 July 2010

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      Author Tags

      1. blogs
      2. news
      3. social media

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      • (2011)Improving Domain Searches through Customized Search EnginesIntelligent, Adaptive and Reasoning Technologies10.4018/978-1-60960-595-7.ch001(1-22)Online publication date: 2011

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