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Overlap Between Google and Bing Web Search Results!: Twitter to the Rescue?

Published:02 November 2015Publication History

ABSTRACT

Access to diverse perspectives nurtures an informed citizenry. Google and Bing have emerged as the duopoly that largely arbitrates which English language documents are seen by web searchers. We present our empirical study over the search results produced by Google and Bing that shows a large overlap. Thus, citizens may not gain different perspectives by simultaneously probing them for the same query. Fortunately, our study also shows that by mining Twitter data one can obtain search results that are quite distinct from those produced by Google and Bing. Additionally, the users found those results to be quite informative.

References

  1. R. Agrawal, B. Golshan, and E. Papalexakis. A study of distinctiveness in web results of two search engines. In 24th international conference on World Wide Web, Web Science Track. ACM, May 2015. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. R. Agrawal, B. Golshan, and E. Papalexakis. Whither social networks for web search? In 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Sydney, Australia, August 2015. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Overlap Between Google and Bing Web Search Results!: Twitter to the Rescue?

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      • Published in

        cover image ACM Conferences
        COSN '15: Proceedings of the 2015 ACM on Conference on Online Social Networks
        November 2015
        280 pages
        ISBN:9781450339513
        DOI:10.1145/2817946

        Copyright © 2015 Owner/Author

        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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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 2 November 2015

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        COSN '15 Paper Acceptance Rate22of82submissions,27%Overall Acceptance Rate69of307submissions,22%
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