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SERPWatcher: A SERP Mining Tool as a Novel Social Survey Method in Sociology

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Database Systems for Advanced Applications (DASFAA 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5982))

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Abstract

Web search engines accept keywords and return a search engine results page (SERP). Since the SERP itself and the ranking order change with time reflecting the changes in society, it might be possible to accurately follow the movement of society by mining SERPs. This demonstration shows a SERP mining tool named SERPWatcher, which could be a novel social survey method in the field of sociology in that it totally differs from the traditional methods such as questionnaires and interviews.

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References

  1. Masunaga, Y., Oyama, N., Watanabe, C., Ito, K., Tachi, K., Miyama, Y.: Design and Implementation of SERPWatcher (2009) (to be submitted elsewhere)

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  3. Oyama, N., Masunaga, Y.: On the Trustworthiness and Transparency of a Web Search Site examined using “Gender-equal” as a Search Keyword. In: Zhang, Y., Yu, G., Bertino, E., Xu, G. (eds.) APWeb 2008. LNCS, vol. 4976, pp. 625–630. Springer, Heidelberg (2008)

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© 2010 Springer-Verlag Berlin Heidelberg

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Masunaga, Y., Oyama, N., Watanabe, C., Ito, K., Tachi, K., Miyama, Y. (2010). SERPWatcher: A SERP Mining Tool as a Novel Social Survey Method in Sociology. In: Kitagawa, H., Ishikawa, Y., Li, Q., Watanabe, C. (eds) Database Systems for Advanced Applications. DASFAA 2010. Lecture Notes in Computer Science, vol 5982. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12098-5_38

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  • DOI: https://doi.org/10.1007/978-3-642-12098-5_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12097-8

  • Online ISBN: 978-3-642-12098-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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