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Search as research practices on the web: the SaR-Web platform for cross-language engine results analysis

Published: 22 May 2016 Publication History

Abstract

Search engines are the most utilized tools to access information on the Web. The success of large companies such as Google owes to their capacity to conduct users through the vast troves of knowledge and information online. Recently, the concept of search as research has been used to shift the research focus from workings of information-seeking tools towards methods for the social study of Web and particularly the social meanings of engine results. In this paper, we present SaR-Web, a web search tool that provides an automatic means to carry out search as research on the Web. It compares the results of same (translated) queries across search engine language domains, thereby enabling cross-linguistic and cross-cultural comparisons of results. SaR-Web outputs enable the comparative study of cultural mores as well as societal associations and concerns, interpreted through search engine results.

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Cited By

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  • (2021)Exploring Learning Analytics on YouTube: a tool to support students’ interactions analysisProceedings of the 22nd International Conference on Computer Systems and Technologies10.1145/3472410.3472442(207-211)Online publication date: 18-Jun-2021
  • (2019)ULearn: Personalized Medical Learning on the Web for Patient EmpowermentAdvances in Web-Based Learning – ICWL 201910.1007/978-3-030-35758-0_20(217-228)Online publication date: 23-Sep-2019
  • (2017)SaR-WEB: A Semantic Web Tool to Support Search as Learning Practices and Cross-Language Results on the Web2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT)10.1109/ICALT.2017.51(522-524)Online publication date: Jul-2017

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    cover image ACM Conferences
    WebSci '16: Proceedings of the 8th ACM Conference on Web Science
    May 2016
    392 pages
    ISBN:9781450342087
    DOI:10.1145/2908131
    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: 22 May 2016

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    Author Tags

    1. cross-language analysis
    2. digital methods
    3. search as research

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    WebSci '16
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    WebSci '16: ACM Web Science Conference
    May 22 - 25, 2016
    Hannover, Germany

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    WebSci '16 Paper Acceptance Rate 13 of 70 submissions, 19%;
    Overall Acceptance Rate 245 of 933 submissions, 26%

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    View all
    • (2021)Exploring Learning Analytics on YouTube: a tool to support students’ interactions analysisProceedings of the 22nd International Conference on Computer Systems and Technologies10.1145/3472410.3472442(207-211)Online publication date: 18-Jun-2021
    • (2019)ULearn: Personalized Medical Learning on the Web for Patient EmpowermentAdvances in Web-Based Learning – ICWL 201910.1007/978-3-030-35758-0_20(217-228)Online publication date: 23-Sep-2019
    • (2017)SaR-WEB: A Semantic Web Tool to Support Search as Learning Practices and Cross-Language Results on the Web2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT)10.1109/ICALT.2017.51(522-524)Online publication date: Jul-2017

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