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 crosslinguistic
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.
%0 Conference Paper
%1 taibisearch
%A Taibi, Davide
%A Rogers, Richard
%A Marenzi, Ivana
%A Nejdl, Wolfgang
%A Ijaz, Asim
%A Fulantelli, Giovanni
%B Proceedings of the WebScience 2016 conference
%C New York, NY, USA
%D 2016
%I ACM
%K SarWeb myown sysrelevantforl3s
%P 367-369
%T Search as research practices on the web: The SaR-Web platform for cross-language engine results analysis
%X 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 crosslinguistic
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.
@inproceedings{taibisearch,
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 crosslinguistic
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.},
added-at = {2016-07-31T14:07:25.000+0200},
address = {New York, NY, USA },
author = {Taibi, Davide and Rogers, Richard and Marenzi, Ivana and Nejdl, Wolfgang and Ijaz, Asim and Fulantelli, Giovanni},
biburl = {https://www.bibsonomy.org/bibtex/271653a61455fb10a3f349f403dba27a7/marenzi},
booktitle = {Proceedings of the WebScience 2016 conference},
interhash = {c7a0a2eda85b827de618efe9fdf2aaa9},
intrahash = {71653a61455fb10a3f349f403dba27a7},
keywords = {SarWeb myown sysrelevantforl3s},
pages = {367-369},
publisher = {ACM },
timestamp = {2016-12-22T17:41:11.000+0100},
title = {Search as research practices on the web: The SaR-Web platform for cross-language engine results analysis},
year = 2016
}