91,899 research outputs found
You can't see what you can't see: Experimental evidence for how much relevant information may be missed due to Google's Web search personalisation
The influence of Web search personalisation on professional knowledge work is
an understudied area. Here we investigate how public sector officials
self-assess their dependency on the Google Web search engine, whether they are
aware of the potential impact of algorithmic biases on their ability to
retrieve all relevant information, and how much relevant information may
actually be missed due to Web search personalisation. We find that the majority
of participants in our experimental study are neither aware that there is a
potential problem nor do they have a strategy to mitigate the risk of missing
relevant information when performing online searches. Most significantly, we
provide empirical evidence that up to 20% of relevant information may be missed
due to Web search personalisation. This work has significant implications for
Web research by public sector professionals, who should be provided with
training about the potential algorithmic biases that may affect their judgments
and decision making, as well as clear guidelines how to minimise the risk of
missing relevant information.Comment: paper submitted to the 11th Intl. Conf. on Social Informatics;
revision corrects error in interpretation of parameter Psi/p in RBO resulting
from discrepancy between the documentation of the implementation in R
(https://rdrr.io/bioc/gespeR/man/rbo.html) and the original definition
(https://dl.acm.org/citation.cfm?id=1852106) as per 20/05/201
Creation of a Style Independent Intelligent Autonomous Citation Indexer to Support Academic Research
This paper describes the current state of RUgle, a system for
classifying and indexing papers made available on the
World Wide Web, in a domain-independent and universal
manner. By building RUgle with the most relaxed
restrictions possible on the formatting of the documents it
can process, we hope to create a system that can combine
the best features of currently available closed library
searches that are designed to facilitate academic research
with the inclusive nature of general purpose search engines
that continually crawl the web and add documents to their
indexed database
Trademark Searching Tools and Strategies: Questions for the New Millennium
The intent of this discussion is to raise questions about trademark searching which will be discussed in future issues of IDEA. I will lead you through the questions raised by my journey through primarily legal literature in treatises and periodicals on the Lexis and Westlaw platforms
Search Engine Users
Presents findings from a survey conducted in May and June 2004. Looks at confidence in search ability; satisfaction with results; overall trust of search engines; and demographic differences among searchers
Good practice guidance for search service providers and advice to the public on how to search safely
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