The DOI matches its Crossref record; 23 of the 24 references it cites were found in a registry or an index.
Is Google enough? Comparison of an internet search engine with academic library resources
Abstract
Purpose: The purpose of the study was to compare an internet search engine, Google, with appropriate library databases and systems, in order to assess the relative value, strengths and weaknesses of the two sorts of system. Design/methodology/approach: A case study approach was used, with detailed analysis and failure checking of results. The performance of the two systems was assessed in terms of coverage, unique records, precision, and quality and accessibility of results. A novel form of relevance assessment, based on the work of Saracevic and others was devised. Findings: Google is superior for coverage and accessibility. Library systems are superior for quality of results. Precision is similar for both systems. Good coverage requires use of both, as both have many unique items. Improving the skills of the searcher is likely to give better results from the library systems, but not from Google. Research limitations/implications: Only four case studies were included. These were limited to the kind of queries likely to be searched by university students. Library resources were limited to those in two UK academic libraries. Only the basic Google web search functionality was used, and only the top ten records examined. Practical implications: The results offer guidance for those providing support and training for use of these retrieval systems, and also provide evidence for debates on the “Google phenomenon”. Originality/value: This is one of the few studies which provide evidence on the relative performance of internet search engines and library databases, and the only one to conduct such in‐depth case studies. The method for the assessment of relevance is novel.
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“Students in particular utilize Google as a main source in information seeking.52, 83, 84”
Citations
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Metadata
- Authors
- Brophy, J., & Bawden, D.
- Affiliations
- City, University of London (GB)
- ORCID
- Bawden, David
- Venue
- Aslib Proceedings
- Publisher
- Emerald
- Published
- 2005-12-01
- Volume
- 57
- Issue
- 6
- Pages
- 498-512
- ISSN
- 0001-253X (ISSN-L)
- OpenAlex
- W2068269199
- Cited by
- 213
- References
- 24
- Citations by year
- 2025: 1 · 2024: 11 · 2023: 10 · 2022: 10 · 2021: 15 · 2020: 13 · 2019: 11 · 2018: 14 · 2017: 8 · 2016: 12 · 2015: 16 · 2014: 14 · 2013: 14 · 2012: 14
- FWCI
- 18.23
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Aslib Journal of Information Management (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
- Social Sciences › Library and Information Sciences › Library Science and Information Literacy
- Social Sciences › Library and Information Sciences › Library Science and Information
- Keywords
- Google, search engines, library databases, academic libraries, search performance comparison, search coverage, precision, relevance assessment, information retrieval, university students
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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