Hit count estimate variability for website-specific queries in search engines
| Autor: | José-Antonio Ontalba-Ruipérez, Enrique Orduña-Malea, Cristina I. Font-Julian |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Estimation
Information retrieval Future studies Computer science 05 social sciences BIBLIOTECONOMIA Y DOCUMENTACION Search engine results page Sample (statistics) Library and Information Sciences 050905 science studies Rare diseases Hit count estimates Set (abstract data type) Search engine Website page count Search engines Bing 0509 other social sciences 050904 information & library sciences Association (psychology) Practical implications Information Systems |
| Zdroj: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname |
| ISSN: | 2050-3806 |
| DOI: | 10.1108/ajim-10-2017-0226 |
| Popis: | Purpose The purpose of this paper is to determine the effect of the chosen search engine results page (SERP) on the website-specific hit count estimation indicator. Design/methodology/approach A sample of 100 Spanish rare disease association websites is analysed, obtaining the website-specific hit count estimation for the first and last SERPs in two search engines (Google and Bing) at two different periods in time (2016 and 2017). Findings It has been empirically demonstrated that there are differences between the number of hits returned on the first and last SERP in both Google and Bing. These differences are significant when they exceed a threshold value on the first SERP. Research limitations/implications Future studies considering other samples, more SERPs and generating different queries other than website page count () would be desirable to draw more general conclusions on the nature of quantitative data provided by general search engines. Practical implications Selecting a wrong SERP to calculate some metrics (in this case, website-specific hit count estimation) might provide misleading results, comparisons and performance rankings. The empirical data suggest that the first SERP captures the differences between websites better because it has a greater discriminating power and is more appropriate for webometric longitudinal studies. Social implications The findings allow improving future quantitative webometric analyses based on website-specific hit count estimation metrics in general search engines. Originality/value The website-specific hit count estimation variability between SERPs has been empirically analysed, considering two different search engines (Google and Bing), a set of 100 websites focussed on a similar market (Spanish rare diseases associations), and two annual samples, making this study the most exhaustive on this issue to date. |
| Databáze: | OpenAIRE |
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