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Readability and word complexity of SERPs snippets and web pages on children’s search queries

Authors :
Li-Min Huang
Dania Bilal
Source :
Aslib Journal of Information Management. 71:241-259
Publication Year :
2019
Publisher :
Emerald, 2019.

Abstract

Purpose The purpose of this paper is to analyze the readability and level of word complexity of search engine results pages (SERPs) snippets and associated web pages between Google and Bing. Design/methodology/approach The authors employed the Readability Test Tool to analyze the readability and word complexity of 3,000 SERPs snippets and 3,000 associated pages in Google and Bing retrieved on 150 search queries issued by middle school children. Findings A significant difference was found in the readability of SERPs snippets and associated web pages between Google and Bing. A significant difference was also observed in the number of complex words in snippets between the two engines but not in associated web pages. At the engine level, the readability of Google and Bing snippets was significantly higher than associated web pages. The readability of Google SERPs snippets was at a much higher level than those of Bing. The readability of snippets in both engines mismatched with the reading comprehension of children in grades 6–8. Research limitations/implications The data corpus may be small. Analysis relied on quantitative measures. Practical implications Practitioners and other mediators should mitigate the readability issue in SERPs snippets. Researchers should consider text readability and word complexity simultaneously with other factors to obtain the nuanced understanding of young users’ web information behaviors. Additional theoretical and methodological implications are discussed. Originality/value This study measured the readability and the level of word complexity embedded in SERPs snippets and compared them to respective web pages in Google and Bing. Findings provide further evidence of the readability issue of SERPs snippets and the need to solve this issue through system design improvements.

Details

ISSN :
20503806
Volume :
71
Database :
OpenAIRE
Journal :
Aslib Journal of Information Management
Accession number :
edsair.doi...........627cfa069dafef9f43c6da0fb84ca7e0
Full Text :
https://doi.org/10.1108/ajim-05-2018-0124