Please use this identifier to cite or link to this item: https://etd.cput.ac.za/handle/20.500.11838/1767
DC FieldValueLanguage
dc.contributor.advisorWeideman, M., Profen_US
dc.contributor.authorZuze, Herberten_US
dc.date.accessioned2014-07-28T08:14:45Z-
dc.date.accessioned2016-02-25T05:57:47Z-
dc.date.available2014-07-28T08:14:45Z-
dc.date.available2016-02-25T05:57:47Z-
dc.date.issued2011-
dc.identifier.urihttp://hdl.handle.net/20.500.11838/1767-
dc.descriptionThesis (MTech (Business Information Systems))--Cape Peninsula University of Technology, 2011en_US
dc.description.abstractWith over a billion Internet users surfing the Web daily in search of information, buying, selling and accessing social networks, marketers focus intensively on developing websites that are appealing to both the searchers and the search engines. Millions of webpages are submitted each day for indexing to search engines. The success of a search engine lies in its ability to provide accurate search results. Search engines’ algorithms constantly evaluate websites and webpages that could violate their respective policies. For this reason some websites and webpages are subsequently blacklisted from their index. Websites are increasingly being utilised as marketing tools, which result in major competition amongst websites. Website developers strive to develop websites of high quality, which are unique and content rich as this will assist them in obtaining a high ranking from search engines. By focusing on websites of a high standard, website developers utilise search engine optimisation (SEO) strategies to earn a high search engine ranking. From time to time SEO practitioners abuse SEO techniques in order to trick the search engine algorithms, but the algorithms are programmed to identify and flag these techniques as spamdexing. Search engines do not clearly explain how they interpret keyword stuffing (one form of spamdexing) in a webpage. However, they regard spamdexing in many different ways and do not provide enough detail to clarify what crawlers take into consideration when interpreting the spamdexing status of a website. Furthermore, search engines differ in the way that they interpret spamdexing, but offer no clear quantitative evidence for the crossover point of keyword dense website text to spamdexing. Scholars have indicated different views in respect of spamdexing, characterised by different keyword density measurements in the body text of a webpage. This raised several fundamental questions that form the basis of this research. This research was carried out using triangulation in order to determine how the scholars, search engines and SEO practitioners interpret spamdexing. Five websites with varying keyword densities were designed and submitted to Google, Yahoo! and Bing. Two phases of the experiment were done and the results were recorded. During both phases almost all of the webpages, including the one with a 97.3% keyword density, were indexed. The aforementioned enabled this research to conclusively disregard the keyword stuffing issue, blacklisting and any form of penalisation. Designers are urged to rather concentrate on usability and good values behind building a website. The research explored the fundamental contribution of keywords to webpage indexing and visibility. Keywords used with or without an optimum level of measurement of richness and poorness result in website ranking and indexing. However, the focus should be on the way in which the end user would interpret the content displayed, rather than how the search engine would react towards the content. Furthermore, spamdexing is likely to scare away potential clients and end users instead of embracing them, which is why the time spent on spamdexing should rather be used to produce quality content.en_US
dc.language.isoenen_US
dc.publisherCape Peninsula University of Technologyen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/za/-
dc.subjectWeb search enginesen_US
dc.subjectWeb site developmenten_US
dc.subjectMTechen_US
dc.titleThe crossover point between keyword rich website text and spamdexingen_US
dc.typeThesisen_US
Appears in Collections:Financial Information Systems - Masters Degrees
Files in This Item:
File Description SizeFormat 
Zuze_H_MTech.pdfThesis4.9 MBAdobe PDFThumbnail
View/Open
Show simple item record

Page view(s)

1,007
Last Week
2
Last month
11
checked on Nov 24, 2024

Download(s)

628
checked on Nov 24, 2024

Google ScholarTM

Check


This item is licensed under a Creative Commons License Creative Commons