A Study on Content Bias of Web Search Engines

Autor: Ing-Xiang Chen, 陳英祥
Rok vydání: 2003
Druh dokumentu: 學位論文 ; thesis
Popis: 91
To date, Web search engines have become an essential gateway to the vast Web space. Accompanied with the use of different technologies and strategies in Web search engines, there exists the bias issue on them. However, very few research studies focus on the issue of bias assessment. In 2002, Mowshowitz and Kawaguchi pointed out that bias is exhibited in the form of indexical bias rather than content bias. However, we argue that assessing indexical bias provides only a partial observation to bias in Web search engines. For example, when two search engines get the same result of indexical bias, their content may not be the same and even greatly differ to each other. Besides, although search engines may put undue emphasis on certain page content and result in the existence of content bias, content bias cannot be shown in the assessment of indexical bias. In our study, we first propose a mechanism to assess content bias in Web search engines. Then the experimental results of assessing both content bias and indexical bias of ten popular search engines are presented. The search engines are classified into four categories on the basis of both assessment results. Such classification is an effective reference for Internet users to choose a suitable Web search engine.
Databáze: Networked Digital Library of Theses & Dissertations