Analyzing the Content Emphasis of Web Search Engines

被引:3
作者
Alam, Mohammed A. [1 ]
Downey, Doug [1 ]
机构
[1] Northwestern Univ, 2133 Sheridan Rd, Evanston, IL 60208 USA
来源
SIGIR'14: PROCEEDINGS OF THE 37TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL | 2014年
关键词
Web search engine; search engine bias; BIAS;
D O I
10.1145/2600428.2609515
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Millions of people search the Web each day. As a consequence, the ranking algorithms employed by Web search engines have a profound influence on which pages users visit. Characterizing this influence, and informing users when different engines favor certain sites or points of view, enables more transparent access to the Web's information. We present PAWS, a platform for analyzing differences among Web search engines. PAWS measures content emphasis: the degree to which differences across search engines' rankings correlate with features of the ranked content, including point of view (e.g., positive or negative orientation toward their company's products) and advertisements. We propose an approach for identifying the orientations in search results at scale, through a novel technique that minimizes the expected number of human judgments required. We apply PAWS to news search on Google and Bing, and find no evidence that the engines emphasize results that express positive orientation toward the engine company's products. We do find that the engines emphasize particular news sites, and that they also favor pages containing their company's advertisements, as opposed to competitor advertisements.
引用
收藏
页码:1083 / 1086
页数:4
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