Search bias quantification: investigating political bias in social media and web search

Contextualized Web Search: Query-dependent Ranking and Social Media Search

Measuring search engine bias

This paper examines a real-time measure of bias in Web search engines. The measure captures the degree to which the distribution of URLs, retrieved in response to a query, deviates from an ideal or fair distribution for that query. This ideal is approximated by the distribution produced by a collection of search engines. Differences between bias and classical retrieval measures are highlighted ...

Integrating Initialization Bias and Search Bias in Neural Network Learning

The use of previously learned knowledge during learning has been shown to reduce the number of examples required for good generalization, and to increase robustness to noise in the examples. In reviewing various means of using learned knowledge from a domain to guide further learning in the same domain, two underlying classes are discerned. Methods which use previous knowledge to initialize a l...

Bias in Online Health Search

Search engines help people answer consequential questions. Biases in retrieved and indexed content (e.g., skew toward erroneous outcomes that represent deviations from reality), coupled with searchers’ biases in how they examine and interpret search results, can lead people to incorrect answers. In this article, we seek to better understand biases in search and retrieval, and in particular thos...

A Study of Web Search Engine Bias and its Assessment

Search engine bias has been seriously noticed in recent years. Several pioneering studies have reported that bias perceivably exists even with respect to the URLs in the search results. On the other hand, the potential bias with respect to the content of the search results has not been comprehensively studied. In this paper, we propose a two-dimensional approach to assess both the indexical bia...