most citedEvaluation Metrics for Measuring Bias in Search Engine Results

44 citations · 47 across the 11 of their papers we have counts for

collaborators

11 papers

cs.IR2022

Preliminary Bias Results in Search Engines

Gizem Gezici

This report aims to report my thesis progress so far. My work attempts to show the differences in the perspectives of two search engines, Bing and Google on several selected contro…

cs.CY2022

Keywords for Bias

Abdurrezak Efe, Gizem Gezici, Aysenur Uzun +1

This work proposes to analyse some keywords for bias analysis. For this, we are using several NLP approaches and compare them based on their capability of detecting keywords to ana…

cs.IR2022

Quantifying Political Bias in News Articles

Gizem Gezici

Search bias analysis is getting more attention in recent years since search results could affect In this work, we aim to establish an automated model for evaluating ideological bia…

cs.IR2022★ 44 cited

Evaluation Metrics for Measuring Bias in Search Engine Results

Gizem Gezici, Aldo Lipani, Yucel Saygin +1

Search engines decide what we see for a given search query. Since many people are exposed to information through search engines, it is fair to expect that search engines are neutra…

cs.IR2022

Experimenting with Selected Automated Approaches for Bias Analysis

Gizem Gezici

This work first presents our attempts to establish an automated model using state-of-the-art approaches for analysing bias in search results of Bing and Google. Experimental result…

cs.IR2022★ 2 cited

Case Study: The Impact of Location on Bias in Search Results

Gizem Gezici

In this work, we aim to investigate the impact of location (different countries) on bias in search results. For this, we use the search results of Google and Bing in the UK and US…

cs.IR2022

Measuring Gender Bias in Educational Videos: A Case Study on YouTube

Gizem Gezici, Yucel Saygin

Students are increasingly using online materials to learn new subjects or to supplement their learning process in educational institutions. Issues regarding gender bias have been r…

cs.IR2021

Literature Review of the Pioneering Approaches in Cloud-based Search Engines Powered by LETOR Techniques

Gizem Gezici

Search engines play an essential role in our daily lives. Nonetheless, they are also very crucial in enterprise domain to access documents from various information sources. Since t…

cs.IR2021

Query Suggestion for Click-Absent Queries in Enterprise Search

Gizem Gezici

Creating alternative queries, also known as query suggestion, has been proved to be helpful on improving users' search experience. Owing to the suggestions, users could retrieve th…

cs.IR2021★ 1 cited

Biased or Not?: The Story of Two Search Engines

Gizem Gezici

Search engines can be considered as a gate to the world of WEB, and they also decide what we see for a given search query. Since many people are exposed to information through sear…

cs.IR2021

Customising Ranking Models for Enterprise Search on Bilingual Click-Through Dataset

Gizem Gezici

In this work, we provide the details about the process of establishing an end-to-end system for enterprise search on bilingual click-through dataset. The first part of the paper wi…