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相关论文: Biased or Not?: The Story of Two Search Engines

200 篇论文

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 neutral. However, search engine results do not necessarily cover…

信息检索 · 计算机科学 2023-02-07 Gizem Gezici , Aldo Lipani , Yucel Saygin , Emine Yilmaz

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 controversial topics. In this work, we try to make a distinction…

信息检索 · 计算机科学 2022-11-22 Gizem Gezici

Search engines could consistently favor certain values over the others, which is considered as biased due to the built-in infrastructures. Many studies have been dedicated to detect, control, and mitigate the impacts of the biases from the…

信息检索 · 计算机科学 2021-05-10 Bin Han , Chirag Shah , Daniel Saelid

Search engines play a crucial role in shaping public discourse by influencing how information is accessed and framed. While prior research has extensively examined various dimensions of search bias -- such as content prioritization,…

计算与语言 · 计算机科学 2025-07-18 Amrit Poudel , Tim Weninger

Information availability affects people's behavior and perception of the world. Notably, people rely on search engines to satisfy their need for information. Search engines deliver results relevant to user requests usually without being or…

信息检索 · 计算机科学 2021-10-19 Aldo Lipani , Florina Piroi , Emine Yilmaz

Search query suggestions affect users' interactions with search engines, which then influences the information they encounter. Thus, bias in search query suggestions can lead to exposure to biased search results and can impact opinion…

信息检索 · 计算机科学 2024-11-01 Fabian Haak , Björn Engelmann , Christin Katharina Kreutz , Philipp Schaer

The evolution of information-seeking processes, driven by search engines like Google, has transformed the access to information people have. This paper investigates how individuals' preexisting attitudes influence the modern…

计算机与社会 · 计算机科学 2024-01-18 Hussam Habib , Ryan Stoldt , Andrew High , Brian Ekdale , Ashley Peterson , Katy Biddle , Javie Ssozi , Rishab Nithyanand

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 locations. The query set is composed of controversial…

信息检索 · 计算机科学 2022-06-24 Gizem Gezici

People use web search engines to find information before forming opinions, which can lead to practical decisions with different levels of impact. The cognitive effort of search can leave opinionated users vulnerable to cognitive biases,…

信息检索 · 计算机科学 2023-09-18 Z. Wu , T. Draws , F. Cau , F. Barile , A. Rieger , N. Tintarev

Search engines are used and trusted by hundreds of millions of people every day. However, the algorithms used by search engines to index, filter, and rank web content are inherently biased, and will necessarily prefer some views and…

计算机与社会 · 计算机科学 2025-11-03 Ronja Rönnback , Chris Emmery , Marie Šafář Postma , Filip Milde , Jan Charvát , Henry Brighton

This publication describes the motivation and generation of $Q_{bias}$, a large dataset of Google and Bing search queries, a scraping tool and dataset for biased news articles, as well as language models for the investigation of bias in…

信息检索 · 计算机科学 2023-11-30 Fabian Haak , Philipp Schaer

Researchers rely on academic Web search engines to find scientific sources, but search engine mechanisms may selectively present content that aligns with biases embedded in queries. This study examines whether confirmation biased queries…

计算机与社会 · 计算机科学 2025-01-03 Celina Kacperski , Mona Bielig , Mykola Makhortykh , Maryna Sydorova , Roberto Ulloa

Search engines play an important role in the context of modern elections. By curating information in response to user queries, search engines influence how individuals are informed about election-related developments and perceive the media…

计算机与社会 · 计算机科学 2025-01-10 Mykola Makhortykh , Tobias Rorhbach , Maryna Sydorova , Elizaveta Kuznetsova

When interacting with information retrieval (IR) systems, users, affected by confirmation biases, tend to select search results that confirm their existing beliefs on socially significant contentious issues. To understand the judgments and…

信息检索 · 计算机科学 2024-06-18 Ben Wang , Jiqun Liu

Conflicts of interest often arise between data sources and their users regarding how the users' information needs should be interpreted by the data source. For example, an online product search might be biased towards presenting certain…

数据库 · 计算机科学 2026-03-09 Nischal Aryal , Arash Termehchy , Marianne Winslett

The objective of this research was to find out how the two search engines Google and Bing perform when users work freely on pre-defined tasks, and judge the relevance of the results immediately after finishing their search session. In a…

人机交互 · 计算机科学 2017-10-24 Sebastian Suenkler , Dirk Lewandowski

Search engines have become key media for our scientific, economic, and social activities by enabling people to access information on the Web in spite of its size and complexity. On the down side, search engines bias the traffic of users…

计算机与社会 · 计算机科学 2009-02-19 Santo Fortunato , Alessandro Flammini , Filippo Menczer , Alessandro Vespignani

Search systems in online social media sites are frequently used to find information about ongoing events and people. For topics with multiple competing perspectives, such as political events or political candidates, bias in the top ranked…

The way pages are ranked in search results influences whether the users of search engines are exposed to more homogeneous, or rather to more diverse viewpoints. However, this viewpoint diversity is not trivial to assess. In this paper we…

信息检索 · 计算机科学 2021-07-06 Tim Draws , Nava Tintarev , Ujwal Gadiraju , Alessandro Bozzon , Benjamin Timmermans

Different search engines provide different outputs for the same keyword. This may be due to different definitions of relevance, and/or to different knowledge/anticipation of users' preferences, but rankings are also suspected to be biased…

信息检索 · 计算机科学 2018-08-06 Ahmed Kamoun , Patrick Maillé , Bruno Tuffin
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