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Web search engines have become the dominant tools for finding information on the Internet. Due to their popularity, users apply them to a wide range of search needs, from simple look-ups to rather complex information tasks. This paper…

Information Retrieval · Computer Science 2012-07-05 Georg Singer , Ulrich Norbisrath , Dirk Lewandowski

Many online platforms predominantly rank items by predicted user engagement. We believe that there is much unrealized potential in including non-engagement signals, which can improve outcomes both for platforms and for society as a whole.…

Social and Information Networks · Computer Science 2024-02-13 Tom Cunningham , Sana Pandey , Leif Sigerson , Jonathan Stray , Jeff Allen , Bonnie Barrilleaux , Ravi Iyer , Smitha Milli , Mohit Kothari , Behnam Rezaei

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…

Information Retrieval · Computer Science 2021-05-10 Bin Han , Chirag Shah , Daniel Saelid

Purpose - To test the ability of major search engines, Google, Yahoo, MSN, and Ask, to distinguish between German and English-language documents Design/methodology/approach - 50 queries, using words common in German and in English, were…

Information Retrieval · Computer Science 2015-11-19 Dirk Lewandowski

Search engine results depend not only on the algorithms but also on how users interact with them. However, factors affecting the selection of a search query remain understudied. Using a representative survey of Swiss citizens before a round…

Human-Computer Interaction · Computer Science 2024-10-02 Victoria Vziatysheva , Mykola Makhortykh , Maryna Sydorova , Vihang Jumle

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…

Information Retrieval · Computer Science 2018-08-06 Ahmed Kamoun , Patrick Maillé , Bruno Tuffin

Internet users highly rely on and trust web search engines, such as Google, to find relevant information online. However, scholars have documented numerous biases and inaccuracies in search outputs. To improve the quality of search results,…

Computers and Society · Computer Science 2023-10-06 Aleksandra Urman , Aniko Hannak , Mykola Makhortykh

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…

Human-Computer Interaction · Computer Science 2017-10-24 Sebastian Suenkler , Dirk Lewandowski

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…

Information Retrieval · Computer Science 2021-10-19 Aldo Lipani , Florina Piroi , Emine Yilmaz

Search engine retrieval effectiveness studies are usually small-scale, using only limited query samples. Furthermore, queries are selected by the researchers. We address these issues by taking a random representative sample of 1,000…

Information Retrieval · Computer Science 2014-05-12 Dirk Lewandowski

There is a growing demand for transparency in search engines to understand how search results are curated and to enhance users' trust. Prior research has introduced search result explanations with a focus on how to explain, assuming…

Human-Computer Interaction · Computer Science 2024-02-26 Prerna Juneja , Wenjuan Zhang , Alison Marie Smith-Renner , Hemank Lamba , Joel Tetreault , Alex Jaimes

We conduct a comparative analysis of desktop web search behaviour of users from Germany (n=558) and Switzerland (n=563) based on a combination of web tracking and survey data. We find that web search accounts for 13% of all desktop…

Human-Computer Interaction · Computer Science 2021-05-12 Aleksandra Urman , Mykola Makhortykh

As a mainstream marketing channel on the Internet, Search Engine Advertising (SEA) has a huge business impact and attracts a plethora of attention from both academia and industry. One important goal of advertising is to increase sales.…

Computers and Society · Computer Science 2020-08-18 Yanwu Yang , Kang Zhao , Daniel Zeng , Bernard Jim Jansen

Web search engines apply a variety of ranking signals to achieve user satisfaction, i.e., results pages that provide the best-possible results to the user. While these ranking signals implicitly consider credibility (e.g., by measuring…

Information Retrieval · Computer Science 2012-08-07 Dirk Lewandowski

Purpose: To compare five major Web search engines (Google, Yahoo, MSN, Ask.com, and Seekport) for their retrieval effectiveness, taking into account not only the results but also the results descriptions. Design/Methodology/Approach: The…

Information Retrieval · Computer Science 2015-11-19 Dirk Lewandowski

Online platforms have transformed the way in which individuals access and interact with news, with a high degree of trust particularly placed in search engine results. We use web tracked behavioral data across a 2-month period and analyze…

Computers and Society · Computer Science 2023-04-06 Roberto Ulloa , Celina Sylwia Kacperski

Purpose: We model group advertising decisions, which are the collective decisions of every single advertiser within the set of advertisers who are competing in the same auction or vertical industry, and examine resulting market outcomes,…

Artificial Intelligence · Computer Science 2022-03-07 Yanwu Yang , Xin Li , Bernard J. Jansen , Daniel Zeng

The influence of Web search personalisation on professional knowledge work is an understudied area. Here we investigate how public sector officials self-assess their dependency on the Google Web search engine, whether they are aware of the…

Information Retrieval · Computer Science 2019-05-21 Cameron Lai , Markus Luczak-Roesch

Purpose - To test major Web search engines on their performance on navigational queries, i.e. searches for homepages. Design/methodology/approach - 100 real user queries are posed to six search engines (Google, Yahoo, MSN, Ask, Seekport,…

Information Retrieval · Computer Science 2015-11-19 Dirk Lewandowski

We carried out a retrieval effectiveness test on the three major web search engines (i.e., Google, Microsoft and Yahoo). In addition to relevance judgments, we classified the results according to their commercial intent and whether or not…

Information Retrieval · Computer Science 2015-11-19 Dirk Lewandowski