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We address the critical issue of biased algorithms and unfair rankings, which have permeated various sectors, including search engines, recommendation systems, and workforce management. These biases can lead to discriminatory outcomes in a…

Computers and Society · Computer Science 2025-02-11 Chiara Criscuolo , Davide Martinenghi , Giuseppe Piccirillo

The objective assessment of the prestige of an academic institution is a difficult and hotly debated task. In the last few years, different types of University Rankings have been proposed to quantify the excellence of different research…

Digital Libraries · Computer Science 2019-01-07 Francesco Alessandro Massucci , Domingo Docampo

Through academic publications, the authors of these publications form a social network. Instead of sharing casual thoughts and photos (as in Facebook), authors pick co-authors and reference papers written by other authors. Thanks to various…

Social and Information Networks · Computer Science 2014-02-18 Tom Z. J. Fu , Qianqian Song , Dah Ming Chiu

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 search engines, it is fair to expect that search engines should…

Information Retrieval · Computer Science 2021-12-28 Gizem Gezici

We describe a formal correctness proof of RANKING, an online algorithm for online bipartite matching. An outcome of our formalisation is that it shows that there is a gap in all combinatorial proofs of the algorithm. Filling that gap…

Logic in Computer Science · Computer Science 2023-03-01 Mohammad Abdulaziz , Christoph Madlener

Journal ranking is becoming more important in assessing the quality of academic research. Several indices have been suggested for this purpose, typically on the basis of a citation graph between the journals. We follow an axiomatic approach…

Digital Libraries · Computer Science 2020-05-28 László Csató

The task of expert finding has been getting increasing attention in information retrieval literature. However, the current state-of-the-art is still lacking in principled approaches for combining different sources of evidence in an optimal…

Information Retrieval · Computer Science 2013-02-05 Catarina Moreira , Pável Calado , Bruno Martins

Scientists pursue collective knowledge, but they also seek personal recognition from their peers. When scientists decide whether or not to work on a big new problem, they weigh the potential rewards of a major discovery against the costs of…

Physics and Society · Physics 2016-07-26 Carl T. Bergstrom , Jacob G. Foster , Yangbo Song

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

Citations are commonly held to represent scientific impact. To date, however, there is no empirical evidence in support of this postulate that is central to research assessment exercises and Science of Science studies. Here, we report on…

Digital Libraries · Computer Science 2016-12-14 Filippo Radicchi , Alexander Weissman , Johan Bollen

The sharing and citation of research data is becoming increasingly recognized as an essential building block in scientific research across various fields and disciplines. Sharing research data allows other researchers to reproduce results,…

Digital Libraries · Computer Science 2023-09-22 Tim Conrad , Eloi Ferrer , Daniel Mietchen , Larissa Pusch , Johannes Stegmuller , Moritz Schubotz

After a somewhat rocky start, geometry and topology have established a foothold in machine learning. Message passing, either on graphs or higher-order complexes, is one of the main drivers of geometric deep learning, and paradigms that were…

Machine Learning · Computer Science 2026-05-11 Bastian Rieck

Lotteries are commonly employed in school choice to fairly resolve priority ties; however, current practices typically keep students uninformed about their lottery outcomes at the time of preference submission. This paper advocates for…

Theoretical Economics · Economics 2025-12-04 Lingbo Huang , Jun Zhang

This article aims to show the weakness of the current scientific assessments, based on a set of contradictory pseudo-axioms. The six pseudo-axioms are deeply analysed. From the analysis are derived several conclusions. In spite of the…

Physics and Society · Physics 2007-05-23 Jose Carlos Bermejo Barrera

Rankings are the primary interface through which many online platforms match users to items (e.g. news, products, music, video). In these two-sided markets, not only the users draw utility from the rankings, but the rankings also determine…

Information Retrieval · Computer Science 2020-06-01 Marco Morik , Ashudeep Singh , Jessica Hong , Thorsten Joachims

Artificial Intelligence (AI) finds widespread application across various domains, but it sparks concerns about fairness in its deployment. The prevailing discourse in classification often emphasizes outcome-based metrics comparing sensitive…

Machine Learning · Computer Science 2024-12-18 Sofie Goethals , Marco Favier , Toon Calders

Ranking is a natural and ubiquitous way to facilitate decision-making in various applications. However, different rankings are often used for the same set of entities, with each ranking method placing emphasis on different factors. These…

Human-Computer Interaction · Computer Science 2020-04-15 Abishek Puri , Bon Kyung Ku , Yong Wang , Huamin Qu

Confronted with the challenge of identifying the most suitable metric to validate the merits of newly proposed models, the decision-making process is anything but straightforward. Given that comparing rankings introduces its own set of…

Information Retrieval · Computer Science 2024-08-30 Chiara Balestra , Andreas Mayr , Emmanuel Müller

Reputation is an important social construct in science, which enables informed quality assessments of both publications and careers of scientists in the absence of complete systemic information. However, the relation between reputation and…

With the remarkable increase in the number of scientific entities such as publications, researchers, and scientific topics, and the associated information overload in science, academic recommender systems have become increasingly important…

Information Retrieval · Computer Science 2023-02-14 Michael Färber , Melissa Coutinho , Shuzhou Yuan
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