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Algorithmic decision-making (ADM) increasingly shapes people's daily lives. Given that such autonomous systems can cause severe harm to individuals and social groups, fairness concerns have arisen. A human-centric approach demanded by…

Human-Computer Interaction · Computer Science 2021-03-23 Christopher Starke , Janine Baleis , Birte Keller , Frank Marcinkowski

The importance of collaboration in research is widely accepted, as is the fact that articles with more authors tend to be more cited. Nevertheless, although previous studies have investigated whether the apparent advantage of collaboration…

Digital Libraries · Computer Science 2015-12-22 Mike Thelwall , Pardeep Sud

While not all researchers prioritize social impact, it is undeniably a crucial aspect that adds significance to their work. The objective of this paper is to explore potential gender differences in the social attention paid to researchers…

Social and Information Networks · Computer Science 2023-08-23 Sara M. González-Betancor , Pablo Dorta-González

Modern machine learning and computer science conferences are experiencing a surge in the number of submissions that challenges the quality of peer review as the number of competent reviewers is growing at a much slower rate. To curb this…

Digital Libraries · Computer Science 2020-12-01 Ivan Stelmakh , Nihar B. Shah , Aarti Singh , Hal Daumé

Communities on the web rely on open conversation forums for a number of tasks, including governance, information sharing, and decision making. However these forms of collective deliberation can often result in biased outcomes. A prime…

Human-Computer Interaction · Computer Science 2026-03-03 Khandaker Tasnim Huq , Giovanni Luca Ciampaglia

We analyze the role of first (leading) author gender on the number of citations that a paper receives, on the publishing frequency and on the self-citing tendency. We consider a complete sample of over 200,000 publications from 1950 to 2015…

Instrumentation and Methods for Astrophysics · Physics 2018-04-23 Neven Caplar , Sandro Tacchella , Simon Birrer

The advancement of science is inherently dependent on the recombination of existing knowledge, and innovative research typically relies on the atypical recombination of established knoweldge bases. This study introduces a Knowledge…

Digital Libraries · Computer Science 2025-12-23 Liang Guoqiang , Sun Jian , Lin Gege , Zhang Shuo

Scientific communities have adopted different conventions for ordering authors on publications. Are these choices inconsequential, or do they have significant influence on individual authors, the quality of the projects completed, and…

Computer Science and Game Theory · Computer Science 2016-10-05 Margareta Ackerman , Simina Brânzei

Peer review assignment algorithms aim to match research papers to suitable expert reviewers, working to maximize the quality of the resulting reviews. A key challenge in designing effective assignment policies is evaluating how changes to…

Information Retrieval · Computer Science 2023-05-30 Martin Saveski , Steven Jecmen , Nihar B. Shah , Johan Ugander

We explore how large language models (LLMs) can enhance the proposal selection process at large user facilities, offering a scalable, consistent, and cost-effective alternative to traditional human review. Proposal selection depends on…

Artificial Intelligence · Computer Science 2025-12-12 Lijie Ding , Janell Thomson , Jon Taylor , Changwoo Do

This study examines gender disparities in communication research through citation metrics, authorship patterns, team composition, and faculty salaries. Using data from 62,359 papers across 121 communication journals, we find that while…

Digital Libraries · Computer Science 2025-01-17 Diego F. M. Oliveira , Qian Huang

We conducted an experiment during the review process of the 2023 International Conference on Machine Learning (ICML), asking authors with multiple submissions to rank their papers based on perceived quality. In total, we received 1,342…

It is widely accepted that women are underrepresented in academia in general and economics in particular. This paper introduces a test to detect an under-researched form of hiring bias: implicit quotas. I derive a test under the Null of…

Econometrics · Economics 2021-11-19 Lena Janys

As the number of accepted papers at AI and ML conferences reaches into the thousands, it has become unclear how researchers access and read research publications. In this paper, we investigate the role of social media influencers in…

Digital Libraries · Computer Science 2024-07-24 Iain Xie Weissburg , Mehir Arora , Xinyi Wang , Liangming Pan , William Yang Wang

Recent successes in the Machine Learning community have led to a steep increase in the number of papers submitted to conferences. This increase made more prominent some of the issues that affect the current review process used by these…

Machine Learning · Computer Science 2021-06-03 Alessio Russo

A large host of scientific journals and conferences solicit peer reviews from multiple reviewers for the same submission, aiming to gather a broader range of perspectives and mitigate individual biases. In this work, we reflect on the role…

Digital Libraries · Computer Science 2024-11-19 Navita Goyal , Ivan Stelmakh , Nihar Shah , Hal Daumé

It is common that a jury must grade a set of candidates in a cardinal scale such as {1,2,3,4,5} or an ordinal scale such as {Great, Good, Average, Bad }. When the number of candidates is very large such as hotels (BOOKING), restaurants…

Computer Science and Game Theory · Computer Science 2023-02-24 Rida Laraki , Estelle Varloot

Contributing to the writing of history has never been as easy as it is today thanks to Wikipedia, a community-created encyclopedia that aims to document the world's knowledge from a neutral point of view. Though everyone can participate it…

Social and Information Networks · Computer Science 2016-03-04 Claudia Wagner , Eduardo Graells-Garrido , David Garcia , Filippo Menczer

There is widespread debate on whether to anonymize author identities in peer review. The key argument for anonymization is to mitigate bias, whereas arguments against anonymization posit various uses of author identities in the review…

Digital Libraries · Computer Science 2023-07-19 Nihar B. Shah

Some of the citation advantage in open access is likely due to more access allows more people to read and hence cite articles they otherwise would not. However, causation is difficult to establish and there are many possible bias. Several…

Digital Libraries · Computer Science 2022-02-07 Pablo Dorta-González , María Isabel Dorta-González
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