Advances in bias and fairness in information retrieval : second International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2021, Lucca, Italy, April 1, 2021 : proceedings
Electronic reproduction. Ann Arbor, MI Available via World Wide Web.
Towards fairness-aware ranking by defining latent groups using inferred features / Yunhe Feng, Daniel Saelid, Ke Li, Ruoyuan Gao, and Chirag Shah -- Media bias everywhere? A vision for dealing with the manipulation of public opinion / Michael Färber and Frederic Bartscherer -- Users' perception of search-engine biases and satisfaction / Bin Han, Chirag Shah, and Daniel Saelid -- Preliminary experiments to examine the stability of bias-aware techniques / Toshihiro Kamishima, Shotaro Akaho, Yukino Baba, and Hisashi Kashima -- Detecting race and gender bias in visual representation of AI on web search engines / Mykolo Makhortykh, Aleksandra Urman, and Roberto Ulloa -- Equality of opportunity in ranking : a fair-distributive model / Elena Beretta, Antonio Vetrò, Bruno Lepri, and Juan Carlos De Martin -- Incentives for item duplication under fair ranking policies / Giorgio Maria Di Nunzio, Alessandro Fabris, Gianmaria Silvello, and Gian Antonio Susto -- Quantification of the impact of popularity bias in multi-stakeholder and time-aware environment / Francisco Guíñez, Javier Ruiz, and María Ignacia Sánchez -- When is a recommendation model wrong? A model-agnostic tree-based approach to detecting biases in recommendations / Joanna Misztal-Radecka and Bipin Indurkhya -- Evaluating video recommendation bias on YouTube / Baris Kirdemir, Joseph Kready, Esther Mead, Muhammad Nihal Hussain, and Nitin Agarwal -- An information-theoretic measure for enabling category exemptions with an application to filter bubbles / Chenyu Jiang, Bowen Wu, Sanghamitra Dutta, and Pulkit Grover -- Perception-aware bias detection for query suggestions / Fabian Haak and Philipp Schaer -- Crucial challenges in large-scale black box analyses / Tobias D. Krafft, Martin Reber, Roman Krafft, Anna Courtier, and Katharina A. Zweig -- New performance metrics for offline content-based TV recommender systems/ Luisa Simões, Vaibhav Shah, João Silva, Nelson Rodrigues, Nuno Leite, and Nuno Lopes