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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.
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.