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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

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Ludovico Boratto

    1. Eurecat - Centre Tecnològic de Catalunya, Barcelona, Spain

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  2. Stefano Faralli

    1. Unitelma Sapienza University of Rome, Rome, Italy

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  3. Mirko Marras

    1. École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland

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    You can also search for this editor in PubMed   Google Scholar

  4. Giovanni Stilo

    1. University of L'Aquila, L’Aquila, Italy

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1418)

Included in the following conference series:

Conference proceedings info: BIAS 2021.

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Table of contents (14 papers)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Towards Fairness-Aware Ranking by Defining Latent Groups Using Inferred Features

    • Yunhe Feng, Daniel Saelid, Ke Li, Ruoyuan Gao, Chirag Shah
    Pages 1-8

  3. Media Bias Everywhere? A Vision for Dealing with the Manipulation of Public Opinion

    • Michael Färber, Frederic Bartscherer
    Pages 9-13

  4. Users’ Perception of Search-Engine Biases and Satisfaction

    • Bin Han, Chirag Shah, Daniel Saelid
    Pages 14-24

  5. Preliminary Experiments to Examine the Stability of Bias-Aware Techniques

    • Toshihiro Kamishima, Shotaro Akaho, Yukino Baba, Hisashi Kashima
    Pages 25-35

  6. Detecting Race and Gender Bias in Visual Representation of AI on Web Search Engines

    • Mykola Makhortykh, Aleksandra Urman, Roberto Ulloa
    Pages 36-50

  7. Equality of Opportunity in Ranking: A Fair-Distributive Model

    • Elena Beretta, Antonio Vetrò, Bruno Lepri, Juan Carlos De Martin
    Pages 51-63

  8. Incentives for Item Duplication Under Fair Ranking Policies

    • Giorgio Maria Di Nunzio, Alessandro Fabris, Gianmaria Silvello, Gian Antonio Susto
    Pages 64-77

  9. Quantification of the Impact of Popularity Bias in Multi-stakeholder and Time-Aware Environments

    • Francisco Guíñez, Javier Ruiz, María Ignacia Sánchez
    Pages 78-91

  10. When Is a Recommendation Model Wrong? A Model-Agnostic Tree-Based Approach to Detecting Biases in Recommendations

    • Joanna Misztal-Radecka, Bipin Indurkhya
    Pages 92-105

  11. Examining Video Recommendation Bias on YouTube

    • Baris Kirdemir, Joseph Kready, Esther Mead, Muhammad Nihal Hussain, Nitin Agarwal
    Pages 106-116

  12. An Information-Theoretic Measure for Enabling Category Exemptions with an Application to Filter Bubbles

    • Chenyu Jiang, Bowen Wu, Sanghamitra Dutta, Pulkit Grover
    Pages 117-129

  13. Perception-Aware Bias Detection for Query Suggestions

    • Fabian Haak, Philipp Schaer
    Pages 130-142

  14. Crucial Challenges in Large-Scale Black Box Analyses

    • Tobias D. Krafft, Martin Reber, Roman Krafft, Anna Coutrier, Katharina A. Zweig
    Pages 143-155

  15. New Performance Metrics for Offline Content-Based TV Recommender System

    • Luisa Simões, Vaibhav Shah, João Silva, Nelson Rodrigues, Nuno Leite, Nuno Lopes
    Pages 156-169

  16. Back Matter

    Pages 171-171
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  1. Advances in Bias and Fairness in Information Retrieval

Keywords

About this book

This book constitutes refereed proceedings of the Second International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2021, held in April, 2021. Due to the COVID-19 pandemic BIAS 2021 was held virtually. 

The 11 full papers and 3 short papers were carefully reviewed and selected from 37 submissions. The papers cover topics that go from search and recommendation in online dating, education, and social media, over the impact of gender bias in word embeddings, to tools that allow to explore bias and fairnesson the Web. 

Editors and Affiliations

  • Eurecat - Centre Tecnològic de Catalunya, Barcelona, Spain

    Ludovico Boratto

  • Unitelma Sapienza University of Rome, Rome, Italy

    Stefano Faralli

  • École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland

    Mirko Marras

  • University of L'Aquila, L’Aquila, Italy

    Giovanni Stilo

Bibliographic Information

  • Book Title: Advances in Bias and Fairness in Information Retrieval

  • Book Subtitle: Second International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2021, Lucca, Italy, April 1, 2021, Proceedings

  • Editors: Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo

  • Series Title: Communications in Computer and Information Science

  • DOI: https://doi.org/10.1007/978-3-030-78818-6

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2021

  • Softcover ISBN: 978-3-030-78817-9Published: 25 June 2021

  • eBook ISBN: 978-3-030-78818-6Published: 24 June 2021

  • Series ISSN: 1865-0929

  • Series E-ISSN: 1865-0937

  • Edition Number: 1

  • Number of Pages: X, 171

  • Number of Illustrations: 6 b/w illustrations, 34 illustrations in colour

  • Topics: Information Systems and Communication Service

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