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Advances in Bias and Fairness in Information Retrieval

4th International Workshop, BIAS 2023, Dublin, Ireland, April 2, 2023, Revised Selected Papers

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Ludovico Boratto

    1. University of Cagliari, Cagliari, Italy

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  2. Stefano Faralli

    1. Sapienza University of Rome, Rome, Italy

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  3. Mirko Marras

    1. University of Cagliari, Cagliari, Italy

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  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 1840)

Included in the following conference series:

Conference proceedings info: BIAS 2023.

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About this book

This book constitutes the refereed proceedings of the 4th International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2023, held in Dublin, Ireland, in April 2023.
The 10 full papers and 4 short papers included in this book were carefully reviewed and selected from 36 submissions. The present recent research in the following topics: biases exploration and assessment; mitigation strategies against biases; biases in newly emerging domains of application, including healthcare, Wikipedia, and news, novel perspectives; and conceptualizations of biases in the context of generative models and graph neural networks.

Keywords

Table of contents (14 papers)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations

    • Dominik Kowald, Gregor Mayr, Markus Schedl, Elisabeth Lex
    Pages 1-16

  3. Measuring Bias in Multimodal Models: Multimodal Composite Association Score

    • Abhishek Mandal, Susan Leavy, Suzanne Little
    Pages 17-30

  4. Evaluating Fairness Metrics

    • Zahid Irfan, Fergal McCaffery, Róisín Loughran
    Pages 31-41

  5. Utilizing Implicit Feedback for User Mainstreaminess Evaluation and Bias Detection in Recommender Systems

    • Kuanyi Zhang, Min Xie, Yi Zhang, Haixian Zhang
    Pages 42-58

  6. Preserving Utility in Fair Top-k Ranking with Intersectional Bias

    • Nicola Alimonda, Alessandro Castelnovo, Riccardo Crupi, Fabio Mercorio, Mario Mezzanzanica
    Pages 59-73

  7. Mitigating Position Bias in Hotels Recommender Systems

    • Yinxiao Li
    Pages 74-84

  8. Improving Recommender System Diversity with Variational Autoencoders

    • Sheetal Borar, Hilde Weerts, Binyam Gebre, Mykola Pechenizkiy
    Pages 85-99

  9. Addressing Biases in the Texts Using an End-to-End Pipeline Approach

    • Shaina Raza, Syed Raza Bashir, Sneha, Urooj Qamar
    Pages 100-107

  10. Bootless Application of Greedy Re-ranking Algorithms in Fair Neural Team Formation

    • Hamed Loghmani, Hossein Fani
    Pages 108-118

  11. How Do You Feel? Information Retrieval in Psychotherapy and Fair Ranking Assessment

    • Vivek Kumar, Giacomo Medda, Diego Reforgiato Recupero, Daniele Riboni, Rim Helaoui, Gianni Fenu
    Pages 119-133

  12. Understanding Search Behavior Bias in Wikipedia

    • Bruno Scarone, Ricardo Baeza-Yates, Erik Bernhardson
    Pages 134-146

  13. Do You MIND? Reflections on the MIND Dataset for Research on Diversity in News Recommendations

    • Sanne Vrijenhoek
    Pages 147-154

  14. Detecting and Measuring Social Bias of Arabic Generative Models in the Context of Search and Recommendation

    • Fouzi Harrag, Chaima Mahdadi, Amina Nourhane Ziad
    Pages 155-168

  15. What Are We Missing in Algorithmic Fairness? Discussing Open Challenges for Fairness Analysis in User Profiling with Graph Neural Networks

    • Erasmo Purificato, Ernesto William De Luca
    Pages 169-175

  16. Back Matter

    Pages 177-177
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Other volumes

  1. Advances in Bias and Fairness in Information Retrieval

Editors and Affiliations

  • University of Cagliari, Cagliari, Italy

    Ludovico Boratto, Mirko Marras

  • Sapienza University of Rome, Rome, Italy

    Stefano Faralli

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

    Giovanni Stilo

Bibliographic Information

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

  • Book Subtitle: 4th International Workshop, BIAS 2023, Dublin, Ireland, April 2, 2023, Revised Selected Papers

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

  • Series Title: Communications in Computer and Information Science

  • DOI: https://doi.org/10.1007/978-3-031-37249-0

  • Publisher: Springer Cham

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

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-37248-3Published: 15 July 2023

  • eBook ISBN: 978-3-031-37249-0Published: 14 July 2023

  • Series ISSN: 1865-0929

  • Series E-ISSN: 1865-0937

  • Edition Number: 1

  • Number of Pages: X, 177

  • Number of Illustrations: 6 b/w illustrations, 37 illustrations in colour

  • Topics: Computer Systems Organization and Communication Networks, Artificial Intelligence, e-Commerce/e-business

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