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 /
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...
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| Other Authors: | , , , |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2021.
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| Edition: | 1st ed. 2021. |
| Series: | Communications in Computer and Information Science,
1418 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-030-78818-6 |
Table of Contents:
- Towards Fairness-Aware Ranking by Defining Latent Groups Using Inferred Features
- Media Bias Everywhere? A Vision for Dealing with the Manipulation of Public Opinion
- Users' Perception of Search-Engine Biases and Satisfaction
- Preliminary Experiments to Examine the Stability of Bias-Aware Techniques
- Detecting Race and Gender Bias in Visual Representation of AI on Web Search Engines
- Equality of Opportunity in Ranking: A Fair-Distributive Model
- Incentives for Item Duplication under Fair Ranking Policies
- Quantification of the Impact of Popularity Bias in Multi-Stakeholder and Time-Aware Environment
- When is a Recommendation Model Wrong? A Model-Agnostic Tree-Based Approach to Detecting Biases in Recommendations
- Evaluating Video Recommendation Bias on YouTube
- An Information-Theoretic Measure for Enabling Category Exemptions with an Application to Filter Bubbles
- Perception-Aware Bias Detection for Query Suggestions
- Crucial Challenges in Large-Scale Black Box Analyses
- New Performance Metrics for Offline Content-based TV Recommender Systems.