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Fairness-Aware PageRank
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Fairness-Aware PageRank (2021)Fairness-Aware PageRankA Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…InFoRM: Individual Fairness on Graph Mining (2020)InFoRM: Individual Fairness o…Bursting the Filter Bubble: Fairness-Aware Network Link Prediction (2020)Bursting the Filter Bubble: F…Fairwalk: Towards Fair Graph Embedding (2019)Fairwalk: Towards Fair Graph …Fairness in Recommendation Ranking through Pairwise Comparisons (2019)Fairness in Recommendation Ra…A comparative study of fairness-enhancing interventions in machine learning (2019)A comparative study of fairne…Fairness of Exposure in Rankings (2018)Fairness of Exposure in Ranki…Equity of Attention (2018)Equity of AttentionAlgorithmic Glass Ceiling in Social Networks (2018)Algorithmic Glass Ceiling in …Measuring Fairness in Ranked Outputs (2017)Measuring Fairness in Ranked …FA*IR (2017)FA*IRCertifying and Removing Disparate Impact (2015)Certifying and Removing Dispa…Fairness through awareness (2012)Fairness through awarenessThe political blogosphere and the 2004 U.S. election (2005)The political blogosphere and…Fairness amidst non‐IID graph data: A literature review (2025)Fairness amidst non‐IID graph…FairSNA: Algorithmic Fairness in Social Network Analysis (2024)FairSNA: Algorithmic Fairness…Fairness-aware Methods in Rankings and Recommenders (2021)Fairness-aware Methods in Ran…Fairness in Rankings and Recommenders: Models, Methods and Research Directions (2021)Fairness in Rankings and Reco…Fair Graph Mining (2021)Fair Graph MiningUniform Guidelines on Employee Selection Procedures (2007)European Union Regulations on Algorithmic Decision Making and a “Right to Explanation” (2017)Incorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)Learning Fair Representations (2013)Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search (2019)A snapshot of the frontiers of fairness in machine learning (2020)Big Data's Disparate Impact (2014)Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2017)Designing Fair Ranking Schemes (2019)iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making (2019)Equality of Opportunity in Supervised Learning (2016)A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle (2021)A Review on Fairness in Machine Learning (2022)Trustworthy AI: From Principles to Practices (2022)Mitigating Unwanted Biases with Adversarial Learning (2018)An empirical characterization of fair machine learning for clinical risk prediction (2020)Reducing Disparate Exposure in Ranking: A Learning To Rank Approach (2020)Fairness in recommender systems: research landscape and future directions (2023)Semantics derived automatically from language corpora contain human-like biases (2017)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Algorithmic Bias in Education (2021)Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)A Taxonomy of Organizational Justice Theories (1987)Bias in Bios (2019)Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment (2010)Media and Political Polarization (2013)Tweeting From Left to Right (2015)
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References

  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
  • 2012Fairness through awareness3,501 cited
  • 2005The political blogosphere and the 2004 U.S. election2,611 cited
  • 2015Certifying and Removing Disparate Impact1,827 cited
  • 2018Fairness of Exposure in Rankings607 cited
  • 2019A comparative study of fairness-enhancing interventions in machine learning601 cited
  • 2017FA*IR497 cited
  • 2017Measuring Fairness in Ranked Outputs378 cited
  • 2019Fairness in Recommendation Ranking through Pairwise Comparisons369 cited
  • 2018Equity of Attention337 cited
  • 2019Fairwalk: Towards Fair Graph Embedding163 cited
  • 2020InFoRM: Individual Fairness on Graph Mining113 cited
  • 2018Algorithmic Glass Ceiling in Social Networks90 cited
  • 2020Bursting the Filter Bubble: Fairness-Aware Network Link Prediction82 cited

Cited by

  • 2024FairSNA: Algorithmic Fairness in Social Network Analysis33 cited
  • 2025Fairness amidst non‐IID graph data: A literature review29 cited

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  • 2021Fair Graph Mining22 cited
  • 2021Fairness in Rankings and Recommenders: Models, Methods and Research Directions18 cited
  • 2021Fairness-aware Methods in Rankings and Recommenders18 cited