160 citations · 862 across the 27 of their papers we have counts for
3 papers · 1 filter
Inequality and Inequity in Network-based Ranking and Recommendation Algorithms
Lisette Espín-Noboa, Claudia Wagner, Markus Strohmaier +1
Though algorithms promise many benefits including efficiency, objectivity and accuracy, they may also introduce or amplify biases. Here we study two well-known algorithms, namely P…
How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs?
Indira Sen, Mattia Samory, Fabian Floeck +2
As NLP models are increasingly deployed in socially situated settings such as online abusive content detection, it is crucial to ensure that these models are robust. One way of imp…
The FairCeptron: A Framework for Measuring Human Perceptions of Algorithmic Fairness
Georg Ahnert, Ivan Smirnov, Florian Lemmerich +2
Measures of algorithmic fairness often do not account for human perceptions of fairness that can substantially vary between different sociodemographics and stakeholders. The FairCe…