Fairness and Bias in Truth Discovery Algorithms: An Experimental Analysis

25 April 2023

Papers citing "Fairness and Bias in Truth Discovery Algorithms: An Experimental Analysis"

5 / 5 papers shown

Title
Learning From Crowdsourced Noisy Labels: A Signal Processing Perspective Shahana Ibrahim Panagiotis A. Traganitis Xiao Fu G. Giannakis NoLa 37 1 0 09 Jul 2024
Chameleon: Foundation Models for Fairness-aware Multi-modal Data Augmentation to Enhance Coverage of Minorities Mahdi Erfanian H. V. Jagadish Abolfazl Asudeh 31 3 0 02 Feb 2024
Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers Kenny Peng Arunesh Mathur Arvind Narayanan 99 93 0 06 Aug 2021
Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing Boaz Shmueli Jan Fell Soumya Ray Lun-Wei Ku 108 86 0 20 Apr 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,203 0 23 Aug 2019