Gender and Racial Fairness in Depression Research using Social Media

18 March 2021

Papers citing "Gender and Racial Fairness in Depression Research using Social Media"

15 / 15 papers shown

Title
Machine Learning Fairness for Depression Detection using EEG Data Angus Man Ho Kwok Jiaee Cheong Sinan Kalkan Hatice Gunes 46 0 0 30 Jan 2025
Can AI Relate: Testing Large Language Model Response for Mental Health Support Saadia Gabriel Isha Puri Xuhai Xu Matteo Malgaroli Marzyeh Ghassemi LM&MA AI4MH 29 11 0 20 May 2024
Diverse Perspectives, Divergent Models: Cross-Cultural Evaluation of Depression Detection on Twitter Nuredin Ali Charles Zhang Ned Mayo Stevie Chancellor 29 2 0 01 Apr 2024
Towards Algorithmic Fidelity: Mental Health Representation across Demographics in Synthetic vs. Human-generated Data Shinka Mori Oana Ignat Andrew Lee Rada Mihalcea 45 2 0 25 Mar 2024
Learning for Counterfactual Fairness from Observational Data Jing Ma Ruocheng Guo Aidong Zhang Jundong Li FaML 16 11 0 17 Jul 2023
Transferring Fairness using Multi-Task Learning with Limited Demographic Information Carlos Alejandro Aguirre Mark Dredze 35 0 0 22 May 2023
Human Behavior in the Time of COVID-19: Learning from Big Data Hanjia Lyu Arsal Imtiaz Yufei Zhao Jiebo Luo 32 6 0 23 Mar 2023
The effects of gender bias in word embeddings on depression prediction Gizem Sogancioglu Heysem Kaya 24 3 0 15 Dec 2022
Using Open-Ended Stressor Responses to Predict Depressive Symptoms across Demographics Carlos Alejandro Aguirre Mark Dredze Philip Resnik 24 0 0 15 Nov 2022
Gendered Mental Health Stigma in Masked Language Models Inna Wanyin Lin Lucille Njoo Anjalie Field Ashish Sharma K. Reinecke Tim Althoff Yulia Tsvetkov AI4MH 39 22 0 27 Oct 2022
The Problem of Semantic Shift in Longitudinal Monitoring of Social Media: A Case Study on Mental Health During the COVID-19 Pandemic Keith Harrigian Mark Dredze 21 5 0 22 Jun 2022
Then and Now: Quantifying the Longitudinal Validity of Self-Disclosed Depression Diagnoses Keith Harrigian Mark Dredze 17 3 0 22 Jun 2022
Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health Andrew Lee Jonathan K. Kummerfeld Lawrence C. An Rada Mihalcea 38 23 0 28 Sep 2021
On the State of Social Media Data for Mental Health Research Keith Harrigian Carlos Alejandro Aguirre Mark Dredze AI4MH 8 49 0 10 Nov 2020
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,087 0 24 Oct 2016