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Gender and Racial Fairness in Depression Research using Social Media

Gender and Racial Fairness in Depression Research using Social Media

Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
18 March 2021
Carlos Alejandro Aguirre
Keith Harrigian
Mark Dredze
ArXiv (abs)PDFHTML

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

10 / 10 papers shown
A Survey on Multilingual Mental Disorders Detection from Social Media Data
A Survey on Multilingual Mental Disorders Detection from Social Media Data
Ana-Maria Bucur
Marcos Zampieri
Tharindu Ranasinghe
Fabio Crestani
255
4
0
21 May 2025
Machine Learning Fairness for Depression Detection using EEG Data
Machine Learning Fairness for Depression Detection using EEG DataIEEE International Symposium on Biomedical Imaging (ISBI), 2025
Angus Man Ho Kwok
Jiaee Cheong
Sinan Kalkan
Hatice Gunes
303
9
0
30 Jan 2025
Can AI Relate: Testing Large Language Model Response for Mental Health
  Support
Can AI Relate: Testing Large Language Model Response for Mental Health Support
Saadia Gabriel
Isha Puri
Xuhai Xu
Matteo Malgaroli
Elisa Kreiss
LM&MAAI4MH
352
37
0
20 May 2024
The effects of gender bias in word embeddings on depression prediction
The effects of gender bias in word embeddings on depression prediction
Gizem Sogancioglu
Heysem Kaya
162
3
0
15 Dec 2022
Using Open-Ended Stressor Responses to Predict Depressive Symptoms
  across Demographics
Using Open-Ended Stressor Responses to Predict Depressive Symptoms across Demographics
Carlos Alejandro Aguirre
Mark Dredze
Philip Resnik
185
0
0
15 Nov 2022
Gendered Mental Health Stigma in Masked Language Models
Gendered Mental Health Stigma in Masked Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Inna Wanyin Lin
Lucille Njoo
Anjalie Field
Ashish Sharma
K. Reinecke
Tim Althoff
Yulia Tsvetkov
AI4MH
296
32
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
The Problem of Semantic Shift in Longitudinal Monitoring of Social Media: A Case Study on Mental Health During the COVID-19 PandemicWeb Science Conference (WebSci), 2022
Keith Harrigian
Mark Dredze
215
7
0
22 Jun 2022
Then and Now: Quantifying the Longitudinal Validity of Self-Disclosed
  Depression Diagnoses
Then and Now: Quantifying the Longitudinal Validity of Self-Disclosed Depression DiagnosesWorkshop on Computational Linguistics and Clinical Psychology (CLPsych), 2022
Keith Harrigian
Mark Dredze
316
4
0
22 Jun 2022
Micromodels for Efficient, Explainable, and Reusable Systems: A Case
  Study on Mental Health
Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health
Andrew Lee
Jonathan K. Kummerfeld
Lawrence C. An
Amélie Reymond
323
26
0
28 Sep 2021
On the State of Social Media Data for Mental Health Research
On the State of Social Media Data for Mental Health Research
Keith Harrigian
Carlos Alejandro Aguirre
Mark Dredze
AI4MH
416
62
0
10 Nov 2020
1
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