Algorithmic Portrayals of Mental Health Stigma
Quantifying the Gap Between AI Estimations and Human Perceptions Across Gender Groups Using GPT-Based LLMs
Bibliographic Data
| ID | 24214256 |
|---|---|
| Authors | Soojong Kim (0000-0002-1334-5310), H M Kim (0000-0002-7903-9009), Kwanho Kim (0000-0003-1504-8667), Dongdong Zhu (0000-0002-8495-5626) |
| Year | 2026 |
| Pages | 119855 |
| Publication date | 2026-10-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Science & Medicine (JOURNAL) |
| Journal identifiers | ISSN: 0277-9536 • E-ISSN: 1873-5347 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.socscimed.2026.119855 |
| OpenAlex | W7215044662 |
| Language | EN |
| References cited | 55 |
algorithmic bias · gender differences · GPT · human perception · large language models · mental health stigma · stigma measurement · Artificial Intelligence in Healthcare and Education · Ethics and Social Impacts of AI · Mental Health Treatment and Access
Racial disparities in automated speech recognition
Age, gender, and the underutilization of mental health services
Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data
What is the impact of mental health-related stigma on help-seeking? A systematic review of quantitative and qualitative studies
Barriers to help-seeking by men
Word embeddings quantify 100 years of gender and ethnic stereotypes
Artificial Intelligence, Values, and Alignment
Reliability and validity of the Attitudes Toward Seeking Professional Psychological Help Scale-Short Form
Estimating the true global burden of mental illness
Challenging the Public Stigma of Mental Illness
Trends in Public Stigma of Mental Illness in the US, 1996-2018
Recent increases in depressive symptoms among US adolescents
Fair Prediction with Disparate Impact
The role of masculinity in men's help-seeking for depression
AI in health and medicine
Dissecting racial bias in an algorithm used to manage the health of populations
A Call to Action on Assessing and Mitigating Bias in Artificial Intelligence Applications for Mental Health
Conceptualizing and measuring mental illness stigma
How Algorithms Discriminate Based on Data They Lack
How do attitudes toward mental health treatment vary by age, gender, and ethnicity/race in young adults
Men, masculinity, and the contexts of help seeking
Constructions of masculinity and their influence on men's well-being
Of Fear and Loathing
An Attribution Model of Public Discrimination Towards Persons with Mental Illness
Examining the impact of race/ethnicity and gender intersectionality on preferences of social distance from individuals with mental health conditions
| Highly cited | No |
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