AIMC Topic: Social Stigma

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Exploring mental health literacy on twitter: A machine learning approach.

Journal of affective disorders
OBJECTIVES: This study investigates whether reducing mental illness stigma, enhancing help-seeking efficacy, and maintaining positive mental health mediate the relationship between the recognition of mental disorders and help-seeking attitudes.

Stigmatisation of gambling disorder in social media: a tailored deep learning approach for YouTube comments.

Harm reduction journal
BACKGROUND: The stigmatisation of gamblers, particularly those with a gambling disorder, and self-stigmatisation are considered substantial barriers to seeking help and treatment. To develop effective strategies to reduce the stigma associated with g...

Investigating Whether AI Will Replace Human Physicians and Understanding the Interplay of the Source of Consultation, Health-Related Stigma, and Explanations of Diagnoses on Patients' Evaluations of Medical Consultations: Randomized Factorial Experiment.

Journal of medical Internet research
BACKGROUND: The increasing use of artificial intelligence (AI) in medical diagnosis and consultation promises benefits such as greater accuracy and efficiency. However, there is little evidence to systematically test whether the ideal technological p...

The help-seeking process and predictors of mental health care use among individuals with depressive symptoms: a machine learning approach.

Frontiers in public health
PURPOSE: The goal of the study was to identify the most important influences on professional healthcare use of people with depressive symptoms. We incorporated findings from research areas of health behaviors, stigma, and motivation to predict the he...

AI Shaming: The Silent Stigma among Academic Writers and Researchers.

Annals of biomedical engineering
AI shaming refers to the practice of criticizing or looking down on individuals or organizations for using AI to generate content or perform tasks. AI shaming has emerged as a recent phenomenon in academia. This paper examines the characteristics, ca...

Artificial intelligence and the future of psychiatry: Insights from a global physician survey.

Artificial intelligence in medicine
BACKGROUND: Futurists have predicted that new autonomous technologies, embedded with artificial intelligence (AI) and machine learning (ML), will lead to substantial job losses in many sectors disrupting many aspects of healthcare. Mental health appe...

[Medial Stigmatization of Mentally Ill Persons after the "Germanwings"-Crash].

Psychiatrische Praxis
OBJECTIVE: The present study was designed to investigate the frequency of media stigmatization of mentally ill persons after the crash of the "Germanwings"-aircraft on March 2015.

Changes in depression stigma after the Germanwings crash - Findings from German population surveys.

Journal of affective disorders
BACKGROUND: Media coverage of the Germanwings plane crash intensely focused on the co-pilot's mental illness and was criticized for potentially increasing depression stigma. We explored whether stigma beliefs towards persons with depression changed i...

Stigma Attitudes Toward HIV/AIDS From 2011 Through 2023 in Japan: Retrospective Study in Japan.

Journal of medical Internet research
BACKGROUND: Stigma associated with HIV/AIDS continues to be a major barrier to prevention, management, and care. HIV stigma can negatively influence health behaviors. Surveys of the general public in Japan also demonstrated substantial gaps in knowle...

Unveiling Public Stigma for Borderline Personality Disorder: A Comparative Study of Artificial Intelligence and Mental Health Care Providers.

Personality and mental health
Generative artificial intelligence (GAI) programs can identify symptoms and make recommendations for treatment for mental disorders, including borderline personality disorder (BPD). Despite GAI's potential as a clinical tool, stereotypes are inherent...