Methods in predictive techniques for mental health status on social media: a critical review
Social media is now being used to model mental well-being, and for understanding health
outcomes. Computer scientists are now using quantitative techniques to predict the …
outcomes. Computer scientists are now using quantitative techniques to predict the …
Machine learning in mental health: A systematic review of the HCI literature to support the development of effective and implementable ML systems
High prevalence of mental illness and the need for effective mental health care, combined
with recent advances in AI, has led to an increase in explorations of how the field of machine …
with recent advances in AI, has led to an increase in explorations of how the field of machine …
Mentalbert: Publicly available pretrained language models for mental healthcare
Mental health is a critical issue in modern society, and mental disorders could sometimes
turn to suicidal ideation without adequate treatment. Early detection of mental disorders and …
turn to suicidal ideation without adequate treatment. Early detection of mental disorders and …
Examining the impact of sharing COVID-19 misinformation online on mental health
Misinformation about the COVID-19 pandemic proliferated widely on social media platforms
during the course of the health crisis. Experts have speculated that consuming …
during the course of the health crisis. Experts have speculated that consuming …
Detection of depression-related posts in reddit social media forum
Depression is viewed as the largest contributor to global disability and a major reason for
suicide. It has an impact on the language usage reflected in the written text. The key …
suicide. It has an impact on the language usage reflected in the written text. The key …
Natural language processing of social media as screening for suicide risk
Suicide is among the 10 most common causes of death, as assessed by the World Health
Organization. For every death by suicide, an estimated 138 people's lives are meaningfully …
Organization. For every death by suicide, an estimated 138 people's lives are meaningfully …
Detecting depression and mental illness on social media: an integrative review
Highlights•Mental illness is underdiagnosed but observable in online contexts.•
Characteristic language use patterns associated with depression have been identified and …
Characteristic language use patterns associated with depression have been identified and …
[HTML][HTML] Psychosocial effects of the COVID-19 pandemic: large-scale quasi-experimental study on social media
Background The COVID-19 pandemic has caused several disruptions in personal and
collective lives worldwide. The uncertainties surrounding the pandemic have also led to …
collective lives worldwide. The uncertainties surrounding the pandemic have also led to …
Social data: Biases, methodological pitfalls, and ethical boundaries
Social data in digital form—including user-generated content, expressed or implicit relations
between people, and behavioral traces—are at the core of popular applications and …
between people, and behavioral traces—are at the core of popular applications and …