The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality
As the COVID‐19 pandemic has largely increased the utilization of telehealth, mobile mental
health technologies–such as smartphone apps, virtual reality, chatbots, and social media …
health technologies–such as smartphone apps, virtual reality, chatbots, and social media …
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 …
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 …
[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 …
Charting the sociotechnical gap in explainable ai: A framework to address the gap in xai
Explainable AI (XAI) systems are sociotechnical in nature; thus, they are subject to the
sociotechnical gap-divide between the technical affordances and the social needs …
sociotechnical gap-divide between the technical affordances and the social needs …
" Did you suspect the post would be removed?" Understanding user reactions to content removals on Reddit
Thousands of users post on Reddit every day, but a fifth of all posts are removed. How do
users react to these removals? We conducted a survey of 907 Reddit users, asking them to …
users react to these removals? We conducted a survey of 907 Reddit users, asking them to …
Causalm: Causal model explanation through counterfactual language models
Understanding predictions made by deep neural networks is notoriously difficult, but also
crucial to their dissemination. As all machine learning–based methods, they are as good as …
crucial to their dissemination. As all machine learning–based methods, they are as good as …
Prevalence and psychological effects of hateful speech in online college communities
Background. Hateful speech bears negative repercussions and is particularly damaging in
college communities. The efforts to regulate hateful speech on college campuses pose …
college communities. The efforts to regulate hateful speech on college campuses pose …
Text and causal inference: A review of using text to remove confounding from causal estimates
KA Keith, D Jensen, B O'Connor - ar** review
Background Uncertainty surrounds the ethical and legal implications of algorithmic and data-
driven technologies in the mental health context, including technologies characterized as …
driven technologies in the mental health context, including technologies characterized as …