[HTML][HTML] For better or for worse? A systematic review of the evidence on social media use and depression among lesbian, gay, and bisexual minorities
Background: Over 90% of adults in the United States have at least one social media
account, and lesbian, gay, and bisexual (LGB) persons are more socially active on social …
account, and lesbian, gay, and bisexual (LGB) persons are more socially active on social …
[HTML][HTML] Ethics and law in research on algorithmic and data-driven technology in mental health care: sco** 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 …
Social media and mental health: benefits, risks, and opportunities for research and practice
Social media has become a prominent fixture in the lives of many individuals facing the
challenges of mental illness. Social media refers broadly to web and mobile platforms that …
challenges of mental illness. Social media refers broadly to web and mobile platforms that …
A deep learning model for detecting mental illness from user content on social media
Users of social media often share their feelings or emotional states through their posts. In
this study, we developed a deep learning model to identify a user's mental state based on …
this study, we developed a deep learning model to identify a user's mental state based on …
Towards mutual theory of mind in human-ai interaction: How language reflects what students perceive about a virtual teaching assistant
Building conversational agents that can conduct natural and prolonged conversations has
been a major technical and design challenge, especially for community-facing …
been a major technical and design challenge, especially for community-facing …
Designing a chatbot as a mediator for promoting deep self-disclosure to a real mental health professional
Chatbots are becoming increasingly popular. One promising application for chatbots is to
elicit people's self-disclosure of their personal experiences, thoughts, and feelings. As …
elicit people's self-disclosure of their personal experiences, thoughts, and feelings. As …
Understanding and measuring psychological stress using social media
A body of literature has demonstrated that users' mental health conditions, such as
depression and anxiety, can be predicted from their social media language. There is still a …
depression and anxiety, can be predicted from their social media language. There is still a …
SMHD: a large-scale resource for exploring online language usage for multiple mental health conditions
Mental health is a significant and growing public health concern. As language usage can be
leveraged to obtain crucial insights into mental health conditions, there is a need for large …
leveraged to obtain crucial insights into mental health conditions, there is a need for large …
User perception and self-disclosure towards an AI psychotherapy chatbot according to the anthropomorphism of its profile picture
Studies have displayed that the favorable image of a psychotherapist increases the therapy
outcome by encouraging the self-disclosure of clients. Recently, in a situation where AI …
outcome by encouraging the self-disclosure of clients. Recently, in a situation where AI …
A social media study on the effects of psychiatric medication use
Understanding the effects of psychiatric medications during mental health treatment
constitutes an active area of inquiry. While clinical trials help evaluate the effects of these …
constitutes an active area of inquiry. While clinical trials help evaluate the effects of these …