Digital mental health for young people: a scoping review of ethical promises and challenges
Mental health disorders are complex disorders of the nervous system characterized by a
behavioral or mental pattern that causes significant distress or impairment of personal …
behavioral or mental pattern that causes significant distress or impairment of personal …
Text-based depression detection on social media posts: A systematic literature review
D William, D Suhartono - Procedia Computer Science, 2021 - Elsevier
Due to the huge increase of awareness of mental health well-being, the detection of mental
illness itself is starting to become a huge concern. Many psychiatrists found difficulties in …
illness itself is starting to become a huge concern. Many psychiatrists found difficulties in …
Standardizing reporting of participant compensation in HCI: A systematic literature review and recommendations for the field
The user study is a fundamental method used in HCI. In designing user studies, we often
use compensation strategies to incentivize recruitment. However, compensation can also …
use compensation strategies to incentivize recruitment. However, compensation can also …
“Laughing so I don't cry”: How TikTok users employ humor and compassion to connect around psychiatric hospitalization
Today's youth face many mental health challenges and are increasingly represented in
psychiatric hospitalizations. Scholars have sought to understand social media's role in …
psychiatric hospitalizations. Scholars have sought to understand social media's role in …
[PDF][PDF] Reddit social media text analysis for depression prediction: using logistic regression with enhanced term frequency-inverse document frequency features.
MMT Ayyalasomayajula, A Agarwal… - International Journal of …, 2024 - researchgate.net
Language provides significant insights into an individual's emotional state, social status, and
personality traits. This research aims to enhance depression detection through the analysis …
personality traits. This research aims to enhance depression detection through the analysis …
" Do You Ladies Relate?": Experiences of Gender Diverse People in Online Eating Disorder Communities
The study of eating disorders online has a long tradition within CSCW and HCI scholarship.
Research within this body of work highlights the types of content people with eating …
Research within this body of work highlights the types of content people with eating …
Logging on, reaching out, and getting by: A review of self-reported Psychosocial impacts of online peer support for people impacted by cancer
KR Allison, P Patterson, D Guilbert, M Noke… - Proceedings of the …, 2021 - dl.acm.org
For individuals impacted by their own or a family member's cancer, connecting with other
people in similar situations can be an invaluable source of informational and emotional …
people in similar situations can be an invaluable source of informational and emotional …
Discussing social media during psychotherapy consultations: patient narratives and privacy implications
Social media platforms are being utilized by individuals with mental illness for engaging in
self-disclosure, finding support, or navigating treatment journeys. Individuals also …
self-disclosure, finding support, or navigating treatment journeys. Individuals also …
Charting the unknown: Challenges in the clinical assessment of patients' technology use related to eating disorders
A growing body of research in HCI focuses on understanding how social media and other
social technologies impact a given user's mental health, including eating disorders. In this …
social technologies impact a given user's mental health, including eating disorders. In this …
Disordering Datasets: Sociotechnical Misalignments in AI-Mediated Behavioral Health
V Mathur, C Lustig, E Kaziunas - Proceedings of the ACM on Human …, 2022 - dl.acm.org
The application of artificial intelligence (AI) to the behavioral health domain has led to a
growing interest in the use of machine learning (ML) techniques to identify patterns in …
growing interest in the use of machine learning (ML) techniques to identify patterns in …