AI in health: state of the art, challenges, and future directions

F Wang, A Preininger - Yearbook of medical informatics, 2019 - thieme-connect.com
Introduction: Artificial intelligence (AI) technologies continue to attract interest from a broad
range of disciplines in recent years, including health. The increase in computer hardware …

Suicidal ideation detection: A review of machine learning methods and applications

S Ji, S Pan, X Li, E Cambria, G Long… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Suicide is a critical issue in modern society. Early detection and prevention of suicide
attempts should be addressed to save people's life. Current suicidal ideation detection (SID) …

[HTML][HTML] Psychosocial effects of the COVID-19 pandemic: large-scale quasi-experimental study on social media

K Saha, J Torous, ED Caine… - Journal of medical internet …, 2020 - jmir.org
Background The COVID-19 pandemic has caused several disruptions in personal and
collective lives worldwide. The uncertainties surrounding the pandemic have also led to …

Beyond screen time: Identity development in the digital age

I Granic, H Morita, H Scholten - Psychological Inquiry, 2020 - Taylor & Francis
We are in the midst of a global transition in which digital “screens” are no longer simply
entertainment devices and distractions; rather, adolescents are currently living in a hybrid …

Using social media for mental health surveillance: a review

R Skaik, D Inkpen - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
Data on social media contain a wealth of user information. Big data research of social media
data may also support standard surveillance approaches and provide decision-makers with …

Depression and self-harm risk assessment in online forums

A Yates, A Cohan, N Goharian - arxiv preprint arxiv:1709.01848, 2017 - arxiv.org
Users suffering from mental health conditions often turn to online resources for support,
including specialized online support communities or general communities such as Twitter …

Social support, reciprocity, and anonymity in responses to sexual abuse disclosures on social media

N Andalibi, OL Haimson, MD Choudhury… - ACM Transactions on …, 2018 - dl.acm.org
Seeking and providing support is challenging. When people disclose sensitive information,
audience responses can substantially impact the discloser's wellbeing. We use mixed …

A taxonomy of ethical tensions in inferring mental health states from social media

S Chancellor, ML Birnbaum, ED Caine… - Proceedings of the …, 2019 - dl.acm.org
Powered by machine learning techniques, social media provides an unobtrusive lens into
individual behaviors, emotions, and psychological states. Recent research has successfully …

Language left behind on social media exposes the emotional and cognitive costs of a romantic breakup

S Seraj, KG Blackburn… - Proceedings of the …, 2021 - National Acad Sciences
Using archived social media data, the language signatures of people going through
breakups were mapped. Text analyses were conducted on 1,027,541 posts from 6,803 …

Machine classification and analysis of suicide-related communication on twitter

P Burnap, W Colombo, J Scourfield - … of the 26th ACM conference on …, 2015 - dl.acm.org
The World Wide Web, and online social networks in particular, have increased connectivity
between people such that information can spread to millions of people in a matter of …