179 citations · 269 across the 25 of their papers we have counts for
8 papers · 1 filter
Thought Experiments for Conceptual Work: A New Application of a (Very) Old Method
Leah Hope Ajmani, Mo Houtti, Eric P. S. Baumer +1
In this paper, we propose thought experiments (TEs) as a crucial method for Human-Computer Interaction (HCI) researchers to engage in conceptual work. As an interdisciplinary field…
Mental Health Disorder Detection Beyond Social Media: A Systematic Review of Available Datasets
Sadiya Sayara Chowdhury Puspo, Ana-Maria Bucur, Stevie Chancellor +2
Detecting mental health disorders in a timely manner is an important societal challenge. NLP and machine learning (ML) methods used to assist with detection rely on data collected…
FedMental: Evaluating Federated Learning for Mental Health Detection from Social Media Data
Nuredin Ali Abdelkadir, Anjali Ratnam, Zeerak Talat +1
Social media text data are often used to train Machine Learning (ML) models to identify users exhibiting high-risk mental health behaviors. However, sharing this sensitive data pos…
Characterizing Delusional Spirals through Human-LLM Chat Logs
Jared Moore, Ashish Mehta, William Agnew +11
As large language models (LLMs) have proliferated, disturbing anecdotal reports of negative psychological effects, such as delusions, self-harm, and ``AI psychosis,'' have emerged…
Beyond Content Exposure: Systemic Factors Driving Moderators' Mental Health Crisis in Africa
Nuredin Ali Abdelkadir, Tianling Yang, Shivani Kapania +6
Content moderators review disturbing content to protect social media users, often at significant cost to their mental health. Recent reports document the mental health conditions o…
Unraveling Entangled Feeds: Rethinking Social Media Design to Enhance User Well-being
Ashlee Milton, Dan Runningen, Loren Terveen +2
Social media platforms have rapidly adopted algorithmic curation with little consideration for the potential harm to users' mental well-being. We present findings from design works…
Large Language Models for Mental Health: A Multilingual Evaluation
Nishat Raihan, Sadiya Sayara Chowdhury Puspo, Ana-Maria Bucur +2
Large Language Models (LLMs) have remarkable capabilities across NLP tasks. However, their performance in multilingual contexts, especially within the mental health domain, has not…
Opportunities and Barriers for AI Feedback on Meeting Inclusion in Socioorganizational Teams
Mo Houtti, Moyan Zhou, Daniel Runningen +5
Inclusion is important for meeting effectiveness, which is in turn central to organizational functioning. One way of improving inclusion in meetings is through feedback, but social…