From the 1 of 18 linked papers with an AI index.
5 citations · 7 across the 8 of their papers we have counts for
18 papers
Thought Experiments for Conceptual Work: A New Application of a (Very) Old Method
Leah Hope Ajmani, Mo Houtti, Eric P. S. Baumer +1
The paper advocates using thought experiments as a methodological tool for HCI researchers to explore and critique conceptual commitments, highlighting their ability to reveal norm…
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…