25 citations · 75 across the 17 of their papers we have counts for
19 papers
Aligning with Lived Experience: Heterogeneous Benefits of Fine Tuning in Mental Health Support Generation
Mohit Chandra, Nabin Kim, Eli Min +3
As access to professional mental healthcare remains limited, many individuals turn to online platforms such as Reddit to seek peer support situated within human lived experience. H…
CliniCIRCA: A Modular LLM Framework for Constructing Longitudinal Mental Health Patient Journeys from Raw EHR Narratives
Aiwei Ivy Zhang, Nimra Ishfaq, Mohit Chandra +5
In mental health care, reasoning over patient journeys is a key task for clinicians. Yet these journeys, encompassing a longitudinal progression of biological, psychological, and s…
Participant-Mediated Collection of Sensitive Digital Trace Data: The CANDOR Research Infrastructure
Andrew Zhao, Rijul Magu, Ekta Raj +2
Digital trace data provide rich measures of behavior in everyday settings, but the research ecosystem supporting their collection is constrained by declining platform API access an…
From Analytics to Tumor Boards: An Evidence-Linked Multi-Agent Workflow for Oncology Feature Extraction
Daniel Kang, Michelle Hu, Soorya Ram Shimgekar +12
Clinically relevant oncology information is distributed across heterogeneous, longitudinal documentation, creating substantial abstraction burden and requiring accurate attribution…
CALM-IT: Enhancing Synthetic Motivational Interviewing Dialogue Quality with Conversational Dynamics
Viet Cuong Nguyen, Nhi Yen Nguyen, Kristin A. Candan +5
Conversational dynamics describe how rapport, emotion, and goals change over a dialogue. These changes are important in therapeutic conversations, where they can influence when and…
Context-Aware Detection and Victim-Centered Response Generation for Online Harassment in Private Messaging
Pinxian Lu, Nimra Ishfaq, Emma Win +5
Online harassment is a widespread social and public health concern, yet most computational approaches for detecting and addressing harassment focus on publicly visible social media…
AI as We Describe It: How Large Language Models and Their Applications in Health are Represented Across Channels of Public Discourse
Jiawei Zhou, Lei Zhang, Mei Li +2
Representation shapes public attitudes and behaviors. With the recent advances and rapid adoption of LLMs, the way these systems are introduced will negotiate societal expectations…
Echoes of Human Malice in Agents: Benchmarking LLMs for Multi-Turn Online Harassment Attacks
Trilok Padhi, Pinxian Lu, Abdulkadir Erol +5
Large Language Model (LLM) agents are powering a growing share of interactive web applications, yet remain vulnerable to misuse and harm. Prior jailbreak research has largely focus…
The Role of Partisan Culture in Mental Health Language Online
Sachin R. Pendse, Ben Rochford, Neha Kumar +1
The impact of culture on how people express distress in online support communities is increasingly a topic of interest within Computer Supported Cooperative Work (CSCW) and Human-C…
Communication styles and reader preferences of LLM- and human-authored COVID-19 information explanations: a case study
Jiawei Zhou, Kritika Venkatachalam, Minje Choi +2
With the wide adoption of large language models (LLMs) in information assistance, it is essential to examine their alignment with human communication styles and values. We situate…
Linguistic Comparison of AI- and Human-Written Responses to Online Mental Health Queries
Koustuv Saha, Yoshee Jain, Violeta J. Rodriguez +1
The ubiquity and widespread use of digital and online technologies have transformed mental health support, with online mental health communities (OMHCs) providing safe spaces for p…
ExploreSelf: Fostering User-driven Exploration and Reflection on Personal Challenges with Adaptive Guidance by Large Language Models
Inhwa Song, SoHyun Park, Sachin R. Pendse +3
Expressing stressful experiences in words is proven to improve mental and physical health, but individuals often disengage with writing interventions as they struggle to organize t…
Supporters and Skeptics: LLM-based Analysis of Engagement with Mental Health (Mis)Information Content on Video-sharing Platforms
Viet Cuong Nguyen, Mini Jain, Abhijat Chauhan +7
Over one in five adults in the US lives with a mental illness. In the face of a shortage of mental health professionals and offline resources, online short-form video content has g…
Advancing a Consent-Forward Paradigm for Digital Mental Health Data
Sachin R. Pendse, Logan Stapleton, Neha Kumar +2
The field of digital mental health is advancing at a rapid pace. Passively collected data from user engagements with digital tools and services continue to contribute new insights…
The Typing Cure: Experiences with Large Language Model Chatbots for Mental Health Support
Inhwa Song, Sachin R. Pendse, Neha Kumar +1
People experiencing severe distress increasingly use Large Language Model (LLM) chatbots as mental health support tools. Discussions on social media have described how engagements…
Benefits and Harms of Large Language Models in Digital Mental Health
Munmun De Choudhury, Sachin R. Pendse, Neha Kumar
The past decade has been transformative for mental health research and practice. The ability to harness large repositories of data, whether from electronic health records (EHR), mo…
Using Audio Data to Facilitate Depression Risk Assessment in Primary Health Care
Adam Valen Levinson, Abhay Goyal, Roger Ho Chun Man +7
Telehealth is a valuable tool for primary health care (PHC), where depression is a common condition. PHC is the first point of contact for most people with depression, but about 25…
Understanding the Humans Behind Online Misinformation: An Observational Study Through the Lens of the COVID-19 Pandemic
Mohit Chandra, Anush Mattapalli, Munmun De Choudhury
The proliferation of online misinformation has emerged as one of the biggest threats to society. Considerable efforts have focused on building misinformation detection models, stil…
Understanding and Mitigating Mental Health Misinformation on Video Sharing Platforms
Viet Cuong Nguyen, Michael Birnbaum, Munmun De Choudhury
Despite the ever-strong demand for mental health care globally, access to traditional mental health services remains severely limited expensive, and stifled by stigma and systemic…