49 citations · 227 across the 18 of their papers we have counts for
6 papers · 1 filter
A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support
Ashish Sharma, Adam S. Miner, David C. Atkins +1
Empathy is critical to successful mental health support. Empathy measurement has predominantly occurred in synchronous, face-to-face settings, and may not translate to asynchronous…
CORAL: COde RepresentAtion Learning with Weakly-Supervised Transformers for Analyzing Data Analysis
Ge Zhang, Mike A. Merrill, Yang Liu +2
Large scale analysis of source code, and in particular scientific source code, holds the promise of better understanding the data science process, identifying analytical best pract…
Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications
Jina Suh, Eric Horvitz, Ryen W. White +1
Most work to date on mitigating the COVID-19 pandemic is focused urgently on biomedicine and epidemiology. Yet, pandemic-related policy decisions cannot be made on health informati…
Boba: Authoring and Visualizing Multiverse Analyses
Yang Liu, Alex Kale, Tim Althoff +1
Multiverse analysis is an approach to data analysis in which all "reasonable" analytic decisions are evaluated in parallel and interpreted collectively, in order to foster robustne…
The Effect of Moderation on Online Mental Health Conversations
David Wadden, Tal August, Qisheng Li +1
Many people struggling with mental health issues are unable to access adequate care due to high costs and a shortage of mental health professionals, leading to a global mental heal…
Engagement Patterns of Peer-to-Peer Interactions on Mental Health Platforms
Ashish Sharma, Monojit Choudhury, Tim Althoff +1
Mental illness is a global health problem, but access to mental healthcare resources remain poor worldwide. Online peer-to-peer support platforms attempt to alleviate this fundamen…