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Found 11 papers, 3 papers with code
The Typing Cure: Experiences with Large Language Model Chatbots for Mental Health Support
People experiencing severe distress increasingly use Large Language Model (LLM) chatbots as mental health support tools.
Benefits and Harms of Large Language Models in Digital Mental Health
The past decade has been transformative for mental health research and practice.
Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries
Our findings underscore the pressing need to bolster the cross-lingual capacities of these models, and to provide an equitable information ecosystem accessible to all.
Using Audio Data to Facilitate Depression Risk Assessment in Primary Health Care
The objectives were to: 1) Collect audio data from 24 people (12 with depression and 12 without mental health or major health condition diagnoses); 2) Build a machine learning model to predict depression risk.
Understanding the Humans Behind Online Misinformation: An Observational Study Through the Lens of the COVID-19 Pandemic
The proliferation of online misinformation has emerged as one of the biggest threats to society.
ChatGPT and Bard Responses to Polarizing Questions
Broadly, our results indicated a left-leaning bias for both ChatGPT and Bard, with Bard more likely to provide responses around polarizing topics.
Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI
Utilizing two case studies in distinct domains, we empirically derive a framework that facilitates systematic charting of the sociotechnical gap by connecting AI guidelines in the context of XAI and elucidating how to use them to address the gap.
Overcoming Language Disparity in Online Content Classification with Multimodal Learning
Advances in Natural Language Processing (NLP) have revolutionized the way researchers and practitioners address crucial societal problems.
Latent Hatred: A Benchmark for Understanding Implicit Hate Speech
Hate speech has grown significantly on social media, causing serious consequences for victims of all demographics.
Jointly Predicting Job Performance, Personality, Cognitive Ability, Affect, and Well-Being
In this paper, we create a benchmark for predictive analysis of individuals from a perspective that integrates: physical and physiological behavior, psychological states and traits, and job performance.
#anorexia, #anarexia, #anarexyia: Characterizing Online Community Practices with Orthographic Variation
We also demonstrate the utility of orthographic variation as a new lens to study sociolinguistic change in online communities, particularly when the change results from an exogenous force such as a content ban.
