Advancing a Consent-Forward Paradigm for Digital Mental Health Data
Fuente:
arXiv
Guardado en:
| Autores principales: | Pendse, Sachin R., Stapleton, Logan, Kumar, Neha, De Choudhury, Munmun, Chancellor, Stevie |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
The Role of Partisan Culture in Mental Health Language Online
por: Pendse, Sachin R., et al.
Publicado: (2025)
por: Pendse, Sachin R., et al.
Publicado: (2025)
The Typing Cure: Experiences with Large Language Model Chatbots for Mental Health Support
por: Song, Inhwa, et al.
Publicado: (2024)
por: Song, Inhwa, et al.
Publicado: (2024)
Employing Social Media to Improve Mental Health Outcomes
por: De Choudhury, Munmun
Publicado: (2025)
por: De Choudhury, Munmun
Publicado: (2025)
When Testing AI Tests Us: Safeguarding Mental Health on the Digital Frontlines
por: Pendse, Sachin R., et al.
Publicado: (2025)
por: Pendse, Sachin R., et al.
Publicado: (2025)
A Framework for Situating Innovations, Opportunities, and Challenges in Advancing Vertical Systems with Large AI Models
por: Verma, Gaurav, et al.
Publicado: (2025)
por: Verma, Gaurav, et al.
Publicado: (2025)
FedMental: Evaluating Federated Learning for Mental Health Detection from Social Media Data
por: Abdelkadir, Nuredin Ali, et al.
Publicado: (2026)
por: Abdelkadir, Nuredin Ali, et al.
Publicado: (2026)
Measurement as Bricolage: Examining How Data Scientists Construct Target Variables for Predictive Modeling Tasks
por: Guerdan, Luke, et al.
Publicado: (2025)
por: Guerdan, Luke, et al.
Publicado: (2025)
AI as We Describe It: How Large Language Models and Their Applications in Health are Represented Across Channels of Public Discourse
por: Zhou, Jiawei, et al.
Publicado: (2025)
por: Zhou, Jiawei, et al.
Publicado: (2025)
Navigating the Rabbit Hole: Emergent Biases in LLM-Generated Attack Narratives Targeting Mental Health Groups
por: Magu, Rijul, et al.
Publicado: (2025)
por: Magu, Rijul, et al.
Publicado: (2025)
Supporters and Skeptics: LLM-based Analysis of Engagement with Mental Health (Mis)Information Content on Video-sharing Platforms
por: Nguyen, Viet Cuong, et al.
Publicado: (2024)
por: Nguyen, Viet Cuong, et al.
Publicado: (2024)
Responsible Evaluation of AI for Mental Health
por: Arnaout, Hiba, et al.
Publicado: (2026)
por: Arnaout, Hiba, et al.
Publicado: (2026)
Towards Experience-Centered AI: A Framework for Integrating Lived Experience in Design and Development
por: Gautam, Sanjana, et al.
Publicado: (2025)
por: Gautam, Sanjana, et al.
Publicado: (2025)
ExploreSelf: Fostering User-driven Exploration and Reflection on Personal Challenges with Adaptive Guidance by Large Language Models
por: Song, Inhwa, et al.
Publicado: (2024)
por: Song, Inhwa, et al.
Publicado: (2024)
Large Language Models for Mental Health: A Multilingual Evaluation
por: Raihan, Nishat, et al.
Publicado: (2026)
por: Raihan, Nishat, et al.
Publicado: (2026)
MythTriage: Scalable Detection of Opioid Use Disorder Myths on a Video-Sharing Platform
por: Jung, Hayoung, et al.
Publicado: (2025)
por: Jung, Hayoung, et al.
Publicado: (2025)
Nudging Consent and the New Opt Out System to the Processing of Health Data in England
por: Meszaros, Janos, et al.
Publicado: (2024)
por: Meszaros, Janos, et al.
Publicado: (2024)
What About the Scene with the Hitler Reference? HAUNT: A Framework to Probe LLMs' Self-consistency Via Adversarial Nudge
por: Dutta, Arka, et al.
Publicado: (2025)
por: Dutta, Arka, et al.
Publicado: (2025)
Follow the Rules (or Not): Community Norms and AI-Generated Support in Online Health Communities
por: Mittal, Shravika, et al.
Publicado: (2026)
por: Mittal, Shravika, et al.
Publicado: (2026)
Beyond the Individual: A Community-Engaged Framework for Ethical Online Community Research
por: Zent, Matthew, et al.
Publicado: (2025)
por: Zent, Matthew, et al.
Publicado: (2025)
Linguistic Comparison of AI- and Human-Written Responses to Online Mental Health Queries
por: Saha, Koustuv, et al.
Publicado: (2025)
por: Saha, Koustuv, et al.
Publicado: (2025)
Ownership and Flow Primitives for Scalable Consent Management in Digital Public Infrastructures
por: Vaidyanathan, Rohith, et al.
Publicado: (2025)
por: Vaidyanathan, Rohith, et al.
Publicado: (2025)
Who's Asking? Simulating Role-Based Questions for Conversational AI Evaluation
por: Kaur, Navreet, et al.
Publicado: (2025)
por: Kaur, Navreet, et al.
Publicado: (2025)
Barriers to Digital Mental Health Services among College Students
por: Cho, Ha Na, et al.
Publicado: (2025)
por: Cho, Ha Na, et al.
Publicado: (2025)
From Clicks to Consensus: Collective Consent Assemblies for Data Governance
por: Kyi, Lin, et al.
Publicado: (2026)
por: Kyi, Lin, et al.
Publicado: (2026)
Reasoning Is Not All You Need: Examining LLMs for Multi-Turn Mental Health Conversations
por: Chandra, Mohit, et al.
Publicado: (2025)
por: Chandra, Mohit, et al.
Publicado: (2025)
Exposure to Content Written by Large Language Models Can Reduce Stigma Around Opioid Use Disorder in Online Communities
por: Mittal, Shravika, et al.
Publicado: (2025)
por: Mittal, Shravika, et al.
Publicado: (2025)
Can AI be Consentful?
por: Pistilli, Giada, et al.
Publicado: (2025)
por: Pistilli, Giada, et al.
Publicado: (2025)
Privacy, Informed Consent and the Demand for Anonymisation of Smart Meter Data
por: Chhachhi, Saurab, et al.
Publicado: (2025)
por: Chhachhi, Saurab, et al.
Publicado: (2025)
Dark and Bright Patterns in Cookie Consent Requests
por: Graßl, Paul, et al.
Publicado: (2025)
por: Graßl, Paul, et al.
Publicado: (2025)
Global Patterns in Student Stress and Academic Performance: A Machine Learning Study Using PISA 2022
por: Ghazanchyan, Ani, et al.
Publicado: (2026)
por: Ghazanchyan, Ani, et al.
Publicado: (2026)
Into the Void: Understanding Online Health Information in Low-Web Data Languages
por: Nigatu, Hellina Hailu, et al.
Publicado: (2025)
por: Nigatu, Hellina Hailu, et al.
Publicado: (2025)
Privacy Discourse and Emotional Dynamics in Mental Health Information Interaction on Reddit
por: Kumar, Jai Kruthunz Naveen, et al.
Publicado: (2025)
por: Kumar, Jai Kruthunz Naveen, et al.
Publicado: (2025)
Lived Experience Not Found: LLMs Struggle to Align with Experts on Addressing Adverse Drug Reactions from Psychiatric Medication Use
por: Chandra, Mohit, et al.
Publicado: (2024)
por: Chandra, Mohit, et al.
Publicado: (2024)
Context-Aware Detection and Victim-Centered Response Generation for Online Harassment in Private Messaging
por: Lu, Pinxian, et al.
Publicado: (2025)
por: Lu, Pinxian, et al.
Publicado: (2025)
Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent Circumvention
por: Whitney, Cedric Deslandes, et al.
Publicado: (2024)
por: Whitney, Cedric Deslandes, et al.
Publicado: (2024)
Neither Consent nor Property: A Policy Lab for Data Law
por: Zhang, Haoyi, et al.
Publicado: (2025)
por: Zhang, Haoyi, et al.
Publicado: (2025)
Informed Consent: We Can Do Better to Defend Privacy
por: Borgesius, Frederik Zuiderveen
Publicado: (2025)
por: Borgesius, Frederik Zuiderveen
Publicado: (2025)
Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them?
por: Longpre, Shayne, et al.
Publicado: (2024)
por: Longpre, Shayne, et al.
Publicado: (2024)
What's on Your Mind? Exploring Privacy of Mental Health Apps
por: Georgiou, Chloe, et al.
Publicado: (2026)
por: Georgiou, Chloe, et al.
Publicado: (2026)
Digital Health Innovations for Screening and Mitigating Mental Health Impacts of Adverse Childhood Experiences: Narrative Review
por: White, Brianna M, et al.
Publicado: (2025)
por: White, Brianna M, et al.
Publicado: (2025)
Ejemplares similares
-
The Role of Partisan Culture in Mental Health Language Online
por: Pendse, Sachin R., et al.
Publicado: (2025) -
The Typing Cure: Experiences with Large Language Model Chatbots for Mental Health Support
por: Song, Inhwa, et al.
Publicado: (2024) -
Employing Social Media to Improve Mental Health Outcomes
por: De Choudhury, Munmun
Publicado: (2025) -
When Testing AI Tests Us: Safeguarding Mental Health on the Digital Frontlines
por: Pendse, Sachin R., et al.
Publicado: (2025) -
A Framework for Situating Innovations, Opportunities, and Challenges in Advancing Vertical Systems with Large AI Models
por: Verma, Gaurav, et al.
Publicado: (2025)