most citedInterpersonal Theory of Suicide as a Lens to Examine Suicidal Ideation in Online Spaces

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cs.HC2026

Risk and Refusal: Mechanisms of LLM Responses to Suicidal Ideation

Drishti Goel, Soorya Ram Shimgekar, Jeongah Lee +4

Refusal is a common safety mechanism in large language models (LLMs), yet in contexts of suicidal ideation (SI), refusing to engage can itself constitute a safety failure. We evalu…

cs.HC2026

PeerPen: AI-Assisted Writing for Online Mental Health Peer Support

Jiwon Kim, Sherry Gong, Maya Ajit +5

Online mental health communities thrive on peer support, yet those who volunteer to help often lack formal training and may struggle to articulate supportive responses. AI co-writi…

cs.HC2026

LLUMI: Improving LLM Writing Assistance for Mental Health Support with Online Community Feedback

Jiwon Kim, Maya Ajit, Sherry Gong +4

Large language models (LLMs) show promise in generating supportive responses for mental health queries, but improving their usefulness, empathy, and safety often requires substanti…

cs.HC2026

AI Psychosis: Does Conversational AI Amplify Delusion-Related Language?

Soorya Ram Shimgekar, Vipin Gunda, Jiwon Kim +3

Conversational AI systems are increasingly used for personal reflection and emotional disclosure, raising concerns about their effects on vulnerable users. Recent anecdotal reports…

cs.HC2025★ 1 cited

Interpersonal Theory of Suicide as a Lens to Examine Suicidal Ideation in Online Spaces

Soorya Ram Shimgekar, Violeta J. Rodriguez, Paul A. Bloom +2

Suicide is a critical global public health issue, with millions experiencing suicidal ideation (SI) each year. Online spaces enable individuals to express SI and seek peer support.…