mlsanityData to 14 Oct 2026

The Role of AI in Peer Support for Young People: A Study of Preferences for Human- and AI-Generated Responses

arXiv 2405.02711 ↗First posted 4 May 2024cs.HC cs.AIcited by 15

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Abstract (arXiv)

Generative Artificial Intelligence (AI) is integrated into everyday technology, including news, education, and social media. AI has further pervaded private conversations as conversational partners, auto-completion, and response suggestions. As social media becomes young people's main method of peer support exchange, we need to understand when and how AI can facilitate and assist in such exchanges in a beneficial, safe, and socially appropriate way. We asked 622 young people to complete an online survey and evaluate blinded human- and AI-generated responses to help-seeking messages. We found that participants preferred the AI-generated response to situations about relationships, self-expression, and physical health. However, when addressing a sensitive topic, like suicidal thoughts, young people preferred the human response. We also discuss the role of training in online peer support exchange and its implications for supporting young people's well-being. Disclaimer: This paper includes sensitive topics, including suicide ideation. Reader discretion is advised.

Key facts. Cited by 15 papers in the map (data through 14 Oct 2026). Builds on 5 of its 96 references that are in the map. First posted on arXiv 4 May 2024.

Builds on

5 of 96 references.

References · 5

  1. 2022Human-AI Collaboration Enables More Empathic Conversations in Text-based Peer-to-Peer Mental Health Supportcited by 68
  2. 2023Do LLMs Possess a Personality? Making the MBTI Test an Amazing Evaluation for Large Language Modelscited by 56
  3. 2020Artificial Intelligence is stupid and causal reasoning won't fix itcited by 20
  4. 2023ChatGPT as a Therapist Assistant: A Suitability Studycited by 8
  5. 2023Perceived Trustworthiness of Natural Language Generatorscited by 4

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 1; 2025: 7; 2026: 7.

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  1. 2025CounselBench: A Large-Scale Expert Evaluation and Adversarial Benchmarking of Large Language Models in Mental Health Question Answeringcited by 21
  2. 2025Understanding Teen Overreliance on AI Companion Chatbots Through Self-Reported Reddit Narrativescited by 12
  3. 2025AI-induced sexual harassment: Investigating Contextual Characteristics and User Reactions of Sexual Harassment by a Companion Chatbotcited by 5
  4. 2025Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedbackcited by 2
  5. 2026Like a Therapist, But Not: Reddit Narratives of AI in Mental Health Contextscited by 2
  6. 2026AI-Associated Lexical Shifts Across 34 Languages: Cross-Lingual Convergence and Diachronic Uptake in News Writingcited by 2
  7. 2024Therapy as an NLP Task: Comparing LLMs and Human Peers Behaviors in CBT Sessionscited by 1
  8. 2026Chaplains' Reflections on the Design and Usage of AI for Conversational Carecited by 1
  9. 2025"Is This Really a Human Peer Supporter?": Misalignments Between Peer Supporters and Experts in LLM-Supported Interactionscited by 0
  10. 2025"I Said Things I Needed to Hear Myself": Peer Support as an Emotional, Organisational, and Sociotechnical Practice in Singaporecited by 0
  11. 2025Investigating AI in Peer Support via Multi-Module System-Driven Embodied Conversational Agentscited by 0
  12. 2026Culturally Situated AI Safety for Youth: Saudi Arabian Perspectives of Youth, Parents and Teacherscited by 0
3 more
  1. 2026Towards Emotion Consistency Analysis of Large Language Models in Emotional Conversational Contextscited by 0
  2. 2026TA-RAG: Tone-Aware Retrieval-Augmented Generation for Peer-Support Health Communicationcited by 0
  3. 2026Right Words, Wrong Moment: A Clinician-Grounded Analysis of Distress in 19,930 Conversations between Young People and ChatGPTcited by 0