The Role of AI in Peer Support for Young People: A Study of Preferences for Human- and AI-Generated Responses
Jordyn Young, Laala M. Jawara, Diep N. Nguyen, Brian Daly, Jina Huh-Yoo, Afsaneh Razi
Abstract
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.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext db49f661-955f-4f66-bda0-4242db51dff5Cited by top-tier papers11
- How CO2STLY Is CHI? The Carbon Footprint of Generative AI in HCI Research and What We Should Do About ItNanna Inie, Jeanette Falk, Raghavendra SelvanCHI 2025 · 33 citations
- AI-induced sexual harassment: Investigating Contextual Characteristics and User Reactions of Sexual Harassment by a Companion ChatbotMohammad (Matt) Namvarpour, Harrison Pauwels, Afsaneh RaziCSCW 2025 · 29 citations
- CounselBench: A Large-Scale Expert Evaluation and Adversarial Benchmarking of Large Language Models in Mental Health Question AnsweringYahan Li, Jifan Yao, John Bosco S. Bunyi, Adam C. Frank et al.ICLR 2026 · 24 citations
- Understanding Teen Overreliance on AI Companion Chatbots Through Self-Reported Reddit NarrativesMohammad (Matt) Namvarpour, Brandon Brofsky, Jessica Y. Medina, Mamtaj Akter et al.CHI 2026 · 19 citations
- PeerEdu: Bootstrapping Online Learning Behaviors via Asynchronous Area of Interest Sharing from Peer GazeSonglin Xu, Dongyin Hu, Ru Wang, Xinyu ZhangCHI 2025 · 9 citations
Builds on8
- When the Social Becomes Non-Human: Young People's Perception of Social Support in ChatbotsPetter Bae Brandtzæg, Marita Skjuve, Kim Kristoffer Dysthe, Asbjørn FølstadCHI 2021 · 158 citations
- A Human-Centered Systematic Literature Review of the Computational Approaches for Online Sexual Risk DetectionAfsaneh Razi, Seunghyun Kim, Ashwaq Alsoubai, Gianluca Stringhini et al.CSCW 2021 · 93 citations
- Let's Talk about Sext: How Adolescents Seek Support and Advice about Their Online Sexual ExperiencesAfsaneh Razi, Karla A. Badillo-Urquiola, Pamela J. WisniewskiCHI 2020 · 88 citations
- Safe Sexting: The Advice and Support Adolescents Receive from Peers regarding Online Sexual RisksHeidi Hartikainen, Afsaneh Razi, Pamela J. WisniewskiCSCW 2021 · 59 citations
- Sliding into My DMs: Detecting Uncomfortable or Unsafe Sexual Risk Experiences within Instagram Direct Messages Grounded in the Perspective of YouthAfsaneh Razi, Ashwaq Alsoubai, Seunghyun Kim, Shiza Ali et al.CSCW 2023 · 51 citations
Related papers
- Investigating Self-injury Support Solicitations and Responses on a Mobile Peer Support ApplicationKaylee Payne Kruzan, Natalya N. Bazarova, Janis WhitlockCSCW 2021 · 15 citations
- "If This Person is Suicidal, What Do I Do?": Designing Computational Approaches to Help Online Volunteers Respond to SuicidalityLogan Stapleton, Sunniva Liu, Cindy Liu, Irene Hong et al.CHI 2024 · 15 citations
- Exploring Parent-Child Perceptions on Safety in Generative AI: Concerns, Mitigation Strategies, and Design ImplicationsYaman Yu, Tanusree Sharma, Melinda Hu, Justin Wang et al.S&P 2025
- Persuasiveness of Conversational Agents for Targeted Advertising: Autism and Gen-AI ChatbotsKirsten Chapman, Kaitlyn Klabacka, Garrett Smith, Xinru PageCSCW 2025
- ComPeer: A Generative Conversational Agent for Proactive Peer SupportTianjian Liu, Hongzheng Zhao, Yuheng Liu, Xingbo Wang et al.UIST 2024 · 27 citations
