The Role of AI in Peer Support for Young People: A Study of Preferences for Human- and AI-Generated Responses
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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.
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Generative AI models are increasingly achieving or surpassing human performance benchmarks in various domains, including medical diagnostic dialogue, persuasive communication, theory of mind, making people feel heard, responding to relationship issues and helping people reframe negative situations to reduce negative emotions.
“These models are increasingly achieving or surpassing human performance benchmarks in various domains, including medical diagnostic dialogue28, persuasive communication29, theory of mind30, making people feel heard31, responding to relationship issues32 and helping people reframe negative situations to reduce negative emotions33.”
From “It happened to be the perfect thing”: experiences of generative AI chatbots for mental health (2024) · cites this paper as [32]
Recent research shows that generative AI can help halt suicidal ideation, and that young people show a preference for generative AI support responses over those from peers, adult mentors and therapists - but not on topics that invoke the AI's safety guardrails.
“This resonates with recent research showing that generative AI can help halt suicidal ideation48, and that young people show a preference for generative AI support responses over those from peers, adult mentors and therapists – but not on topics that invoke the AI’s safety guardrails32.”
From “It happened to be the perfect thing”: experiences of generative AI chatbots for mental health (2024) · cites this paper as [32]
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Parental and Artificial Intelligence Perspectives on Adolescent Sexting: A Comparative Analysis
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Exploring Online Support Needs of Adolescents Living with Epilepsy
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Chaplains' Reflections on the Design and Usage of AI for Conversational Care
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Increasing use of generative artificial intelligence by teenagers
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- Authors
- Young, J., Jawara, L. M., Nguyen, D. N., Daly, B., Huh-Yoo, J., & Razi, A.
- Affiliations
- University of Michigan (US)
- Drexel University (US)
- College of Computing and Informatics, Drexel University, United States
- Venue
- Proceedings of the CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2024-05-11
- Pages
- 1-18
- OpenAlex
- W4396786284
- Cited by
- 59
- References
- 60
- Citations by year
- 2026: 27 · 2025: 26 · 2024: 6
- FWCI
- 24.01
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion)
- arXiv (Cornell University) (submittedVersion, cc-by-nc-nd)
- arXiv (Cornell University)
- Funders
- National Science Foundation (2144880)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Psychology › Social Psychology › Mental Health via Writing
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Keywords
- generative AI, peer support, youth, help-seeking, AI-generated responses, human-AI comparison, social media, suicidal ideation, sensitive topics, online training, youth well-being
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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