Date
Publisher
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.
Study at a glance
- Question: Do young people prefer human- or AI-generated responses when seeking peer support online?
- Setting and data: 622 young people evaluating responses to help-seeking messages
- Method: Online survey evaluating blinded human- and AI-generated responses
Why it matters
As social media becomes young people's main method of peer support exchange, we need to understand when and how generative AI can facilitate and assist in such exchanges in a beneficial, safe, and socially appropriate way.
Key findings
- In an online survey of 622 young people, participants preferred AI-generated responses over human replies for relationship and self-expression concerns.
- Participants preferred AI-generated responses over human responses when seeking peer support for physical health issues.
- Young people preferred human responses over AI-generated options when addressing sensitive topics like suicidal thoughts.
Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.
What is the application?
Who is the user?
Who age?
Why use AI?
Study design
