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Social AI Improves Well-Being Among Female Young Adults

1 Pith paper cite this work, alongside 50 external citations. Polarity classification is still indexing.

1 Pith paper citing it
50 external citations · Pith
abstract

The rise of language models like ChatGPT has introduced Social AI as a new form of entertainment, particularly among young adults who engage with AI-powered agents. This paper investigates the effects of these interactions on users' social and mental well-being, a subject that has incited extensive debate among both the public and scholars. Our study involved a survey of 5,260 users of Chai, a Social AI Platform. The findings indicate significant benefits, with notable variations across demographics. Female users, in particular, reported the most substantial improvements: 43.4% strongly agreed that Social AI positively impacted their mental health, exceeding male users by 10.5%. In managing social anxieties, 38.9% of females strongly agreed on a positive impact, compared to 30.0% for males and 27.1% for other genders. Historically, new media and technology have often been met with groundless moral panic, with societal figures raising concerns without substantial evidence of harm. Our research indicates the importance of approaching such claims with caution and emphasizes the necessity of an evidence-based perspective in discussions about the behavioral effects of emerging technologies.

fields

cs.AI 1

years

2026 1

verdicts

ACCEPT 1

representative citing papers

Artificial Intelligence Index Report 2026

cs.AI · 2026-04-14 · accept · novelty 5.0

AI capability, investment, and adoption accelerated in 2025 while benchmarks, safety reporting, talent inflows, and governance frameworks failed to keep pace, with new standalone evidence on science and medicine.

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Showing 1 of 1 citing paper.

  • Artificial Intelligence Index Report 2026 cs.AI · 2026-04-14 · accept · none · ref 3 · internal anchor

    AI capability, investment, and adoption accelerated in 2025 while benchmarks, safety reporting, talent inflows, and governance frameworks failed to keep pace, with new standalone evidence on science and medicine.