How Social Media Hooks Children?
How Social Media Hooks Children?
Context:
Meta Settlement and Need for Regulation
- Meta Platforms agreed to pay up to $17.1 billion to several U.S. states over allegations involving addictive platform design and child privacy.
- The settlement requires changes to Facebook and Instagram for users under 18 in participating U.S. jurisdictions.
- India is examining similar measures, including age-based restrictions, usage limits and stronger parental consent.
- The key shift is from relying only on parents and voluntary safety tools to making platforms accountable for product design.
Addictive Design and Mental Health
- Features such as endless scrolling, recommendation algorithms, notifications, autoplay and visible likes/views are designed to maximise engagement.
- Such features can contribute to anxiety, depression, loneliness, low self-esteem and sleep problems among adolescents.
- A 2024 meta-analysis of 143 studies involving over one million adolescents found greater social-media engagement associated with higher anxiety and depression.
- Reducing social-media use has also been associated with improvements in mental health, sleep and loneliness.
Safeguards Agreed by Meta
- Two-hour daily limit across Facebook and Instagram for under-18 users; parents can modify the limit.
- Midnight–6 a.m. access restrictions and muted notifications during night and school hours.
- Non-personalised feed option.
- Likes and reactions hidden by default.
- Restrictions on cosmetic-procedure and extreme-makeup filters.
- Stronger age assurance and parental controls.
- Prompts after 15 minutes of continuous scrolling.
- An independent auditor will assess compliance for five years.
Lessons for India
- The settlement highlights that platform architecture itself can influence user behaviour, so responsibility cannot rest entirely on children and parents.
- India is considering graded, age-based restrictions for children's social-media use.
- However, simply reducing screen time may not be sufficient; regulators must examine what recommendation algorithms show children and how they drive continued engagement.
- Effective regulation should therefore focus on default safeguards, algorithmic accountability, independent research access and measurable health outcomes rather than merely checking whether safety features exist.
