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Q. “Banning social media for minors is a legislative shortcut that ignores the root causes of the attention economy.” Examine this statement in the context of global trends and India’s platform governance regime. (15 Marks, 250 Words)

July 2, 2026

GS Paper IIGovernance

Core Demand of the Question

  • Global trends around Platform Governance
  • Limitations of Ban
  • Way Forward

Answer

Introduction

The proposal to ban social media for minors reflects a global policy trend aimed at addressing digital harms among children. However, such bans largely operate as legislative shortcuts that shift responsibility from platform architecture to user restriction, without addressing the structural drivers of the attention economy such as algorithmic addiction, engagement-maximising design, and data extraction.

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Global Trends

  • Age-gating and bans : Countries like the UK, France, Australia, Indonesia, and Canada are moving towards restricting under-16 access.
    Eg: Australia’s age-gating measures have reportedly pushed minors towards less regulated platforms rather than safer digital spaces.
  • Screen-time caps as behavioural control tools : Some jurisdictions adopt usage limits rather than full bans.
    Eg: China’s mandated screen-time limits for minors aim to reduce addiction but rely heavily on intrusive verification systems.
  • Structural limitation of restriction-based models : Enforcement depends on age verification and household monitoring. These approaches often increase surveillance and data collection risks rather than reducing harm

India’s Platform Governance Regime

  • Regulatory foundation : Compliance-heavy rather than design-focused.
  • Emerging state-level push for bans : Several states have considered restricting social media access for minors.
    Eg: Proposed under-16 bans in Indian states mirror global age-gating trends but raise jurisdictional concerns.
  • Weak enforcement of platform accountability : Focus remains on content takedown rather than algorithmic transparency. Platforms retain discretion over engagement-driven design systems that fuel attention capture.

Limitations of Bans

  • Algorithmic addiction as structural, not incidental : Platforms optimise for engagement, not wellbeing. Recommender systems amplify outrage and addictive content loops to maximise screen time.
  • Circumvention and behavioural displacement : Minors can bypass restrictions through shared accounts or alternate platforms. Age restrictions often lead users to migrate to less regulated apps rather than exit digital ecosystems.
  • Data extraction incentives remain untouched : Even with bans, platforms continue to design systems targeting user retention and profiling. The economic model of surveillance capitalism remains intact

Way Forward

  • Algorithmic accountability : Shift from access restriction to algorithmic accountability frameworks mandating transparency in recommender systems.
  • Audits : Mandate design audits and safety-by-design standards for platforms engaging minors.
  • Digital Literacy : Strengthen digital literacy and cognitive resilience programmes in schools instead of punitive bans.
  • Risk based Regulations : Develop risk-based regulation, distinguishing between high-risk addictive designs and neutral content platforms.
  • Independent Regulators : Establish independent regulators to oversee platform compliance beyond self-regulation.

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Conclusion

Banning social media for minors may appear administratively convenient but fails to address the structural incentives of the attention economy. A sustainable regulatory approach for India requires moving beyond age-based exclusion towards platform accountability, design transparency, and user empowerment within a robust digital governance ecosystem.

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“Banning social media for minors is a legislative shortcut that ignores the root causes of the attention economy.” Examine this statement in the context of global trends and India’s platform governance regime. (15 Marks, 250 Words)

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