Original Steelman
Minors have reduced capacity to understand and resist persuasive design and behavioral targeting, so limiting targeted advertising is a proportionate privacy and consumer-protection measure. Social media platforms collect extensive behavioral data (clicks, watch time, social graphs, location signals) that can be used to infer vulnerabilities and optimize ads for engagement, increasing risks of manipulation, unhealthy consumption patterns, and exposure to inappropriate content. Because minors cannot meaningfully consent and parents often lack visibility into data practices, regulation can set a clear baseline: minimize data collection and prohibit or sharply constrain behavioral targeting for under-18 users. This approach preserves access to services while shifting monetization toward less invasive methods (e.g., contextual ads) and aligns incentives away from maximizing surveillance. It also creates clearer accountability for platforms that profit from youth attention and reduces long-term privacy harms from early-life profiling that can persist into adulthood.
Counter-Argument Steelman
Limiting targeted ads to minors may be well-intentioned but can be overbroad and hard to implement cleanly. Platforms often cannot reliably verify age without collecting more sensitive data, so a restriction could paradoxically incentivize more intrusive identity checks. A blanket limit may also reduce funding for free services, pushing platforms toward subscriptions or other monetization that could disadvantage lower-income users. Targeting can sometimes be used for benign or beneficial purposes (e.g., directing teens to mental health resources, educational opportunities, or age-appropriate products), and a strict prohibition could reduce relevance while not addressing other harms like addictive design, influencer marketing, or data brokerage outside the platform. Enforcement is also challenging across jurisdictions and could create compliance burdens that entrench large incumbents. Finally, “targeted advertising” is ambiguous: contextual ads, interest-based segments, and lookalike audiences differ, and poorly defined rules can lead to inconsistent application and legal uncertainty.