Less harmful social media
The strongest alternative to excluding minors from social media is not one parental-control setting or one literacy lesson. It is to redesign the service around relationships, expression, and deliberate choice rather than continuous engagement.
This approach starts from a more precise empirical claim. Social media is not one exposure, and neither “time online” nor the user’s age identifies the harm mechanism. Sleep-displacing notifications, appearance comparison, stranger contact, harassment, commercial profiling, and recommendation spirals are different problems. They require different interventions.
Social media has costs and functions
The JRC social media and youth mental health review found no uniform relationship between time or frequency of use and poor mental health. Effects were mixed, usually small, and dependent on the person, activity, content, and outcome measured. More consistent concerns involved problematic use, social comparison and appearance pressure, sleep disruption, and harmful encounters.
That distinction matters for policy. A generic reduction in use may leave the causal feature intact, move activity to another channel, or remove beneficial use alongside harmful use. One randomized restriction study found that university students substituted messaging for restricted social networks without significant gains in well-being or academic outcomes.1 It is not a study of younger adolescents, but it demonstrates why displacement must be measured rather than assumed away.
Young people use social media for friendship, social support, identity exploration, sexual and political expression, creative production, information, community, and participation. These benefits are not reasons to ignore harms. They are outcomes an intervention should try to preserve and costs that a blanket age gate must count.
Match each mechanism to a design response
The EU DSA protection of minors guidelines distinguish content, conduct, contact, consumer, and cross-cutting risks. The same separation produces a more useful design agenda:
| Mechanism | More direct product response | Outcome to test |
|---|---|---|
| Compulsive use and sleep displacement | End infinite scroll and autoplay; default notifications off, especially at night; add natural stopping points and user-set sessions | Sleep, unwanted time, ability to stop, and substitution to other services |
| Social comparison and appearance pressure | Hide public popularity metrics and appearance-altering filters by default; diversify recommendations; let users reset or reshape the feed | Body satisfaction, comparison, mood, and whether effects differ by user |
| Harmful recommendation spirals | Do not optimize solely for predicted engagement; downrank repeated high-risk material; add “show less”, feed reset, chronological and topic controls | Repeated exposure, recovery time, false positives, and access to supportive material |
| Harassment and unwanted adult contact | Private defaults; accepted-contacts-only messaging and tagging; group-add consent; block, mute, confidential reporting, and rapid human review | Unwanted contact, repeat offending, reporting burden, and retaliation |
| Grooming, sexual extortion, and location abuse | Stranger-message limits; adult-minor interaction constraints; location off; prevent download or screenshot where feasible; preserve evidence and escalate urgent cases | Initiation and migration of risky contact, successful intervention, and displacement |
| Surveillance advertising and manipulation | Contextual advertising; no profiling; clear commercial labels; no disguised advertisements or commercial AI nudges | Data collection, ad pressure, purchase behavior, and discrimination |
| Unwanted spending and gambling-like mechanics | Remove paid random rewards for minors or universally; show real-money prices and odds; default spending limits and deliberate purchase confirmation | Losses, regret, compulsive spending, and adult substitution |
| Privacy and audience collapse | Minimum collection; granular audiences; guided disclosure; searchable history and deletion; no contact upload by default | Unintended disclosure, control, comprehension, and social benefit |
| Crisis-related content | Distinguish promotion or instruction from recovery and peer support; use context-sensitive moderation, warnings, support routes, and human review | Escalation, help-seeking, stigma, false removal, and access to support |
| AI companions | Do not default users into a companion relationship; disclose its nonhuman status; prohibit dependency optimization; make memory transparent and deletable; provide crisis escalation | Emotional dependence, harmful advice, benefit, privacy, and transfer to human support |
The point is not that every listed intervention is already proven. It is that each can be evaluated against the mechanism it claims to change. “Keep under-16s out” is harder to interpret: any observed effect mixes lost harms, lost benefits, circumvention, and movement to other services.
Replace engagement-first architecture
Many platforms have a structural conflict. Their revenue increases when people return frequently, consume more recommendations, and generate more behavioral data. The same system can make protective settings cosmetic while the ranking and notification machinery still pushes engagement.
The European Commission’s 2026 preliminary findings against TikTok, Instagram, and Facebook focus on this architecture: infinite scroll, autoplay, push notifications, and highly personalized recommendations.2 3 These are preliminary enforcement views, not final legal findings, but they identify features that can be changed without excluding young people from communication.
A relationship-first service would instead make the user choose people, communities, or topics deliberately. It would provide bounded sessions and visible stopping points, separate recent posts from algorithmic suggestions, and let the user inspect, reset, or disable the inference profile. Success metrics would include unwanted exposure, sleep disruption, harassment, regretted use, and durable social benefit, not merely time spent or return frequency.
This could require a different business model. Subscription, public-service, cooperative, or contextual-advertising models do not automatically produce good design, but they can reduce the reward for maximizing surveillance and attention. Interoperability and data portability can also lower the cost of leaving a harmful service without losing every relationship.
Safer defaults are useful but incomplete
Ofcom protective social media defaults trial found that 94% of adults and participants aged 13 to 17 retained protective network, location, and messaging defaults in a simulated platform. This shows that protective defaults can be usable and persistent. The study did not expose people to a functioning social network or measure whether harms fell.
Defaults should therefore be treated as an implementation tool, not the outcome. Platforms should test whether they reduce unwanted contact, harmful repetition, sleep loss, or financial loss in real use. Independent researchers need access to the necessary platform data, and evaluations should publish effects by age, gender, vulnerability, and use pattern rather than only one average.
The same caution applies to literacy. Teaching users how ranking, editing, advertising, and social comparison work can support autonomy. One cluster-randomized social-media literacy intervention, however, did not improve the main body-image and well-being outcomes across its full sample; some benefits appeared only for girls at later follow-up.4 Literacy should complement changes to the environment rather than excuse a deliberately manipulative environment.
Different ages justify different autonomy
Age can still matter without treating everyone under 18 as one category.
- Prepubertal children can reasonably use small allowlisted networks, co-managed accounts, strong contact limits, and high-friction spending.
- Early adolescents may need private defaults, limits on discovery by unknown adults, bounded recommendation, and parent or trusted-adult support that does not expose every conversation.
- Older adolescents need increasing control over audience, contacts, information, and support. A system that treats them like young children can encourage false ages, secret accounts, and migration to less accountable services.
- Young adults may remain vulnerable to the same engagement machinery even though an age gate admits them.
The transition should follow evolving capacity and actual risk. It should not turn the eighteenth birthday into the moment when every manipulative feature becomes acceptable.
When an age proof is direct
Some social features change character at an age boundary. Adult dating pools, adult-minor contact restrictions, regulated purchases, and access to gambling transactions may justify a threshold proof. The proof should be applied to that pool, interaction, or transaction, not automatically to reading public information or maintaining friendships.
Age-range information may also be necessary to apply genuinely graduated defaults. In that case, the service should receive the coarsest sufficient range through an unlinkable proof where possible, retain no birth date, and avoid turning the result into a persistent advertising attribute. Age-proof unlinkability and account uniqueness explains the difference between anonymous threshold proof and one-person-one-account enforcement.
For most design harms, universal protections are preferable. A service can disable surveillance advertising, provide feed controls, stop unsolicited contact, and remove infinite scroll without knowing whether a person is 15, 25, or 75.
A proportionality test for social-media exclusion
Before imposing a platform-wide age gate, the proponent should answer five questions:
- Which mechanism and outcome are being prevented?
- Is the harm clear and severe, and how strong is the causal evidence?
- Why would redesign, moderation, literacy, transaction-level proof, or feature-level restrictions not mitigate it as effectively?
- Which benefits and rights would exclusion foreclose for different ages and populations?
- How will evaluation count circumvention, false ages, substitution, privacy loss, and movement to riskier services?
This test does not make age gates impermissible. It makes them one intervention that must outperform less intrusive ones for the specified harm. That is also the logic of Alternatives to age verification: classify the mechanism before classifying the person.
Research and design agenda
- Test bounded and user-directed feeds against engagement-maximizing feeds in real social networks.
- Measure sleep, unwanted exposure, harassment, regret, connection, support, and expression alongside time spent.
- Study effects separately for prepubertal children, early adolescents, older adolescents, and young adults.
- Compare universal safer defaults with age-tailored defaults that require anonymous age-range proof.
- Give young people meaningful power in study design, product governance, and interpretation of results.
- Audit whether platform safety tools alter the core recommender system or merely add controls that engagement design can override.