HR7433-119

In Committee

Kids Off Social Media Act

119th Congress Introduced Feb 9, 2026

Summary

What This Bill Does

Title I defines covered social media platforms as public-facing consumer services that collect personal data, primarily monetize through advertising or data sales, and primarily provide user-generated community forums, while excluding email, direct messaging, video conferencing, cloud/file tools, business-to-business tools, educational systems, games, news or entertainment content, and broadband or VPN services. Platforms may not permit known children under 13 to create or maintain accounts; must terminate known child accounts; must delete collected or submitted personal data while allowing a 90-day export window; and may retain only minimum compliance records. Platforms may not use personal data in personalized recommendation systems for known children or teens, except limited device, language, city, age, or child/teen status data, and may still provide deliberate search results, safety filtering, security measures, anti-crime measures, and chronological feeds for followed or subscribed content. Knowledge is based on competent and reliable evidence and total circumstances, but platforms are not required to add age gates or collect new age data; any age data voluntarily collected for compliance is use-limited and retention-limited. FTC enforces as an unfair-or-deceptive-practice rule, state attorneys general can sue for injunctions, compliance, damages, restitution, compensation, or other relief, and conflicting state laws are preempted only to the extent of conflict. Title II updates CIPA and E-rate: schools receiving section 254(h) discounted services must certify policies that monitor supported services, devices, and networks and operate technology protection measures blocking student access to social media platforms, with implementation timing, waivers for procurement delays, funding ineligibility or reimbursement for noncompliance, FCC enforcement and good-faith limits, a non-school-library exemption, and FCC internet safety policy database requirements.

Who Benefits and How

Children under 13 benefit from account removal and data deletion when platforms know they are children. Teen users benefit from limits on personalized recommendation systems that rely on their personal data. Parents, schools, and local educational agencies benefit from school-network blocking requirements tied to E-rate support. FTC, state attorneys general, and FCC gain defined enforcement, certification, and database roles.

Who Bears the Burden and How

Social media platforms must identify known child accounts, terminate those accounts, delete or export personal data, limit recommendation systems for known children and teens, restrict compliance-related age data use and retention, and face FTC or state attorney general enforcement. Schools, school boards, and local educational agencies must certify and operate social-media blocking technology on supported services, devices, and networks or risk losing E-rate discounts or reimbursing funds. FCC must amend rules within 120 days, enforce the new E-rate condition, and maintain a public database of internet safety policies.

Key Provisions

  • Prohibits social media platforms from allowing known children under 13 to create or maintain accounts and requires termination, data deletion, and a 90-day data export window.
  • Bars personalized recommendation systems for known children or teens when based on personal data, while preserving deliberate search, safety filtering, security, anti-crime measures, and chronological followed-content feeds.
  • Uses an objective-circumstances knowledge standard but says platforms need not add age gates, age verification, or new age-data collection.
  • Authorizes FTC enforcement and state attorney general suits for injunctions, compliance, damages, restitution, compensation, or other relief.
  • Conditions school E-rate support on certifications that student use of supported services, devices, and networks is monitored and blocked from social media platforms through technology protection measures.
  • Requires FCC rulemaking within 120 days, good-faith limits on fund recovery, school compliance remedies, a non-school-library exemption, and a public database of school internet safety policies.

Evidence Chain:

This summary is generated from the full bill text using AI analysis. Expand "Detailed Analysis" below for identified beneficiaries/burden bearers with clause-level evidence links.

At a Glance

What This Bill Does

Restricts social media platform accounts and algorithmic recommendations for children and teens, gives FTC and state attorneys general enforcement authority, and conditions school E-rate support on blocking student access to social media platforms on supported services, devices, and networks.

Key Policy Areas

Technology, Consumer Protection, Education, Telecommunications

Primary Purpose

Restricts social media platform accounts and algorithmic recommendations for children and teens, gives FTC and state attorneys general enforcement authority, and conditions school E-rate support on blocking student access to social media platforms on supported services, devices, and networks.

Policy Domains

Technology Consumer Protection Education Telecommunications

Substantive provisions

Identified Gains
  • Children under 13
  • Teen users
  • Parents
  • Schools
  • Local educational agencies
  • FTC
  • State attorneys general
  • FCC
Model: codex-gpt-5 | Version: bill_summary_v2 | Source: ih
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Parents: , , , , ,
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Teen users: , , , , ,
Children under 13: , , , , ,
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Identified Costs
  • Social media platforms
  • School boards
  • Local educational agencies
  • FCC
  • FTC
Model: codex-gpt-5 | Version: bill_summary_v2 | Source: ih
FCC: , , , , ,
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School boards: , , , , ,
Social media platforms: , , , , ,
Local educational agencies: , , , , ,

Legislative Progress

In Committee
Introduced Committee Passed
Feb 9, 2026

Referred to the House Committee on Energy and Commerce.

Feb 9, 2026

Introduced in House

Feb 9, 2026

Mrs. Luna (for herself and Ms. Schrier) introduced the following …

Stakeholder Effects

cui bono?

How this legislation distributes effects. Mention counts reflect frequency, not effect magnitude.

Education
8 mentions across 4 clauses
+2 positive -5 negative ?1 uncertain

Educational technology providers, Libraries, Local educational agencies

Positive-direction: Educational technology providers, Students

Negative-direction: Libraries, Local educational agencies, School boards, Schools

Government
7 mentions across 6 clauses
+2 positive -2 negative ?3 uncertain

Federal Communications Commission, Federal Trade Commission, Federal courts

Positive-direction: Federal Trade Commission, State attorneys general

Negative-direction: Federal Communications Commission

Technology
7 mentions across 7 clauses
+1 positive -5 negative ?1 uncertain

Social media platforms, Technology protection vendors

Positive-direction: Technology protection vendors

Negative-direction: Social media platforms

Consumers
4 mentions across 3 clauses
+4 positive

Children under 13, Teen users

General Public
3 mentions across 3 clauses
+3 positive

Parents, State residents

State & Local Government
1 mention across 1 clause
+1 positive

States with stronger child privacy laws

9/13
sections analyzed
Full impact breakdown

Bill Structure & Actor Mappings

Who is "The Secretary" in each section?

Domains
Technology Consumer Protection Education Telecommunications
Actor Mappings
"state_ag"
→ State attorney general
"commission_title_i"
→ Federal Trade Commission
"commission_title_ii"
→ Federal Communications Commission

Key Definitions

Terms defined in this bill

2 terms
"Social media platform" §social media platform

A public-facing consumer service that collects personal data, primarily monetizes advertising or data sales, and primarily provides a user-generated community forum, with listed exclusions.

"Personalized recommendation system" §personalized recommendation system

A fully or partially automated system that suggests, promotes, or ranks content, users, or posts based on user personal data.

We use a combination of our own taxonomy and classification in addition to large language models to assess meaning and potential beneficiaries. High confidence means strong textual evidence. Always verify with the original bill text.

Learn more about our methodology