HR6266-119

Introduced

To amend section 230 of the Communications Act of 1934 to limit liability protection under that section for certain social media platforms, and for other purposes.

119th Congress Introduced Nov 21, 2025

Analysis under review: This bill has generated analysis that may be too generic or incomplete. Clause-level evidence remains available below.

Summary

What This Bill Does

Narrows Section 230 protections for certain large social media platforms by requiring reasonable care for recommendation-based algorithms and permitting lawsuits over foreseeable bodily injury or death linked to those systems.

Who Benefits and How

Users harmed by recommendation-based algorithms gain stronger legal recourse and potential pressure for safer product design.

Who Bears the Burden and How

Covered social media platforms face greater design, testing, moderation, and litigation exposure tied to recommendation systems.

Key Provisions

  • Adds a reasonable-care duty for recommendation-based algorithms on covered social media platforms.
  • Narrows Section 230 immunity for qualifying bodily-injury and death claims.
  • Bars pre-dispute arbitration and certain venue or choice-of-law waivers for covered claims.

Evidence Chain:

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

At a Glance

What This Bill Does

Narrows Section 230 protections for certain large social media platforms by requiring reasonable care for recommendation-based algorithms and permitting lawsuits over foreseeable bodily injury or death linked to those systems.

Key Policy Areas

Technology, Government Operations, Civil Rights

Primary Purpose

Narrows Section 230 protections for certain large social media platforms by requiring reasonable care for recommendation-based algorithms and permitting lawsuits over foreseeable bodily injury or death linked to those systems.

Policy Domains

Technology Government Operations Civil Rights

Main Provisions

Identified Gains
Contextual inference, no direct clause citation
  • Users harmed by algorithmic recommendation systems
  • Plaintiffs seeking access to court for covered harms
Model: codex-gpt-5 | Version: bill_summary_v2 | Source: ih

Contextual inference, no direct clause citation

Identified Costs
Contextual inference, no direct clause citation
  • Covered large social media platforms
  • Platform legal, safety, and moderation teams
Model: codex-gpt-5 | Version: bill_summary_v2 | Source: ih

Contextual inference, no direct clause citation

Legislative Progress

Introduced
Introduced Committee Passed
Nov 21, 2025

Mr. Kennedy of Utah (for himself and Mrs. McClain Delaney) …

Stakeholder Effects

cui bono?

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

Technology
1 mention across 1 clause
-1 negative

Covered large social media platforms

Civil Liberties
1 mention across 1 clause
+1 positive

Users exposed to harmful recommendation-driven content

1/2
sections analyzed
Full impact breakdown

Bill Structure & Actor Mappings

Who is "The Secretary" in each section?

Domains
Technology Government Operations Civil Rights

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