S3292-119

In Committee

Platform Accountability and Transparency Act

119th Congress Introduced Dec 1, 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

This bill creates a government-supervised program allowing academic researchers to access internal data from large social media platforms (those with 50+ million US users). The National Science Foundation reviews research proposals, while the FTC sets privacy/security safeguards and enforces compliance.

Who Benefits and How

Academic researchers and universities gain unprecedented access to platform data for studying misinformation, algorithmic amplification, and social media's effects on society. Journalists benefit from a safe harbor protecting them when scraping publicly available platform data. The public benefits from increased transparency into how platforms operate and target content.

Who Bears the Burden and How

Large social media platforms (Facebook, TikTok, YouTube, X, etc.) must build data-sharing infrastructure and comply with researcher data requests - a significant operational and compliance burden. Platforms lose exclusive control over their internal data and face FTC enforcement penalties for non-compliance.

Key Provisions

  • Requires platforms with 50M+ US users to share data with qualified researchers approved by NSF
  • Creates liability immunity for platforms that comply with data-sharing requirements
  • Establishes safe harbor for researchers and journalists collecting publicly available platform data
  • Makes violations enforceable as unfair/deceptive practices under FTC Act with civil and criminal penalties

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

Establishes a framework requiring large social media platforms to provide data access to qualified researchers for independent public interest research, while creating safe harbors for platform transparency research.

Who Benefits

  • Academic researchers
  • Universities
  • Journalists

Who Bears Costs

  • Large social media platforms (Meta, TikTok, Google/YouTube, X)
  • Platform users (data subjects)

Key Policy Areas

Technology, Consumer Protection, Privacy, Research

Primary Purpose

Establishes a framework requiring large social media platforms to provide data access to qualified researchers for independent public interest research, while creating safe harbors for platform transparency research.

Policy Domains

Technology Consumer Protection Privacy Research

Legislative Strategy

"Create government-supervised research access to platform data while providing liability shields to encourage compliance"

Legislative Progress

In Committee
Introduced Committee Passed
Dec 1, 2025

Mr. Coons (for himself and Mr. Cassidy) introduced the following …

Dec 1, 2025

Read twice and referred to the Committee on Commerce, Science, …

Dec 1, 2025

Introduced in Senate

Stakeholder Effects

cui bono?

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

Government
10 mentions across 6 clauses
+3 positive -1 negative ?6 uncertain

Congress, Federal Trade Commission, Law enforcement and intelligence agencies

Positive-direction: Congress, Federal Trade Commission, National Science Foundation

Negative-direction: Law enforcement and intelligence agencies

Technology
9 mentions across 6 clauses
+2 positive -7 negative

AI/ML companies training large language models, Large social media platforms, Large social media platforms (Meta, TikTok, YouTube, X)

Positive-direction: Large social media platforms (for liability protection), Smaller social media platforms under 50M users

Negative-direction: AI/ML companies training large language models, Large social media platforms, Large social media platforms (Meta, TikTok, YouTube, X), Large social media platforms (Meta, TikTok, YouTube, X, etc.)

Research & Science
7 mentions across 7 clauses
+4 positive -3 negative

Academic researchers accessing platform data, Academic researchers and universities, Academic researchers seeking platform data

Positive-direction: Academic researchers and universities, Academic researchers studying platforms, University-affiliated researchers

Negative-direction: Academic researchers accessing platform data, Academic researchers seeking platform data, Researchers who violate privacy safeguards

Advertising And Related Services
1 mention across 1 clause
-1 negative

Digital advertising industry

News Publishers
1 mention across 1 clause
+1 positive

Investigative journalists

Education
1 mention across 1 clause
-1 negative

Universities with platform research programs

Consumers
1 mention across 1 clause
+1 positive

Platform users (data subjects)

9/11
sections analyzed
Full impact breakdown

Bill Structure & Actor Mappings

Who is "The Secretary" in each section?

Domains
Technology Privacy
Actor Mappings
"NSF"
→ National Science Foundation
"the_commission"
→ Federal Trade Commission
Domains
Research Technology Privacy
Actor Mappings
"NSF"
→ National Science Foundation
"the_commission"
→ Federal Trade Commission
Domains
Consumer Protection Enforcement
Actor Mappings
"the_commission"
→ Federal Trade Commission
Domains
Research Journalism Privacy
Domains
Technology Regulation
Actor Mappings
"NSF"
→ National Science Foundation
"the_commission"
→ Federal Trade Commission

Key Definitions

Terms defined in this bill

3 terms
"platform" §2

Entity subject to FTC jurisdiction that operates a website/app allowing user-generated content, with 50M+ unique monthly US users

"qualified data and information" §2_qualified_data

Data from platforms that NSF determines necessary for qualified research, excluding private messages, biometric info, and precise location data

"covered information" §8_covered_information

Publicly available information including targeted/amplified content and information about advertisements shown on platforms

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