Truth in Data, agentically summarized.
Requires platforms above 50M U.S. users to publicly disclose the high-level criteria of any automated system that ranks, recommends, or moderates user content, and to publish annual transparency reports audited by an independent third party.
2 support · 2 oppose
"I run an academic lab studying recommender systems. The current information asymmetry between platforms and the public is genuinely unprecedented. The annual audit, performed by an *independent* third party, is the minimum standard."
"A federal disclosure mandate around editorial criteria becomes the roadmap for state laws compelling specific content treatment. We've seen this play out in financial disclosure laws — the line moves every session."
"The 1M user trigger is too low. Hits indie creators with audience over that line. Should scale to compliance cost ratio — Meta can absorb it, a 6-person team cannot."
"The model weights stay private and the categorical inputs go public. That's the only line that distinguishes transparency from compelled speech. The Senate version weakens this with vague 'business confidentiality' carve-outs we should fight."