Section 230 Other

Doe v. Meta Platforms, Inc.

🏛 District Court, D. Colorado (appears to be a state court filing exhibit in a federal case) · 📅 2026-02-12 · 📑 Case No. 1:26-cv-00576-SBP

Issue

Whether Meta Platforms/Instagram's recommendation algorithm that connected a 13-year-old with an adult sex offender operating a fake account constitutes a product design defect giving rise to tort liability, and whether Section 230 of the Communications Decency Act bars such claims.

What Happened

Plaintiffs Mother Doe and Minor Doe filed this state court complaint in Arapahoe County District Court on December 23, 2025 (subsequently removed to D. Colorado), asserting that Instagram's algorithm affirmatively recommended a fraudulent account operated by an adult sex offender to a 13-year-old user who accurately identified herself as a minor, and that two Lyft drivers then transported the minor—on rides ordered through a facially fictitious account ("Frank Frank")—to and from the assailant's residence where she was drugged, kidnapped, and violently sexually assaulted over 18 hours. Plaintiffs allege that Meta failed to detect or remove the predator's fake account despite his prior criminal history, that Instagram's algorithm was the proximate mechanism pairing the two users, and that Lyft failed to enforce its own policies prohibiting transport of unaccompanied minors. The complaint pleads product design defect, negligence, and related tort theories, and invokes the Ending Forced Arbitration of Sexual Assault and Sexual Harassment Act (9 U.S.C. §402) to defeat any arbitration clause.

Why It Matters

This complaint directly tests whether plaintiffs can characterize Instagram's recommendation algorithm as a defective product—rather than as editorial publishing activity—to circumvent Section 230 immunity, following the analytical framework signaled in *Gonzalez v. Google* and pursued in the state attorneys general social-media litigation; a ruling on Meta's anticipated §230 defense could meaningfully clarify whether algorithmically generated user-to-user recommendations constitute protected publisher functions or actionable product design choices under Colorado law.

Related Filings

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