Meta to pay Texas $1.4B for using facial recognition without users' permission

Original Article ↗ Hacker News Discussion ↗

Scale and Meaning of the Fine

  • Meta’s $1.4B Texas settlement is framed as ~1% of revenue or ~3.5% of annual profit; some say that’s substantial enough to get investor attention, others call it a “cost of doing business.”
  • Commenters note this is at least Meta’s second major biometric settlement (after Illinois), raising the question of whether repeated fines will meaningfully deter.
  • Some argue fines become a stochastic tax: predictable enough to budget for, too small to change core behavior.

Do Fines Work as Deterrents?

  • One side: if expected fines exceed expected profit, companies will stop. Large, public penalties plus legal reserves visible in financial statements do matter.
  • Other side: firms can pass costs to consumers, treat fines as operating expenses, and keep pushing surveillance-based models until laws truly bite.
  • Calls for stronger remedies: escalating “three-strikes” style penalties, potential operating bans, or even personal liability and jail time for executives.

Consent, Opt‑In, and Dark Patterns

  • The facial recognition feature was nominally opt‑in, and many users enabled it, but several commenters distrust Meta’s framing of “opt‑in.”
  • Opt‑ins are often presented with nudges (“get notified when you appear in photos”) and tradeoffs (“feature won’t work otherwise”), undermining meaningful consent.
  • Some argue burying biometric collection in ToS shouldn’t count as consent, especially for people whose photos are uploaded by others and never used Facebook.

Who Should Get the Money?

  • Debate over whether states are “victims.” Comparisons to fines vs. restitution: fines go to government; restitution should go to affected users.
  • Some note prior Illinois actions did send hundreds of dollars per user; others complain many class actions yield trivial payouts while lawyers and states capture most of the value.
  • Practical concern: distributing $1.4B to millions of people is administratively costly but still potentially meaningful per person.

Privacy vs. Utility of Facial Recognition

  • Many find auto-tagging and face search genuinely useful, citing Apple Photos–style on-device recognition.
  • Others stress that server-side biometric collection is an unnecessary privacy invasion, especially when used for profiling or training models.
  • Strong sentiment that informed, explicit consent for biometric tracking should be a legal default, even if it reduces convenience.