<b><i>Online Extra</b></i> FTC Sues Online Dating Site Over Fake Flirty Profiles

On Oct. 29, the FTC brought its first law enforcement action against an online dating service, suing JDI Dating Ltd. in U.S. District Court for the Northern District of Illinois. The company agreed to pay $616,165 to settle the case, quit using virtual profiles and modify its billing practices.

6 minute read October 31, 2014 at 07:47 PM
By
Jenna Greene
<b><i>Online Extra</b></i> FTC Sues Online Dating Site Over Fake Flirty Profiles

That handsome stranger who likes pi'a coladas and getting caught in the rain, the one who just winked at you online? He might be a computer-generated fake, trying to trick you into upgrading to a paid online dating membership, according to the Federal Trade Commission.

This premium content is locked for LawJournalNewsletters subscribers only

ENJOY UNLIMITED ACCESS TO THE SINGLE SOURCE OF OBJECTIVE LEGAL ANALYSIS, PRACTICAL INSIGHTS, AND NEWS IN LawJournalNewsletters

  • Stay current on the latest information, rulings, regulations, and trends
  • Includes practical, must-have information on copyrights, royalties, AI, and more
  • Tap into expert guidance from top entertainment lawyers and experts
Subscribe Now

Already have an account? Sign In Now

For enterprise-wide or corporate access, please contact Customer Service at [email protected] or call 1-877-256-2473.

NOT FOR REPRINT

© 2026 ALM Global, LLC, All Rights Reserved. Request academic re-use from www.copyright.com. All other uses, submit a request to [email protected]. For more information visit Asset & Logo Licensing.

Continue Reading

Real Property Law

Adverse Possessor Provided Insufficient Evidence to Support TackingTown’s Installation of Guardrails Did Not Constitute a TakingMortgagee Entitled to Deficiency JudgmentLandowner Adequately Alleged Trespass During Renovation

August 13, 2026

Applying the Zero Trust Model to Manage Risks of Agentic AI

Agentic AI introduces risks that are novel and complex, but the most effective response is a familiar one. Zero Trust answers the problem of when an AI agent misfires on its own by constraining what an agent can do rather than betting on how it will behave.

August 01, 2026
Centellic Logo

© Copyright 2026 ALM Global, LLC trading as Centellic.

Advertise with Us Customer Support Terms of Service