323 million people use online dating apps globally. 1 in 4 profiles is estimated to be fake. The FTC reported $1.14 billion in romance fraud losses in 2023. Comprehensive data from Pew Research, McAfee, the FTC, the FBI IC3, Statista, and Match Group.
| Metric | Figure | Source |
|---|---|---|
| Global online dating users | 323 million | Statista 2024 |
| US adults who have used a dating app | 30% | Pew Research 2023 |
| US adults under 30 who have used a dating app | 53% | Pew Research 2023 |
| Match Group paying subscribers (global) | ~15.2M | Match Group Q4 2024 |
| Tinder monthly active users (est.) | ~75 million | Statista 2024 |
| US couples who met online (2024) | ~40% | Stanford Social Dynamics Lab |
| US online dating market revenue (2024) | ~$3.0B | Statista 2024 |
| Platform | Key Fake Profile Stat | Source |
|---|---|---|
| Plenty of Fish (POF) | 78% of all fake dating app installs | McAfee 2026 |
| Tinder | 5.8M profiles removed for violations in H1 2024; 55% of malicious clones use AI photos | Match Group / McAfee 2026 |
| Bumble | ~900,000 fake profiles removed per month; 46% of women feel anxious about authenticity | Bumble 2024 / McAfee 2026 |
| Hinge | ~300,000 suspicious profiles removed per month | Match Group 2024 |
| Facebook Dating | 1.1 billion fake FB accounts removed in Q4 2024 (all Facebook) | Meta Transparency Report 2025 |
| Grindr | LGBTQ+ users 2.5x more likely to encounter fake profiles (ITRC 2023) | ITRC 2023 |
| Overall dating apps | 1 in 4 profiles estimated fake; 71% of users say lying is common | McAfee 2026 / Pew 2023 |
| Metric | Figure | Source |
|---|---|---|
| FTC romance fraud losses (2023) | $1.14B | FTC 2024 |
| FBI IC3 romance/confidence fraud (2024) | $672M | FBI IC3 2024 |
| Average loss per romance scam victim | $37,521 | FBI IC3 2024 |
| Estimated true losses incl. unreported (CFA est.) | ~$4.7B | Consumer Federation of America |
| US daters who have been asked for money | 13% | Pew Research 2023 |
| Daters who encountered a suspected catfish | 52% | Pew Research 2022 |
| Facebook as scam origin platform (FTC) | 57% | FTC 2024 |
| Instagram as scam origin platform (FTC) | 22% | FTC 2024 |
| Age Group | % Who Have Used Dating App | FBI IC3 Complaints (All Fraud) |
|---|---|---|
| 18–29 | 53% | 71,399 |
| 30–49 | 37% | 221,654 |
| 50–64 | 20% | 84,540 |
| 65+ | 13% | 147,127 |
Dating app usage: Pew Research 2023. IC3 complaints: FBI IC3 2024 Annual Report (all cybercrime types). Adults 65+ use dating apps less but suffer the most financial losses to online fraud.
AI image generation has fundamentally changed the fake profile threat landscape:
AI detection tools like Faux Spy analyze photo pixels for AI-generation signatures invisible to the human eye, achieving approximately 94% accuracy across Midjourney, DALL-E, Stable Diffusion, Adobe Firefly, and other major generators.
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Approximately 323 million people use online dating apps globally as of 2024 (Statista). In the United States, 30% of adults have used a dating app or website — rising to 53% of adults under 30 (Pew Research 2023). Approximately 40% of US couples who formed relationships in recent years met online (Stanford Social Dynamics Lab 2024).
1 in 4 online dating profiles is estimated to be fake or fraudulent, according to McAfee's 2026 Modern Love Report. Individual platforms report massive removal numbers: Bumble removes ~900,000 fake profiles per month, Tinder removed 5.8 million policy-violating profiles in H1 2024, and Facebook removes over 1 billion fake accounts quarterly across its platform.
The FTC reported $1.14 billion in romance fraud losses in 2023. The FBI IC3 reported $672 million in romance/confidence fraud in 2024. 52% of online daters have encountered a suspected catfish (Pew 2022). 13% have been asked for money by someone they met on a dating app (Pew 2023). The true total — including unreported cases — is estimated at $4.7 billion annually.
Plenty of Fish (POF) accounts for 78% of all fake dating app installations (McAfee 2026). However, by raw removal volume, Tinder (5.8M removed H1 2024) and Bumble (~900K/month) lead. Facebook Dating inherits fake accounts from the broader Facebook platform, which is the most common starting point for scams — 57% of FTC scam origin reports trace to Facebook.
Online dating is widely used and millions form genuine relationships through it, but significant fraud risks exist. Key protective steps: check profile photos with an AI detector (Faux Spy is free); run a reverse image search; request a real-time selfie; insist on a live video call before meeting; always meet in public for the first time; and never send money to someone you've only met online.
Pig butchering (sha zhu pan) is the fastest-growing variant. The scammer builds a romantic connection, then introduces a fake cryptocurrency investment platform. The victim makes small "test" investments that show fake profits, then invests a large amount — which the scammer steals. Global pig butchering losses are estimated at $12.4 billion in 2024. The FBI has designated it a top financial crime priority.
AI has made fake profiles dramatically harder to detect. Romance scammers now use AI image generators to create realistic fake photos of people who don't exist — faces with no match online that reverse image search cannot find. 1 in 4 Americans encountered an AI-generated dating app photo in 2026. AI chatbots also allow scammers to manage dozens of fake relationships simultaneously. AI detection tools are now essential for online dating safety.
Stop contact immediately. Right-click their photo and check it with Faux Spy — if it's AI-generated, you're talking to a scammer. Run a reverse image search. Demand a live video call. If they've already asked for money: do not pay; report to IC3.gov and ReportFraud.ftc.gov; contact your bank immediately if money was sent; and report the profile on the platform. The AARP Fraud Watch Network Helpline (1-877-908-3360) provides free support.
Faux Spy is a free Chrome and Firefox extension. Right-click any profile photo on Tinder, Bumble, Hinge, or any dating app. Get an instant Real vs. AI-Generated verdict in seconds.
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