Is Your App Charging You More? China Cracks Down on Hidden Fees

You and your colleague book the exact same flight on the exact same day. You’re sitting in neighboring seats. Then comes the small talk: “So, how much did your ticket cost?”

The number your colleague casually mentions is hundreds of yuan less than what you paid. For a moment, you feel confused. Then frustrated. Then angry. You’ve just encountered “big data killing the familiar”—and you didn’t even see it coming.

For millions of people in China, this scenario isn’t hypothetical. It’s happening every day, on apps you probably use right now. And the backlash has grown so loud that China’s government just launched an antitrust investigation into one of the country’s biggest travel platforms.

Meet Ms. Hu. She was a loyal customer—the kind companies love. A “diamond member” of Trip.com, China’s online travel giant. In July 2020, she booked a hotel room through the app for 2,889 yuan. The next day, she discovered the hotel’s actual price for that exact room: 1,377 yuan.

She had been “cooked.”

Ms. Hu sued. And she won. Her 2021 case became the first of its kind after China’s Civil Code took effect, sending shockwaves through the tech industry. Finally, a consumer had fought back against the algorithm—and won.

Fast forward to January 2026. The State Administration for Market Regulation has launched a formal antitrust investigation into Trip.com Group, accusing it of abusing its dominant market position. The charges include “big data killing the familiar” and forcing hotels into exclusivity deals that limit consumer choice.

Trip.com isn’t just another travel site. It also controls Qunar and has a stake in Tongcheng Travel. Together, these platforms command a staggering share of China’s online travel market. Its financials tell the story: an 81% gross margin and a 32% net margin, making it one of China’s most profitable internet companies.

Profitability that impressive? Someone has to pay for it. Often, that someone is you.

Here’s how it works. You search for a flight. You check again the next day. The price goes up. You check again—up again. Panic sets in. You book before it goes even higher.

Congratulations. The algorithm just won.

This practice, known as “dynamic pricing,” has evolved into something far more sophisticated: “surveillance pricing.” Companies don’t just track demand anymore. They track you. Your device model. Your location. Your browsing history. Your past purchases. How long you stare at a screen. Even your phone’s battery life.

All these data points feed into an AI system that calculates one thing: the maximum price you’re willing to pay.

In 2025, Delta Air Lines announced it was rolling out AI-driven dynamic pricing to find each passenger’s “most willing to pay” price. The announcement sparked outrage, with critics warning that if multiple airlines use the same AI platforms, prices could rise in unison across competitors—eliminating choice entirely.

Meanwhile, in China, the consumer complaints platform Black Cat has received nearly 500 reports specifically about Trip.com’s “big data killing the familiar.” Screenshots show price differences of up to 100% for identical flights.

If you scroll through Xiaohongshu (Little Red Book) these days, you’ll find something strange. Thousands of posts under the hashtag “special thread for cursing airline tickets.” Users writing desperate messages to the algorithm: “Too expensive, not buying anymore!” “I trusted you, and you let me down!” “Please lower the price, I really want to visit Xinjiang!”

This is “fa feng wen xue”—”crazy talk literature.” Young Chinese consumers are flooding social media with “poor-mouthing” posts, hoping to trick the algorithm into thinking they can’t afford a trip.

Does it work? Probably not. During the 2025 May Day holiday, domestic flight bookings soared 36% compared to the previous year. The “crazy talk” isn’t really about winning. It’s about feeling powerless in a system where the rules are invisible.

Others have taken more creative approaches. They regularly uninstall and reinstall apps to appear as new users. They switch between food delivery platforms, never staying loyal to one. They use cheaper phone models to place orders, believing it signals “lower spending power.”

One industry insider told media that these tactics probably don’t work. Platforms have more direct data to determine your price: your device, your location, your age, your spending history. What you say on social media? That’s just noise.

So if “crazy talk” won’t save you, what will? A few things might help:

Use multiple devices. Check prices on your phone, then on a friend’s phone, then on a computer. You might be surprised at the differences.

Clear your cache. Regularly delete cookies and browsing history from travel and shopping sites.

Don’t stay loyal. Use different apps for different purchases. The algorithm rewards loyalty with higher prices, not discounts.

Book early or very late. For flights, booking well in advance or at the very last minute can sometimes beat the dynamic pricing curve.

Complain officially. If you suspect you’ve been “cooked,” file a complaint through official channels. Platforms like Black Cat aggregate consumer reports and can trigger investigations.

Here’s the uncomfortable truth: “big data killing the familiar” isn’t a bug. It’s a feature. Algorithms are designed to maximize profit, not fairness. When companies collect your data, they’re not trying to serve you better. They’re trying to charge you more.

In绍兴, the court that ruled for Ms. Hu sent a clear message: consumers have rights. The 2026 investigation into Trip.com sends another: regulators are watching.

But laws alone won’t solve this. Technology evolves faster than legislation. What’s needed is a shift in how we think about data. Your digital footprint isn’t just a collection of ones and zeros. It’s a map of your life. And right now, companies are using that map to find the exact spot where your wallet hurts most.

The young people posting “crazy talk” on social media aren’t trying to defeat the algorithm. They’re asking for something more basic: to be treated fairly, to have a choice, to trust that the price they see is real.

In a world where algorithms can see everything, that trust is becoming the rarest commodity of all.